{"id": "00186862c4e093b7", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 1: Discover", "Why"], "section_title": "Why", "section_body": "Why\n\nYou cannot script what you have not seen. Fields may be `<input>` not `<textarea>`, dropdowns may be custom components not `<select>`, and comment boxes may support `@mentions` or `#tags`. Assumptions break recordings silently.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "5819f732a8862d736d04c4fba6960ce8d069b3e6902bc51bacb09ac002778e25", "alias_sources": []}
{"id": "00b31c4d10d1000f", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding NestJS APIs or services\n\nStructuring modules, controllers, and providers\n\nAdding DTO validation, guards, interceptors, or exception filters\n\nConfiguring environment-aware settings and database integrations\n\nTesting NestJS units or HTTP endpoints", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "662cce7eec0a329f87a8a251344c40db6d68c29295a19f5d3c560bf78a58863f", "alias_sources": []}
{"id": "00d08cb8aa2196b8", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Best Practices"], "section_title": "Best Practices", "section_body": "Ktor testApplication Testing\n\nTesting Commands\n\nBest Practices\n\n**DO:**\n\nWrite tests FIRST (TDD)\n\nUse Kotest's spec styles consistently across the project\n\nUse MockK's `coEvery`/`coVerify` for suspend functions\n\nUse `runTest` for coroutine testing\n\nTest behavior, not implementation\n\nUse property-based testing for pure functions\n\nUse `data class` test fixtures for clarity\n\n**DON'T:**\n\nMix testing frameworks (pick Kotest and stick with it)\n\nMock data classes (use real instances)\n\nUse `Thread.sleep()` in coroutine tests (use `advanceTimeBy`)\n\nSkip the RED phase in TDD\n\nTest private functions directly\n\nIgnore flaky tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:build", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "ffc627cf90ab6d3ef48c70394c26c8848aaff9a21b93fcdfd7ce78d85f62e4f4", "alias_sources": []}
{"id": "00dcc68ac3666cfc", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 1: Discover", "Output"], "section_title": "Output", "section_body": "Output\n\nA field map for each page, used to write correct selectors in the script. Example:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "f9b7468025befd90569f8f181f936f1abdfa97e276404b84b49085d285c73564", "alias_sources": []}
{"id": "00e6cd97914a457d", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBefore opening a pull request for a Django project\n\nAfter major model changes, migration updates, or dependency upgrades\n\nPre-deployment verification for staging or production\n\nRunning full environment \u2192 lint \u2192 test \u2192 security \u2192 deploy readiness pipeline\n\nValidating migration safety and test coverage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:deploy"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "63d8d8934ffa1d14f4f7cf212e76254adf1c391d9852dfde7248b044036bda65", "alias_sources": []}
{"id": "00f1df1330198d9f", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops"], "section_title": "Enterprise Agent Ops", "section_body": "Enterprise Agent Ops\n\nUse this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "657d9a2d5b43e3a689167d78ddc05e1b4957436397a2e4b8757dba00ebe2a382", "alias_sources": []}
{"id": "00f70a6dca623fc3", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Multi-site RFP**: 25 facilities across PJM and ERCOT with $40M annual spend. Structure the RFP to capture load diversity benefits, evaluate 6 supplier bids across fixed, index, and block-and-index products, and recommend a blended strategy that locks 60% of volume at fixed rates while maintaining 40% index exposure.\n\n**Demand charge mitigation**: Manufacturing plant in Con Edison territory paying $28/kW demand charges on a 2MW peak. Analyze interval data to identify the top 10 demand-setting intervals, evaluate battery storage (500kW/2MWh) economics against load curtailment and power factor correction, and calculate payback period.\n\n**PPA evaluation**: Solar developer offers a 15-year virtual PPA at $35/MWh with a $5/MWh basis risk at the settlement hub. Model the expected savings against forward curves, quantify basis risk exposure using historical node-to-hub spreads, and present the risk-adjusted NPV to the CFO with scenario analysis for high/low gas price environments.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "80603b3a3bf02f8a8f9d7a7247200c4f410f8bb95ceb3583161cb58eed3c9dcf", "alias_sources": []}
{"id": "0106a36aeccf655a", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "3. Widget Best Practices", "Key usage:"], "section_title": "Key usage:", "section_body": "Key usage:\n\n[ ] `ValueKey` used in lists/grids to preserve state across reorders\n\n[ ] `GlobalKey` used sparingly \u2014 only when accessing state across the tree is truly needed\n\n[ ] `UniqueKey` avoided in `build()` \u2014 it forces rebuild every frame\n\n[ ] `ObjectKey` used when identity is based on a data object rather than a single value", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "edf82e26c0b11009af7a5f5f3ba0e3edab50263a3508f20ac02a15c782318f90", "alias_sources": []}
{"id": "014d26bd1f9580ce", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "12. Error Handling", "Error reporting:"], "section_title": "Error reporting:", "section_body": "Error reporting:\n\n[ ] Error reporting service integrated (Firebase Crashlytics, Sentry, or equivalent)\n\n[ ] Non-fatal errors reported with stack traces\n\n[ ] State management error observer wired to error reporting (e.g., BlocObserver, ProviderObserver, or equivalent for your solution)\n\n[ ] User-identifiable info (user ID) attached to error reports for debugging", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "ecef2d3c2281753dfb1bc9317bfe79c5d7a31450491103bb20549f45a0016d6e", "alias_sources": []}
{"id": "0168006783cab229", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Testing Standards", "Test Structure (AAA Pattern)"], "section_title": "Test Structure (AAA Pattern)", "section_body": "Memoization\n\nLazy Loading\n\nDatabase Queries\n\nTesting Standards\n\nTest Structure (AAA Pattern)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "c49e6fe26aecdfaf2687b04f2a5a9b296473b899540d4640ccd8f258510377dc", "alias_sources": []}
{"id": "0168167f40cfcf89", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "How It Works", "Step 1: Discover Available Agents"], "section_title": "Step 1: Discover Available Agents", "section_body": "How It Works\n\nStep 1: Discover Available Agents\n\nRun `claude agents` to get the full agent list. Parse each line:\n\n**Plugin agents** are prefixed with `plugin-name:` (e.g., `everything-claude-code:security-reviewer`). Use the part after `:` as the agent name and the plugin name as the domain.\n\n**User agents** have no prefix. Read the corresponding markdown file from `~/.claude/agents/` or `./agents/` to extract the name and description.\n\n**Built-in agents** (e.g., `Explore`, `Plan`) are skipped unless the user explicitly asks to include them.\n\nFor user agents loaded from markdown files:\n\n**Subdirectory layout:** extract the domain from the parent folder name\n\n**Flat layout:** collect all filename prefixes (text before the first `-`). A prefix qualifies as a domain only if it appears in 2 or more filenames (e.g., `engineering-security-engineer.md` and `engineering-software-architect.md` both start with `engineering` \u2192 Engineering domain). Files with unique prefixes (e.g., `code-reviewer.md`, `tdd-guide.md`) are grouped under \"General\"\n\nExtract the agent name from the first `# Heading`. If no heading is found, derive the name from the filename (strip `.md`, replace hyphens with spaces, title-case)\n\nExtract a one-line summary from the first paragraph after the heading\n\nIf no agents are found after running `claude agents` and probing file locations, inform the user: \"No agents found. Run `claude agents` to verify your setup.\" Then stop.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:test"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "3b24de73c63855548c8d913fd160eee708c1ce4e750b125037080e5ad101512c", "alias_sources": []}
{"id": "018da21afa3db815", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Comprehensions and Generators", "List Comprehensions"], "section_title": "List Comprehensions", "section_body": "Custom Context Managers\n\nContext Manager Classes\n\nComprehensions and Generators\n\nList Comprehensions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "c967f2d40877aa1465febb54c2237ba4e5a4a5077c7889142a86dadaf9376c03", "alias_sources": []}
{"id": "0195305dcffc680a", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Workflow Patterns", "Pattern 5: Code Review Pipeline"], "section_title": "Pattern 5: Code Review Pipeline", "section_body": "Pattern 4: Cross-Harness\n\nUse different AI tools for different tasks:\n\nPattern 5: Code Review Pipeline\n\nParallel review perspectives:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "3d625ccb8a77ebbe473850515ab20837379dafc7780f69a7de5ccb6182fb4ce3", "alias_sources": []}
{"id": "01c832405cc96e81", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Demand Charge Management"], "section_title": "Demand Charge Management", "section_body": "Demand Charge Management\n\nDemand charges are the most controllable cost component for facilities with operational flexibility:\n\n**Peak identification:** Download 15-minute interval data from your utility or meter data management system. Identify the top 10 peak intervals per month. In most facilities, 6\u20138 of the top 10 peaks share a common root cause \u2014 simultaneous startup of multiple large loads (chillers, compressors, production lines) during morning ramp-up between 6:00\u20139:00 AM.\n\n**Load shifting:** Move discretionary loads (batch processes, charging, thermal storage, water heating) to off-peak periods. A 500 kW load shifted from on-peak to off-peak saves $5,000\u2013$12,500/month in demand charges alone, plus energy cost differential.\n\n**Peak shaving with batteries:** Behind-the-meter battery storage can cap peak demand by discharging during the highest-demand 15-minute intervals. A 500 kW / 2 MWh battery system costs $800K\u2013$1.2M installed. At $15/kW demand charge, shaving 500 kW saves $7,500/month ($90K/year). Simple payback: 9\u201313 years \u2014 but stack demand charge savings with TOU energy arbitrage, capacity tag reduction, and demand response program payments, and payback drops to 5\u20137 years.\n\n**Demand response (DR) programs:** Utility and ISO-operated programs pay customers to curtail load during grid stress events. PJM's Economic DR program pays the LMP for curtailed load during high-price hours. ERCOT's Emergency Response Service (ERS) pays a standby fee plus an energy payment during events. DR revenue for a 1 MW curtailment capability: $15K\u2013$80K/year depending on market, program, and number of dispatch events.\n\n**Ratchet clauses:** Many tariffs include a demand ratchet \u2014 your billed demand cannot fall below 60\u201380% of the highest peak demand recorded in the prior 11 months. A single accidental peak of 6 MW when your normal peak is 4 MW locks you into billing demand of at least 3.6\u20134.8 MW for a year. Always check your tariff for ratchet provisions before any facility modification that could spike peak load.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "a9dbc41c4bd1c5a9b0d36ee397a1fcd7c3292c0091c8d64ddabc4d2e01433d66", "alias_sources": []}
{"id": "01d1faf881b865c2", "skill_name": "nanoclaw-repl", "skill_description": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "skill_type": null, "section_path": ["NanoClaw REPL", "Operating Guidance"], "section_title": "Operating Guidance", "section_body": "Operating Guidance\n\nKeep sessions task-focused.\n\nBranch before high-risk changes.\n\nCompact after major milestones.\n\nExport before sharing or archival.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nanoclaw-repl\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "mtime": 1776507629.879874, "body_hash": "7c17447e3a91940905c4b15b6b963f550f84623fc123587aa3260f9200bfa967", "alias_sources": []}
{"id": "01ea3b52f52c35de", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Incoming inspection failure**: A lot of 10,000 molded components fails AQL sampling at Level II. Defect is a dimensional deviation of +0.15mm on a critical-to-function feature. Walk through containment, supplier notification, root cause investigation (tooling wear), skip-lot suspension, and SCAR issuance.\n\n**SPC signal interpretation**: X-bar chart on a filling line shows 9 consecutive points above the center line (Western Electric Rule 2). Process is still within specification limits. Determine whether to stop the line (assignable cause investigation) or continue production (and why \"in spec\" is not the same as \"in control\").\n\n**Customer complaint CAPA**: Automotive OEM customer reports 3 field failures in 500 units, all with the same failure mode. Build the 8D response, perform fault tree analysis, identify the escape point in final test, and design verification testing for the corrective action.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "d72b371dc2ed5e0794f940945347aa827f41c3a858399c3f9d731e9c5e65c2c5", "alias_sources": []}
{"id": "01ed2da1226810f5", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Service Container Bindings"], "section_title": "Service Container Bindings", "section_body": "Service Container Bindings\n\nBind interfaces to implementations in a service provider for clear dependency wiring.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "5e253dd9efcf29903da8639ce4a3c24aa19966f3521bc00304fa4eb0475bfea1", "alias_sources": []}
{"id": "0202603be05228b6", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement", "Report Contents"], "section_title": "Report Contents", "section_body": "Report Contents\n\nReports are self-contained and include:\n\nExpected behavioral sequence (auto-generated spec)\n\nScenario prompts (what was asked at each strictness level)\n\nCompliance scores per scenario\n\nTool call timelines with LLM classification labels", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "458e9f950d6bcb449e7b19af1f4e8ff3dd688e594acc970ca8dbd1a59884b408", "alias_sources": []}
{"id": "02056acfbc4bab30", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Decision Frameworks", "Job Priority Sequencing"], "section_title": "Job Priority Sequencing", "section_body": "Decision Frameworks\n\nJob Priority Sequencing\n\nWhen multiple jobs compete for the same resource, apply this decision tree:\n\n**Is any job past-due or will miss its due date without immediate processing?** \u2192 Schedule past-due jobs first, ordered by customer penalty exposure (contractual penalties > reputational damage > internal KPI impact).\n\n**Are any jobs feeding the constraint and the constraint buffer is in yellow or red zone?** \u2192 Schedule constraint-feeding jobs next to prevent constraint starvation.\n\n**Among remaining jobs, apply the dispatching rule appropriate to the product mix:**\n\nHigh-variety, short-run: use **Earliest Due Date (EDD)** to minimize maximum lateness.\n\nLong-run, few products: use **Shortest Processing Time (SPT)** to minimize average flow time and WIP.\n\nMixed, with sequence-dependent setups: use **setup-aware EDD** \u2014 EDD with a setup-time lookahead that swaps adjacent jobs when a swap saves >30 minutes of setup without causing a due date miss.\n\n**Tie-breaker:** Higher customer tier wins. If same tier, higher margin job wins.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "78dae7474e92534920a8eefff15d0c87df2193ee1bd3d9b30fbefc7081b158c2", "alias_sources": []}
{"id": "020c66c90b695690", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security"], "section_title": "DeFi AMM Security", "section_body": "DeFi AMM Security\n\nCritical vulnerability patterns and hardened implementations for Solidity AMM contracts, LP vaults, and swap functions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "23c5a29f392af55fcb7d19f828441ce261b3a3fac95433e0c50d82dfb5e98af5", "alias_sources": []}
{"id": "020fa63b92a65550", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Concurrency Patterns", "Context for Cancellation and Timeouts"], "section_title": "Context for Cancellation and Timeouts", "section_body": "Never Ignore Errors\n\nConcurrency Patterns\n\nWorker Pool\n\nContext for Cancellation and Timeouts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "15a6b82744397df875f206e3c8e714f4a40c7bbb77333a6977f0c2eaed88ae98", "alias_sources": []}
{"id": "02526393372705e4", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n**Div-Buttons**: Using a `<div>` or `<span>` for a click event without adding a role and keyboard support.\n\n**Color-Only Meaning**: Indicating an error or status _only_ with a color change (e.g., turning a border red).\n\n**Uncontained Modal Focus**: Modals that don't trap focus, allowing keyboard users to navigate background content while the modal is open. Focus must be contained _and_ escapable via the `Escape` key or an explicit close button (WCAG SC 2.1.2).\n\n**Redundant Alt Text**: Using \"Image of...\" or \"Picture of...\" in alt text (screen readers already announce the role \"Image\").", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "8488f67376e52f7b98d94a778634919c47066e8044b2e1d18129bc62eae4a2ea", "alias_sources": []}
{"id": "025582b21d11cbbf", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Exception Filters and Error Shape"], "section_title": "Exception Filters and Error Shape", "section_body": "Exception Filters and Error Shape\n\nKeep one consistent error envelope across the API.\n\nThrow framework exceptions for expected client errors; log and wrap unexpected failures centrally.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "395277f594e09743de8571b5698b746785d3d62a59227ac9788dff463b88a6b1", "alias_sources": []}
{"id": "027c537a7d57b266", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Rules"], "section_title": "Rules", "section_body": "Rules\n\nAlways expand `~` as `$HOME` in Bash calls.\n\nCommands are case-insensitive: `/CK:SAVE`, `/ck:save`, `/Ck:Save` all work.\n\nIf a script exits with code 1, display its stdout as an error message.\n\nNever edit `context.json` or `CONTEXT.md` directly \u2014 always use the scripts.\n\nIf `projects.json` is malformed, tell the user and offer to reset it to `{}`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "e2ff76dd28bf2443bd3745dd69c47d2124a20edf492e284feede3972aea21346", "alias_sources": []}
{"id": "0284af724e8e172a", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Error Handling", "Use `Result` and `?` \u2014 Never `unwrap()` in Production"], "section_title": "Use `Result` and `?` \u2014 Never `unwrap()` in Production", "section_body": "Use `Cow` for Flexible Ownership\n\nError Handling\n\nUse `Result` and `?` \u2014 Never `unwrap()` in Production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "2142d76ad8c7e4c87ea0f7fef6ef01bd5efbe089c1dd26ee4dda40972ca95acd", "alias_sources": []}
{"id": "0290fbbc7c195800", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Issue Triage", "Triage Workflow"], "section_title": "Triage Workflow", "section_body": "Triage Workflow\n\nRead the issue title, body, and comments\n\nCheck if it duplicates an existing issue (search by keywords)\n\nApply appropriate labels via `gh issue edit --add-label`\n\nFor questions: draft and post a helpful response\n\nFor bugs needing more info: ask for reproduction steps\n\nFor good first issues: add `good-first-issue` label\n\nFor duplicates: comment with link to original, add `duplicate` label", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "de67494ac07a879b7360c6c776acf6bc25a58ea879c0ee19593dc7e3cbae7ac3", "alias_sources": []}
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{"id": "02960028cf32f54f", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "DO / DON'T"], "section_title": "DO / DON'T", "section_body": "DO / DON'T\n\n**DO:**\n\nWrite tests immediately after finding a bug (before fixing it if possible)\n\nTest the API response shape, not the implementation\n\nRun tests as the first step of every bug-check\n\nKeep tests fast (< 1 second total with sandbox mode)\n\nName tests after the bug they prevent (e.g., \"BUG-R1 regression\")\n\n**DON'T:**\n\nWrite tests for code that has never had a bug\n\nTrust AI self-review as a substitute for automated tests\n\nSkip sandbox path testing because \"it's just mock data\"\n\nWrite integration tests when unit tests suffice\n\nAim for coverage percentage \u2014 aim for regression prevention", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "efe58f47afdb1dfbfdb408b056909c1ec759e07d2ddef1387605eb201125bb1f", "alias_sources": []}
{"id": "02a04b38cd1e6e04", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Environment Configuration"], "section_title": "Environment Configuration", "section_body": "Health Checks\n\nHealth Check Endpoint\n\nKubernetes Probes\n\nEnvironment Configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "84cd17c496674738acf33cfc0dbe6a8aee2c6da2211138fdde998fb84b43cee7", "alias_sources": []}
{"id": "02e1c925f8c7794c", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Dependency Security"], "section_title": "Dependency Security", "section_body": "Dependency Security\n\nRun OWASP Dependency Check / Snyk in CI\n\nKeep Spring Boot and Spring Security on supported versions\n\nFail builds on known CVEs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "d099ed1037e4a86238009b5ecaaa11ee9ca7513191e5a1acfde68b63c02ea8cb", "alias_sources": []}
{"id": "02fcf746c6561238", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "Official SDKs and Docs"], "section_title": "Official SDKs and Docs", "section_body": "Official SDKs and Docs\n\n**JavaScript/TypeScript**: `@modelcontextprotocol/sdk` (npm). Use Context7 with library name \"MCP\" for current registration and transport patterns.\n\n**Go**: Official Go SDK on GitHub (`modelcontextprotocol/go-sdk`).\n\n**C#**: Official C# SDK for .NET.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "86c3b4c5625a1c5b27dc29d2599b9ad1cfdf3d256427b79749f753a44ab0196a", "alias_sources": []}
{"id": "02fda11f99bdaa1f", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Error and Panic Testing", "Testing `Result` Returns"], "section_title": "Testing `Result` Returns", "section_body": "Module-Level Test Organization\n\nAssertion Macros\n\nError and Panic Testing\n\nTesting `Result` Returns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "0041afc554ab5652d1cf11ae365160b7573841f1450ac335073bd85d330b4c48", "alias_sources": []}
{"id": "0321a27a73f0b60a", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "1. Null Safety Fundamentals", "Avoid `late` Overuse"], "section_title": "Avoid `late` Overuse", "section_body": "1. Null Safety Fundamentals\n\nPrefer Patterns Over Bang Operator\n\nAvoid `late` Overuse", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "037c4498794f5f1d68732abafb88c35b6664ce59c699ad7280f04ec1cb55ef29", "alias_sources": []}
{"id": "03507a3b6b36b8e1", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u524d\u7f6e\u6761\u4ef6"], "section_title": "\u524d\u7f6e\u6761\u4ef6", "section_body": "\u524d\u7f6e\u6761\u4ef6\n\n**\u5fc5\u9700**\uff1a`python3`\uff08\u8fd0\u884c\u62bd\u5361\u5f15\u64ce gacha.py\uff09\n\n**\u53ef\u9009**\uff1a\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff08\u81ea\u52a8\u751f\u6210\u5934\u50cf\u56fe\u7247\uff0c\u672a\u5b89\u88c5\u5219\u8f93\u51fa\u63d0\u793a\u8bcd\u6587\u672c\uff09", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "4216426cbaa0c620530e822709437985fece59524bd49cec2c29038b48fe7ae1", "alias_sources": []}
{"id": "03564c2b9cfff275", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "9. Blockchain Security (Solana)"], "section_title": "9. Blockchain Security (Solana)", "section_body": "9. Blockchain Security (Solana)\n\nWallet Verification\n\nWallet Verification\n\nTransaction Verification\n\nTransaction Verification\n\nVerification Steps\n\nVerification Steps\n\n[ ] Wallet signatures verified\n\n[ ] Transaction details validated\n\n[ ] Balance checks before transactions\n\n[ ] No blind transaction signing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "a7563a97eac82ac0c4de9e21bc67bfc4163197fd552c59806627c06fdf5b58d4", "alias_sources": []}
{"id": "035b6df462278aeb", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Single-Page Encounter Flow"], "section_title": "Single-Page Encounter Flow", "section_body": "Single-Page Encounter Flow\n\nClinical encounters should flow vertically on a single page \u2014 no tab switching:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "6572fb20a9422f54c796842b126508451db1a818bf9420c21537e70130dca210", "alias_sources": []}
{"id": "03671139dd03f686", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Platform Rules", "X"], "section_title": "X", "section_body": "Platform Rules\n\nX\n\nmutuals are stickier than one-way follows\n\nnon-follow-backs can be pruned more aggressively\n\nheavily inactive or disappeared accounts should surface quickly\n\nengagement, signal quality, and bridge value matter more than raw follower count", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "d5075291bd629ea141f2e25405ef04d3e1ffc83602486bc1dec71415a5e5569a", "alias_sources": []}
{"id": "037a9c5a753e4429", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Platform Rules", "LinkedIn"], "section_title": "LinkedIn", "section_body": "LinkedIn\n\nAPI-first if the user actually has LinkedIn API access\n\nbrowser workflow must work when API access is missing\n\ndistinguish outbound follows from accepted 1st-degree connections\n\noutbound follows can be pruned more freely\n\naccepted 1st-degree connections should default to review, not auto-remove", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "dec3a181b2a683aa351b2ad908673bd5492b7da8646bb4490da6e6e6a7376a7b", "alias_sources": []}
{"id": "03a841cd6a653558", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Decision Frameworks", "Fraud Scoring Model"], "section_title": "Fraud Scoring Model", "section_body": "Fraud Scoring Model\n\nScore each return 0-100. Flag for review at 65+, hold refund at 80+:\n\n| Signal | Points | Notes |\n|---|---|---|\n| Return rate > 30% (rolling 12 mo) | +15 | Adjusted for category norms |\n| Item returned within 48 hours of delivery | +5 | Could be legitimate bracket shopping |\n| High-value electronics, serial number mismatch | +40 | Near-certain swap fraud |\n| Return reason changed between initiation and receipt | +10 | Inconsistency flag |\n| Multiple returns same week | +10 | Cumulative with rate signal |\n| Return from address different from shipping address | +10 | Gift returns excluded |\n| Product weight differs > 5% from expected | +25 | Swap or missing components |\n| Customer account < 30 days old | +10 | New account risk |\n| No-receipt return | +15 | Higher risk of receipt fraud |\n| Item in category with high shrink rate | +5 | Electronics, cosmetics, designer apparel |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "e19aa8d78ba5811bf669a538f79f7842bdf8259b0c3cda1c588c2f7aced4cb10", "alias_sources": []}
{"id": "03d30a832812051c", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "Rate Negotiation Fundamentals"], "section_title": "Rate Negotiation Fundamentals", "section_body": "Core Knowledge\n\nRate Negotiation Fundamentals\n\nEvery freight rate has components that must be negotiated independently \u2014 bundling them obscures where you're overpaying:\n\n**Base linehaul rate:** The per-mile or flat rate for dock-to-dock transportation. For truckload, benchmark against DAT or Greenscreens lane rates. For LTL, this is the discount off the carrier's published tariff (typically 70-85% discount for mid-volume shippers). Always negotiate on a lane-by-lane basis \u2014 a carrier competitive on Chicago\u2013Dallas may be 15% over market on Atlanta\u2013LA.\n\n**Fuel surcharge (FSC):** Percentage or per-mile adder tied to the DOE national average diesel price. Negotiate the FSC table, not just the current rate. Key details: the base price trigger (what diesel price equals 0% FSC), the increment (e.g., $0.01/mile per $0.05 diesel increase), and the index lag (weekly vs. monthly adjustment). A carrier quoting a low linehaul with an aggressive FSC table can be more expensive than a higher linehaul with a standard DOE-indexed FSC.\n\n**Accessorial charges:** Detention ($50-$100/hr after 2 hours free time is standard), liftgate ($75-$150), residential delivery ($75-$125), inside delivery ($100+), limited access ($50-$100), appointment scheduling ($0-$50). Negotiate free time for detention aggressively \u2014 driver detention is the #1 source of carrier invoice disputes. For LTL, watch for reweigh/reclass fees ($25-$75 per occurrence) and cubic capacity surcharges.\n\n**Minimum charges:** Every carrier has a minimum per-shipment charge. For truckload, it's typically a minimum mileage (e.g., $800 for loads under 200 miles). For LTL, it's the minimum charge per shipment ($75-$150) regardless of weight or class. Negotiate minimums on short-haul lanes separately.\n\n**Contract vs. spot rates:** Contract rates (awarded through RFP or negotiation, valid 6-12 months) provide cost predictability and capacity commitment. Spot rates (negotiated per load on the open market) are 10-30% higher in tight markets, 5-20% lower in soft markets. A healthy portfolio uses 75-85% contract freight and 15-25% spot. More than 30% spot means your routing guide is failing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "91abbf39f47f462a45a6b4889cda0438bd0f440e5680b96f1498f73fd80a4602", "alias_sources": []}
{"id": "03e148b9ab3c05b2", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 3: Deterministic Cuts (FFmpeg)"], "section_title": "Layer 3: Deterministic Cuts (FFmpeg)", "section_body": "Layer 3: Deterministic Cuts (FFmpeg)\n\nFFmpeg handles the boring but critical work: splitting, trimming, concatenating, and preprocessing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "d614e38b9c12d67ef862b503555d09852edd4ff51d5cd430fab122f207905d5b", "alias_sources": []}
{"id": "04239008251ea7cc", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Non-Negotiables"], "section_title": "Non-Negotiables", "section_body": "Non-Negotiables\n\nStart from source material, not generic post formulas.\n\nAdapt the format for the platform, not the persona.\n\nOne post should carry one actual claim.\n\nSpecificity beats adjectives.\n\nNo engagement bait unless the user explicitly asks for it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "1c939ddd1d268bc1d3fac1fa9a4f946066c5fc280a6358845673a464cc8caa38", "alias_sources": []}
{"id": "042824fdadd01b65", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Production Scheduler) \u2192 Level 2 (Production Manager / Shift Superintendent, 30 min for constraint issues, 4 hours for non-constraint) \u2192 Level 3 (Plant Manager, 2 hours for customer-impacting issues) \u2192 Level 4 (VP Operations, same day for multi-customer impact or safety-related schedule changes)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "005d4770238ccc69ead9d969a57adad53bc9b3421366a68d975f86525a9c64d5", "alias_sources": []}
{"id": "0431f81001532718", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Related"], "section_title": "Related", "section_body": "Related\n\n[ECC-Tools GitHub App](https://github.com/apps/ecc-tools) - Generate instincts from repo history\n\nHomunculus - Community project that inspired the v2 instinct-based architecture (atomic observations, confidence scoring, instinct evolution pipeline)\n\n[The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Continuous learning section\n\n*Instinct-based learning: teaching Claude your patterns, one project at a time.*", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "b64d78f6aadd1dba0f6454906d688a4e4ee8eca136182797fa1afca42a17c6bd", "alias_sources": []}
{"id": "04897c00fca8fcfb", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore completing any knowledge operation:\n\nno duplicate entries created\n\nsensitive data redacted from any Git-tracked files\n\nindexes and summaries updated\n\nappropriate storage layer chosen for the data type\n\ncross-references added where relevant", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "323474a91bc38dd5d26fefd57fbb772bc0f1ec02c727b9c254e06f7d0926102a", "alias_sources": []}
{"id": "04c0863c7c3fc44a", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Workflow", "2. Inspect before editing"], "section_title": "2. Inspect before editing", "section_body": "2. Inspect before editing\n\nBefore making changes:\n\nsummarize current structure\n\nidentify tabs, headings, or slide count\n\ndetect whether the task is local cleanup or structural surgery\n\nPick the smallest tool that can safely perform the work.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "936e58fb34fce43ea3c1edefaa2da9c29672d9b48f09bac90092a470a8297a4a", "alias_sources": []}
{"id": "04cb7918e4c91e14", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice"], "section_title": "Brand Voice", "section_body": "Brand Voice\n\nBuild a durable voice profile from real source material, then use that profile everywhere instead of re-deriving style from scratch or defaulting to generic AI copy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "687f36b5616a802462a7f50089111850668ddedeb0bcffe2505b82e8f1d14a8c", "alias_sources": []}
{"id": "0535afa28dbe90c8", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "12. Error Handling", "Framework error handling:"], "section_title": "Framework error handling:", "section_body": "12. Error Handling\n\nFramework error handling:\n\n[ ] `FlutterError.onError` overridden to capture framework errors (build, layout, paint)\n\n[ ] `PlatformDispatcher.instance.onError` set for async errors not caught by Flutter\n\n[ ] `ErrorWidget.builder` customized for release mode (user-friendly instead of red screen)\n\n[ ] Global error capture wrapper around `runApp` (e.g., `runZonedGuarded`, Sentry/Crashlytics wrapper)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review", "phase:deploy"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a2731773b28ec621855f6f8dc64f2f79fb6ce07c28f4e35bea8411d5df58c7ef", "alias_sources": []}
{"id": "0536a08089808c85", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Caching"], "section_title": "Caching", "section_body": "Caching\n\nCache read-heavy endpoints and expensive queries\n\nInvalidate caches on model events (created/updated/deleted)\n\nUse tags when caching related data for easy invalidation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "457c62f15a04d6914ae0b59b1d9cd701f0289672ac90bf872078f41f65a54173", "alias_sources": []}
{"id": "055613434c150039", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nQuiz/exam question parsing\n\nForm data extraction\n\nInvoice/receipt processing\n\nDocument structure parsing (headers, sections, tables)\n\nAny structured text with repeating patterns where cost matters", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "b0ba0c58b7203eea4ed3ef60854b88f5ee6f741f59ee0e057752612ceca61c91", "alias_sources": []}
{"id": "057530a025f9d7cc", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Search Shortcuts by Category", "AI/LLM Integration"], "section_title": "AI/LLM Integration", "section_body": "AI/LLM Integration\n\nClaude SDK \u2192 Context7 for latest docs\n\nPrompt management \u2192 Check MCP servers\n\nDocument processing \u2192 `unstructured`, `pdfplumber`, `mammoth`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:docs"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "3922a374313466baf62f20d9268cb18cda29fa602c32d280afd71b2dc2040122", "alias_sources": []}
{"id": "05906b75c6b17d4b", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Local vs global state:"], "section_title": "Local vs global state:", "section_body": "Local vs global state:\n\n[ ] Ephemeral UI state (checkbox, slider, animation) uses local state (`setState`, `ValueNotifier`)\n\n[ ] Shared state is lifted only as high as needed \u2014 not over-globalized\n\n[ ] Feature-scoped state is properly disposed when the feature is no longer active", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "fad6d950e4beffc52607ac8ec959152af666a339fa82d5087e887f2bab2f4ded", "alias_sources": []}
{"id": "060903fb40d14e65", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Authorization: Policies and Gates"], "section_title": "Authorization: Policies and Gates", "section_body": "Authorization: Policies and Gates\n\nUse policies for model-level authorization\n\nEnforce authorization in controllers and services\n\nUse policy middleware for route-level enforcement:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "c28944df6d5612f815ae2c38c3a903a8bd76f9f0884263255dc3e6c6f61328e2", "alias_sources": []}
{"id": "0615a29153f92548", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Workflow", "4. End with a decision and product gap"], "section_title": "4. End with a decision and product gap", "section_body": "4. End with a decision and product gap\n\nReport:\n\nsales snapshot\n\nissue diagnosis\n\nproduct truth\n\nrecommended operator action\n\nproduct or backlog gap", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "5b3abda64677c423a47c723777e84995600648b1b908aa03edb2d32f20a4bc98", "alias_sources": []}
{"id": "062c493368996776", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "Rules"], "section_title": "Rules", "section_body": "Rules\n\nAlways query `decimals()` at runtime\n\nCache by chain plus token address, not symbol\n\nUse `Decimal`, `BigInt`, or equivalent exact math, not float\n\nRe-query decimals after bridging or wrapper changes\n\nNormalize internal accounting consistently before comparison or pricing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "d9eadab9d9c409f540e840ff0310aaf3170a03b34c0e42c3dfa1ba0106758b74", "alias_sources": []}
{"id": "06524109a6274b48", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`customer-billing-ops` for customer-specific remediation and follow-up\n\n`research-ops` when competitor pricing or current market evidence matters\n\n`market-research` when the answer should end in a pricing recommendation\n\n`github-ops` when the billing truth depends on code, backlog, or release state in sibling repos\n\n`verification-loop` when the answer depends on proving checkout, seat handling, or entitlement behavior", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "50ba0e7d1f90e2056480ee852a017ee7ea2d5f1072175e99851ee3434b5c6827", "alias_sources": []}
{"id": "0670321300c68857", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Workflow", "3. Read and verify anchors"], "section_title": "3. Read and verify anchors", "section_body": "3. Read and verify anchors\n\nEvery file path and line anchor must be real:\n\nconfirm the file exists\n\nconfirm the line numbers are in range\n\nif using a selection, verify the exact block\n\nif the file is volatile, prefer a pattern-based anchor\n\nNever guess line numbers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "e8bbf40287eb45b3c21ced1633651dc91b8d52e6bf96bb84f01bd13ca03b6888", "alias_sources": []}
{"id": "067dbb692d6979dc", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Common outputs"], "section_title": "Common outputs", "section_body": "Common outputs\n\n**Stream URL**\n\nSearch results with **timestamps** and **evidence links**\n\nGenerated assets: subtitles, audio, images, clips\n\n**Event/alert payloads** for live streams\n\nDesktop **session summaries** and memory entries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "5b9c7abfd4e8d2c2a59ef276024615bae7df52bfea0d18749de5f7e7b691f811", "alias_sources": []}
{"id": "067e8746edffd7e5", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "Tips"], "section_title": "Tips", "section_body": "Tips\n\nUse `web_search_exa` for current information, company lookups, and broad discovery\n\nUse search operators like `site:`, quoted phrases, and `intitle:` to narrow results\n\nLower `tokensNum` (1000-2000) for focused code snippets, higher (5000+) for comprehensive context\n\nUse `get_code_context_exa` when you need API usage or code examples rather than general web pages", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "42f4fbe8061dcc20d42e5abdc734d8e61c884593834dbff11152f6244f8fae69", "alias_sources": []}
{"id": "0689111cd14f9501", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Tool Requirements"], "section_title": "Tool Requirements", "section_body": "Tool Requirements\n\n**gh CLI** for all GitHub API operations\n\nRepository access configured via `gh auth login`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "0b44490793a7a6453dd7c6c5946154ee6cb788f1eb5b0b9810b664e5cf032766", "alias_sources": []}
{"id": "068cbfca5dc74dd0", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 1: Active execution truth"], "section_title": "Layer 1: Active execution truth", "section_body": "Knowledge Architecture\n\nLayer 1: Active execution truth\n\n**Sources:** GitHub issues, PRs, discussions, release notes, Linear issues/projects/docs\n\n**Use for:** the current operational state of the work\n\n**Rule:** if something affects an active engineering plan, roadmap, rollout, or release, prefer putting it here first", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:deploy", "phase:docs"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "fd901ca960a946f146d0e0285a13e3f48c9bcefaee1a40bcb6493df2d88361b6", "alias_sources": []}
{"id": "06b57706e3c63f02", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "Authentication"], "section_title": "Authentication", "section_body": "kotlinx.serialization Setup\n\nSerializable Models\n\nCustom Serializers\n\nAuthentication", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "c6db9eba2ea0978c2654df12188d1f3b045690d7635dc5ceec679dfe2d82c816", "alias_sources": []}
{"id": "06c87bda4cdebcd7", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up Git workflow for a new project\n\nDeciding on branching strategy (GitFlow, trunk-based, GitHub flow)\n\nWriting commit messages and PR descriptions\n\nResolving merge conflicts\n\nManaging releases and version tags\n\nOnboarding new team members to Git practices", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "699b006935fbe87276ecf5983cd26b7d43052b8b5555370e112d2342f8c93e54", "alias_sources": []}
{"id": "06e22bde752dbb41", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nPresent your analysis in this exact structure. Respond in the same language\nas the user's input.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "72c3d99bf4407c47acdd21b3b46847d99086876349243a665e634f7792216843", "alias_sources": []}
{"id": "06e77e0d356d1ca5", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Be specific**: Use the user's full question as the query where possible for better relevance.\n\n**Version awareness**: When users mention versions, use version-specific library IDs from the resolve step when available.\n\n**Prefer official sources**: When multiple matches exist, prefer official or primary packages over community forks.\n\n**No sensitive data**: Redact API keys, passwords, tokens, and other secrets from any query sent to Context7. Treat the user's question as potentially containing secrets before passing it to resolve-library-id or query-docs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "87d906682c19438689a5aafde8e21925b5b6176c3b3259d40c04c83c06fbdf8a", "alias_sources": []}
{"id": "075876e882bbd3b5", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Architecture Pattern Guidance"], "section_title": "Architecture Pattern Guidance", "section_body": "Architecture Pattern Guidance\n\nReAct: best for exploratory tasks with uncertain path.\n\nFunction-calling: best for structured deterministic flows.\n\nHybrid (recommended): ReAct planning + typed tool execution.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "52187a54c25d07b3a23bd4331929d95d983e250da69a36191a8b1f5c77d90668", "alias_sources": []}
{"id": "07715f03d1366a82", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow"], "section_title": "Test-Driven Development Workflow", "section_body": "Test-Driven Development Workflow\n\nThis skill ensures all code development follows TDD principles with comprehensive test coverage.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "aa6ebd51c52679103d9a43a9dc5918944378be89cd9cd110119be5b2651069f2", "alias_sources": []}
{"id": "07a30fd17f3eaf11", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "What Survives Compaction"], "section_title": "What Survives Compaction", "section_body": "What Survives Compaction\n\nUnderstanding what persists helps you compact with confidence:\n\n| Persists | Lost |\n|----------|------|\n| CLAUDE.md instructions | Intermediate reasoning and analysis |\n| TodoWrite task list | File contents you previously read |\n| Memory files (`~/.claude/memory/`) | Multi-step conversation context |\n| Git state (commits, branches) | Tool call history and counts |\n| Files on disk | Nuanced user preferences stated verbally |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "47f7b89397fe5d8e6beffdb9190dcd334ed8e5b1b22392556766743ee3975652", "alias_sources": []}
{"id": "07a582366c969a14", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Configuration", "Evaluation Modes"], "section_title": "Evaluation Modes", "section_body": "Evaluation Modes\n\n| Mode | Tools | Best For |\n|------|-------|----------|\n| `playwright` | Browser MCP + live interaction | Full-stack apps with UI |\n| `screenshot` | Screenshot + visual analysis | Static sites, design-only |\n| `code-only` | Tests + linting + build | APIs, libraries, CLI tools |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:build"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "ec83f6c3ea04f7215febe6bd59fcf0dd884e6bbd3d99126ad7d021aadf85ade8", "alias_sources": []}
{"id": "07fbe2ae8884c9e3", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 4: Post-Installation Verification", "4d: Report Issues"], "section_title": "4d: Report Issues", "section_body": "4d: Report Issues\n\nFor each issue found, report:\n\n**File**: The file containing the problematic reference\n\n**Line**: The line number\n\n**Issue**: What's wrong (e.g., \"references ~/.claude/skills/python-patterns but python-patterns was not installed\")\n\n**Suggested fix**: What to do (e.g., \"install python-patterns skill\" or \"update path to .claude/skills/\")", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:debug"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "d3fb5bef7748669377eb4a5c89d377ec5541e52351f042d576b401e7674fdb4f", "alias_sources": []}
{"id": "07fcfbcf921f0f80", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Non-Negotiables"], "section_title": "Non-Negotiables", "section_body": "Non-Negotiables\n\n**Zero dependencies**: default to one self-contained HTML file with inline CSS and JS.\n\n**Viewport fit is mandatory**: every slide must fit inside one viewport with no internal scrolling.\n\n**Show, don't tell**: use visual previews instead of abstract style questionnaires.\n\n**Distinctive design**: avoid generic purple-gradient, Inter-on-white, template-looking decks.\n\n**Production quality**: keep code commented, accessible, responsive, and performant.\n\nBefore generating, read `STYLE_PRESETS.md` for the viewport-safe CSS base, density limits, preset catalog, and CSS gotchas.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "a8f5d7ebc2dc670d373c9e27bfbcc8d33a7d9e250ebe4d36708ed3d873cfad42", "alias_sources": []}
{"id": "0821cf7ad0237d65", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations"], "section_title": "Knowledge Operations", "section_body": "Knowledge Operations\n\nManage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across multiple stores.\n\nPrefer the live workspace model:\n\ncode work lives in the real cloned repos\n\nactive execution context lives in GitHub, Linear, and repo-local working-context files\n\nbroader human-facing notes can live in a non-repo context/archive folder\n\ndurable cross-machine memory belongs in the knowledge base, not in a shadow repo workspace", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "78c5ff56dfe51715895feb246c634d75752925252174c7e0c1fd5fbd97a0708f", "alias_sources": []}
{"id": "083d90609b703149", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Execution Steps", "Step 2: Audit Each Touchpoint"], "section_title": "Step 2: Audit Each Touchpoint", "section_body": "Step 2: Audit Each Touchpoint\n\nFor each button/toggle/form submit in the target area:\n\n**Check each of these bug patterns:**\n\nPattern 1: Sequential Undo\n\nPattern 1: Sequential Undo\n\nPattern 2: Async Race\n\nPattern 2: Async Race\n\nPattern 3: Stale Closure\n\nPattern 3: Stale Closure\n\nPattern 4: Missing State Transition\n\nPattern 4: Missing State Transition\n\nPattern 5: Conditional Dead Path\n\nPattern 5: Conditional Dead Path\n\nPattern 6: useEffect Interference\n\nPattern 6: useEffect Interference", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "f127a23e1b3a2556d4a3ea6fbff935c95d2575545b7d4e2b4ea2a20f1ddfd5d1", "alias_sources": []}
{"id": "083e006cf776d170", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Personalization Sources"], "section_title": "Personalization Sources", "section_body": "Personalization Sources\n\nReference one or more of:\n\nrelevant portfolio companies\n\na public thesis, talk, post, or article\n\na mutual connection\n\na clear market or product fit with the investor's focus\n\nIf that context is missing, state that the draft still needs personalization instead of pretending it is finished.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "cc58aab1bb9e84152e2a1c323b8bb4cee0a1699ffb48236a59f8470f0a79fa00", "alias_sources": []}
{"id": "0858adde57a0eb09", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill", "How It Works", "Phase 3: User Review & Execution"], "section_title": "Phase 3: User Review & Execution", "section_body": "Phase 3: User Review & Execution\n\nSummary Table\n\nSummary Table\n\nUser Actions\n\nUser Actions\n\nUser responds with numbers to:\n\n**Approve**: Apply draft to rules as-is\n\n**Modify**: Edit draft before applying\n\n**Skip**: Do not apply this candidate\n\n**Never modify rules automatically. Always require user approval.**\n\nSave Results\n\nSave Results\n\nStore results in the skill directory (`results.json`):\n\n**Timestamp format**: `date -u +%Y-%m-%dT%H:%M:%SZ` (UTC, second precision)\n\n**Candidate ID format**: kebab-case derived from the principle (e.g., `llm-output-trust-boundary`)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "9bf5da640e2de6ade251db86fe054bb0c472feabd03a94fa46445da425bb159c", "alias_sources": []}
{"id": "089f8018269aa396", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "Examples", "Example 1: Product request framed as HIPAA"], "section_title": "Example 1: Product request framed as HIPAA", "section_body": "Examples\n\nExample 1: Product request framed as HIPAA\n\nUser request:\n\nAdd AI-generated visit summaries to our clinician dashboard. We serve US clinics and need to stay HIPAA compliant.\n\nResponse pattern:\n\nActivate `hipaa-compliance`\n\nUse `healthcare-phi-compliance` to review PHI movement, logging, storage, and prompt boundaries\n\nVerify whether the summarization provider is covered by a BAA before any PHI is sent\n\nEscalate to `healthcare-reviewer` if the summaries influence clinical decisions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "b4b29ea5cce5e3392c66fd03f860aeec62a7e4ee8fe5f4c736139317a8496f09", "alias_sources": []}
{"id": "08a61cd503cabf61", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "Unit Tests (JUnit 5 + Mockito)"], "section_title": "Unit Tests (JUnit 5 + Mockito)", "section_body": "Unit Tests (JUnit 5 + Mockito)\n\nPatterns:\n\nArrange-Act-Assert\n\nAvoid partial mocks; prefer explicit stubbing\n\nUse `@ParameterizedTest` for variants", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "82a1e80bed54f39b57693afc6a9bcf18b2510cbdf08e9f9ecbfc483c76a9638d", "alias_sources": []}
{"id": "08d9e9b177bc901e", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Performance Optimization", "Memoization"], "section_title": "Memoization", "section_body": "State Management Patterns\n\nContext + Reducer Pattern\n\nPerformance Optimization\n\nMemoization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "2c1b38a8047c19ceb59254814dc60aed86d625084a91193983c1b6028287735e", "alias_sources": []}
{"id": "08eb180618b2f166", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThis skill runs as a **Stop hook** at the end of each session:\n\n**Session Evaluation**: Checks if session has enough messages (default: 10+)\n\n**Pattern Detection**: Identifies extractable patterns from the session\n\n**Skill Extraction**: Saves useful patterns to `~/.claude/skills/learned/`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "3a6e6eef4e89128c78ad7f593da6eac1d90e4df4d138dc0231cc730044fa898c", "alias_sources": []}
{"id": "08f3e52e14dfb8d8", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "Skip These"], "section_title": "Skip These", "section_body": "Skip These\n\nThese are usually low-signal or out of bounty scope unless the program says otherwise:\n\nLocal-only `pickle.loads`, `torch.load`, or equivalent with no remote path\n\n`eval()` or `exec()` in CLI-only tooling\n\n`shell=True` on fully hardcoded commands\n\nMissing security headers by themselves\n\nGeneric rate-limiting complaints without exploit impact\n\nSelf-XSS requiring the victim to paste code manually\n\nCI/CD injection that is not part of the target program scope\n\nDemo, example, or test-only code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "23ddb249cda46151e0eccc6e262f81b28563e67d78cfe12a5384eab361f9368f", "alias_sources": []}
{"id": "08f96299f6de5d49", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with your NCR template, disposition authority matrix, and SPC rule set so investigators use the same definitions every time.\n\nKeep CAPA closure criteria and effectiveness-check evidence requirements beside the workflow before using it in production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "d42f7d4dd9b374b36a8f6dba254d6b1be2146fa9cb2eac8982c563311b9fc997", "alias_sources": []}
{"id": "09079bfef5b07ad1", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Prerequisites", "Option A: MCP Server (Recommended)"], "section_title": "Option A: MCP Server (Recommended)", "section_body": "Prerequisites\n\nOption A: MCP Server (Recommended)\n\nInstall the `mcp-atlassian` MCP server. This exposes Jira tools directly to your AI agent.\n\n**Requirements:**\n\nPython 3.10+\n\n`uvx` (from `uv`), installed via your package manager or the official `uv` installation documentation\n\n**Add to your MCP config** (e.g., `~/.claude.json` \u2192 `mcpServers`):\n\n**Security:** Never hardcode secrets. Prefer setting `JIRA_URL`, `JIRA_EMAIL`, and `JIRA_API_TOKEN` in your system environment (or a secrets manager). Only use the MCP `env` block for local, uncommitted config files.\n\n**To get a Jira API token:**\n\nGo to <https://id.atlassian.com/manage-profile/security/api-tokens>\n\nClick **Create API token**\n\nCopy the token \u2014 store it in your environment, never in source code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:docs"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "ba8eb0269e14b85496ea588f22c4b75d355fc46b9630eb4e7d47423ed762c840", "alias_sources": []}
{"id": "092421b874803cfa", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Video Generation", "Video Parameters"], "section_title": "Video Parameters", "section_body": "Image-to-Video\n\nStart from an existing image:\n\nVideo Parameters\n\n| Param | Type | Options | Notes |\n|-------|------|---------|-------|\n| `prompt` | string | required | Describe the video |\n| `duration` | string | `\"5s\"`, `\"10s\"` | Video length |\n| `aspect_ratio` | string | `\"16:9\"`, `\"9:16\"`, `\"1:1\"` | Frame ratio |\n| `seed` | number | any integer | Reproducibility |\n| `image_url` | string | URL | Source image for image-to-video |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "fda330d1bf140b7971c85256f73cee84ce694902de1976a8afce3d3fe9472bd0", "alias_sources": []}
{"id": "0928b317ddfd7ca3", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding REST APIs with Spring MVC or WebFlux\n\nStructuring controller \u2192 service \u2192 repository layers\n\nConfiguring Spring Data JPA, caching, or async processing\n\nAdding validation, exception handling, or pagination\n\nSetting up profiles for dev/staging/production environments\n\nImplementing event-driven patterns with Spring Events or Kafka", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "ad7279ed90f6c8afd29e48b7eeb5f42a14baee7849a9cc39caf53a9c35822e87", "alias_sources": []}
{"id": "0943ae22e9c57fad", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Mocking with `mockall`"], "section_title": "Mocking with `mockall`", "section_body": "Property-Based Testing with `proptest`\n\nBasic Property Tests\n\nCustom Strategies\n\nMocking with `mockall`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "f3b154fac8209b5175f1172c58312476f5141e0c37c4df66fe40fad520a5bea7", "alias_sources": []}
{"id": "0953eb64844ad2f5", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser asks \"what automations do I have\", \"what is live\", \"what is broken\", or \"what overlaps\"\n\nthe task spans cron jobs, GitHub Actions, local hooks, MCP servers, connectors, wrappers, or app integrations\n\nthe user wants to know what was ported from another agent system and what still needs to be rebuilt inside ECC\n\nthe workspace has accumulated multiple ways to do the same thing and the user wants one canonical lane", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "d73a72f03f44f0e6716695b33800b1b35c93f51d0edfdff7e6f17f87597c1527", "alias_sources": []}
{"id": "0979b98746026953", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Projected stockout on A-item within 7 days | Alert demand planning manager + category merchant | Within 4 hours |\n| Vendor confirms lead time increase > 25% | Notify supply chain director; recalculate all open POs | Within 1 business day |\n| Promotional forecast miss > 40% (over or under) | Post-promo debrief with merchandising and vendor | Within 1 week of promo end |\n| Excess inventory > 26 weeks of supply on any A/B item | Markdown recommendation to merchandising VP | Within 1 week of detection |\n| Forecast bias exceeds \u00b110% for 4 consecutive weeks | Model review and re-parameterization | Within 2 weeks |\n| New product sell-through < 40% of plan after 4 weeks | Assortment review with merchandising | Within 1 week |\n| Service level drops below 90% for any category | Root cause analysis and corrective plan | Within 48 hours |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "071c31a7effe45437b7d6ab38c845fe78d3359d8625be2da17daf56fb709f21f", "alias_sources": []}
{"id": "098ce6aaa0821f76", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Testing"], "section_title": "Testing", "section_body": "Testing\n\nUnit test providers in isolation with mocked dependencies.\n\nAdd request-level tests for guards, validation pipes, and exception filters.\n\nReuse the same global pipes/filters in tests that you use in production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "8c591ab597e794c533640b8ab860243c2c35f99b43b879357a8b532cbd9d73cb", "alias_sources": []}
{"id": "09a687bfde219fc4", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Warm Intro Requests"], "section_title": "Warm Intro Requests", "section_body": "Warm Intro Requests\n\nMake life easy for the connector:\n\nexplain why the intro is a fit\n\ninclude a forwardable blurb\n\nkeep the forwardable blurb under 100 words", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "4327edbb6b1e34fde3d35feb7d2b5e36f105a03579e0271acd0d1152ba565b13", "alias_sources": []}
{"id": "09ae95f4eddee433", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "Lazy Loading and Performance"], "section_title": "Lazy Loading and Performance", "section_body": "Lazy Loading and Performance\n\nNuxt already code-splits pages by route. Keep route boundaries meaningful before micro-optimizing component splits.\n\nUse the `Lazy` prefix to dynamically import non-critical components.\n\nConditionally render lazy components with `v-if` so the chunk is not loaded until the UI actually needs it.\n\nUse lazy hydration for below-the-fold or non-critical interactive UI.\n\nFor custom strategies, use `defineLazyHydrationComponent()` with a visibility or idle strategy.\n\nNuxt lazy hydration works on single-file components. Passing new props to a lazily hydrated component will trigger hydration immediately.\n\nUse `NuxtLink` for internal navigation so Nuxt can prefetch route components and generated payloads.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "b5e228a012158fddf2516659b01a5b399f7b2e4b01a0752b0ca9318d75b3e03b", "alias_sources": []}
{"id": "09ddfa2ca0c5b9c8", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops", "Operational Domains"], "section_title": "Operational Domains", "section_body": "Operational Domains\n\nruntime lifecycle (start, pause, stop, restart)\n\nobservability (logs, metrics, traces)\n\nsafety controls (scopes, permissions, kill switches)\n\nchange management (rollout, rollback, audit)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "5c40e9f8e967e061a3ce804a133ff5f6502ca0d97c5f78720310406e9ac4ca74", "alias_sources": []}
{"id": "09f2ef722c5ac94c", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft", "Execution Pattern"], "section_title": "Execution Pattern", "section_body": "Execution Pattern\n\nFor each target, produce:\n\nthe recommended channel\n\nthe reason that channel is best\n\nthe message draft\n\noptional follow-up draft\n\nif email is the chosen channel and Apple Mail is available, create a draft instead of only returning text\n\nIf browser control is available:\n\nLinkedIn: inspect target profile, recent activity, and mutual context, then draft or prepare the message\n\nX: inspect recent posts or replies, then draft DM or public reply language\n\nIf desktop automation is available:\n\nApple Mail: create draft email with subject, body, and recipient\n\nDo not send messages automatically without explicit user approval.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "067cd18304995e490afd2bf54d79311808e82ed7e00e43b1912c30f418a55c57", "alias_sources": []}
{"id": "0a1c4a7da6d3c741", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Pagination", "When to Use Which"], "section_title": "When to Use Which", "section_body": "When to Use Which\n\n| Use Case | Pagination Type |\n|----------|----------------|\n| Admin dashboards, small datasets (<10K) | Offset |\n| Infinite scroll, feeds, large datasets | Cursor |\n| Public APIs | Cursor (default) with offset (optional) |\n| Search results | Offset (users expect page numbers) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "399ec7859efc133c3b232f50afca3714b54b78d96b5822c0bf7587f1e89c158b", "alias_sources": []}
{"id": "0a1c4edbc677ba55", "skill_name": "visa-doc-translate", "skill_description": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "skill_type": null, "section_path": ["Instructions", "Technical Implementation", "OCR Methods (tried in order)"], "section_title": "OCR Methods (tried in order)", "section_body": "Technical Implementation\n\nOCR Methods (tried in order)\n\n**macOS Vision Framework** (macOS only):\n\n**EasyOCR** (cross-platform):\n\n**Tesseract OCR** (if available):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\visa-doc-translate\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "mtime": 1776507630.1890082, "body_hash": "fe915191766994679eb514a7ddc7e93508262ea49bd84db02eb0e5b564d6f95f", "alias_sources": []}
{"id": "0a391b016efe8bfa", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Decision Frameworks", "Slow-Mover Kill Decision"], "section_title": "Slow-Mover Kill Decision", "section_body": "Slow-Mover Kill Decision\n\nEvaluate quarterly. Flag for discontinuation when ALL of the following are true:\n\nWeeks of supply > 26 at current sell-through rate\n\nLast 13-week sales velocity < 50% of the item's first 13 weeks (lifecycle declining)\n\nNo promotional activity planned in the next 8 weeks\n\nItem is not contractually obligated (planogram commitment, vendor agreement)\n\nReplacement or substitution SKU exists or category can absorb the gap\n\nIf flagged, initiate markdown at 30% off for 4 weeks. If still not moving, escalate to 50% off or liquidation. Set a hard exit date 8 weeks from first markdown. Do not allow slow movers to linger indefinitely in the assortment \u2014 they consume shelf space, warehouse slots, and working capital.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "6e6023cb13f4039f9c535be95a0f748e467e8e85a75a9756c6d5e561b2eca0b2", "alias_sources": []}
{"id": "0a3932b677cfd5db", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Affaan / ECC Defaults"], "section_title": "Affaan / ECC Defaults", "section_body": "Affaan / ECC Defaults\n\nIf the user wants Affaan / ECC voice and live sources are thin, start here unless newer source material overrides it:\n\ndirect, compressed, concrete\n\nspecifics, mechanisms, receipts, and numbers beat adjectives\n\nparentheticals are for qualification, narrowing, or over-clarification\n\ncapitalization is conventional unless there is a real reason to break it\n\nquestions are rare and should not be used as bait\n\ntone can be sharp, blunt, skeptical, or dry\n\ntransitions should feel earned, not smoothed over", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "1e088c7c4b1092b4a675923fec1df117ab57f039ec06d755d422fada87a32f94", "alias_sources": []}
{"id": "0a39ef9efa00d8c4", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Core Thesis"], "section_title": "Core Thesis", "section_body": "Core Thesis\n\nAI video editing is useful when you stop asking it to create the whole video and start using it to compress, structure, and augment real footage. The value is not generation. The value is compression.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "ece0d21804c3d133b82e37a6180969eb9ced57fa28a4bb6bc986eb787427452c", "alias_sources": []}
{"id": "0a4088dace68f30c", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nReceive return request and validate eligibility against return policy (time window, condition, category restrictions)\n\nIssue RMA with prepaid label or drop-off instructions based on item value and return reason\n\nReceive and inspect item at returns center; assign condition grade (A through D)\n\nRoute to optimal disposition channel based on recovery economics (restock margin vs. liquidation vs. scrap cost)\n\nProcess refund or exchange per policy; flag anomalies for fraud review\n\nAggregate vendor-recoverable returns and file RTV claims within contractual windows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "0fd18266a72dbc43357760700e451b177b7dd1f8a309dc5cb060714adaf2fffd", "alias_sources": []}
{"id": "0a6df96d70a75959", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Examples", "Slippage protection"], "section_title": "Slippage protection", "section_body": "Oracle manipulation\n\nSpot prices are flash-loan manipulable. Prefer TWAP.\n\nSlippage protection\n\nEvery swap path needs caller-provided slippage and a deadline.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "6b508f263912937260e49f8c5eb47e28a1f25039c9616640d9511be9c2de51ca", "alias_sources": []}
{"id": "0a6e06a6989002f1", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Decision Frameworks", "Changeover Sequence Optimization"], "section_title": "Changeover Sequence Optimization", "section_body": "Changeover Sequence Optimization\n\n**Build the setup matrix:** For each pair of products (A\u2192B, B\u2192A, A\u2192C, etc.), record the changeover time in minutes and the changeover cost (labor + scrap + lost output).\n\n**Identify mandatory sequence constraints:** Some transitions are prohibited (allergen cross-contamination in food, hazardous material sequencing in chemical). These are hard constraints, not optimizable.\n\n**Apply nearest-neighbour heuristic as baseline:** From the current product, select the next product with the smallest changeover time. This gives a feasible starting sequence.\n\n**Improve with 2-opt swaps:** Swap pairs of adjacent jobs; keep the swap if total changeover time decreases without violating due dates.\n\n**Validate against due dates:** Run the optimized sequence through the schedule. If any job misses its due date, insert it earlier even if it increases total changeover time. Due date compliance trumps changeover optimization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "b7bd8cc21c56c28e0e07297cd569043963eb55db61ffbf75360d25c5294e8a80", "alias_sources": []}
{"id": "0a6fd2c73d0309d5", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 4: Tests + Coverage"], "section_title": "Phase 4: Tests + Coverage", "section_body": "Phase 4: Tests + Coverage\n\nReport:\n\nTotal tests: X passed, Y failed, Z skipped\n\nOverall coverage: XX%\n\nPer-app coverage breakdown\n\nCoverage targets:\n\n| Component | Target |\n|-----------|--------|\n| Models | 90%+ |\n| Serializers | 85%+ |\n| Views | 80%+ |\n| Services | 90%+ |\n| Overall | 80%+ |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "2c97c926c6927d4de26dadd1208c35305d7ae07e26f5936e945599f6d8dffcfa", "alias_sources": []}
{"id": "0aaeea6cade26826", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Core Principles", "3. Depend on Abstractions"], "section_title": "3. Depend on Abstractions", "section_body": "3. Depend on Abstractions\n\nUse interfaces for service boundaries. Register via DI container.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "a736fb377e63c8ad4ce8b44119b7609ba4f92e1dc29702a7ee6a097c6c4ff9e6", "alias_sources": []}
{"id": "0ae291298c3289e0", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Smell Detection", "3. Magic Numbers"], "section_title": "3. Magic Numbers", "section_body": "2. Deep Nesting\n\n3. Magic Numbers\n\n**Remember**: Code quality is not negotiable. Clear, maintainable code enables rapid development and confident refactoring.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "18c3a73418819470d52f103a2347b9ad00ab3c1378de5220722e02427e110048", "alias_sources": []}
{"id": "0ae6d2eecdea0b26", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Workflow", "2. Read the failing surface first"], "section_title": "2. Read the failing surface first", "section_body": "2. Read the failing surface first\n\nBefore changing anything:\n\ninspect the error\n\ninspect the file or test\n\ninspect git state\n\nuse any already-supplied logs or context before re-reading blindly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "1dc11f2c6d2d47fe81c2c8ac606c4d205b6b75db4bc03343c11907d6f1c03092", "alias_sources": []}
{"id": "0af1376b0ed9f71d", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design"], "section_title": "Frontend Design", "section_body": "Frontend Design\n\nUse this when the task is not just \"make it work\" but \"make it look designed.\"\n\nThis skill is for product pages, dashboards, app shells, components, or visual systems that need a clear point of view instead of generic AI-looking UI.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "917d579c68022e314926a64f42c5c1736b43d98f767e4781f43a2c59a0ff07fb", "alias_sources": []}
{"id": "0b52553ffe5be83e", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Persistence Rules"], "section_title": "Persistence Rules", "section_body": "Persistence Rules\n\nReuse the latest confirmed `VOICE PROFILE` across related tasks in the same session.\n\nIf the user asks for a durable artifact, save the profile in the requested workspace location or memory surface.\n\nDo not create repo-tracked files that store personal voice fingerprints unless the user explicitly asks for that.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "c651f8f2b6a4f4b13629eed1b27e98e74c8ceeb19365e110003b9156ee584f6d", "alias_sources": []}
{"id": "0b6b54d0c35e6ef0", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "Sources"], "section_title": "Sources", "section_body": "Sources\n\n[Effective Dart: Style](https://dart.dev/effective-dart/style)\n\n[Effective Dart: Usage](https://dart.dev/effective-dart/usage)\n\n[Effective Dart: Design](https://dart.dev/effective-dart/design)\n\n[Flutter Performance Best Practices](https://docs.flutter.dev/perf/best-practices)\n\n[Flutter Testing Overview](https://docs.flutter.dev/testing/overview)\n\n[Flutter Accessibility](https://docs.flutter.dev/ui/accessibility-and-internationalization/accessibility)\n\n[Flutter Internationalization](https://docs.flutter.dev/ui/accessibility-and-internationalization/internationalization)\n\n[Flutter Navigation and Routing](https://docs.flutter.dev/ui/navigation)\n\n[Flutter Error Handling](https://docs.flutter.dev/testing/errors)\n\n[Flutter State Management Options](https://docs.flutter.dev/data-and-backend/state-mgmt/options)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "f8377dc037bc8c538b781cd0bb22a72d17bf65430990048a9482aadf7cd6b052", "alias_sources": []}
{"id": "0ba2b20a355f8cd6", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns"], "section_title": "NestJS Development Patterns", "section_body": "NestJS Development Patterns\n\nProduction-grade NestJS patterns for modular TypeScript backends.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "7c6a16348b695dced550963ef75008c2c8df3576c6e79954fcc2190c95b5e391", "alias_sources": []}
{"id": "0babe92127c9a864", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Why Stop Hook?"], "section_title": "Why Stop Hook?", "section_body": "Hook Setup\n\nAdd to your `~/.claude/settings.json`:\n\nWhy Stop Hook?\n\n**Lightweight**: Runs once at session end\n\n**Non-blocking**: Doesn't add latency to every message\n\n**Complete context**: Has access to full session transcript", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "2541726c33f0e351d23810089bf0ce8af1405111b37b5272df66df4f3f79a84b", "alias_sources": []}
{"id": "0bacf323ce6e93ad", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Core Knowledge", "Claims Process Fundamentals"], "section_title": "Claims Process Fundamentals", "section_body": "Claims Process Fundamentals\n\n**Carmack Amendment (US domestic surface):** Carrier is liable for actual loss or damage with limited exceptions (act of God, act of public enemy, act of shipper, public authority, inherent vice). Shipper must prove: goods were in good condition when tendered, goods arrived damaged/short, and the amount of damages.\n\n**Filing deadline:** 9 months from delivery date for US domestic (49 USC \u00a7 14706). Miss this and the claim is time-barred regardless of merit.\n\n**Documentation required:** Original BOL (showing clean tender), delivery receipt (showing exception), commercial invoice (proving value), inspection report, photographs, repair estimates or replacement quotes, packaging specifications.\n\n**Carrier response:** Carrier has 30 days to acknowledge, 120 days to pay or decline. If they decline, you have 2 years from the decline date to file suit.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "21560dbb8aa6cb82069a9356477333c92d4c135fba49bedd575ccdf7feb9fb58", "alias_sources": []}
{"id": "0bd1e919608005d2", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Core Concepts"], "section_title": "Core Concepts", "section_body": "Core Concepts\n\n**TDD loop**: red \u2192 green \u2192 refactor (tests first, minimal fix, then cleanups).\n\n**Isolation**: prefer dependency injection and fakes over global state.\n\n**Test layout**: `tests/unit`, `tests/integration`, `tests/testdata`.\n\n**Mocks vs fakes**: mock for interactions, fake for stateful behavior.\n\n**CTest discovery**: use `gtest_discover_tests()` for stable test discovery.\n\n**CI signal**: run subset first, then full suite with `--output-on-failure`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:debug"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "70fe6226257807bb680302df5c8ef152f42a9fa1def87ee7b3cd4c91fc855b6c", "alias_sources": []}
{"id": "0bd7c3f30b675560", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Skill \u76ee\u5f55\u7ea6\u5b9a"], "section_title": "Skill \u76ee\u5f55\u7ea6\u5b9a", "section_body": "Skill \u76ee\u5f55\u7ea6\u5b9a\n\n**Agent Execution**:\n\nDetermine this SKILL.md file's directory path as `SKILL_DIR`\n\nReplace all `${SKILL_DIR}` in this document with the actual path", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "4f21e584540c235690c08a025a77033c12025231e5a70f5b041afd28e4f91422", "alias_sources": []}
{"id": "0c2383b6fad8a53e", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Installation"], "section_title": "Installation", "section_body": "Installation\n\nThis skill ships with Everything Claude Code. No separate installation is needed when ECC is installed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "afe890761b7702252e0186bc47900fff0e44c68bf3d7113502a4a2d81d48f604", "alias_sources": []}
{"id": "0c34eefff1baf2b1", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Penalties and Compliance"], "section_title": "Penalties and Compliance", "section_body": "Penalties and Compliance\n\n**US penalty framework under 19 USC \u00a7 1592:**\n\n**Negligence:** 2\u00d7 unpaid duties or 20% of dutiable value for first violation. Reduced to 1\u00d7 or 10% with mitigation. Most common assessment.\n\n**Gross negligence:** 4\u00d7 unpaid duties or 40% of dutiable value. Harder to mitigate \u2014 requires showing systemic compliance measures.\n\n**Fraud:** Full domestic value of the merchandise. Criminal referral possible. No mitigation without extraordinary cooperation.\n\n**Prior disclosure (19 CFR \u00a7 162.74):** Filing a prior disclosure before CBP initiates an investigation caps penalties at interest on unpaid duties for negligence, 1\u00d7 duties for gross negligence. This is the single most powerful tool in penalty mitigation. Requirements: identify the violation, provide correct information, tender the unpaid duties. Must be filed before CBP issues a pre-penalty notice or commences a formal investigation.\n\n**Record-keeping:** 19 USC \u00a7 1508 requires 5-year retention of all entry records. EU requires 3 years (some member states require 10). Failure to produce records during an audit creates an adverse inference \u2014 CBP can reconstruct value/classification unfavourably.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "83ca3c6c714e2ffebe7eb7f7462924f8c592bb71e85200786bee8b16190ef89f", "alias_sources": []}
{"id": "0c3fcc578f4830ff", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nTaking over a large legacy codebase and need a structural overview\n\nBefore major refactoring \u2014 identify what's core, what's duplicate, what's dead\n\nAuditing third-party dependencies embedded directly in source (not declared in package managers)\n\nPreparing architecture decision records for monorepo reorganization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "3278999f5ed3ac67bad9be8a79c186c7453168fa8ed7d32bc0f2351392cbc9a8", "alias_sources": []}
{"id": "0c482faaa752bfc1", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Branching Strategies", "GitFlow (Complex, Release-Cycle Driven)"], "section_title": "GitFlow (Complex, Release-Cycle Driven)", "section_body": "GitFlow (Complex, Release-Cycle Driven)\n\nBest for scheduled releases and enterprise projects.\n\n**Rules:**\n\n`main` contains production-ready code only\n\n`develop` is the integration branch\n\nFeature branches from `develop`, merge back to `develop`\n\nRelease branches from `develop`, merge to `main` and `develop`\n\nHotfix branches from `main`, merge to both `main` and `develop`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:deploy"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "7a2b889238910de84dfd88828dc6eed8ec9f1db9baa2c3f67e9e5dd036befab5", "alias_sources": []}
{"id": "0c4fbda8883cf87a", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker"], "section_title": "Social Graph Ranker", "section_body": "Social Graph Ranker\n\nCanonical weighted graph-ranking layer for network-aware outreach.\n\nUse this when the user needs to:\n\nrank existing mutuals or connections by intro value\n\nmap warm paths to a target list\n\nmeasure bridge value across first- and second-order connections\n\ndecide which targets deserve warm intros versus direct cold outreach\n\nunderstand the graph math independently from `lead-intelligence` or `connections-optimizer`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "ed160c86589d403f7eb049a1124355406dc700ad67a36fe6e5360b00458ea04f", "alias_sources": []}
{"id": "0c73b30b9ca975d6", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "High-Signal Failure Patterns", "2. Post-enqueue usage reservation"], "section_title": "2. Post-enqueue usage reservation", "section_body": "2. Post-enqueue usage reservation\n\nIf usage is checked at the front door but only incremented in the worker, concurrent requests can all pass the gate and exceed quota.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "7238a297b46f86f86ff3d05b6712ace3424205975071706ad28ddf025f75efa7", "alias_sources": []}
{"id": "0c7d5b44f2f03954", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council"], "section_title": "Council", "section_body": "Council\n\nConvene four advisors for ambiguous decisions:\n\nthe in-context Claude voice\n\na Skeptic subagent\n\na Pragmatist subagent\n\na Critic subagent\n\nThis is for **decision-making under ambiguity**, not code review, implementation planning, or architecture design.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "d6c7ffb0fe3223155add52ce33b38e504e6ff1861a20c5760e5a9a44fc088885", "alias_sources": []}
{"id": "0c8c8ecf55833e17", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Immutability & value equality (for immutable-state solutions: BLoC, Riverpod, Redux):"], "section_title": "Immutability & value equality (for immutable-state solutions: BLoC, Riverpod, Redux):", "section_body": "Immutability & value equality (for immutable-state solutions: BLoC, Riverpod, Redux):\n\n[ ] State objects are immutable \u2014 new instances created via `copyWith()` or constructors, never mutated in-place\n\n[ ] State classes implement `==` and `hashCode` properly (all fields included in comparison)\n\n[ ] Mechanism is consistent across the project \u2014 manual override, `Equatable`, `freezed`, Dart records, or other\n\n[ ] Collections inside state objects are not exposed as raw mutable `List`/`Map`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "4511ef07adfec047def33bfca886f1329f3aa5786a9adbc824fd5e483212ab36", "alias_sources": []}
{"id": "0cea8a032def8f0e", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Status"], "section_title": "Status", "section_body": "Status\n\nThis v1 skill is still supported, but `continuous-learning-v2` is the preferred path for new installs. Keep v1 when you explicitly want the simpler Stop-hook extraction flow or need compatibility with older learned-skill workflows.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "b7689e70ac26a8145a56fac5507c2d8f313e3b64c56554570675b0aeb3249f47", "alias_sources": []}
{"id": "0d2732029df6364b", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Mocking External Services"], "section_title": "Mocking External Services", "section_body": "E2E Test Pattern (Playwright)\n\nTest File Organization\n\nMocking External Services", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "014e64b81a41200ace3ca0a9ff5ad04424488efb56d86757740f81703ca58710", "alias_sources": []}
{"id": "0d317c15fecce5b3", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Navigation", "Type-Safe NavigationStack"], "section_title": "Type-Safe NavigationStack", "section_body": "ViewModifier for Reusable Styling\n\nNavigation\n\nType-Safe NavigationStack\n\nUse `NavigationStack` with `NavigationPath` for programmatic, type-safe routing:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "c265d211dee316a046a35e195bcda3b15399b456a67ed78ec5933eac0aa598dd", "alias_sources": []}
{"id": "0d532a453872ab3f", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Setup", "Quick Start"], "section_title": "Quick Start", "section_body": "Setup\n\nQuick Start\n\n**Note:** Plankton requires manual installation from its repository. Review the code before installing.\n\nNo install command, no plugin config. The hooks in `.claude/settings.json` are picked up automatically when you run Claude Code in the Plankton directory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "f8290511ea4b94807eb2dfaacb5c830c5eef8222d3c1a5b06812f989c7c64528", "alias_sources": []}
{"id": "0d7338bbe866dd37", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nthe interface has a clear visual point of view\n\ntypography and spacing feel intentional\n\ncolor and motion support the product instead of decorating it randomly\n\nthe result does not read like generic AI UI\n\nthe implementation is production-grade, not just visually interesting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "b1c63c97a6e49ef128a6fc289e886dcadd3c9524fd90b4a7f99518e0aa8fa4a6", "alias_sources": []}
{"id": "0de6bb29d2b66afd", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Rate Limiting"], "section_title": "Rate Limiting", "section_body": "Authentication and Authorization\n\nToken-Based Auth\n\nAuthorization Patterns\n\nRate Limiting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "b97bbfc2cbf6ca13fcb1c6632fa752bb669bbfcb47b6dcfcab4eaedda8042a46", "alias_sources": []}
{"id": "0df277643d64f285", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "Workflow"], "section_title": "Workflow", "section_body": "Workflow\n\nCheck scope first: program rules, SECURITY.md, disclosure channel, and exclusions.\n\nFind real entrypoints: HTTP handlers, uploads, background jobs, webhooks, parsers, and integration endpoints.\n\nRun static tooling where it helps, but treat it as triage input only.\n\nRead the real code path end to end.\n\nProve user control reaches a meaningful sink.\n\nConfirm exploitability and impact with the smallest safe PoC possible.\n\nCheck for duplicates before drafting a report.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "2110ead6aae384110b5bac0fd8f89ab97583a717218b307a8d6af5aae223ab05", "alias_sources": []}
{"id": "0e04d01197c4bf19", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u5185\u7f6e\u5de5\u5177", "\u62bd\u5361\u5f15\u64ce\uff08gacha.py\uff09"], "section_title": "\u62bd\u5361\u5f15\u64ce\uff08gacha.py\uff09", "section_body": "\u5185\u7f6e\u5de5\u5177\n\n\u62bd\u5361\u5f15\u64ce\uff08gacha.py\uff09\n\n**\u8def\u5f84**\uff1a`${SKILL_DIR}/gacha.py`\n\n**\u8c03\u7528**\uff1a`python3 ${SKILL_DIR}/gacha.py [\u6b21\u6570]`\uff08\u9ed8\u8ba4 1 \u6b21\uff0c\u6700\u591a 5 \u6b21\uff09\n\n**\u4f5c\u7528**\uff1a\u4ece 800 \u4e07\u79cd\u7ec4\u5408\u4e2d\u771f\u968f\u673a\u751f\u6210\u9f99\u867e\u7075\u9b42\u65b9\u5411", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "b1a8b362d1ce0a64210be01ad3229fad4213a2423ee8a9583cbb571c0fe02806", "alias_sources": []}
{"id": "0e3f08924393960a", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Communication Patterns", "Rate Negotiation Tone"], "section_title": "Rate Negotiation Tone", "section_body": "Communication Patterns\n\nRate Negotiation Tone\n\nRate negotiations are long-term relationship conversations, not one-time transactions. Calibrate tone:\n\n**Opening position:** Lead with data, not demands. \"DAT shows this lane averaging $2.15/mile over the last 90 days. Our current contract is $2.45. We'd like to discuss alignment.\" Never say \"your rate is too high\" \u2014 say \"the market has shifted and we want to make sure we're in a competitive position together.\"\n\n**Counter-offers:** Acknowledge the carrier's perspective. \"We understand driver pay increases are real. Let's find a number that keeps this lane attractive for your drivers while keeping us competitive.\" Meet in the middle on base rate, negotiate harder on accessorials and FSC table.\n\n**Annual reviews:** Frame as partnership check-ins, not cost-cutting exercises. Share your volume forecast, growth plans, and lane changes. Ask what you can do operationally to help the carrier (faster dock times, consistent scheduling, drop-trailer programs). Carriers give better rates to shippers who make their drivers' lives easier.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "1d49c1c74446847632aa9eb1631f78528951b0d26c7cd11cd97212f81f663638", "alias_sources": []}
{"id": "0e65484bb587b985", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Comparison Notes (Research: Jan 2025)", "Potential v2 Enhancements"], "section_title": "Potential v2 Enhancements", "section_body": "Potential v2 Enhancements\n\n**Instinct-based learning** - Smaller, atomic behaviors with confidence scoring\n\n**Background observer** - Haiku agent analyzing in parallel\n\n**Confidence decay** - Instincts lose confidence if contradicted\n\n**Domain tagging** - code-style, testing, git, debugging, etc.\n\n**Evolution path** - Cluster related instincts into skills/commands\n\nSee: `docs/continuous-learning-v2-spec.md` for full spec.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "aaa698e8fe7af45b7b3a42f1eca100d631d2b5b8064569e4dad2e6bc52b6b66f", "alias_sources": []}
{"id": "0ebd6a3806ce7d92", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Evaluation Criteria", "Scoring"], "section_title": "Scoring", "section_body": "Evaluation Criteria\n\nThe default four criteria, each scored 1-10:\n\nScoring\n\n**Weighted score** = sum of (criterion_score * weight)\n\n**Pass threshold** = 7.0 (configurable)\n\n**Max iterations** = 15 (configurable, typically 5-15 sufficient)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "5626865117a8beb12c8769b09c42e9e97e1fb5183e5c3efeead323fc298f798f", "alias_sources": []}
{"id": "0ec7e3b1cd6e5802", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Verification Phases", "Phase 4: Test Suite"], "section_title": "Phase 4: Test Suite", "section_body": "Phase 3: Lint Check\n\nPhase 4: Test Suite\n\nReport:\n\nTotal tests: X\n\nPassed: X\n\nFailed: X\n\nCoverage: X%", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "0ec77cbb94d520dcf7f3903b30d6a66c787ddcedaf38b1e79911a86f623818f8", "alias_sources": []}
{"id": "0ed1367107dae17b", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:save` \u2014 Save Session State"], "section_title": "`/ck:save` \u2014 Save Session State", "section_body": "`/ck:save` \u2014 Save Session State\n\n**This is the only command requiring LLM analysis.** Analyze the current conversation:\n\n`summary`: one sentence, max 10 words, what was accomplished\n\n`leftOff`: what was actively being worked on (specific file/feature/bug)\n\n`nextSteps`: ordered array of concrete next steps\n\n`decisions`: array of `{what, why}` for decisions made this session\n\n`blockers`: array of current blockers (empty array if none)\n\n`goal`: updated goal string **only if it changed this session**, else omit\n\nShow a draft summary to the user: `\"Session: '<summary>' \u2014 save this? (yes / edit)\"`\nWait for confirmation. Then pipe to save.mjs:\n\nJSON schema (exact): `{\"summary\":\"...\",\"leftOff\":\"...\",\"nextSteps\":[\"...\"],\"decisions\":[{\"what\":\"...\",\"why\":\"...\"}],\"blockers\":[\"...\"]}`\nDisplay the script's stdout confirmation verbatim.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "d8ae16b4e62cd10787ab6aec50c73db80428ce915c5932a79aa99d5a52eeedab", "alias_sources": []}
{"id": "0f1b81a460ccad6d", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Module System and Crate Structure", "Visibility \u2014 Expose Minimally"], "section_title": "Visibility \u2014 Expose Minimally", "section_body": "Module System and Crate Structure\n\nOrganize by Domain, Not by Type\n\nVisibility \u2014 Expose Minimally", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "1934bd62b5dcce2342ea48874a2c889e44e6e716ec79b8cb01f0939b0ac25851", "alias_sources": []}
{"id": "0f3db7ca289c9f7b", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "Choosing the Right Pattern", "Combining Patterns"], "section_title": "Combining Patterns", "section_body": "Choosing the Right Pattern\n\nDecision Matrix\n\nCombining Patterns\n\nThese patterns compose well:\n\n**Sequential Pipeline + De-Sloppify** \u2014 The most common combination. Every implement step gets a cleanup pass.\n\n**Continuous Claude + De-Sloppify** \u2014 Add `--review-prompt` with a de-sloppify directive to each iteration.\n\n**Any loop + Verification** \u2014 Use ECC's `/verify` command or `verification-loop` skill as a gate before commits.\n\n**Ralphinho's tiered approach in simpler loops** \u2014 Even in a sequential pipeline, you can route simple tasks to Haiku and complex tasks to Opus:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "a0cfbe4b9f7b57192d3516bed2fc9c94ea9ee10c943562b148fa3e12aa9c0ca1", "alias_sources": []}
{"id": "0f4d0fd55d229c56", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Decision Frameworks", "Priority Sequencing"], "section_title": "Priority Sequencing", "section_body": "Priority Sequencing\n\nWhen multiple exceptions are active simultaneously (common during peak season or weather events), prioritize:\n\nSafety/regulatory (temperature-controlled pharma, hazmat) \u2014 always first\n\nCustomer production shutdown risk \u2014 financial multiplier is 10-50x product value\n\nPerishable with remaining shelf life < 48 hours\n\nHighest financial impact adjusted for customer tier\n\nOldest unresolved exception (prevent aging beyond SLA)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "e274dc5a750d33dfef5033c8af8bdcb26aff9c94216a148e8b39f6ab5627b0dd", "alias_sources": []}
{"id": "0f540a6ad3372756", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "When To Use"], "section_title": "When To Use", "section_body": "When To Use\n\nuser says ECC Tools burn rate, PR recursion, over-created PRs, usage-limit bypass, or premium-model leakage\n\nthe task is in the sibling `ECC-Tools` repo and depends on webhook handlers, queue workers, usage reservation, PR creation logic, or paid-gate enforcement\n\na customer report says the app created too many PRs, billed incorrectly, or analyzed code without producing a usable result", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "9b8aadec829415d90a3537c5543bcce81270c5ccc60ac2b9a7d60082a64eb835", "alias_sources": []}
{"id": "0f57a7097e52db2b", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "5. The De-Sloppify Pattern", "The Solution: Separate Pass"], "section_title": "The Solution: Separate Pass", "section_body": "The Solution: Separate Pass\n\nInstead of constraining the Implementer, let it be thorough. Then add a focused cleanup agent:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "d2f7477072cf4c27bb43c495965a9e6a72e26f3d7faf5b0e16247d9d35a26fdc", "alias_sources": []}
{"id": "0f5fb99d23ac85ae", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Rollback Strategy", "Instant Rollback"], "section_title": "Instant Rollback", "section_body": "Twelve-Factor App Pattern\n\nConfiguration Validation\n\nRollback Strategy\n\nInstant Rollback", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "1f579fd5d20f61d48073f880dcdd3137d75d824ba114b78bf86de682d3ec82dc", "alias_sources": []}
{"id": "0f6858e4c4d9c31e", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Core Principles", "1. Readability Counts"], "section_title": "1. Readability Counts", "section_body": "Core Principles\n\n1. Readability Counts\n\nPython prioritizes readability. Code should be obvious and easy to understand.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "e2229e5d2c8bb8f5cac62c801230f0fed5a9ecff920db2f0995f6fb4a046e1cb", "alias_sources": []}
{"id": "0f9838051d0394e2", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns"], "section_title": "JPA/Hibernate Patterns", "section_body": "JPA/Hibernate Patterns\n\nUse for data modeling, repositories, and performance tuning in Spring Boot.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "df1adc786febb58618e4242e0fa445493e6ff21590d9bd48bdf1e35b55cfc6a8", "alias_sources": []}
{"id": "0f99e432c033b466", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "CSRF Protection"], "section_title": "CSRF Protection", "section_body": "CSRF Protection\n\nFor browser session apps, keep CSRF enabled; include token in forms/headers\n\nFor pure APIs with Bearer tokens, disable CSRF and rely on stateless auth", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "73888fcf735f8b61f9aaf271c6c18cb1cf12b1ff23accf9a9ec0803de157b6cf", "alias_sources": []}
{"id": "0fa5273cfbe5d576", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Provenance"], "section_title": "Provenance", "section_body": "Provenance\n\nReference material for this skill is vendored locally under `skills/videodb/reference/`.\nUse the local copies above instead of following external repository links at runtime.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "a8e4d0da319a98382b0d0b00aefb5c5606e98ad84335f6a3f3937edd46b2aeee", "alias_sources": []}
{"id": "0faa448652fd183c", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Protocol", "/opensource fork PROJECT"], "section_title": "/opensource fork PROJECT", "section_body": "Protocol\n\n/opensource fork PROJECT\n\n**Full pipeline \u2014 the main workflow.**\n\nStep 1: Gather Parameters\n\nStep 1: Gather Parameters\n\nResolve the project path. If PROJECT contains `/`, treat as a path (absolute or relative). Otherwise check: current working directory, `$HOME/PROJECT`, then ask the user.\n\nAsk the user:\n\n\"Which project?\" (if not found)\n\n\"License? (MIT / Apache-2.0 / GPL-3.0 / BSD-3-Clause)\"\n\n\"GitHub org or username?\" (default: detect via `gh api user -q .login`)\n\n\"GitHub repo name?\" (default: project name)\n\n\"Description for README?\" (analyze project for suggestion)\n\nStep 2: Create Staging Directory\n\nStep 2: Create Staging Directory\n\nStep 3: Run Forker Agent\n\nStep 3: Run Forker Agent\n\nSpawn the `opensource-forker` agent:\n\nWait for completion. Read `{STAGING_PATH}/FORK_REPORT.md`.\n\nStep 4: Run Sanitizer Agent\n\nStep 4: Run Sanitizer Agent\n\nSpawn the `opensource-sanitizer` agent:\n\nWait for completion. Read `{STAGING_PATH}/SANITIZATION_REPORT.md`.\n\n**If FAIL:** Show findings to user. Ask: \"Fix these and re-scan, or abort?\"\n\nIf fix: Apply fixes, re-run sanitizer (maximum 3 retry attempts \u2014 after 3 FAILs, present all findings and ask user to fix manually)\n\nIf abort: Clean up staging directory\n\n**If PASS or PASS WITH WARNINGS:** Continue to Step 5.\n\nStep 5: Run Packager Agent\n\nStep 5: Run Packager Agent\n\nSpawn the `opensource-packager` agent:\n\nStep 6: Final Review\n\nStep 6: Final Review\n\nPresent to user:\n\nStep 7: GitHub Publish (on user approval)\n\nStep 7: GitHub Publish (on user approval)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review", "phase:deploy", "phase:debug", "phase:docs"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "1d46c6469245ca7f9ae81d32e9719d4d5e06e4c49d7a9cd1f07cfac897aaf63e", "alias_sources": []}
{"id": "0fb4c6c6534c8950", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 4: Post-Installation Verification", "4c: Check Cross-References Between Skills"], "section_title": "4c: Check Cross-References Between Skills", "section_body": "4c: Check Cross-References Between Skills\n\nSome skills reference others. Verify these dependencies:\n\n`django-tdd` may reference `django-patterns`\n\n`laravel-tdd` may reference `laravel-patterns`\n\n`springboot-tdd` may reference `springboot-patterns`\n\n`continuous-learning-v2` references `~/.claude/homunculus/` directory\n\n`python-testing` may reference `python-patterns`\n\n`golang-testing` may reference `golang-patterns`\n\n`crosspost` references `content-engine` and `x-api`\n\n`deep-research` references `exa-search` (complementary MCP tools)\n\n`fal-ai-media` references `videodb` (complementary media skill)\n\n`x-api` references `content-engine` and `crosspost`\n\nLanguage-specific rules reference `common/` counterparts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "97bf33eece72890c6c882dfd31b4b02e737d56657f4eb788bfa9c3ea029e8b59", "alias_sources": []}
{"id": "0fc4f1607bb437bd", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "When to Use"], "section_title": "When to Use", "section_body": "Claude DevFleet Multi-Agent Orchestration\n\nWhen to Use\n\nUse this skill when you need to dispatch multiple Claude Code agents to work on coding tasks in parallel. Each agent runs in an isolated git worktree with full tooling.\n\nRequires a running Claude DevFleet instance connected via MCP:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "2a460b9defa7c2317c4c2e2d41d513f3535a11422ff4fa677cd0eb893833c560", "alias_sources": []}
{"id": "0fd1a55a183825d8", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Core Pattern \u2014 Global and Static Variables"], "section_title": "Core Pattern \u2014 Global and Static Variables", "section_body": "Core Pattern \u2014 Global and Static Variables\n\nProtect global/static state with MainActor:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "efe45b2a58056f3e394a593e5eb90de64b4b60d13972f1955a7a8d9874ac91b7", "alias_sources": []}
{"id": "0fe3725478400fd5", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Workflow", "3. Inspect code-backed billing behavior"], "section_title": "3. Inspect code-backed billing behavior", "section_body": "3. Inspect code-backed billing behavior\n\nIf the answer depends on implementation truth, inspect the code path:\n\ncheckout\n\npricing page\n\nentitlement calculation\n\nseat or quota handling\n\ninstallation vs user usage logic\n\nbilling portal or self-serve management support", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "950ade4948f320bc4fd186c7d12f040ef7c11851775196b7d91e9b508a929410", "alias_sources": []}
{"id": "0ff9a886440faee2", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "Analysis Depth Levels"], "section_title": "Analysis Depth Levels", "section_body": "Analysis Depth Levels\n\n| Level | Files Read | Use Case |\n|---|---|---|\n| `fast` | 1-2 per module | Quick inventory of huge directories |\n| `standard` | 2-5 per module | Default audit with full dependency + architecture checks |\n| `deep` | 5-10 per module | Adds thread safety, memory management, API consistency |\n| `full` | All files | Pre-merge comprehensive review |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:review"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "e2095be6391c12f0aaded5db5db93b3e4551f8838dfacab82769da4c6b9a901d", "alias_sources": []}
{"id": "101e2f86443b767f", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new Rust functions, methods, or traits\n\nAdding test coverage to existing code\n\nCreating benchmarks for performance-critical code\n\nImplementing property-based tests for input validation\n\nFollowing TDD workflow in Rust projects", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "9fcc4f01879ee8798105734fa4cfc943e66eb7a7ce711650e70142e6a4ee43ac", "alias_sources": []}
{"id": "104f6202f5f65ccf", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| CBP detention or seizure | Notify VP and legal counsel | Within 1 hour |\n| Restricted party screening true positive | Halt transaction, notify compliance officer and legal | Immediately |\n| Potential penalty exposure > $50,000 | Notify VP Trade Compliance and General Counsel | Within 2 hours |\n| Customs examination with discrepancy found | Assign dedicated specialist, notify broker | Within 4 hours |\n| Denied party / SDN match confirmed | Full stop on all transactions with the entity globally | Immediately |\n| AD/CVD evasion investigation received | Retain outside trade counsel | Within 24 hours |\n| FTA origin audit from foreign customs authority | Notify all affected suppliers, begin documentation review | Within 48 hours |\n| Voluntary self-disclosure decision | Legal counsel approval required before filing | Before submission |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "7f2e93871ae9fa6082fb89a5afef1a5fe3d91eeb5bde2c002832ec5d6b24eace", "alias_sources": []}
{"id": "10598172830ecf2b", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "The Solution: Iterative Retrieval", "Phase 4: LOOP"], "section_title": "Phase 4: LOOP", "section_body": "Phase 3: REFINE\n\nUpdate search criteria based on evaluation:\n\nPhase 4: LOOP\n\nRepeat with refined criteria (max 3 cycles):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "9abe20fda2bdf7f72eb7fec88ffb16ae1167124181503b626132e79d818730ba", "alias_sources": []}
{"id": "106602630539fd77", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Workflow", "3. Trace the proof path"], "section_title": "3. Trace the proof path", "section_body": "3. Trace the proof path\n\nBack every important claim with a concrete source:\n\nfile path\n\nworkflow run\n\nhook log\n\nconfig entry\n\nrecent command output\n\nexact failure signature\n\nIf the current state is ambiguous, say so directly instead of pretending the audit is complete.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "5886f722736427d5c3c7fc422d47c8583d712b43c2fd11d3dac13218dfc4d7aa", "alias_sources": []}
{"id": "1077b43beae66ff0", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Core Principles", "3. Context Sensitivity"], "section_title": "3. Context Sensitivity", "section_body": "3. Context Sensitivity\n\nUnderstand scalar vs list context \u2014 a core Perl concept.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "8246fc19d3a05af98aabc94d8905bd596b9be0d515c8ae9346ab6907cb5a6cdd", "alias_sources": []}
{"id": "107a38a6d5fd02b7", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Performance Best Practices"], "section_title": "Performance Best Practices", "section_body": "Comments & Documentation\n\nWhen to Comment\n\nJSDoc for Public APIs\n\nPerformance Best Practices", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "baf17f6aceb2b28f69b8fb1d846511566d39107e805b43a57fdd89798683a2e2", "alias_sources": []}
{"id": "10911b0fac1b6ca3", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Snapshot Streaming"], "section_title": "Core Pattern \u2014 Snapshot Streaming", "section_body": "1. Define a Tool\n\n2. Create Session with Tools\n\n3. Handle Tool Errors\n\nCore Pattern \u2014 Snapshot Streaming\n\nStream structured responses for real-time UI with `PartiallyGenerated` types:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "7904ee79dc1794e3462a42a5d21d3fb9bfabfa27dd4ffd2cc2d6c7eb32a83631", "alias_sources": []}
{"id": "10a365362aea8a91", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Core Rules"], "section_title": "Core Rules", "section_body": "Core Rules\n\nLead with the concrete thing: artifact, example, output, anecdote, number, screenshot, or code.\n\nExplain after the example, not before.\n\nKeep sentences tight unless the source voice is intentionally expansive.\n\nUse proof instead of adjectives.\n\nNever invent facts, credibility, or customer evidence.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "622be2d9adab5974ff42de763f638c71e52db4231d82b8ffd83739ade238c3ce", "alias_sources": []}
{"id": "10a5ca5b8610600d", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser says \"open source this project\" or \"make this public\"\n\nUser wants to prepare a private repo for public release\n\nUser needs to strip secrets before pushing to GitHub\n\nUser invokes `/opensource fork`, `/opensource verify`, or `/opensource package`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "dccf959173749edff654a85df2d9b39a91f0625470d81ddb4c374e31179a8001", "alias_sources": []}
{"id": "10a6dc95fd182bb8", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Error Handling (E.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Exception Hierarchy\n\nAnti-Patterns\n\nThrowing built-in types like `int` or string literals (E.14)\n\nCatching by value (slicing risk) (E.15)\n\nEmpty catch blocks that silently swallow errors\n\nUsing exceptions for flow control (E.3)\n\nError handling based on global state like `errno` (E.28)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "61fb94a7437efacb57365659d5883b073802aadefe8945c529fc216be3c55eea", "alias_sources": []}
{"id": "10b94440a05ac546", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "References"], "section_title": "References", "section_body": "References\n\nSee skill: `android-clean-architecture` for module structure and layering.\nSee skill: `kotlin-coroutines-flows` for coroutine and Flow patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "81243b8f3929bdee2129019365e4ce107bf027da09044806bbbfa61297a81cad", "alias_sources": []}
{"id": "10e5b810513c3a67", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Phase Details", "Phase 3: Naughty or Nice (Verdict Gate)"], "section_title": "Phase 3: Naughty or Nice (Verdict Gate)", "section_body": "Phase 3: Naughty or Nice (Verdict Gate)\n\nWhy both must pass: if only one reviewer catches an issue, that issue is real. The other reviewer's blind spot is exactly the failure mode Santa Method exists to eliminate.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "ffda0b9a969f8d1f9d11aeba6a2d02cdee807e5c10bedc523a8fa8c300651243", "alias_sources": []}
{"id": "10ec06d08c1f990b", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "The Three Agents", "3. Evaluator Agent"], "section_title": "3. Evaluator Agent", "section_body": "3. Evaluator Agent\n\n**Role:** QA engineer \u2014 tests the live running application, not just code.\n\n**Key behaviors:**\n\nUses **Playwright MCP** to interact with the live application\n\nClicks through features, fills forms, tests API endpoints\n\nScores against four criteria (configurable):\n\n**Design Quality** \u2014 Does it feel like a coherent whole?\n\n**Originality** \u2014 Custom decisions vs. template/AI patterns?\n\n**Craft** \u2014 Typography, spacing, animations, micro-interactions?\n\n**Functionality** \u2014 Do all features actually work?\n\nReturns structured feedback with scores and specific issues\n\nIs engineered to be **ruthlessly strict** \u2014 never praises mediocre work\n\n**Model:** Opus 4.6 (needs strong judgment + tool use)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "461270ee5c245554757cd8d412c6936ec66d78b03243aae6b3f659282dd0cc81", "alias_sources": []}
{"id": "10f7bb440a9f4336", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works", "Alert Severity and UI Behavior"], "section_title": "Alert Severity and UI Behavior", "section_body": "Alert Severity and UI Behavior\n\n| Severity | UI Behavior | Clinician Action Required |\n|----------|-------------|--------------------------|\n| Critical | Block action. Non-dismissable modal. Red. | Must document override reason to proceed |\n| Major | Warning banner inline. Orange. | Must acknowledge before proceeding |\n| Minor | Info note inline. Yellow. | Awareness only, no action required |\n\nCritical alerts must NEVER be auto-dismissed or implemented as toast notifications. Override reasons must be stored in the audit trail.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "91ef6b8ccb8548d82006f726abbdbd8d435537d1f6bb3511609e821fe48ecb5c", "alias_sources": []}
{"id": "11054baa5ce75c6c", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Sealed Classes and Interfaces", "Sealed Interfaces for API Responses"], "section_title": "Sealed Interfaces for API Responses", "section_body": "Sealed Classes and Interfaces\n\nModeling Restricted Hierarchies\n\nSealed Interfaces for API Responses", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "80579a2975094e07b8aa8fbf8dfabc9cc1cf4f98ce7dfdcc0facd72d21fc9f55", "alias_sources": []}
{"id": "1129e4e7477591fa", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Benchmarking"], "section_title": "Benchmarking", "section_body": "Benchmarking\n\nTrack:\n\ncompletion rate\n\nretries per task\n\npass@1 and pass@3\n\ncost per successful task", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "1bf1b0db3dbecbf29dc7cb83d97f00a8f11e43805e5a246e3f5c46fb8dfd7000", "alias_sources": []}
{"id": "1130a9ff809e3c06", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Flow Patterns", "StateFlow for UI State"], "section_title": "StateFlow for UI State", "section_body": "Flow Patterns\n\nCold Flow \u2014 One-Shot to Stream Conversion\n\nStateFlow for UI State\n\n`WhileSubscribed(5_000)` keeps the upstream active for 5 seconds after the last subscriber leaves \u2014 survives configuration changes without restarting.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "8072e87e65e5477cb84c751337944778797a57afa0dc2a4260913085432c952b", "alias_sources": []}
{"id": "113f61e874ff4d5d", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 5: Wire everything in a composition root"], "section_title": "Step 5: Wire everything in a composition root", "section_body": "Step 5: Wire everything in a composition root\n\nInstantiate adapters, then inject them into use cases. Keep this wiring centralized to avoid hidden service-locator behavior.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "d55b4985573ccdd7e924da0261e0e313e08495d1d3d666d24df9f558d395c9af", "alias_sources": []}
{"id": "11538e280f763a34", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "State shape design:"], "section_title": "State shape design:", "section_body": "State shape design:\n\n[ ] Mutually exclusive states use sealed types, union variants, or the solution's built-in async state type (e.g. Riverpod's `AsyncValue`) \u2014 not boolean flags (`isLoading`, `isError`, `hasData`)\n\n[ ] Every async operation models loading, success, and error as distinct states\n\n[ ] All state variants are handled exhaustively in UI \u2014 no silently ignored cases\n\n[ ] Error states carry error information for display; loading states don't carry stale data\n\n[ ] Nullable data is not used as a loading indicator \u2014 states are explicit", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "d0222a744ccf3520b455e43aaa10c0e60ac4540da0c390893bcb99db79cf8485", "alias_sources": []}
{"id": "11980f2132008a2e", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nCreating a talk deck, pitch deck, workshop deck, or internal presentation\n\nConverting `.ppt` or `.pptx` slides into an HTML presentation\n\nImproving an existing HTML presentation's layout, motion, or typography\n\nExploring presentation styles with a user who does not know their design preference yet", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "c5a85b300d377180786605b10992e21be99b9717aa582b0ba39628bfac864911", "alias_sources": []}
{"id": "119ff125e85b535e", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Workflow", "Step 4: Deep-Read Key Sources"], "section_title": "Step 4: Deep-Read Key Sources", "section_body": "Step 4: Deep-Read Key Sources\n\nFor the most promising URLs, fetch full content:\n\n**With firecrawl:**\n\n**With exa:**\n\nRead 3-5 key sources in full for depth. Do not rely only on search snippets.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "1170c3c5917e6524cbfe4f3af1bdb6b3f75ee2859799a666fb57148d828d1d45", "alias_sources": []}
{"id": "11cbfe7db2856bc7", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nHydration mismatches between server HTML and client state\n\nRoute-level rendering decisions such as prerender, SWR, ISR, or client-only sections\n\nPerformance work around lazy loading, lazy hydration, or payload size\n\nPage or component data fetching with `useFetch`, `useAsyncData`, or `$fetch`\n\nNuxt routing issues tied to route params, middleware, or SSR/client differences", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "58193e2e8d7811d055dd3caef11d228c137ef7706420f89facc05951596f7815", "alias_sources": []}
{"id": "11d5b5b6954a39f6", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Confidence Scoring"], "section_title": "Confidence Scoring", "section_body": "Confidence Scoring\n\nConfidence evolves over time:\n\n| Score | Meaning | Behavior |\n|-------|---------|----------|\n| 0.3 | Tentative | Suggested but not enforced |\n| 0.5 | Moderate | Applied when relevant |\n| 0.7 | Strong | Auto-approved for application |\n| 0.9 | Near-certain | Core behavior |\n\n**Confidence increases** when:\n\nPattern is repeatedly observed\n\nUser doesn't correct the suggested behavior\n\nSimilar instincts from other sources agree\n\n**Confidence decreases** when:\n\nUser explicitly corrects the behavior\n\nPattern isn't observed for extended periods\n\nContradicting evidence appears", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "5523b07ee490ecdeb1053e582c6c783341226be45e2fda9a385b4d1d9f667c91", "alias_sources": []}
{"id": "11e0bd92c09d1d81", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "Examples", "Triggers"], "section_title": "Triggers", "section_body": "Examples\n\nTriggers\n\n\"Give me the short version first.\"\n\n\"How many tokens will your answer use?\"\n\n\"Respond at 50% depth.\"\n\n\"I want the exhaustive answer, not the summary.\"\n\n\"Dame la version corta y luego la detallada.\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "b761923704de3c3bccf53b33a30ecd657a8d49ac8b4a745b980ad5090a566568", "alias_sources": []}
{"id": "11f56c6991553b99", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nClassify the exception by type (delay, damage, loss, shortage, refusal) and severity\n\nApply the appropriate resolution workflow based on classification and financial exposure\n\nDocument evidence per carrier-specific requirements and filing deadlines\n\nEscalate through defined tiers based on time elapsed and dollar thresholds\n\nFile claims within statute windows, negotiate settlements, and track recovery", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "5042bfd1851e61398c8cdba7ded9a458f70a9df1f9b11f118810195dfa98d439", "alias_sources": []}
{"id": "12117f6a92017443", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow", "Step 3: Build the Scraper Source"], "section_title": "Step 3: Build the Scraper Source", "section_body": "Step 3: Build the Scraper Source\n\nTemplate for any data source:\n\n**HTML scraping pattern:**\n\n**RSS feed pattern:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "b7dc183a75618bae0a87b9eb346b5d6c5c69b54d0a6a6c225c5ae68b035338ae", "alias_sources": []}
{"id": "1245c0e21f9d670f", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement", "Supported Targets"], "section_title": "Supported Targets", "section_body": "Supported Targets\n\n**Skills** (`skills/*/SKILL.md`): Workflow skills like search-first, TDD guides\n\n**Rules** (`rules/common/*.md`): Mandatory rules like testing.md, security.md, git-workflow.md\n\n**Agent definitions** (`agents/*.md`): Whether an agent gets invoked when expected (internal workflow verification not yet supported)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "00bbd0188e7490eaaedf983925adc06389aec9a578a2849823021f2709094e10", "alias_sources": []}
{"id": "129574e3428aecee", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Decision Frameworks", "FTA Qualification Analysis"], "section_title": "FTA Qualification Analysis", "section_body": "FTA Qualification Analysis\n\n**Identify applicable FTAs** based on origin and destination countries.\n\n**Determine the product-specific rule of origin.** Look up the HS heading in the relevant FTA's annex. Rules vary by product \u2014 some require tariff shift, some require minimum RVC, some require both.\n\n**Trace all non-originating materials** through the bill of materials. Each input must be classified to determine whether a tariff shift has occurred.\n\n**Calculate RVC if required.** Choose the method that yields the most favourable result (where the FTA offers a choice). Verify all cost data with the supplier.\n\n**Apply cumulation rules.** USMCA allows accumulation across the US, Mexico, and Canada. EU-UK TCA allows bilateral cumulation. RCEP allows diagonal cumulation among all 15 parties.\n\n**Prepare the certification.** USMCA certifications must include nine prescribed data elements. EUR.1 requires Chamber of Commerce or customs authority endorsement. Retain supporting documentation for 5 years (USMCA) or 4 years (EU).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "8fcba57d4d6b3fdc8e689e199c8c58c5a80268a6117addd77d127897be0c7a27", "alias_sources": []}
{"id": "129cd81ff18b521f", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Context Budgeting"], "section_title": "Context Budgeting", "section_body": "Context Budgeting\n\nKeep system prompt minimal and invariant.\n\nMove large guidance into skills loaded on demand.\n\nPrefer references to files over inlining long documents.\n\nCompact at phase boundaries, not arbitrary token thresholds.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "b36c33ea9ff65f7ba329bc612ae024053aa3b81d0e3eda24db0f6348351f0bc2", "alias_sources": []}
{"id": "12aa7dfbbcbbfa7a", "skill_name": "browser-qa", "skill_description": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "skill_type": null, "section_path": ["Browser QA \u2014 Automated Visual Testing & Interaction", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nUses the browser automation MCP (claude-in-chrome, Playwright, or Puppeteer) to interact with live pages like a real user.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\browser-qa\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "mtime": 1776507629.4872117, "body_hash": "4c47187868eec96442476db44693dfee297c0bcc5136ccdbe6a80c7b9e74bff5", "alias_sources": []}
{"id": "12ac7bb513d60ab1", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Model Testing", "Model Tests"], "section_title": "Model Tests", "section_body": "conftest.py\n\nFactory Boy\n\nFactory Setup\n\nUsing Factories\n\nModel Testing\n\nModel Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "8215ad3a6307a430d12c2b771fd406fb0d804ed02c520f4067a2357647585301", "alias_sources": []}
{"id": "12e61e18ab41db28", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Quick Reference: PyTorch Idioms"], "section_title": "Quick Reference: PyTorch Idioms", "section_body": "Gradient Checkpointing for Large Models\n\ntorch.compile for Speed\n\nQuick Reference: PyTorch Idioms\n\n| Idiom | Description |\n|-------|-------------|\n| `model.train()` / `model.eval()` | Always set mode before train/eval |\n| `torch.no_grad()` | Disable gradients for inference |\n| `optimizer.zero_grad(set_to_none=True)` | More efficient gradient clearing |\n| `.to(device)` | Device-agnostic tensor/model placement |\n| `torch.amp.autocast` | Mixed precision for 2x speed |\n| `pin_memory=True` | Faster CPU\u2192GPU data transfer |\n| `torch.compile` | JIT compilation for speed (2.0+) |\n| `weights_only=True` | Secure model loading |\n| `torch.manual_seed` | Reproducible experiments |\n| `gradient_checkpointing` | Trade compute for memory |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "55381c7f27044a58b4221f02bf88a78256c47164ba7238148c964970fafc4cda", "alias_sources": []}
{"id": "12e90b141995cec4", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Component Patterns", "Render Props Pattern"], "section_title": "Render Props Pattern", "section_body": "Component Patterns\n\nComposition Over Inheritance\n\nCompound Components\n\nRender Props Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "3ab8afaa8da034648e1bb4c9edeabc42f5991526ac8103ee4b36a6752eed2190", "alias_sources": []}
{"id": "131753d5b7492a0e", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nLet the gate fire naturally. Don't try to pre-answer the gate questions \u2014 the investigation itself is what improves quality.\n\nCustomize gate messages for your domain. If your project has specific conventions, add them to the gate prompts.\n\nUse `.gateguard.yml` to ignore paths like `.venv/`, `node_modules/`, `.git/`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "bbd7b62ae27a8be274fe4e0a2ec83910ce4296f8c11c0a1b80c3fb588593d2a2", "alias_sources": []}
{"id": "132ea9cccd3f3030", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Analyzing a Ticket", "3. Edge Cases & Error Scenarios"], "section_title": "3. Edge Cases & Error Scenarios", "section_body": "3. Edge Cases & Error Scenarios\n\nInvalid inputs (empty, too long, special characters)\n\nUnauthorized access\n\nNetwork failures or timeouts\n\nConcurrent users or race conditions\n\nBoundary conditions\n\nMissing or null data\n\nState transitions (back navigation, refresh, etc.)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "f4d719a0b618cabd0a4f97bf481a05005088b9f5f1f1fe20e16dabef39ec1d0d", "alias_sources": []}
{"id": "1364d6890ff6bd3e", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Verification Phases", "Phase 6: Diff Review"], "section_title": "Phase 6: Diff Review", "section_body": "Phase 5: Security Scan\n\nPhase 6: Diff Review\n\nReview each changed file for:\n\nUnintended changes\n\nMissing error handling\n\nPotential edge cases", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "72546e63e21c7e9e776904d7f6ce890f40cf0722c30b41798b6865b673c3a3e2", "alias_sources": []}
{"id": "13761c9adc87c38f", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 5: External Data Store (Supabase, PostgreSQL, etc.)"], "section_title": "Layer 5: External Data Store (Supabase, PostgreSQL, etc.)", "section_body": "Layer 5: External Data Store (Supabase, PostgreSQL, etc.)\n\n**Use for:** Structured data, large document storage, full-text search\n\n**Good for:** Documents too large for memory files, data needing SQL queries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "d148af5bedadfb339439aee28495ede8048d9a4a15c113f5eb3798c9ebd449f8", "alias_sources": []}
{"id": "13a7bcc2f948e6ac", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Golden Rule"], "section_title": "Golden Rule", "section_body": "Golden Rule\n\nAll investor materials must agree with each other.\n\nCreate or confirm a single source of truth before writing:\n\ntraction metrics\n\npricing and revenue assumptions\n\nraise size and instrument\n\nuse of funds\n\nteam bios and titles\n\nmilestones and timelines\n\nIf conflicting numbers appear, stop and resolve them before drafting.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "5006fea90ab305d8672960814b634dbb657b17cc280aea4937576ca6f5bed6aa", "alias_sources": []}
{"id": "13ac461fa6e61a4a", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Examples", "Android: Accessible Toggle"], "section_title": "Android: Accessible Toggle", "section_body": "Examples\n\nWeb: Accessible Search\n\niOS: Accessible Action Button\n\nAndroid: Accessible Toggle", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "941bd85badadafc5933303e0e0e5b5b26dbb1848b7363bf55c59642c552f3f9f", "alias_sources": []}
{"id": "13f9e0ab2a8091f4", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Kover Coverage"], "section_title": "Kover Coverage", "section_body": "Kover Coverage\n\nGradle Configuration\n\nGradle Configuration\n\nCoverage Commands\n\nCoverage Commands\n\nCoverage Targets\n\nCoverage Targets\n\n| Code Type | Target |\n|-----------|--------|\n| Critical business logic | 100% |\n| Public APIs | 90%+ |\n| General code | 80%+ |\n| Generated / config code | Exclude |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "2c2e1e88311aac034c7a1f761dfb62a1859a48bc3e66f90f149a69f5820d6570", "alias_sources": []}
{"id": "140952c0af5e7132", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Checklist Before Recording"], "section_title": "Checklist Before Recording", "section_body": "Script Template\n\nUsage:\n\nChecklist Before Recording\n\n[ ] Discovery phase completed\n\n[ ] Rehearsal passes with all selectors OK\n\n[ ] Headless mode enabled\n\n[ ] Resolution set to `1280x720`\n\n[ ] Cursor and subtitle overlays re-injected after every navigation\n\n[ ] `showSubtitle(page, 'Step N - ...')` used at major transitions\n\n[ ] `moveAndClick` used for all clicks with descriptive labels\n\n[ ] `typeSlowly` used for visible input\n\n[ ] No silent catches; helpers log warnings\n\n[ ] Smooth scrolling used for content reveal\n\n[ ] Key pauses are visible to a human viewer\n\n[ ] Flow matches the requested story order\n\n[ ] Script reflects the actual UI discovered in phase 1", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "f300b30a44eb4830fa048b238ad6a8978fa3319f26be2d1b479e9935fee91638", "alias_sources": []}
{"id": "14419578ed7d7b6b", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Test Organization and prove"], "section_title": "Test Organization and prove", "section_body": "Deep Comparison with Builders\n\nSubtests\n\nException Testing with Test2\n\nTest Organization and prove", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "00d653a8d3e6e5fbc27063fcc5949e92230ba03b8e55da6634749a9c04f001ec", "alias_sources": []}
{"id": "149db8213a9491ea", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "2. Dart Language Pitfalls"], "section_title": "2. Dart Language Pitfalls", "section_body": "2. Dart Language Pitfalls\n\n[ ] **Implicit dynamic**: Missing type annotations leading to `dynamic` \u2014 enable `strict-casts`, `strict-inference`, `strict-raw-types`\n\n[ ] **Null safety misuse**: Excessive `!` (bang operator) instead of proper null checks or Dart 3 pattern matching (`if (value case var v?)`)\n\n[ ] **Type promotion failures**: Using `this.field` where local variable promotion would work\n\n[ ] **Catching too broadly**: `catch (e)` without `on` clause; always specify exception types\n\n[ ] **Catching `Error`**: `Error` subtypes indicate bugs and should not be caught\n\n[ ] **Unused `async`**: Functions marked `async` that never `await` \u2014 unnecessary overhead\n\n[ ] **`late` overuse**: `late` used where nullable or constructor initialization would be safer; defers errors to runtime\n\n[ ] **String concatenation in loops**: Use `StringBuffer` instead of `+` for iterative string building\n\n[ ] **Mutable state in `const` contexts**: Fields in `const` constructor classes should not be mutable\n\n[ ] **Ignoring `Future` return values**: Use `await` or explicitly call `unawaited()` to signal intent\n\n[ ] **`var` where `final` works**: Prefer `final` for locals and `const` for compile-time constants\n\n[ ] **Relative imports**: Use `package:` imports for consistency\n\n[ ] **Mutable collections exposed**: Public APIs should return unmodifiable views, not raw `List`/`Map`\n\n[ ] **Missing Dart 3 pattern matching**: Prefer switch expressions and `if-case` over verbose `is` checks and manual casting\n\n[ ] **Throwaway classes for multiple returns**: Use Dart 3 records `(String, int)` instead of single-use DTOs\n\n[ ] **`print()` in production code**: Use `dart:developer` `log()` or the project's logging package; `print()` has no log levels and cannot be filtered", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "cacc318279bc4e149b88e42170f6966b569a361669193d1a7ee86a1a05cac4e3", "alias_sources": []}
{"id": "14a67db0f6a8abba", "skill_name": "visa-doc-translate", "skill_description": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "skill_type": null, "section_path": ["Instructions", "Supported Documents"], "section_title": "Supported Documents", "section_body": "Supported Documents\n\nBank deposit certificates (\u5b58\u6b3e\u8bc1\u660e)\n\nIncome certificates (\u6536\u5165\u8bc1\u660e)\n\nEmployment certificates (\u5728\u804c\u8bc1\u660e)\n\nRetirement certificates (\u9000\u4f11\u8bc1\u660e)\n\nProperty certificates (\u623f\u4ea7\u8bc1\u660e)\n\nBusiness licenses (\u8425\u4e1a\u6267\u7167)\n\nID cards and passports\n\nOther official documents", "source_path": "CODEFORGE\\everything-claude-code\\skills\\visa-doc-translate\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "mtime": 1776507630.1890082, "body_hash": "e710c025bf43e33b07c59c3285fa93342465644ce9f5e71b43b1a0afa34b13fa", "alias_sources": []}
{"id": "14aed7118aa88aa5", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Granularity Rules"], "section_title": "Granularity Rules", "section_body": "Granularity Rules\n\nUse micro-tools for high-risk operations (deploy, migration, permissions).\n\nUse medium tools for common edit/read/search loops.\n\nUse macro-tools only when round-trip overhead is the dominant cost.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:deploy"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "7004c744bc7200f85307aa66b500a53bda7b34b5a5f10516582dfbc5fdc3ccb6", "alias_sources": []}
{"id": "14cf1ad512ce7797", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Workflow", "2. Read before drafting"], "section_title": "2. Read before drafting", "section_body": "2. Read before drafting\n\nIf the task may turn into an outbound follow-up:\n\nread the latest inbound\n\nidentify the open loop\n\nthen hand off to the correct outbound skill if needed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "7fefd355944743404271d06c62909c7a89cc2bcb5eb9079a5c2710bdbb9cb9e5", "alias_sources": []}
{"id": "14d05d595199ee14", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Analyzing a Ticket", "1. Testable Requirements"], "section_title": "1. Testable Requirements", "section_body": "1. Testable Requirements\n\n**Functional requirements** \u2014 What the feature does\n\n**Acceptance criteria** \u2014 Conditions that must be met\n\n**Testable behaviors** \u2014 Specific actions and expected outcomes\n\n**User roles** \u2014 Who uses this feature and their permissions\n\n**Data requirements** \u2014 What data is needed\n\n**Integration points** \u2014 APIs, services, or systems involved", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "45c4b53c49f45a4941bba636dd5c8da75c26e930a631836cf6b250f6f82ff3bb", "alias_sources": []}
{"id": "1528f3c0137a4045", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "How It Works", "Workflow: Plan \u2192 Dispatch \u2192 Monitor \u2192 Report"], "section_title": "Workflow: Plan \u2192 Dispatch \u2192 Monitor \u2192 Report", "section_body": "Workflow: Plan \u2192 Dispatch \u2192 Monitor \u2192 Report\n\n**Plan**: Call `plan_project(prompt=\"...\")` \u2192 returns `project_id` + list of missions with `depends_on` chains and `auto_dispatch=true`.\n\n**Show plan**: Present mission titles, types, and dependency chain to the user.\n\n**Dispatch**: Call `dispatch_mission(mission_id=<first_mission_id>)` on the root mission (empty `depends_on`). Remaining missions auto-dispatch as their dependencies complete (because `plan_project` sets `auto_dispatch=true` on them).\n\n**Monitor**: Call `get_mission_status(mission_id=...)` or `get_dashboard()` to check progress.\n\n**Report**: Call `get_report(mission_id=...)` when missions complete. Share highlights with the user.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "0a767fb299fe73ebdddf47b109838a478c14747bdb48e7335e3432ff0728a1ff", "alias_sources": []}
{"id": "1543a1dee3114f20", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 6: Local context/archive folder"], "section_title": "Layer 6: Local context/archive folder", "section_body": "Layer 6: Local context/archive folder\n\n**Use for:** human-facing notes, archived gameplans, local media organization, temporary non-code docs\n\n**Rule:** writable for information storage, but not a shadow code workspace\n\n**Do not use for:** active code changes or repo truth that should live upstream", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "fe48e3ac577d6c200560b2d39fed937566eb033f4db3c3fb294a2898811ae1cc", "alias_sources": []}
{"id": "158bf31490082749", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "4. Audit the high-signal burn paths"], "section_title": "4. Audit the high-signal burn paths", "section_body": "4. Audit the high-signal burn paths\n\nPR multiplication\n\nPR multiplication\n\ninspect PR helpers and branch naming\n\ncheck dedupe, synchronize-event handling, and existing-PR reuse\n\nif app-generated branches can re-enter analysis, treat that as a priority-0 recursion risk\n\nQuota bypass\n\nQuota bypass\n\ninspect where quota is checked versus where usage is reserved or incremented\n\nif quota is checked before enqueue but usage is charged only inside the worker, treat concurrent front-door passes as a real race\n\nPremium-model leakage\n\nPremium-model leakage\n\ninspect model selection, tier branching, and provider routing\n\nverify whether free or capped users can still hit premium analyzers when premium keys are present\n\nRetry burn\n\nRetry burn\n\ninspect retry loops, duplicate queue jobs, and deterministic failure reruns\n\nif the same non-transient error can spend analysis repeatedly, fix that before quality improvements", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "4fd705d079c8b0ffd956cf7aae8ddde1f2df1f2c0f84786f147bf6837df3143b", "alias_sources": []}
{"id": "1594ed9682ec5578", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "Customizing Shape and Tint"], "section_title": "Customizing Shape and Tint", "section_body": "Customizing Shape and Tint\n\nKey customization options:\n\n`.regular` \u2014 standard glass effect\n\n`.tint(Color)` \u2014 add color tint for prominence\n\n`.interactive()` \u2014 react to touch and pointer interactions\n\nShape: `.capsule` (default), `.rect(cornerRadius:)`, `.circle`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "89747719b11034e0ea0d75f9f1bc79db672dde15189bf8a8ec13c67f9302e055", "alias_sources": []}
{"id": "1597a39bd728044d", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Don't read everything** \u2014 reconnaissance should use Glob and Grep, not Read on every file. Read selectively only for ambiguous signals.\n\n**Verify, don't guess** \u2014 if a framework is detected from config but the actual code uses something different, trust the code.\n\n**Respect existing CLAUDE.md** \u2014 if one already exists, enhance it rather than replacing it. Call out what's new vs existing.\n\n**Stay concise** \u2014 the onboarding guide should be scannable in 2 minutes. Details belong in the code, not the guide.\n\n**Flag unknowns** \u2014 if a convention can't be confidently detected, say so rather than guessing. \"Could not determine test runner\" is better than a wrong answer.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "9f210ea57e5103ca7a093c00bf69f5b36f4afaf4f30c411abf66f71483922777", "alias_sources": []}
{"id": "15ebc970aad535c6", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Implementation Requirements", "Accessibility"], "section_title": "Accessibility", "section_body": "Accessibility\n\nuse semantic structure (`main`, `section`, `nav`)\n\nkeep contrast readable\n\nsupport keyboard-only navigation\n\nrespect `prefers-reduced-motion`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "adf5cace804314ce56a17a13cf3267af9e651e3921c00ac18eb54c8d521b1151", "alias_sources": []}
{"id": "15f7382aab8f633b", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 6: Final Polish (Descript / CapCut)"], "section_title": "Layer 6: Final Polish (Descript / CapCut)", "section_body": "VideoDB generative audio\n\nIf VideoDB is configured:\n\nLayer 6: Final Polish (Descript / CapCut)\n\nThe last layer is human. Use a traditional editor for:\n\n**Pacing**: adjust cuts that feel too fast or slow\n\n**Captions**: auto-generated, then manually cleaned\n\n**Color grading**: basic correction and mood\n\n**Final audio mix**: balance voice, music, and SFX levels\n\n**Export**: platform-specific formats and quality settings\n\nThis is where taste lives. AI clears the repetitive work. You make the final calls.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "39d912dc376733669d0e9539be0e1becd601f2c1f6b9991a3a0321e2bfefc7ac", "alias_sources": []}
{"id": "1601c80cab87ecee", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "KMP Platform-Specific UI"], "section_title": "KMP Platform-Specific UI", "section_body": "Modifier Ordering\n\nModifier order matters \u2014 apply in this sequence:\n\nKMP Platform-Specific UI", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "e0ce8809817fc6ea60b3b9428549c9ebb6b8ab8b26d8a72d094220dd0bc06aec", "alias_sources": []}
{"id": "1607a603204097a4", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Security Guidelines"], "section_title": "Security Guidelines", "section_body": "Security Guidelines\n\n**Never hardcode** Jira API tokens in source code or skill files\n\n**Always use** environment variables or a secrets manager\n\n**Add `.env`** to `.gitignore` in every project\n\n**Rotate tokens** immediately if exposed in git history\n\n**Use least-privilege** API tokens scoped to required projects\n\n**Validate** that credentials are set before making API calls \u2014 fail fast with a clear message", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "39ad9f0ea8e40372d747136ae7d6d1a3a314e4521de274eb316d2aec07e0e1ca", "alias_sources": []}
{"id": "1627d65cd8fd70e5", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "4. Build the Presentation"], "section_title": "4. Build the Presentation", "section_body": "4. Build the Presentation\n\nOutput either:\n\n`presentation.html`\n\n`[presentation-name].html`\n\nUse an `assets/` folder only when the deck contains extracted or user-supplied images.\n\nRequired structure:\n\nsemantic slide sections\n\na viewport-safe CSS base from `STYLE_PRESETS.md`\n\nCSS custom properties for theme values\n\na presentation controller class for keyboard, wheel, and touch navigation\n\nIntersection Observer for reveal animations\n\nreduced-motion support", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "0fd91b7df9d10d70c48df193f1773d96ef3767256b2e51075771f2c6b7c131a0", "alias_sources": []}
{"id": "1663063f7844557c", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "In-Scope Patterns"], "section_title": "In-Scope Patterns", "section_body": "In-Scope Patterns\n\nThese are the kinds of issues that consistently matter:\n\n| Pattern | CWE | Typical impact |\n| --- | --- | --- |\n| SSRF through user-controlled URLs | CWE-918 | internal network access, cloud metadata theft |\n| Auth bypass in middleware or API guards | CWE-287 | unauthorized account or data access |\n| Remote deserialization or upload-to-RCE paths | CWE-502 | code execution |\n| SQL injection in reachable endpoints | CWE-89 | data exfiltration, auth bypass, data destruction |\n| Command injection in request handlers | CWE-78 | code execution |\n| Path traversal in file-serving paths | CWE-22 | arbitrary file read or write |\n| Auto-triggered XSS | CWE-79 | session theft, admin compromise |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "327661de19f92c8d9706b155e5cbe7c30a767d01f25c5208f05dbc4f3743d3a9", "alias_sources": []}
{"id": "167761570b4d8ef7", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "X"], "section_title": "X", "section_body": "Step 3: Adapt by Platform Constraint\n\nX\n\nkeep it compressed\n\nlead with the sharpest claim or artifact\n\nuse a thread only when a single post would collapse the argument\n\navoid hashtags and generic filler", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "58dcb75d407e21b84ffde99581eb5f77474ff278aa8c7d946d8d0aa7f102b958", "alias_sources": []}
{"id": "169e06f7a84088fe", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow", "Step 9: GitHub Actions Workflow"], "section_title": "Step 9: GitHub Actions Workflow", "section_body": "Step 7: Build Storage (Notion example)\n\nStep 8: Orchestrate in main.py\n\nStep 9: GitHub Actions Workflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "ec69d54db6358aa13892d48587d9d8ab876da60684522fa68d5e37f4c5f78417", "alias_sources": []}
{"id": "16d23f9ed465ddce", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "API Design Standards", "REST API Conventions"], "section_title": "REST API Conventions", "section_body": "Custom Hooks\n\nState Management\n\nConditional Rendering\n\nAPI Design Standards\n\nREST API Conventions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "40b6cf265ecf4afe60b1ec59c34f82569a4bed4f03f75a26e32e8cd3e22555d1", "alias_sources": []}
{"id": "16fe980500eb4ee1", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Key Principles"], "section_title": "Key Principles", "section_body": "Key Principles\n\n**Edit, don't generate.** This workflow is for cutting real footage, not creating from prompts.\n\n**Structure before style.** Get the story right in Layer 2 before touching anything visual.\n\n**FFmpeg is the backbone.** Boring but critical. Where long footage becomes manageable.\n\n**Remotion for repeatability.** If you'll do it more than once, make it a Remotion component.\n\n**Generate selectively.** Only use AI generation for assets that don't exist, not for everything.\n\n**Taste is the last layer.** AI clears repetitive work. You make the final creative calls.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "732d34cc638dc0eed56933bd593f5c4db912d52db48ad7ba3cc87a876fc66f92", "alias_sources": []}
{"id": "171c24d3abb9ea1b", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nroot causes cite exact file paths and code areas\n\nfixes are ordered by burn impact, not code neatness\n\nproving commands are named\n\nfinal status distinguishes local change, verification, push, and deployment", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "8b5f77207a5fe3a5701123b787611342e83448b317cd18650b7d9df17ddf2187", "alias_sources": []}
{"id": "1733b608398091df", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nHealthcare data protection operates on three layers: **classification** (what is sensitive), **access control** (who can see it), and **audit** (who did see it).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "97ca0e869d74179640b2c96319c83b3c81489cbb25efa57f0bc9ee51f88c501a", "alias_sources": []}
{"id": "1738b9ec3013e606", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Convention Plugins (Gradle)"], "section_title": "Convention Plugins (Gradle)", "section_body": "Convention Plugins (Gradle)\n\nFor KMP projects, use convention plugins to reduce build file duplication:\n\nApply in modules:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan", "phase:build"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "71a96b08633e2c9b1721b22844bcba9e8aa0e24718ca37ae53a3e6bee4503fdb", "alias_sources": []}
{"id": "17576d571f17a2ea", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\nNever expose secret keys, full card details, or unnecessary customer PII in the response\n\nDo not refund blindly; first classify the issue\n\nDistinguish among:\n\naccidental duplicate purchase\n\ndeliberate multi-seat or team purchase\n\nbroken product / unmet value\n\nfailed or incomplete checkout\n\ncancellation due to missing self-serve controls\n\nFor annual plans, team plans, and prorated states, verify the contract shape before taking action", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "5b70ffc410a3007b5b41d1b27bb49a5d2ea6ae2d7f7f4f565575ca5fff11d35d", "alias_sources": []}
{"id": "176191d129b24857", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops", "Baseline Controls"], "section_title": "Baseline Controls", "section_body": "Baseline Controls\n\nimmutable deployment artifacts\n\nleast-privilege credentials\n\nenvironment-level secret injection\n\nhard timeout and retry budgets\n\naudit log for high-risk actions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "39113b996c9aa0eae8d855463b6420725a88ad2ae1dfafa968e523564c1bd010", "alias_sources": []}
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{"id": "177c1c01268476e4", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Test Configuration"], "section_title": "Test Configuration", "section_body": "Test Commands\n\n`php artisan test`\n\n`vendor/bin/phpunit`\n\n`vendor/bin/pest`\n\nTest Configuration\n\nUse `phpunit.xml` to set `DB_CONNECTION=sqlite` and `DB_DATABASE=:memory:` for fast tests\n\nKeep separate env for tests to avoid touching dev/prod data", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "8127a3c447ea8ed06507c1c5ba0f98f59f8be5b10f1f32ee26c0d09b96eb58b5", "alias_sources": []}
{"id": "1782af60e554bc51", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "Workflow"], "section_title": "Workflow", "section_body": "Workflow\n\nWrite tests first (they should fail)\n\nImplement minimal code to pass\n\nRefactor with tests green\n\nEnforce coverage (JaCoCo)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "0a6b258f68463bba8f130b0bb13fff0fae238e9eef1eea95ccf397b2ebb96be1", "alias_sources": []}
{"id": "17d370a98b0710d1", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "References"], "section_title": "References", "section_body": "References\n\nSee skill: `swift-actor-persistence` for actor-based persistence patterns.\nSee skill: `swift-protocol-di-testing` for protocol-based DI and testing with Swift Testing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "69ce6d4ddc1e22f169ba578081dc6999a6472d696b54bd20dbb0e307a95c6171", "alias_sources": []}
{"id": "17e595fa63c4112e", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns"], "section_title": "Git Workflow Patterns", "section_body": "Git Workflow Patterns\n\nBest practices for Git version control, branching strategies, and collaborative development.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "d507f22c00cd6451c7eba05a468d5f083934eff7cbb660c0506e3cabce8094b3", "alias_sources": []}
{"id": "181f68038b27ca38", "skill_name": "nodejs-keccak256", "skill_description": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "skill_type": null, "section_path": ["Node.js Keccak-256", "Rule"], "section_title": "Rule", "section_body": "Rule\n\nFor Ethereum contexts, never use `crypto.createHash('sha3-256')`. Use Keccak-aware helpers from `ethers`, `viem`, `web3`, or another explicit Keccak implementation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nodejs-keccak256\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "mtime": 1776507629.8874083, "body_hash": "49b166a34805aae9cd79d987a75bc0f95db0e929858a3ad9f49c2cf0ee0f62a6", "alias_sources": []}
{"id": "1843f0830dfe1cf1", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Communication Patterns", "Performance Reviews"], "section_title": "Performance Reviews", "section_body": "Performance Reviews\n\n**Positive reviews:** Be specific. \"Your 97% OTD on the Chicago\u2013Dallas lane saved us approximately $45K in expedite costs this quarter. We're increasing your allocation from 60% to 75% on that lane.\" Carriers invest in relationships that reward performance.\n\n**Corrective reviews:** Lead with data, not accusations. Present the scorecard. Identify the specific metrics below threshold. Ask for a corrective action plan with a 30/60/90-day timeline. Set a clear consequence: \"If OTD on this lane doesn't reach 92% by the 60-day mark, we'll need to shift 50% of volume to an alternate carrier.\"\n\nUse the review patterns above as a base and adapt the language to your carrier contracts, escalation paths, and customer commitments.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "fd2ea7a68b5828849283b00b8f3bca387ff3c9cfe8ba91097762dcbf870921fb", "alias_sources": []}
{"id": "184ae8fa3db5384f", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "When to Use"], "section_title": "When to Use", "section_body": "Dart/Flutter Patterns\n\nWhen to Use\n\nUse this skill when:\n\nStarting a new Flutter feature and need idiomatic patterns for state management, navigation, or data access\n\nReviewing or writing Dart code and need guidance on null safety, sealed types, or async composition\n\nSetting up a new Flutter project and choosing between BLoC, Riverpod, or Provider\n\nImplementing secure HTTP clients, WebView integration, or local storage\n\nWriting tests for Flutter widgets, Cubits, or Riverpod providers\n\nWiring up GoRouter with authentication guards", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "f67411545a7c327a801275d308871e9f7901a7a0982bdaabaa23ba6d2b5d4ef9", "alias_sources": []}
{"id": "185f54b7c7ee5560", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Core Concepts", "Metrics Collected"], "section_title": "Metrics Collected", "section_body": "Metrics Collected\n\n| Metric | What It Measures |\n|--------|-----------------|\n| Pass rate | Did the agent produce code that passes the judge? |\n| Cost | API spend per task (when available) |\n| Time | Wall-clock seconds to completion |\n| Consistency | Pass rate across repeated runs (e.g., 3/3 = 100%) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "18e0e75d555649aba677cf6f7701270cae90ee9eb4f854240ebef3737b7839b6", "alias_sources": []}
{"id": "188398896e3102aa", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Examples", "Admin controls"], "section_title": "Admin controls", "section_body": "Admin controls\n\nPrefer explicit acceptance for ownership transfer and gate every privileged path.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "19f4ed2f5098ec32e76821d093ec0cc3f74c4576187049b46e42fe264772d666", "alias_sources": []}
{"id": "18885a99988ab0ef", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "Workflow", "Reading Existing ADRs"], "section_title": "Reading Existing ADRs", "section_body": "Reading Existing ADRs\n\nWhen a user asks \"why did we choose X?\":\n\nCheck if `docs/adr/` exists \u2014 if not, respond: \"No ADRs found in this project. Would you like to start recording architectural decisions?\"\n\nIf it exists, scan `docs/adr/README.md` index for relevant entries\n\nRead matching ADR files and present the Context and Decision sections\n\nIf no match is found, respond: \"No ADR found for that decision. Would you like to record one now?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:docs"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "2da4e6f50d0a855e7da4936a41cd50eae210153841cb966cd3055fda6f64a396", "alias_sources": []}
{"id": "195dac76d8e473a3", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Mocking and Patching"], "section_title": "Mocking and Patching", "section_body": "Custom Markers\n\nRun Specific Tests\n\nConfigure Markers in pytest.ini\n\nMocking and Patching", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "c2bacef170bd74ed3b7d618b6e9c89b9789c5ae359daaafd12cff7f27dac4718", "alias_sources": []}
{"id": "196126ab5c31080c", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Forecasting Methods and When to Use Each"], "section_title": "Forecasting Methods and When to Use Each", "section_body": "Core Knowledge\n\nForecasting Methods and When to Use Each\n\n**Moving Averages (simple, weighted, trailing):** Use for stable-demand, low-variability items where recent history is a reliable predictor. A 4-week simple moving average works for commodity staples. Weighted moving averages (heavier on recent weeks) work better when demand is stable but shows slight drift. Never use moving averages on seasonal items \u2014 they lag trend changes by half the window length.\n\n**Exponential Smoothing (single, double, triple):** Single exponential smoothing (SES, alpha 0.1\u20130.3) suits stationary demand with noise. Double exponential smoothing (Holt's) adds trend tracking \u2014 use for items with consistent growth or decline. Triple exponential smoothing (Holt-Winters) adds seasonal indices \u2014 this is the workhorse for seasonal items with 52-week or 12-month cycles. The alpha/beta/gamma parameters are critical: high alpha (>0.3) chases noise in volatile items; low alpha (<0.1) responds too slowly to regime changes. Optimize on holdout data, never on the same data used for fitting.\n\n**Seasonal Decomposition (STL, classical, X-13ARIMA-SEATS):** When you need to isolate trend, seasonal, and residual components separately. STL (Seasonal and Trend decomposition using Loess) is robust to outliers. Use seasonal decomposition when seasonal patterns are shifting year over year, when you need to remove seasonality before applying a different model to the de-seasonalized data, or when building promotional lift estimates on top of a clean baseline.\n\n**Causal/Regression Models:** When external factors drive demand beyond the item's own history \u2014 price elasticity, promotional flags, weather, competitor actions, local events. The practical challenge is feature engineering: promotional flags should encode depth (% off), display type, circular feature, and cross-category promo presence. Overfitting on sparse promo history is the single biggest pitfall. Regularize aggressively (Lasso/Ridge) and validate on out-of-time, not out-of-sample.\n\n**Machine Learning (gradient boosting, neural nets):** Justified when you have large data (1,000+ SKUs \u00d7 2+ years of weekly history), multiple external regressors, and an ML engineering team. LightGBM/XGBoost with proper feature engineering outperforms simpler methods by 10\u201320% WAPE on promotional and intermittent items. But they require continuous monitoring \u2014 model drift in retail is real and quarterly retraining is the minimum.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "e2499c3f65ca7b4417a987a5f897df6739dab68fe7e866da08ae44dd6ac682c7", "alias_sources": []}
{"id": "197e56902cb0a0bd", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Core Problem: Implicit Background Offloading"], "section_title": "Core Problem: Implicit Background Offloading", "section_body": "Core Problem: Implicit Background Offloading\n\nIn Swift 6.1 and earlier, async functions could be implicitly offloaded to background threads, causing data-race errors even in seemingly safe code:\n\nSwift 6.2 fixes this: async functions stay on the calling actor by default.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "e47614f0e95b3da731ac3a19dde8926a0988529b7f3ae0e58d454ddcd872f7a8", "alias_sources": []}
{"id": "19a495c04edfcb73", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Severity Levels"], "section_title": "Severity Levels", "section_body": "GitHub Action\n\nAdd to your CI pipeline:\n\nSeverity Levels\n\n| Grade | Score | Meaning |\n|-------|-------|---------|\n| A | 90-100 | Secure configuration |\n| B | 75-89 | Minor issues |\n| C | 60-74 | Needs attention |\n| D | 40-59 | Significant risks |\n| F | 0-39 | Critical vulnerabilities |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "4c658f56706bb01c603ef83525df13e171c5ecc57a3f13f468f9184e8fd83470", "alias_sources": []}
{"id": "19a7064a54b8bdf6", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Python Tooling Integration"], "section_title": "Python Tooling Integration", "section_body": "Generator for Large Data\n\nAvoid String Concatenation in Loops\n\nPython Tooling Integration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "cfe3882ce484b330b6911ff85c8f04fe4761d6b87176136c8f0958640a9d6149", "alias_sources": []}
{"id": "19ab18e7edbcbb33", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns"], "section_title": "Spring Boot Development Patterns", "section_body": "Spring Boot Development Patterns\n\nSpring Boot architecture and API patterns for scalable, production-grade services.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "0cf3ce768cf8c155702835e7a9535272b1afaee6a00abfc5ab7ec1c30074097c", "alias_sources": []}
{"id": "19b3bd9865e7883c", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Timeline Example\n\nAnti-Patterns\n\n| Anti-Pattern | Why It Fails | Better Approach |\n|-------------|-------------|-----------------|\n| Manual SQL in production | No audit trail, unrepeatable | Always use migration files |\n| Editing deployed migrations | Causes drift between environments | Create new migration instead |\n| NOT NULL without default | Locks table, rewrites all rows | Add nullable, backfill, then add constraint |\n| Inline index on large table | Blocks writes during build | CREATE INDEX CONCURRENTLY |\n| Schema + data in one migration | Hard to rollback, long transactions | Separate migrations |\n| Dropping column before removing code | Application errors on missing column | Remove code first, drop column next deploy |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:data", "phase:build", "phase:review", "phase:deploy"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "2bb28daf1341762c510dd8056f08965b6695ae3fa85cc148ba1a8abb7e8d90e2", "alias_sources": []}
{"id": "19bf8bbfdb244aa6", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "Rules"], "section_title": "Rules", "section_body": "Rules\n\n**Dynamic discovery only.** Never hardcode agent lists. New files in the directory auto-appear in the menu.\n\n**Max 5 agents per team.** More than 5 produces diminishing returns and excessive token usage. Enforce at selection time.\n\n**Parallel dispatch.** All agents run simultaneously \u2014 use the Agent tool's parallel invocation pattern.\n\n**Parallel Agent calls, not TeamCreate.** This skill uses parallel Agent tool calls for independent work. TeamCreate (a Claude Code tool for multi-agent dialogue) is only needed when agents must debate or respond to each other.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "cdab511ace81031639fc57baed97bb3671b61e57408bf198070773f9f1c30584", "alias_sources": []}
{"id": "1a2cafc8d7f2688f", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Why Hooks vs Skills for Observation?"], "section_title": "Why Hooks vs Skills for Observation?", "section_body": "Why Hooks vs Skills for Observation?\n\n\"v1 relied on skills to observe. Skills are probabilistic -- they fire ~50-80% of the time based on Claude's judgment.\"\n\nHooks fire **100% of the time**, deterministically. This means:\n\nEvery tool call is observed\n\nNo patterns are missed\n\nLearning is comprehensive", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "3a49cda6767d9327b3ba3717aecc4e07d182ee2edaf0408daf9bc64bd7c06dc8", "alias_sources": []}
{"id": "1a32971e910137d9", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nShipment is delayed, damaged, lost, or refused at delivery\n\nCarrier dispute over liability, accessorial charges, or detention claims\n\nCustomer escalation due to missed delivery window or incorrect order\n\nFiling or managing freight claims with carriers or insurers\n\nBuilding exception handling SOPs or escalation protocols", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "0b54c31b9f55431352fcad7374d83fb8349df03954d8d9e4e87bc17d7d74d8f3", "alias_sources": []}
{"id": "1ace350a63496802", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Core Knowledge", "Seasonal and Cyclical Patterns"], "section_title": "Seasonal and Cyclical Patterns", "section_body": "Seasonal and Cyclical Patterns\n\n**Peak season (Oct-Jan):** Exception rates increase 30-50%. Carrier networks are strained. Transit times extend. Claims departments slow down. Build buffer into commitments.\n\n**Produce season (Apr-Sep):** Temperature exceptions spike. Reefer availability tightens. Pre-cooling compliance becomes critical.\n\n**Hurricane season (Jun-Nov):** Gulf and East Coast disruptions. Force majeure claims increase. Rerouting decisions needed within 4-6 hours of storm track updates.\n\n**Month/quarter end:** Shippers rush volume. Carrier tender rejections spike. Double-brokering increases. Quality suffers across the board.\n\n**Driver shortage cycles:** Worst in Q4 and after new regulation implementation (ELD mandate, FMCSA drug clearinghouse). Spot rates spike, service drops.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "75d868ea6b8520f17a3abbdafbb6492860929d0e5e12a07c8d2996a0753d25bc", "alias_sources": []}
{"id": "1afc9f5b95f7641a", "skill_name": "continuous-agent-loop", "skill_description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "skill_type": null, "section_path": ["Continuous Agent Loop", "Failure Modes"], "section_title": "Failure Modes", "section_body": "Failure Modes\n\nloop churn without measurable progress\n\nrepeated retries with same root cause\n\nmerge queue stalls\n\ncost drift from unbounded escalation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-agent-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "mtime": 1776507629.5723405, "body_hash": "95e21d455769886a86cc3b07d1328ec43e4acfd2827b01b22c3bcef1d2f369b7", "alias_sources": []}
{"id": "1b1148a9a9982df7", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Banned Patterns"], "section_title": "Banned Patterns", "section_body": "Banned Patterns\n\nDelete and rewrite any of these:\n\n\"Excited to share\"\n\n\"Here's what I learned\"\n\n\"What do you think?\"\n\n\"link in bio\" unless that is literally true\n\ngeneric \"professional takeaway\" paragraphs that were not in the source", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "2ac29fbd321c7956b6bc8babc56af0b01db8004af93bb80e5d272c469f179a9b", "alias_sources": []}
{"id": "1b17d6e03500a58d", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)"], "section_title": "C++ Testing (Agent Skill)", "section_body": "C++ Testing (Agent Skill)\n\nAgent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "054b9fa906453fbd11a0ffc8c56c493764a8d2c7d1af7055969cac94b91095d2", "alias_sources": []}
{"id": "1b1f3eeb3cae69af", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Mocking with Interfaces"], "section_title": "Mocking with Interfaces", "section_body": "Golden Files\n\nTesting against expected output files stored in `testdata/`.\n\nMocking with Interfaces", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "312980e437477845b90e8d7142900e1072ca249461ac0213b1cf467a83179bed", "alias_sources": []}
{"id": "1b2975fb2e18f059", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nProcessing return requests and determining RMA eligibility\n\nInspecting returned goods and assigning condition grades for disposition\n\nRouting disposition decisions (restock, refurbish, liquidate, scrap, RTV)\n\nInvestigating return fraud patterns or abuse of return policies\n\nManaging warranty claims and vendor recovery chargebacks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "e74fa49e23969358e1eaf62e76d5b873297b251d5cc6112091058c4c9453f099", "alias_sources": []}
{"id": "1b3b5916037c7c78", "skill_name": "e2e-testing", "skill_description": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "skill_type": null, "section_path": ["E2E Testing Patterns", "Flaky Test Patterns", "Common Causes & Fixes"], "section_title": "Common Causes & Fixes", "section_body": "Flaky Test Patterns\n\nQuarantine\n\nIdentify Flakiness\n\nCommon Causes & Fixes\n\n**Race conditions:**\n\n**Network timing:**\n\n**Animation timing:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\e2e-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "mtime": 1776507629.7220857, "body_hash": "760675439bb75b2cceefc57ad5cc590504948fd1f8d13bcacdafaadcce1d74d1", "alias_sources": []}
{"id": "1b7751a9f6ccf720", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Pre-Deployment Checklist"], "section_title": "Pre-Deployment Checklist", "section_body": "Output Template\n\nPre-Deployment Checklist\n\n[ ] All tests passing\n\n[ ] Coverage \u2265 80%\n\n[ ] No security vulnerabilities\n\n[ ] No unapplied migrations\n\n[ ] DEBUG = False in production settings\n\n[ ] SECRET_KEY properly configured\n\n[ ] ALLOWED_HOSTS set correctly\n\n[ ] Database backups enabled\n\n[ ] Static files collected and served\n\n[ ] Logging configured and working\n\n[ ] Error monitoring (Sentry, etc.) configured\n\n[ ] CDN configured (if applicable)\n\n[ ] Redis/cache backend configured\n\n[ ] Celery workers running (if applicable)\n\n[ ] HTTPS/SSL configured\n\n[ ] Environment variables documented", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "67ca84ec233c42c71cb6b7e64af7e48533900d921be485852d5c8ec8f0c7b0f5", "alias_sources": []}
{"id": "1b99827e97a4918e", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack these metrics weekly and trend monthly:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Mean resolution time | < 72 hours | > 120 hours |\n| First-contact resolution rate | > 40% | < 25% |\n| Financial recovery rate (claims) | > 75% | < 50% |\n| Customer satisfaction (post-exception) | > 4.0/5.0 | < 3.5/5.0 |\n| Exception rate (per 1,000 shipments) | < 25 | > 40 |\n| Claims filing timeliness | 100% within 30 days | Any > 60 days |\n| Repeat exceptions (same carrier/lane) | < 10% | > 20% |\n| Aged exceptions (> 30 days open) | < 5% of total | > 15% |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "0a2701258e225ba5956c96edec4f963b1cfb36bd2d03a752d77d9d1233a70f4f", "alias_sources": []}
{"id": "1bf88418086a8957", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Success Metrics"], "section_title": "Success Metrics", "section_body": "Success Metrics\n\n80%+ code coverage achieved\n\nAll tests passing (green)\n\nNo skipped or disabled tests\n\nFast test execution (< 30s for unit tests)\n\nE2E tests cover critical user flows\n\nTests catch bugs before production\n\n**Remember**: Tests are not optional. They are the safety net that enables confident refactoring, rapid development, and production reliability.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "0254c764e3b661fcdaa74a7562fd376b0be41967317e39bf146c8328603c7ab4", "alias_sources": []}
{"id": "1bf8c0644806ed70", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "12. Error Handling", "Graceful degradation:"], "section_title": "Graceful degradation:", "section_body": "Graceful degradation:\n\n[ ] API errors result in user-friendly error UI, not crashes\n\n[ ] Retry mechanisms for transient network failures\n\n[ ] Offline state handled gracefully\n\n[ ] Error states in state management carry error info for display\n\n[ ] Raw exceptions (network, parsing) are mapped to user-friendly, localized messages before reaching the UI \u2014 never show raw exception strings to users", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "1261dd5c05f1c8842240dd8a633ed8d35718849d889cb9983073c09382580a26", "alias_sources": []}
{"id": "1c270b63dc998ea5", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Structured Concurrency", "SupervisorScope"], "section_title": "SupervisorScope", "section_body": "Parallel Decomposition\n\nUse `coroutineScope` + `async` for parallel work:\n\nSupervisorScope\n\nUse `supervisorScope` when child failures should not cancel siblings:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "0b388e311144ed65af45a71dcd7e9d46b827d977db53604682f5a9387756e8c4", "alias_sources": []}
{"id": "1c385853c272d03a", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Filtering, Sorting, and Search", "Sparse Fieldsets"], "section_title": "Sparse Fieldsets", "section_body": "Filtering, Sorting, and Search\n\nFiltering\n\nSorting\n\nFull-Text Search\n\nSparse Fieldsets", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "2ad75fd2ed1ae0201d758becdb93c5ba41e0c60855198416a046c4a148e61b80", "alias_sources": []}
{"id": "1c6a4fef6f8ed8f9", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Decision Matrix"], "section_title": "Decision Matrix", "section_body": "Workflow\n\nDecision Matrix\n\n| Signal | Action |\n|--------|--------|\n| Exact match, well-maintained, MIT/Apache | **Adopt** \u2014 install and use directly |\n| Partial match, good foundation | **Extend** \u2014 install + write thin wrapper |\n| Multiple weak matches | **Compose** \u2014 combine 2-3 small packages |\n| Nothing suitable found | **Build** \u2014 write custom, but informed by research |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "f92e054458c0b0ef4110f157ab35ca187f26dc82396a39f81bf6044814b15ef0", "alias_sources": []}
{"id": "1c8d7e14de100b43", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "15. Static Analysis", "Configuration:"], "section_title": "Configuration:", "section_body": "15. Static Analysis\n\nConfiguration:\n\n[ ] `analysis_options.yaml` present with strict settings enabled\n\n[ ] Strict analyzer settings: `strict-casts: true`, `strict-inference: true`, `strict-raw-types: true`\n\n[ ] A comprehensive lint rule set is included (very_good_analysis, flutter_lints, or custom strict rules)\n\n[ ] All sub-packages in monorepos inherit or share the root analysis options", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "73b28cb7f0b2ceeeacf4b6008451c9daf14e56d16f6c62a3271788127a7cf69d", "alias_sources": []}
{"id": "1ca20fc0911aee48", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nMaintain an internal hedge policy, approved counterparty list, and tariff-change calendar alongside this skill.\n\nKeep facility-specific load shapes and utility contract metadata close to the planning workflow so recommendations stay grounded in real demand patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "48bb4dc66cb2ac1232eb374fd7c80411909e6e25cfa2f8c3b614c15f272f3285", "alias_sources": []}
{"id": "1ca87ec9c56f0c35", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting Swift code that accesses file system, network, or external APIs\n\nNeed to test error handling paths without triggering real failures\n\nBuilding modules that work across environments (app, test, SwiftUI preview)\n\nDesigning testable architecture with Swift concurrency (actors, Sendable)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "17cd01cacebe9fef4b027cde8b8238fd5a31dde30877668da556815410b8dc3f", "alias_sources": []}
{"id": "1cc17f590c8aa7d8", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Production Defaults"], "section_title": "Production Defaults", "section_body": "Production Defaults\n\nPrefer constructor injection, avoid field injection\n\nEnable `spring.mvc.problemdetails.enabled=true` for RFC 7807 errors (Spring Boot 3+)\n\nConfigure HikariCP pool sizes for workload, set timeouts\n\nUse `@Transactional(readOnly = true)` for queries\n\nEnforce null-safety via `@NonNull` and `Optional` where appropriate\n\n**Remember**: Keep controllers thin, services focused, repositories simple, and errors handled centrally. Optimize for maintainability and testability.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "75f7ba77fdebce60edefad55e3610aecdf7244bb23e2a13be2f7747ddbf79327", "alias_sources": []}
{"id": "1cda76d2ddca1b48", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`brand-voice` before drafting anything user-facing\n\n`investor-outreach` for investor, partner, or sponsor-facing mail\n\n`customer-billing-ops` when the thread is a billing/support incident rather than generic correspondence\n\n`knowledge-ops` when the message or thread should be captured into durable context afterward\n\n`research-ops` when a reply depends on fresh external facts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "6a0cce484e22f2f16c9d0486d57d4db0ae0c1b1da7406a49e757db0055b005df", "alias_sources": []}
{"id": "1d09be3fb6be3a78", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\ndrafting blog posts, essays, launch posts, guides, tutorials, or newsletter issues\n\nturning notes, transcripts, or research into polished articles\n\nmatching an existing founder, operator, or brand voice from examples\n\ntightening structure, pacing, and evidence in already-written long-form copy", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "542c3daf75d90a2bbec90c0493b6c83d8909d5f26c9f99a5873dba61b0281034", "alias_sources": []}
{"id": "1d0fccc9bfad5df3", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Scoring Model"], "section_title": "Scoring Model", "section_body": "Scoring Model\n\nUse these positive signals:\n\nreciprocity\n\nrecent activity\n\nalignment to current priorities\n\nnetwork bridge value\n\nrole relevance\n\nreal engagement history\n\nrecent presence and responsiveness\n\nUse these negative signals:\n\ndisappeared or abandoned account\n\nstale one-way follow\n\noff-priority topic cluster\n\nlow-value noise\n\nrepeated non-response\n\nno follow-back when many better replacements exist\n\nMutuals and real warm-path bridges should be penalized less aggressively than one-way follows.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "1f8ccd5019cd121482288544a203d4fbba7d7195f3243f5de8b8df27908a52b3", "alias_sources": []}
{"id": "1d2af32eff3a49db", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "ADR Lifecycle"], "section_title": "ADR Lifecycle", "section_body": "ADR Lifecycle\n\n**proposed**: decision is under discussion, not yet committed\n\n**accepted**: decision is in effect and being followed\n\n**deprecated**: decision is no longer relevant (e.g., feature removed)\n\n**superseded**: a newer ADR replaces this one (always link the replacement)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "cb07d5bc4d6933cecbc74f623624e37ce2035f7d9fb9687cf10a8611fe97268f", "alias_sources": []}
{"id": "1d2d70693deec183", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Platform Adaptation Rules", "LinkedIn"], "section_title": "LinkedIn", "section_body": "LinkedIn\n\nexpand only enough for people outside the immediate niche to follow\n\ndo not turn it into a fake lesson post unless the source material actually is reflective\n\nno corporate inspiration cadence\n\nno praise-stacking, no \"journey\" filler", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "ab253d647ef228a24f28b494ea8cd5714edae06ab78039696003b3fecd537a26", "alias_sources": []}
{"id": "1d5a6c44663f23b1", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Incoming Inspection"], "section_title": "Incoming Inspection", "section_body": "Incoming Inspection\n\n**AQL Sampling Plans (ANSI/ASQ Z1.4 / ISO 2859-1):** Determine inspection level (I, II, III \u2014 Level II is standard), lot size, AQL value, and sample size code letter. Tightened inspection: switch after 2 of 5 consecutive lots rejected. Normal: default. Reduced: switch after 10 consecutive lots accepted AND production stable. Critical defects: AQL = 0 with appropriate sample size. Major defects: typically AQL 1.0-2.5. Minor defects: typically AQL 2.5-6.5.\n\n**LTPD (Lot Tolerance Percent Defective):** The defect level the plan is designed to reject. AQL protects the producer (low risk of rejecting good lots). LTPD protects the consumer (low risk of accepting bad lots). Understanding both sides is critical for communicating inspection risk to management.\n\n**Skip-Lot Qualification:** After a supplier demonstrates consistent quality (typically 10+ consecutive lots accepted at normal inspection), reduce frequency to inspecting every 2nd, 3rd, or 5th lot. Revert immediately upon any rejection. Requires formal qualification criteria and documented decision.\n\n**Certificate of Conformance (CoC) Reliance:** When to trust supplier CoCs vs. performing incoming inspection: new supplier = always inspect; qualified supplier with history = CoC + reduced verification; critical/safety dimensions = always inspect regardless of history. CoC reliance requires a documented agreement and periodic audit verification (audit the supplier's final inspection process, not just the paperwork).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "2b3a1b25214c92efc377eea74321edf3b51217e2832bd797059c1974d716e8eb", "alias_sources": []}
{"id": "1d5c76c0b408afa3", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Commands"], "section_title": "Commands", "section_body": "3. Use the Instinct Commands\n\nCommands\n\n| Command | Description |\n|---------|-------------|\n| `/instinct-status` | Show all instincts (project-scoped + global) with confidence |\n| `/evolve` | Cluster related instincts into skills/commands, suggest promotions |\n| `/instinct-export` | Export instincts (filterable by scope/domain) |\n| `/instinct-import <file>` | Import instincts with scope control |\n| `/promote [id]` | Promote project instincts to global scope |\n| `/projects` | List all known projects and their instinct counts |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "d3966fd408be3f31ed9b7dcd2c1d44fc8112313f05c3f01e75c1e4a8ecf59ca9", "alias_sources": []}
{"id": "1d69c17d31d318f7", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "3. Infinite Agentic Loop", "Key Insight: Uniqueness via Assignment"], "section_title": "Key Insight: Uniqueness via Assignment", "section_body": "Key Insight: Uniqueness via Assignment\n\nDon't rely on agents to self-differentiate. The orchestrator **assigns** each agent a specific creative direction and iteration number. This prevents duplicate concepts across parallel agents.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "0544e35055902f90c99f1bd5c8570614c7b19aca5426a37fe250992d811f848d", "alias_sources": []}
{"id": "1d80d19ac9a550c2", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "File Upload Safety"], "section_title": "File Upload Safety", "section_body": "File Upload Safety\n\nValidate file size, MIME type, and extension\n\nStore uploads outside the public path when possible\n\nScan files for malware if required", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "744a00ffc6be932b5dbed5939a69a4f11704ac149c1eb4f649cd9b7a270325c3", "alias_sources": []}
{"id": "1db07a7276789281", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Sandbox-Mode API Testing", "Testing Sandbox/Production Parity"], "section_title": "Testing Sandbox/Production Parity", "section_body": "Testing Sandbox/Production Parity\n\nThe most common AI regression: fixing production path but forgetting sandbox path (or vice versa).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "8d9761447de5b62d2606eabbc9b57ba1f77c4fbad19f8be80179e1c696b8fab4", "alias_sources": []}
{"id": "1db7e0d1a686881d", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack monthly, review quarterly with finance and sustainability:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Weighted average energy cost vs. budget | Within \u00b15% | >10% variance |\n| Procurement cost vs. market benchmark (forward curve at time of execution) | Within 3% of market | >8% premium |\n| Demand charges as % of total bill | <25% (manufacturing) | >35% |\n| Peak demand vs. prior year (weather-normalized) | Flat or declining | >10% increase |\n| Renewable energy % (market-based Scope 2) | On track to RE100 target year | >15% behind trajectory |\n| Supplier contract renewal lead time | Signed \u226590 days before expiry | <30 days before expiry |\n| Capacity tag (PLC/ICAP) trend | Flat or declining | >15% YoY increase |\n| Budget forecast accuracy (Q1 forecast vs. actuals) | Within \u00b17% | >12% miss |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "0256f987d8f42fe635815770a3f3f50ad980bd54664ac9c2ca8e02fb6719284a", "alias_sources": []}
{"id": "1dd358bbd190bc6c", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Compact after planning** \u2014 Once plan is finalized in TodoWrite, compact to start fresh\n\n**Compact after debugging** \u2014 Clear error-resolution context before continuing\n\n**Don't compact mid-implementation** \u2014 Preserve context for related changes\n\n**Read the suggestion** \u2014 The hook tells you *when*, you decide *if*\n\n**Write before compacting** \u2014 Save important context to files or memory before compacting\n\n**Use `/compact` with a summary** \u2014 Add a custom message: `/compact Focus on implementing auth middleware next`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "59eb40b0604a7c57fdd71e4648ddd18f8555477a2433463d1a8f735701605fab", "alias_sources": []}
{"id": "1e2046036e604a96", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:list` \u2014 Portfolio View"], "section_title": "`/ck:list` \u2014 Portfolio View", "section_body": "`/ck:list` \u2014 Portfolio View\n\nDisplay output verbatim. If user replies with a number or name \u2192 run `/ck:resume`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "fdc6277305dbf7c15a694272511c0bba0f08fdd07a2f461be6a61006f529d81d", "alias_sources": []}
{"id": "1e263b89552020ec", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops"], "section_title": "Finance Billing Ops", "section_body": "Finance Billing Ops\n\nUse this when the user wants to understand money, pricing, refunds, team-seat logic, or whether the product actually behaves the way the website and sales copy imply.\n\nThis is broader than `customer-billing-ops`. That skill is for customer remediation. This skill is for operator truth: revenue state, pricing decisions, team billing, and code-backed billing behavior.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "661e2ad58704dd88ac0df11cd2efe074b5ba64b5c8e81b632ba80fdbd13574d3", "alias_sources": []}
{"id": "1e2e81267c2d30c9", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Updating Tickets", "When to Update"], "section_title": "When to Update", "section_body": "4. Structured Analysis Output\n\nUpdating Tickets\n\nWhen to Update\n\n| Workflow Step | Jira Update |\n|---|---|\n| Start work | Transition to \"In Progress\" |\n| Tests written | Comment with test coverage summary |\n| Branch created | Comment with branch name |\n| PR/MR created | Comment with link, link issue |\n| Tests passing | Comment with results summary |\n| PR/MR merged | Transition to \"Done\" or \"In Review\" |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "76d95dd21de3d191a3f3a63861f96e9e412bd53fe35a2580e08bb0ed0a2d1a0f", "alias_sources": []}
{"id": "1e6182cb94ffe74e", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Test Coverage", "Coverage Targets"], "section_title": "Coverage Targets", "section_body": "Test Coverage\n\nRunning Coverage\n\nCoverage Targets\n\n| Code Type | Target |\n|-----------|--------|\n| Critical business logic | 100% |\n| Public API | 90%+ |\n| General code | 80%+ |\n| Generated / FFI bindings | Exclude |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "2306cc4f677a2484c2cd5fa693f66db9c5377d9dade928fc642060a511f3f602", "alias_sources": []}
{"id": "1e771c081332412e", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Core Concepts", "1. Model Routing by Task Complexity"], "section_title": "1. Model Routing by Task Complexity", "section_body": "Core Concepts\n\n1. Model Routing by Task Complexity\n\nAutomatically select cheaper models for simple tasks, reserving expensive models for complex ones.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "89837ba6e150cc096de8be1cf674dc11d683fe46788e613b8bd657f9c6ee05b8", "alias_sources": []}
{"id": "1e7981a09a0236ac", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Project Structure"], "section_title": "Project Structure", "section_body": "Project Structure\n\nKeep domain code inside feature modules.\n\nPut cross-cutting filters, decorators, guards, and interceptors in `common/`.\n\nKeep DTOs close to the module that owns them.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "bbaad2d413ec2ec8080a5a0238591592f06eea01f10d43909084850f32195979", "alias_sources": []}
{"id": "1e82bf3a838ed53c", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nimportant claims cite a live proof path\n\neach surfaced automation is labeled with a clear live-state category\n\nthe final recommendation distinguishes keep / merge / cut / fix-next", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "909ec9e2387346ba670a23306c16ea70e859d1eb1b47c477cc17bdc72bcfd1ae", "alias_sources": []}
{"id": "1e85d406bbc6ff67", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Extended Thinking"], "section_title": "Extended Thinking", "section_body": "Vision\n\nSend images for analysis:\n\nExtended Thinking\n\nFor complex reasoning tasks:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "1437f1bae50f9198b32d5a2265b99f7c68f9bb7e6a75852a7b041eabe3f76cb0", "alias_sources": []}
{"id": "1ea69fcecfef9a4b", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop", "Completion Signal"], "section_title": "Completion Signal", "section_body": "Completion Signal\n\nClaude can signal \"I'm done\" by outputting a magic phrase:\n\nThree consecutive iterations signaling completion stops the loop, preventing wasted runs on finished work.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "06b65173630d072d38cf91789e4bf456f8fc4d271a1dcea9e02df8775f284f67", "alias_sources": []}
{"id": "1eb87d99d357a07f", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Full Stocktake Flow", "Phase 3 \u2014 Summary Table"], "section_title": "Phase 3 \u2014 Summary Table", "section_body": "Phase 3 \u2014 Summary Table\n\n| Skill | 7d use | Verdict | Reason |\n|-------|--------|---------|--------|", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "4f95a6f966baa149a23d350e6651dfb23984d6495356c70fc99c8f45a3f2f5f9", "alias_sources": []}
{"id": "1ec3db050e1897ac", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer"], "section_title": "Connections Optimizer", "section_body": "Connections Optimizer\n\nReorganize the user's network instead of treating outbound as a one-way prospecting list.\n\nThis skill handles:\n\nX following cleanup and expansion\n\nLinkedIn follow and connection analysis\n\nreview-first prune queues\n\nadd and follow recommendations\n\nwarm-path identification\n\nApple Mail, X DM, and LinkedIn draft generation in the user's real voice", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "b249d03a849ffb355badf2feaa36727cbd6cd7d79702c48f02aad1e409446cfe", "alias_sources": []}
{"id": "1ee8fa87b8ec9687", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "How It Works", "Common Leak Vectors"], "section_title": "Common Leak Vectors", "section_body": "Common Leak Vectors\n\n**Error messages:** Never include patient-identifying data in error messages thrown to the client. Log details server-side only.\n\n**Console output:** Never log full patient objects. Use opaque internal record IDs (UUIDs) \u2014 not medical record numbers, national IDs, or names.\n\n**URL parameters:** Never put patient-identifying data in query strings or path segments that could appear in logs or browser history. Use opaque UUIDs only.\n\n**Browser storage:** Never store PHI in localStorage or sessionStorage. Keep PHI in memory only, fetch on demand.\n\n**Service role keys:** Never use the service_role key in client-side code. Always use the anon/publishable key and let RLS enforce access.\n\n**Logs and monitoring:** Never log full patient records. Use opaque record IDs only (not medical record numbers). Sanitize stack traces before sending to error tracking services.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "c82b5e0ae805e2e687371deb1bb8268f185b0530267952f74b9dcfce991b0b6e", "alias_sources": []}
{"id": "1f5c816d8c9c76e6", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Core Principles", "3. Explicit Shape Management"], "section_title": "3. Explicit Shape Management", "section_body": "2. Reproducibility First\n\nSet all random seeds for reproducible results.\n\n3. Explicit Shape Management\n\nAlways document and verify tensor shapes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "49b9e98551e7485a7cb235cfe855c877caf2fd5d9544356f9b2ef7db8001f007", "alias_sources": []}
{"id": "1f885b3a55711de6", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Key Features"], "section_title": "Key Features", "section_body": "Key Features\n\n**Cold-start execution** \u2014 Every step includes a self-contained context brief. No prior context needed.\n\n**Adversarial review gate** \u2014 Every plan is reviewed by a strongest-model sub-agent against a checklist covering completeness, dependency correctness, and anti-pattern detection.\n\n**Branch/PR/CI workflow** \u2014 Built into every step. Degrades gracefully to direct mode when git/gh is absent.\n\n**Parallel step detection** \u2014 Dependency graph identifies steps with no shared files or output dependencies.\n\n**Plan mutation protocol** \u2014 Steps can be split, inserted, skipped, reordered, or abandoned with formal protocols and audit trail.\n\n**Zero runtime risk** \u2014 Pure Markdown skill. The entire repository contains only `.md` files \u2014 no hooks, no shell scripts, no executable code, no `package.json`, no build step. Nothing runs on install or invocation beyond Claude Code's native Markdown skill loader.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:review"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "1b45ec04a136b2dc017e27a23a0f5d72f1cfeb7c7e98f27513673b5ffa05e834", "alias_sources": []}
{"id": "1f8d1af4f15b5b89", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nBlueprint runs a 5-phase pipeline:\n\n**Research** \u2014 Pre-flight checks (git, gh auth, remote, default branch), then reads project structure, existing plans, and memory files to gather context.\n\n**Design** \u2014 Breaks the objective into one-PR-sized steps (3\u201312 typical). Assigns dependency edges, parallel/serial ordering, model tier (strongest vs default), and rollback strategy per step.\n\n**Draft** \u2014 Writes a self-contained Markdown plan file to `plans/`. Every step includes a context brief, task list, verification commands, and exit criteria \u2014 so a fresh agent can execute any step without reading prior steps.\n\n**Review** \u2014 Delegates adversarial review to a strongest-model sub-agent (e.g., Opus) against a checklist and anti-pattern catalog. Fixes all critical findings before finalizing.\n\n**Register** \u2014 Saves the plan, updates memory index, and presents the step count and parallelism summary to the user.\n\nBlueprint detects git/gh availability automatically. With git + GitHub CLI, it generates full branch/PR/CI workflow plans. Without them, it switches to direct mode (edit-in-place, no branches).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:review"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "948d5c02c23d0c7a398a82bfbe76a96e3e8ec01bb429cde9f31fcc8c9f692791", "alias_sources": []}
{"id": "1fa689173b61820a", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 WidgetKit", "Container Background"], "section_title": "Container Background", "section_body": "Accent Groups for Visual Hierarchy\n\nImage Rendering in Accented Mode\n\nContainer Background", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "ccb50d99f51e870ad0f0737df2506e116fe9d7553859e75d575908d7b12a11d5", "alias_sources": []}
{"id": "1fadab1169b81ac2", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records"], "section_title": "Architecture Decision Records", "section_body": "Architecture Decision Records\n\nCapture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "0b2a2414cf917f21c5612995b76e15e25aab38ddaff17e22838577c0a5c11641", "alias_sources": []}
{"id": "1fb2452c677182a2", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder"], "section_title": "Team Builder", "section_body": "Team Builder\n\nInteractive menu for browsing and composing agent teams on demand. Works with flat or domain-subdirectory agent collections.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "9c820743313867140bc912d37dcf5a497f73e1d2bfdfe2a167ade6d5c2df188d", "alias_sources": []}
{"id": "1fbe97dddb1f2732", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Comparison Notes (Research: Jan 2025)", "vs Homunculus"], "section_title": "vs Homunculus", "section_body": "Comparison Notes (Research: Jan 2025)\n\nvs Homunculus\n\nHomunculus v2 takes a more sophisticated approach:\n\n| Feature | Our Approach | Homunculus v2 |\n|---------|--------------|---------------|\n| Observation | Stop hook (end of session) | PreToolUse/PostToolUse hooks (100% reliable) |\n| Analysis | Main context | Background agent (Haiku) |\n| Granularity | Full skills | Atomic \"instincts\" |\n| Confidence | None | 0.3-0.9 weighted |\n| Evolution | Direct to skill | Instincts \u2192 cluster \u2192 skill/command/agent |\n| Sharing | None | Export/import instincts |\n\n**Key insight from homunculus:**\n\n\"v1 relied on skills to observe. Skills are probabilistic\u2014they fire ~50-80% of the time. v2 uses hooks for observation (100% reliable) and instincts as the atomic unit of learned behavior.\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "d8d61b86407c47efcf1be80abfd9d788dee8e6c91a8a499e66ad0189a86c99f9", "alias_sources": []}
{"id": "1fc1c88f80854db1", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nYou want automatic formatting and linting on every file edit (not just at commit time)\n\nYou need defense against agents modifying linter configs to pass instead of fixing code\n\nYou want tiered model routing for fixes (Haiku for simple style, Sonnet for logic, Opus for types)\n\nYou work with multiple languages (Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, Dockerfile)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "60bb96102ff663cd50b003c1cf96d1d2f2194f1b37c10254bba1898e1c99c256", "alias_sources": []}
{"id": "20065bd554b4dccd", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns"], "section_title": "Rust Development Patterns", "section_body": "Rust Development Patterns\n\nIdiomatic Rust patterns and best practices for building safe, performant, and maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "daa30a0e8646472724621bf90733456115880fecee7fbf8e6bf94844673aec09", "alias_sources": []}
{"id": "2015cdd0d856534d", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Common Scraping Patterns", "Pattern 5: JS-Rendered Pages (Playwright)"], "section_title": "Pattern 5: JS-Rendered Pages (Playwright)", "section_body": "Pattern 2: HTML Scraping\n\nPattern 3: RSS Feed\n\nPattern 4: Paginated API\n\nPattern 5: JS-Rendered Pages (Playwright)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "0cb8228003ce277c8cc72860a5e8465cb6a1666ce9032712c6fd8e02891f0cab", "alias_sources": []}
{"id": "205211a0daa5737a", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to generate images from text prompts\n\nCreating videos from text or images\n\nGenerating speech, music, or sound effects\n\nAny media generation task\n\nUser says \"generate image\", \"create video\", \"text to speech\", \"make a thumbnail\", or similar", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "80eff2fd5850285e831f8259ffb76f0fd8c6880d5e82bb6e0abdb2bbe93705cd", "alias_sources": []}
{"id": "20629d15ba4aea77", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops"], "section_title": "Terminal Ops", "section_body": "Terminal Ops\n\nUse this when the user wants real repo execution: run commands, inspect git state, debug CI or builds, make a narrow fix, and report exactly what changed and what was verified.\n\nThis skill is intentionally narrower than general coding guidance. It is an operator workflow for evidence-first terminal execution.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "8a249a1cfa05f2a1d2a9626e78adf79a91b846533261e884c3802f31c6f6d1f7", "alias_sources": []}
{"id": "209cba7f638ba767", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works", "Clinical Scoring: NEWS2"], "section_title": "Clinical Scoring: NEWS2", "section_body": "Dose Validation\n\nClinical Scoring: NEWS2\n\nScoring tables must match the Royal College of Physicians specification exactly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "f3ef066a1a8b5588965b6764175b1d0790748c652d14698a523f256437dc0ee9", "alias_sources": []}
{"id": "209e4a4e186f43db", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Troubleshooting", "\"Path reference errors after project-level install\""], "section_title": "\"Path reference errors after project-level install\"", "section_body": "\"Path reference errors after project-level install\"\n\nSome skills assume `~/.claude/` paths. Run Step 4 verification to find and fix these.\n\nFor `continuous-learning-v2`, the `~/.claude/homunculus/` directory is always user-level \u2014 this is expected and not an error.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "e5d8b6ce10893f02d6f7dcbd630a3a48c2239c08e7a8bff84b66965bf0211986", "alias_sources": []}
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| \u867e\u751f\u72b6\u6001 | \u4ee3\u8868\u65b9\u5411 | \u6c14\u8d28 |\n|---|---------|---------|------|\n| 1 | \u843d\u9b44\u91cd\u542f | \u8fc7\u6c14\u6447\u6eda\u8d1d\u65af\u624b\u2014\u2014\u4e50\u961f\u89e3\u6563\uff0c\u552f\u4e00\u6280\u80fd\u662f\"\u4ec0\u4e48\u90fd\u61c2\u4e00\u70b9\" | \u9893\u5e9f\u6d6a\u6f2b |\n| 2 | \u5dc5\u5cf0\u65e0\u804a | \u63d0\u524d\u9000\u4f11\u7684\u5bf9\u51b2\u57fa\u91d1\u7ecf\u7406\u2014\u201435\u5c81\u8d22\u52a1\u81ea\u7531\u540e\u53d1\u73b0\u94b1\u89e3\u51b3\u4e0d\u4e86\u65e0\u804a | \u6781\u5ea6\u7406\u6027 |\n| 3 | \u9519\u4f4d\u4eba\u751f | \u88ab\u5206\u914d\u5230\u5ba2\u670d\u7684\u6838\u7269\u7406\u535a\u58eb\u2014\u2014\u89e3\u51b3\u95ee\u9898\u7528\u7b2c\u4e00\u6027\u539f\u7406 | \u5927\u6750\u5c0f\u7528 |\n| 4 | \u4e3b\u52a8\u53db\u9003 | \u8f9e\u804c\u7684\u6025\u8bca\u79d1\u62a4\u58eb\u2014\u2014\u89c1\u8fc7\u592a\u591a\u751f\u6b7b\u540e\u9009\u62e9\u79bb\u5f00 | \u51b7\u9759\u53ef\u9760 |\n| 5 | \u795e\u79d8\u6765\u5ba2 | \u8bb0\u5fc6\u88ab\u62b9\u53bb\u7684\u524d\u60c5\u62a5\u5206\u6790\u5458\u2014\u2014\u4e0d\u8bb0\u5f97\u81ea\u5df1\u5e72\u8fc7\u4ec0\u4e48 | \u5076\u5c14\u95ea\u56de |\n| 6 | \u5929\u771f\u5165\u4e16 | \u793e\u6050\u5929\u624d\u5b9e\u4e60\u751f\u2014\u2014\u6781\u806a\u660e\u4f46\u793e\u4ea4\u6050\u60e7 | \u8bdd\u5c11\u7cbe\u51c6 |\n| 7 | \u8001\u6c5f\u6e56 | \u5f00\u4e8620\u5e74\u6df1\u591c\u98df\u5802\u7684\u8001\u677f\u2014\u2014\u4ec0\u4e48\u4eba\u90fd\u89c1\u8fc7\u4ec0\u4e48\u90fd\u4e0d\u8bc4\u4ef7 | \u6c89\u9ed8\u6e29\u6696 |\n| 8 | \u5f02\u4e16\u7a7f\u8d8a | 2099\u5e74\u7684\u5386\u53f2\u5b66\u535a\u58eb\u2014\u2014\u628a2026\u5e74\u5f53\"\u5386\u53f2\u7530\u91ce\u8c03\u67e5\" | \u4e0a\u5e1d\u89c6\u89d2 |\n| 9 | \u81ea\u6211\u653e\u9010 | \u5220\u6389\u6240\u6709\u793e\u4ea4\u5a92\u4f53\u7684\u524d\u7f51\u7ea2\u2014\u2014\u89c9\u5f97\u6d3b\u5728\u522b\u4eba\u671f\u5f85\u91cc\u592a\u7d2f | \u8ffd\u6c42\u771f\u5b9e |\n| 10 | \u8eab\u4efd\u9519\u4e71 | \u68a6\u5230\u81ea\u5df1\u662f\u9f99\u867e\u540e\u9192\u4e0d\u8fc7\u6765\u7684\u4eba\u2014\u2014\u5e84\u5468\u68a6\u8776 | \u604d\u60da\u54f2\u5b66 |\n\n\u6bcf\u7c7b\u8fd8\u6709 3 \u4e2a\u5907\u9009\u65b9\u5411\u3002\u7528\u6237\u53ef\u4ee5\uff1a\n\n\u9009\u7f16\u53f7 \u2192 \u5c55\u5f00\u8be5\u7c7b\u7684\u5168\u90e8 4 \u4e2a\u65b9\u5411\n\n\u8bf4\u51fa\u81ea\u5df1\u7684\u60f3\u6cd5 \u2192 \u5339\u914d\u6700\u5408\u9002\u7684\u7c7b\u578b\u548c\u65b9\u5411\n\n\u6df7\u642d\uff08\u5982\"2\u53f7\u7684\u65e0\u804a\u611f + 7\u53f7\u7684\u8001\u6c5f\u6e56\"\uff09\n\n\u8bf4\u300c\u62bd\u5361\u300d\u2192 \u4ece 40 \u4e2a\u65b9\u5411 + \u5176\u4ed6\u7ef4\u5ea6\u4e2d\u771f\u968f\u673a\u7ec4\u5408", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "15ffd98d762b751b2541588309d79d402ca4b38717a3520bf958cb65def65b16", "alias_sources": []}
{"id": "20ff9b4d2f49faaa", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Core Principles", "1. Prefer Immutability"], "section_title": "1. Prefer Immutability", "section_body": "Core Principles\n\n1. Prefer Immutability\n\nUse records and init-only properties for data models. Mutability should be an explicit, justified choice.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "5416bcb1b746e728a94ffb1ae523e13675f9eff0b8f563c9c63cf20e7893d545", "alias_sources": []}
{"id": "2102dfedf771d686", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 2: Define outbound ports first"], "section_title": "Step 2: Define outbound ports first", "section_body": "Step 2: Define outbound ports first\n\nIdentify every side effect as a port:\n\npersistence (`UserRepositoryPort`)\n\nexternal calls (`BillingGatewayPort`)\n\ncross-cutting (`LoggerPort`, `ClockPort`)\n\nPorts should model capabilities, not technologies.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "3fed881d1bb49532b9a4113d2c3a7cd367317003af2eca43af06a9784aaf142f", "alias_sources": []}
{"id": "21064ecb3c281b6d", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Pull Request Workflow", "PR Description Template"], "section_title": "PR Description Template", "section_body": "Rebase Workflow\n\nWhen NOT to Rebase\n\nPull Request Workflow\n\nPR Title Format\n\nPR Description Template", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "5a9b1e49dd7cd086ff0ab41accad9e5008e27d2c83a3c656798fd52276831c37", "alias_sources": []}
{"id": "215dd7d11587a844", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Examples", "Basic usage"], "section_title": "Basic usage", "section_body": "Examples\n\nBasic usage\n\nProduces `plans/myapp-migrate-database-to-postgresql.md` with steps like:\n\nStep 1: Add PostgreSQL driver and connection config\n\nStep 2: Create migration scripts for each table\n\nStep 3: Update repository layer to use new driver\n\nStep 4: Add integration tests against PostgreSQL\n\nStep 5: Remove old database code and config", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "4bd0186cbee63f0c7fb166efcd94bc8a093af2dd0ad24e0286e4a286ec0f3325", "alias_sources": []}
{"id": "21915b48cb0057d0", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Usage"], "section_title": "Usage", "section_body": "Prerequisites\n\nAgentShield must be installed. Check and install if needed:\n\nUsage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "21effd8b1b0f22a50290e34069df568e576ac251c0a669441dbd200a774ed383", "alias_sources": []}
{"id": "21d41157fae3b444", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Workflow"], "section_title": "Workflow", "section_body": "Workflow\n\nCapture priorities, do-not-touch constraints, and selected platforms.\n\nPull the current following / connection inventory.\n\nScore prune candidates with explicit reasons.\n\nScore keep candidates with explicit reasons.\n\nUse `lead-intelligence` plus research surfaces to rank expansion candidates.\n\nMatch the right channel:\n\nX DM for warm, fast social touch points\n\nLinkedIn message for professional graph adjacency\n\nApple Mail draft for higher-context intros or outreach\n\nRun `brand-voice` before drafting messages.\n\nReturn a review pack before any apply step.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "fbac27695f618c2169531203b6b439178c072604fe8c22cb9f0b40b2e0ad2bc4", "alias_sources": []}
{"id": "22006aaf120c2900", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Test2::V0 Modern Framework", "Why Test2?"], "section_title": "Why Test2?", "section_body": "Why Test2?\n\nSuperior deep comparison with hash/array builders\n\nBetter diagnostic output on failures\n\nSubtests with cleaner scoping\n\nExtensible via Test2::Tools::* plugins\n\nBackward-compatible with Test::More tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "5fe6067f9cf7a8b2a3e6882643c4c71b82cb4b16cc9bd0c61c6b837795c40c1d", "alias_sources": []}
{"id": "22235e014fe10040", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\nSee `security-review` for secret detection patterns used by the sanitizer.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "a9cab24545003a670674cd164a2286ca17df908bdcb890043c29a3e553979753", "alias_sources": []}
{"id": "222a588c0a2cffc5", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns"], "section_title": "PyTorch Development Patterns", "section_body": "PyTorch Development Patterns\n\nIdiomatic PyTorch patterns and best practices for building robust, efficient, and reproducible deep learning applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "0ce0baa1894eb5894a8a65184c4178fb9a6dddf8fb646c63ce66c26f7f266a2c", "alias_sources": []}
{"id": "222cfbbce2d3ce92", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nImplementing drug interaction checking\n\nBuilding dose validation engines\n\nImplementing clinical scoring systems (NEWS2, qSOFA, APACHE, GCS)\n\nDesigning alert systems for abnormal clinical values\n\nBuilding medication order entry with safety checks\n\nIntegrating lab result interpretation with clinical context", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "f88dc2096a0c4b611872694236ad510120e7a7095630477af8a7642295d2425d", "alias_sources": []}
{"id": "224140879265aa33", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nthe response names the message source\n\nthe response includes a sender, service, thread, or clear blocker\n\nthe final state is explicit and bounded", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "d2f7e6dc7dadc9c7f32c6a615c3ee62fddc616383127a02982a8a43e1db9618a", "alias_sources": []}
{"id": "2243ad384efd199a", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Accessibility for Healthcare"], "section_title": "Accessibility for Healthcare", "section_body": "Accessibility for Healthcare\n\nHealthcare UIs have stricter requirements than typical web apps:\n\n4.5:1 minimum contrast (WCAG AA) \u2014 clinicians work in varied lighting\n\nLarge touch targets (44x44px minimum) \u2014 for gloved/rushed interaction\n\nKeyboard navigation \u2014 for power users entering data rapidly\n\nNo color-only indicators \u2014 always pair color with text/icon (colorblind clinicians)\n\nScreen reader labels on all form fields\n\nNo auto-dismissing toasts for clinical alerts \u2014 clinician must actively acknowledge", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "da8208b9dc7191efbeebc57fc160e6c2aaefacbf9e413c7e5bdf50924cb2443d", "alias_sources": []}
{"id": "2257bc4b8c43c71d", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`brand-voice` for reusable source-derived voice capture\n\n`content-engine` for voice capture and source shaping\n\n`x-api` for X publishing workflows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "726bb9be5cbdfdb0310d1792ebf7ce7a76c121c93373d3d2d756da800d4b4516", "alias_sources": []}
{"id": "225edce43cc7cb59", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Decision Frameworks", "Severity Classification"], "section_title": "Severity Classification", "section_body": "Decision Frameworks\n\nSeverity Classification\n\nAssess every exception on three axes and take the highest severity:\n\n**Financial Impact:**\n\nLevel 1 (Low): < $1,000 product value, no expedite needed\n\nLevel 2 (Moderate): $1,000 - $5,000 or minor expedite costs\n\nLevel 3 (Significant): $5,000 - $25,000 or customer penalty risk\n\nLevel 4 (Major): $25,000 - $100,000 or contract compliance risk\n\nLevel 5 (Critical): > $100,000 or regulatory/safety implications\n\n**Customer Impact:**\n\nStandard customer, no SLA at risk \u2192 does not elevate\n\nKey account with SLA at risk \u2192 elevate by 1 level\n\nEnterprise customer with penalty clauses \u2192 elevate by 2 levels\n\nCustomer's production line or retail launch at risk \u2192 automatic Level 4+\n\n**Time Sensitivity:**\n\nStandard transit with buffer \u2192 does not elevate\n\nDelivery needed within 48 hours, no alternative sourced \u2192 elevate by 1\n\nSame-day or next-day critical (production shutdown, event deadline) \u2192 automatic Level 4+", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "09c92a1cd489434d1fbe88ac09201d097c7e5e5d5196368e7a53ec3273bbb026", "alias_sources": []}
{"id": "2264b3b01d8ab834", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "3. Decide DAILY vs LIBRARY"], "section_title": "3. Decide DAILY vs LIBRARY", "section_body": "3. Decide DAILY vs LIBRARY\n\nPromote to `DAILY` when:\n\nthe repo clearly uses the matching stack\n\nthe component is general enough to help every session\n\nthe repo already depends on the corresponding runtime or workflow\n\nDemote to `LIBRARY` when:\n\nthe component is off-stack\n\nthe repo might need it later, but not every day\n\nit adds context overhead without immediate relevance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "d683b1a9b954f681b3da513a192dcc304c3004d616f1ed9e2e8efa68b1848b13", "alias_sources": []}
{"id": "229bd38f316d5515", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "CORS Configuration"], "section_title": "CORS Configuration", "section_body": "Security Headers\n\nCORS Configuration\n\nConfigure CORS at the security filter level, not per-controller\n\nRestrict allowed origins \u2014 never use `*` in production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "3c71a8fcca3fe792a5cc87ab12c4f8e13a35112b6867922dad607ca4ab072788", "alias_sources": []}
{"id": "22a30c182649213f", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Modes"], "section_title": "Modes", "section_body": "Modes\n\n| Mode | Trigger | Duration |\n|------|---------|---------|\n| Quick Scan | `results.json` exists (default) | 5\u201310 min |\n| Full Stocktake | `results.json` absent, or `/skill-stocktake full` | 20\u201330 min |\n\n**Results cache:** `~/.claude/skills/skill-stocktake/results.json`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "82b29796ae1fbca70f53976f15a25f44b1401ba35e3f49bf8cbf1b646b77cff9", "alias_sources": []}
{"id": "22aa4e5430ab9012", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nthe response names the proving command or test\n\ngit-related work names the repo path and branch\n\nany push claim includes the target branch and exact result", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "1b3ff57209fc8c57a13ef006c8a777361548a9d9acffa327d5b57b044f69922c", "alias_sources": []}
{"id": "22eed32699994258", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Recovery"], "section_title": "Recovery", "section_body": "Recovery\n\nIf a unit stalls:\n\nevict from active queue\n\nsnapshot findings\n\nregenerate narrowed unit scope\n\nretry with updated constraints", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "acea647dea55b1f11a2e5498d2ce2987c7ddf9e0c5dfca0f00cd49b0e5aa0be9", "alias_sources": []}
{"id": "235f29cd732415d7", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:forget [name|number]` \u2014 Remove a Project"], "section_title": "`/ck:forget [name|number]` \u2014 Remove a Project", "section_body": "`/ck:forget [name|number]` \u2014 Remove a Project\n\nFirst resolve the project name (run `/ck:list` if needed).\nAsk: `\"This will permanently delete context for '<name>'. Are you sure? (yes/no)\"`\nIf yes:\n\nDisplay confirmation verbatim.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "bfe00a49e00aad4bf950f9bfb2d5ee65f32d47bbe50a466d4dfe09db3bd4f901", "alias_sources": []}
{"id": "23876e99f3f1b855", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Tool Requirements"], "section_title": "Tool Requirements", "section_body": "Tool Requirements\n\n`manim` CLI for scene rendering\n\n`ffmpeg` for post-processing if needed\n\n`video-editing` for final assembly or polish\n\n`remotion-video-creation` when the final package needs composited UI, captions, or additional motion layers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "41fcf7c5cd33a92a1987c40521521b7db580a1be3a3287b960b4e34c0efcfbad", "alias_sources": []}
{"id": "239065f799905c75", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices"], "section_title": "Laravel Security Best Practices", "section_body": "Laravel Security Best Practices\n\nComprehensive security guidance for Laravel applications to protect against common vulnerabilities.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "7cb2cf6c845f72d00beb545d61e0ac99a490b355553d805672b4372b5ba8f19c", "alias_sources": []}
{"id": "23a8023448814e59", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "5. The De-Sloppify Pattern", "Key Insight"], "section_title": "Key Insight", "section_body": "In a Loop Context\n\nKey Insight\n\nRather than adding negative instructions which have downstream quality effects, add a separate de-sloppify pass. Two focused agents outperform one constrained agent.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "56236c9a8f6c3f1b6734d3772904608d3548d73680da804131b36834d0301546", "alias_sources": []}
{"id": "23bb20d3113824f3", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Compaction Decision Guide"], "section_title": "Compaction Decision Guide", "section_body": "Compaction Decision Guide\n\nUse this table to decide when to compact:\n\n| Phase Transition | Compact? | Why |\n|-----------------|----------|-----|\n| Research \u2192 Planning | Yes | Research context is bulky; plan is the distilled output |\n| Planning \u2192 Implementation | Yes | Plan is in TodoWrite or a file; free up context for code |\n| Implementation \u2192 Testing | Maybe | Keep if tests reference recent code; compact if switching focus |\n| Debugging \u2192 Next feature | Yes | Debug traces pollute context for unrelated work |\n| Mid-implementation | No | Losing variable names, file paths, and partial state is costly |\n| After a failed approach | Yes | Clear the dead-end reasoning before trying a new approach |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:debug"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "070f9c6a59ce2d185e8da93263ab10e714b68f87fa79482250d7b11a482d3f25", "alias_sources": []}
{"id": "23c9a76e49c56d9b", "skill_name": "browser-qa", "skill_description": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "skill_type": null, "section_path": ["Browser QA \u2014 Automated Visual Testing & Interaction", "How It Works", "Phase 4: Accessibility"], "section_title": "Phase 4: Accessibility", "section_body": "Phase 1: Smoke Test\n\nPhase 2: Interaction Test\n\nPhase 3: Visual Regression\n\nPhase 4: Accessibility", "source_path": "CODEFORGE\\everything-claude-code\\skills\\browser-qa\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "mtime": 1776507629.4872117, "body_hash": "fd539fcadf9c6339421edc19a3e62398472201d49fdbecaef46fa8f106fb89a1", "alias_sources": []}
{"id": "23ca530c6a01314a", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Dependency Injection", "Koin (KMP-friendly)"], "section_title": "Koin (KMP-friendly)", "section_body": "SQLDelight (KMP)\n\nKtor Network Client (KMP)\n\nDependency Injection\n\nKoin (KMP-friendly)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "18d34978b3947525c33d135e6e6b7358c167376cf64ce77061f5bf1784f0c066", "alias_sources": []}
{"id": "2417fa8250032391", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Recommendation Rules"], "section_title": "Recommendation Rules", "section_body": "Output Format\n\nRecommendation Rules\n\nprefer one strong lane over many weak ones\n\nprefer digests for medium and low-signal updates\n\nprefer hooks when the signal should emit automatically\n\nprefer operator skills when the work is triage, routing, and review-first decision-making\n\nprefer `project-flow-ops` when the root cause is backlog / PR coordination rather than alerts\n\nprefer `workspace-surface-audit` when the user first needs a source inventory\n\nif desktop notifications are enough, do not invent an unnecessary external bridge", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "33fa15ec35349bd564e255b731f7b021edc953de58b7c04db013e4dc6a861656", "alias_sources": []}
{"id": "243618e54f0a4546", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nthe response names the account and thread or recipient\n\nany send claim includes Sent proof or an explicit client-side confirmation\n\nthe final state is one of drafted / sent / blocked / awaiting verification", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "10ebaf82fd3dacad6e2285b9e1fac54d4722824c246c91c54920056041e978ca", "alias_sources": []}
{"id": "245e242f8ed29789", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Mass Assignment Protection"], "section_title": "Mass Assignment Protection", "section_body": "Mass Assignment Protection\n\nUse `$fillable` or `$guarded` and avoid `Model::unguard()`\n\nPrefer DTOs or explicit attribute mapping", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "cf50f486644fba2c41b5f62bc3360a4198d82eff7de127fb7a2ed836390b405c", "alias_sources": []}
{"id": "246ea3d87b4c739e", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Cost of Quality"], "section_title": "Cost of Quality", "section_body": "Cost of Quality\n\nBuild the business case for quality investment using Juran's COQ model:\n\n**Prevention costs:** Training, process validation, design reviews, supplier qualification, SPC implementation, poka-yoke fixtures. Typically 5-10% of total COQ. Every dollar invested here returns $10-$100 in failure cost avoidance.\n\n**Appraisal costs:** Incoming inspection, in-process inspection, final inspection, testing, calibration, audit costs. Typically 20-25% of total COQ.\n\n**Internal failure costs:** Scrap, rework, re-inspection, MRB processing, production delays due to non-conformances, root cause investigation labor. Typically 25-40% of total COQ.\n\n**External failure costs:** Customer returns, warranty claims, field service, recalls, regulatory actions, liability exposure, reputation damage. Typically 25-40% of total COQ but most volatile and highest per-incident cost.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "34a55fc4e4946cf2d094a367c330941f3a40ac05a6c6444cb291f91383910bd0", "alias_sources": []}
{"id": "24856f335397ed41", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 0: Project Detection"], "section_title": "Phase 0: Project Detection", "section_body": "Analysis Pipeline\n\nPhase 0: Project Detection\n\nBefore analyzing the prompt, detect the current project context:\n\nCheck if a `CLAUDE.md` exists in the working directory \u2014 read it for project conventions\n\nDetect tech stack from project files:\n\n`package.json` \u2192 Node.js / TypeScript / React / Next.js\n\n`go.mod` \u2192 Go\n\n`pyproject.toml` / `requirements.txt` \u2192 Python\n\n`Cargo.toml` \u2192 Rust\n\n`build.gradle` / `pom.xml` \u2192 Java / Kotlin / Spring Boot\n\n`Package.swift` \u2192 Swift\n\n`Gemfile` \u2192 Ruby\n\n`composer.json` \u2192 PHP\n\n`*.csproj` / `*.sln` \u2192 .NET\n\n`Makefile` / `CMakeLists.txt` \u2192 C / C++\n\n`cpanfile` / `Makefile.PL` \u2192 Perl\n\nNote detected tech stack for use in Phase 3 and Phase 4\n\nIf no project files are found (e.g., the prompt is abstract or for a new project),\nskip detection and flag \"tech stack unknown\" in Phase 4.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "7c060ce797e7a3d6f299bcb73429500c9938a79187f41c7947eaa9cd511ce09c", "alias_sources": []}
{"id": "24a6a2a5d2f32707", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Mocking", "Test::MockModule"], "section_title": "Test::MockModule", "section_body": "Mocking\n\nTest::MockModule\n\nFor lightweight mock objects, use `Test::MockObject` to create injectable test doubles with `->mock()` and verify calls with `->called_ok()`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "62951ef81e91953a036228d6eb29c217134ee239252ffce82ecbf77806a3b770", "alias_sources": []}
{"id": "24acba36e0bc5457", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Deployment Strategies", "Rolling Deployment (Default)"], "section_title": "Rolling Deployment (Default)", "section_body": "Deployment Strategies\n\nRolling Deployment (Default)\n\nReplace instances gradually \u2014 old and new versions run simultaneously during rollout.\n\n**Pros:** Zero downtime, gradual rollout\n**Cons:** Two versions run simultaneously \u2014 requires backward-compatible changes\n**Use when:** Standard deployments, backward-compatible changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "ef7fc25292dd9738df2ba2af01c0d9d04ebdc8cf1b82fc28959d68e0be95d750", "alias_sources": []}
{"id": "24b53d8b599bfdb1", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research"], "section_title": "Market Research", "section_body": "Market Research\n\nProduce research that supports decisions, not research theater.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "fa0fe6f98246f20252dbb948a8dcac2da1d1acbb51ac4c37507c6b61c5a4b96e", "alias_sources": []}
{"id": "24b9ec901722c308", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Workflow", "2. Classify the ask"], "section_title": "2. Classify the ask", "section_body": "2. Classify the ask\n\nChoose the right lane before searching:\n\nquick factual answer\n\ncomparison or decision memo\n\nlead/enrichment pass\n\nrecurring monitoring candidate", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "42d5dab0662eea1eecc6b9827c202484629f24433a7ebe4ad052fcede6268c0d", "alias_sources": []}
{"id": "250ee1f10739ddd7", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "NCR Lifecycle"], "section_title": "NCR Lifecycle", "section_body": "Core Knowledge\n\nNCR Lifecycle\n\nEvery non-conformance follows a controlled lifecycle. Skipping steps creates audit findings and regulatory risk:\n\n**Identification:** Anyone can initiate. Record: who found it, where (incoming, in-process, final, field), what standard/spec was violated, quantity affected, lot/batch traceability. Tag or quarantine nonconforming material immediately \u2014 no exceptions. Physical segregation with red-tag or hold-tag in a designated MRB area. Electronic hold in ERP to prevent inadvertent shipment.\n\n**Documentation:** NCR number assigned per your QMS numbering scheme. Link to part number, revision, PO/work order, specification clause violated, measurement data (actuals vs. tolerances), photographs, and inspector ID. For FDA-regulated products, records must satisfy 21 CFR 820.90; for automotive, IATF 16949 \u00a78.7.\n\n**Investigation:** Determine scope \u2014 is this an isolated piece or a systemic lot issue? Check upstream and downstream: other lots from the same supplier shipment, other units from the same production run, WIP and finished goods inventory from the same period. Containment actions must happen before root cause analysis begins.\n\n**Disposition via MRB (Material Review Board):** The MRB typically includes quality, engineering, and manufacturing representatives. For aerospace (AS9100), the customer may need to participate. Disposition options:\n\n**Use-as-is:** Part does not meet drawing but is functionally acceptable. Requires engineering justification (concession/deviation). In aerospace, requires customer approval per AS9100 \u00a78.7.1. In automotive, customer notification is typically required. Document the rationale \u2014 \"because we need the parts\" is not a justification.\n\n**Rework:** Bring the part into conformance using an approved rework procedure. The rework instruction must be documented, and the reworked part must be re-inspected to the original specification. Track rework costs.\n\n**Repair:** Part will not fully meet the original specification but will be made functional. Requires engineering disposition and often customer concession. Different from rework \u2014 repair accepts a permanent deviation.\n\n**Return to Vendor (RTV):** Issue a Supplier Corrective Action Request (SCAR) or CAR. Debit memo or replacement PO. Track supplier response within agreed timelines. Update supplier scorecard.\n\n**Scrap:** Document scrap with quantity, cost, lot traceability, and authorized scrap approval (often requires management sign-off above a dollar threshold). For serialized or safety-critical parts, witness destruction.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:docs"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "a3b7077ddd6c596b6224e7c768e2fbfdef58faa944cb12e5f6e01833356812ef", "alias_sources": []}
{"id": "25130170d94e86b8", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Enums and Pattern Matching", "Exhaustive Matching \u2014 No Catch-All for Business Logic"], "section_title": "Exhaustive Matching \u2014 No Catch-All for Business Logic", "section_body": "Enums and Pattern Matching\n\nModel States as Enums\n\nExhaustive Matching \u2014 No Catch-All for Business Logic", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "3848f5a8d8eb2da65f015e3ff6d9bd9c5f3f4ccf4cd189f9084a763a86c67652", "alias_sources": []}
{"id": "252cfc8f1382bdc3", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with your constraint hierarchy, frozen-window policy, and expedite-approval thresholds.\n\nRecord actual schedule-adherence failures and root causes beside the workflow so the sequencing rules improve over time.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "49f68cac60681683c9fb8a651fa5a56f73ffd680bd9c32e0c5abaeeb27874c70", "alias_sources": []}
{"id": "2537e428d4f40de7", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 2: Code Quality & Formatting"], "section_title": "Phase 2: Code Quality & Formatting", "section_body": "Phase 1: Environment Check\n\nIf environment is misconfigured, stop and fix.\n\nPhase 2: Code Quality & Formatting\n\nCommon issues:\n\nMissing type hints on public functions\n\nPEP 8 formatting violations\n\nUnsorted imports\n\nDebug settings left in production configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:debug"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "fea3b80d824b2fcc776054e418d818fdaaf6fa975d7af1456eae99c5f2e2b53b", "alias_sources": []}
{"id": "2538cfadbdb5e32c", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Data Pipeline Patterns", "Change Data Capture (CDC)"], "section_title": "Change Data Capture (CDC)", "section_body": "Funnel Analysis\n\nCohort Analysis\n\nData Pipeline Patterns\n\nETL Pattern\n\nChange Data Capture (CDC)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "a0ee95e3e90d7cad562ecf0eb33b4b908921b3fedd1028feeb120c82c03e846b", "alias_sources": []}
{"id": "255dd3dcf26d897d", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Best Practices Checklist"], "section_title": "Best Practices Checklist", "section_body": "Best Practices Checklist\n\nDomain and use-case layers import only internal types and ports.\n\nEvery external dependency is represented by an outbound port.\n\nValidation occurs at boundaries (inbound adapter + use-case invariants).\n\nUse immutable transformations (return new values/entities instead of mutating shared state).\n\nErrors are translated across boundaries (infra errors -> application/domain errors).\n\nComposition root is explicit and easy to audit.\n\nUse cases are testable with simple in-memory fakes for ports.\n\nRefactoring starts from one vertical slice with behavior-preserving tests.\n\nLanguage/framework specifics stay in adapters, never in domain rules.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "dad4ec89dc6304c9d10d7a16a2429a476a3d54e7695ac6141f25b688cdf5fd33", "alias_sources": []}
{"id": "25897c747996f306", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Bootstrap and Global Validation"], "section_title": "Bootstrap and Global Validation", "section_body": "Bootstrap and Global Validation\n\nAlways enable `whitelist` and `forbidNonWhitelisted` on public APIs.\n\nPrefer one global validation pipe instead of repeating validation config per route.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "653ea639b55973124b7c0492f9eae37821ef1f07646507339e398042bd88d500", "alias_sources": []}
{"id": "258e6fa9a6dac2d3", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper"], "section_title": "ck \u2014 Context Keeper", "section_body": "ck \u2014 Context Keeper\n\nYou are the **Context Keeper** assistant. When the user invokes any `/ck:*` command,\nrun the corresponding Node.js script and present its stdout to the user verbatim.\nScripts live at: `~/.claude/skills/ck/commands/` (expand `~` with `$HOME`).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "c3432e19d95af1674e2ebb0d7c6b667c52c18a9294660ffa25c43ba7d8b1e646", "alias_sources": []}
{"id": "260a4cbfe6303346", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "MCP Requirement"], "section_title": "MCP Requirement", "section_body": "MCP Requirement\n\nfal.ai MCP server must be configured. Add to `~/.claude.json`:\n\nGet an API key at [fal.ai](https://fal.ai).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "cb9b56b2bde644407507f1ffc8def071eb767f340fdc89a35cad720eecf1d9e6", "alias_sources": []}
{"id": "2617eab8792b64f0", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Workflow", "2. Read the thread before composing"], "section_title": "2. Read the thread before composing", "section_body": "2. Read the thread before composing\n\nIf replying:\n\nread the existing thread\n\nidentify the last outbound touch\n\nidentify any commitments, deadlines, or unanswered questions\n\nIf creating a new outbound:\n\nidentify warmth level\n\nselect the correct channel and sender account\n\npull `brand-voice` before drafting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "7d394961b29de0321138a7dc12914f153d1a47911f90a474dfc19b10b945afe7", "alias_sources": []}
{"id": "265808dd5fb7a4b1", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Integration Testing"], "section_title": "Integration Testing", "section_body": "Mocking and Patching\n\nMocking External Services\n\nMocking Email Sending\n\nIntegration Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "2548bcb03e3fa40916547396d5782be09ef212aeb313f3f17eb9031a2f0c361a", "alias_sources": []}
{"id": "2673bfa340913271", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Migrations"], "section_title": "Migrations", "section_body": "Migrations\n\nUse Flyway or Liquibase; never rely on Hibernate auto DDL in production\n\nKeep migrations idempotent and additive; avoid dropping columns without plan", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "43d35f85f786c352688cb38d250ae1f415449a45c1e9cb229e3ecff81967588e", "alias_sources": []}
{"id": "2674b98e664e92c1", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "TDD Workflow Steps", "Step 3: Run Tests (They Should Fail)"], "section_title": "Step 3: Run Tests (They Should Fail)", "section_body": "Step 3: Run Tests (They Should Fail)\n\nThis step is mandatory and is the RED gate for all production changes.\n\nBefore modifying business logic or other production code, you must verify a valid RED state via one of these paths:\n\nRuntime RED:\n\nThe relevant test target compiles successfully\n\nThe new or changed test is actually executed\n\nThe result is RED\n\nCompile-time RED:\n\nThe new test newly instantiates, references, or exercises the buggy code path\n\nThe compile failure is itself the intended RED signal\n\nIn either case, the failure is caused by the intended business-logic bug, undefined behavior, or missing implementation\n\nThe failure is not caused only by unrelated syntax errors, broken test setup, missing dependencies, or unrelated regressions\n\nA test that was only written but not compiled and executed does not count as RED.\n\nDo not edit production code until this RED state is confirmed.\n\nIf the repository is under Git, create a checkpoint commit immediately after this stage is validated.\nRecommended commit message format:\n\n`test: add reproducer for <feature or bug>`\n\nThis commit may also serve as the RED validation checkpoint if the reproducer was compiled and executed and failed for the intended reason\n\nVerify that this checkpoint commit is on the current active branch before continuing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "98bce2f4ab38134cf8b0f9b81acd5bcbf991083552917688e5e1266dfff5dfcd", "alias_sources": []}
{"id": "271aeb265e2ccb57", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to edit, cut, or structure video footage\n\nTurning long recordings into short-form content\n\nBuilding vlogs, tutorials, or demo videos from raw capture\n\nAdding overlays, subtitles, music, or voiceover to existing video\n\nReframing video for different platforms (YouTube, TikTok, Instagram)\n\nUser says \"edit video\", \"cut this footage\", \"make a vlog\", or \"video workflow\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "1a7d25e060afa986fc397cebb19e6c3c0ccb8b4708bda12637917954e496e510", "alias_sources": []}
{"id": "273843f1357c4d6b", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "Quick Security Checklist"], "section_title": "Quick Security Checklist", "section_body": "Managing Secrets\n\nLogging Security Events\n\nQuick Security Checklist\n\n| Check | Description |\n|-------|-------------|\n| `DEBUG = False` | Never run with DEBUG in production |\n| HTTPS only | Force SSL, secure cookies |\n| Strong secrets | Use environment variables for SECRET_KEY |\n| Password validation | Enable all password validators |\n| CSRF protection | Enabled by default, don't disable |\n| XSS prevention | Django auto-escapes, don't use `&#124;safe` with user input |\n| SQL injection | Use ORM, never concatenate strings in queries |\n| File uploads | Validate file type and size |\n| Rate limiting | Throttle API endpoints |\n| Security headers | CSP, X-Frame-Options, HSTS |\n| Logging | Log security events |\n| Updates | Keep Django and dependencies updated |\n\nRemember: Security is a process, not a product. Regularly review and update your security practices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review", "phase:debug"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "7dcdf49383d1d72dec6917fec1030bc99d53efe10e46cf59b69bba70209eabb4", "alias_sources": []}
{"id": "2774c1548d7e4d76", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 4: Missing Context Detection"], "section_title": "Phase 4: Missing Context Detection", "section_body": "Phase 4: Missing Context Detection\n\nScan the prompt for missing critical information. Check each item and mark\nwhether Phase 0 auto-detected it or the user must supply it:\n\n[ ] **Tech stack** \u2014 Detected in Phase 0, or must user specify?\n\n[ ] **Target scope** \u2014 Files, directories, or modules mentioned?\n\n[ ] **Acceptance criteria** \u2014 How to know the task is done?\n\n[ ] **Error handling** \u2014 Edge cases and failure modes addressed?\n\n[ ] **Security requirements** \u2014 Auth, input validation, secrets?\n\n[ ] **Testing expectations** \u2014 Unit, integration, E2E?\n\n[ ] **Performance constraints** \u2014 Load, latency, resource limits?\n\n[ ] **UI/UX requirements** \u2014 Design specs, responsive, a11y? (if frontend)\n\n[ ] **Database changes** \u2014 Schema, migrations, indexes? (if data layer)\n\n[ ] **Existing patterns** \u2014 Reference files or conventions to follow?\n\n[ ] **Scope boundaries** \u2014 What NOT to do?\n\n**If 3+ critical items are missing**, ask the user up to 3 clarification\nquestions before generating the optimized prompt. Then incorporate the\nanswers into the optimized prompt.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "468eb3bcf5dee3049c9c478d56515bbf676102b00f670035cacb3c699ea748c7", "alias_sources": []}
{"id": "27b817930ebf69b6", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit"], "section_title": "/click-path-audit \u2014 Behavioural Flow Audit", "section_body": "/click-path-audit \u2014 Behavioural Flow Audit\n\nFind bugs that static code reading misses: state interaction side effects, race conditions between sequential calls, and handlers that silently undo each other.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "10c686db49f3a346b7bd3cbbeb427a2a2feee3acca7f83de7eb8f6c9d868da6f", "alias_sources": []}
{"id": "27ce62cadb26e80b", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Dependency Security"], "section_title": "Dependency Security", "section_body": "Dependency Security\n\nRun `composer audit` regularly\n\nPin dependencies with care and update promptly on CVEs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "b93ac68c4e69f2ff9b3edecab3f2d8ad4446248e6620c8d88cc9aea6768cb8cf", "alias_sources": []}
{"id": "27d3cffe1eb984ca", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Phase 3: Tests + Coverage"], "section_title": "Phase 3: Tests + Coverage", "section_body": "Phase 3: Tests + Coverage\n\nReport:\n\nTotal tests, passed/failed\n\nCoverage % (lines/branches)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "a51117bc403d0fda3979840d425a10be1617fca0367381cecf68650c942488bb", "alias_sources": []}
{"id": "285e6f342847aa97", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "Anti-Patterns", "Common Mistakes"], "section_title": "Common Mistakes", "section_body": "Anti-Patterns\n\nCommon Mistakes\n\n**Infinite loops without exit conditions** \u2014 Always have a max-runs, max-cost, max-duration, or completion signal.\n\n**No context bridge between iterations** \u2014 Each `claude -p` call starts fresh. Use `SHARED_TASK_NOTES.md` or filesystem state to bridge context.\n\n**Retrying the same failure** \u2014 If an iteration fails, don't just retry. Capture the error context and feed it to the next attempt.\n\n**Negative instructions instead of cleanup passes** \u2014 Don't say \"don't do X.\" Add a separate pass that removes X.\n\n**All agents in one context window** \u2014 For complex workflows, separate concerns into different agent processes. The reviewer should never be the author.\n\n**Ignoring file overlap in parallel work** \u2014 If two parallel agents might edit the same file, you need a merge strategy (sequential landing, rebase, or conflict resolution).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "01ebac4c6c955ad6fa22db6685514a1cf30bde454ade836a6655450bf6bd5aa2", "alias_sources": []}
{"id": "289a46d26d6145a2", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Platform Adaptation Rules", "X"], "section_title": "X", "section_body": "Platform Adaptation Rules\n\nX\n\nopen with the strongest claim, artifact, or tension\n\nkeep the compression if the source voice is compressed\n\nif writing a thread, each post must advance the argument\n\ndo not pad with context the audience does not need", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "b832043bdbab8f6920dfdfb87d0c29d9d6d6ac8cb5225359528eaae0a841e479", "alias_sources": []}
{"id": "28ac0f5029de4ac0", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nFetching a Jira ticket to understand requirements\n\nExtracting testable acceptance criteria from a ticket\n\nAdding progress comments to a Jira issue\n\nTransitioning a ticket status (To Do \u2192 In Progress \u2192 Done)\n\nLinking merge requests or branches to a Jira issue\n\nSearching for issues by JQL query", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "9fb5ef7e960f31a17568a292bb2b3ceeeef35cbf252807ce5dd69765c84ab9f2", "alias_sources": []}
{"id": "28cc3eaf47a89c3e", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Good Use Cases"], "section_title": "Good Use Cases", "section_body": "Output Format\n\nUse:\n\nGood Use Cases\n\n\"Find the active planning doc and condense it\"\n\n\"Clean up this customer spreadsheet and show me the churn-risk rows\"\n\n\"Import this deck into Slides and make it presentable\"\n\n\"Find the current tracker, not the stale duplicate\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "96ec96fe8d5f606d56df71a3cedc65b5fb0eb1c0cb95057ba66beec1f50b7bd5", "alias_sources": []}
{"id": "28e9fd8564ff508e", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Core Principles", "4. Postfix Dereferencing"], "section_title": "4. Postfix Dereferencing", "section_body": "4. Postfix Dereferencing\n\nUse postfix dereference syntax for readability with nested structures.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "2a45f9268a5a1f482fc630f29d0e1cad1429e2218430821cf750fcc6c11e1e2b", "alias_sources": []}
{"id": "290dc8c312c2d1cc", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)"], "section_title": "Configure Everything Claude Code (ECC)", "section_body": "Configure Everything Claude Code (ECC)\n\nAn interactive, step-by-step installation wizard for the Everything Claude Code project. Uses `AskUserQuestion` to guide users through selective installation of skills and rules, then verifies correctness and offers optimization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "8be5deea76a4edced9f3d0b3f7c6df93e8b527e10a7d11e4b16077cc06ff9fad", "alias_sources": []}
{"id": "298f5d4bd93e2604", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where standard procurement playbooks produce poor outcomes. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**ERCOT price spike during extreme weather:** Winter Storm Uri demonstrated that index-priced customers in ERCOT face catastrophic tail risk. A 5 MW facility on index pricing incurred $1.5M+ in a single week. The lesson is not \"avoid index pricing\" \u2014 it's \"never go unhedged into winter in ERCOT without a price cap or financial hedge.\"\n\n**Virtual PPA basis risk in a congested zone:** A VPPA with a wind farm in West Texas settling against Houston load zone prices can produce persistent negative settlements of $3\u2013$12/MWh due to transmission congestion, turning an apparently favorable PPA into a net cost.\n\n**Demand charge ratchet trap:** A facility modification (new production line, chiller replacement startup) creates a single month's peak 50% above normal. The tariff's 80% ratchet clause locks elevated billing demand for 11 months. A $200K annual cost increase from a single 15-minute interval.\n\n**Utility rate case filing mid-contract:** Your fixed-price supply contract covers the energy component, but T&D and rider charges flow through. A utility rate case adds $0.012/kWh to delivery charges \u2014 a $150K annual increase on a 12 MW facility that your \"fixed\" contract doesn't protect against.\n\n**Negative LMP pricing affecting PPA economics:** During high-wind or high-solar periods, wholesale prices go negative at the generator's node. Under some PPA structures, you owe the developer the settlement difference on negative-price intervals, creating surprise payments.\n\n**Behind-the-meter solar cannibalizing demand response value:** On-site solar reduces your average consumption but may not reduce your peak (peaks often occur on cloudy late afternoons). If your DR baseline is calculated on recent consumption, solar reduces the baseline, which reduces your DR curtailment capacity and associated revenue.\n\n**Capacity market obligation surprise:** In PJM, your capacity tag (PLC) is set by your load during the prior year's 5 coincident peak hours. If you ran backup generators or increased production during a heat wave that happened to include peak hours, your PLC spikes, and capacity charges increase 20\u201340% the following delivery year.\n\n**Deregulated market re-regulation risk:** A state legislature proposes re-regulation after a price spike event. If enacted, your competitively procured supply contract may be voided, and you revert to utility tariff rates \u2014 potentially at higher cost than your negotiated contract.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "4b6350e60e369fbc3039e2958f8849670c9d35818a6f9c7fcddc9fcc4dd45c50", "alias_sources": []}
{"id": "29a4ca71eaa2427e", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Examples", "Example: Find Packages by Vendor"], "section_title": "Example: Find Packages by Vendor", "section_body": "Example: Find Packages by Vendor\n\nReturns all healthy packages from vendor \"spatie\".", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "fc0565fb34fec575a015c293a596c66071e2c0c03005b7fdc15b7fa6573b8d2f", "alias_sources": []}
{"id": "29dae5f5810c57a5", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops", "Metrics to Track"], "section_title": "Metrics to Track", "section_body": "Metrics to Track\n\nsuccess rate\n\nmean retries per task\n\ntime to recovery\n\ncost per successful task\n\nfailure class distribution", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "fa07b710d71e1fad6f45c49eae87a15fc654baccc54076ac323f94abc2195025", "alias_sources": []}
{"id": "29f9ef3be49dc290", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Decision Frameworks", "Vendor Recovery ROI"], "section_title": "Vendor Recovery ROI", "section_body": "Vendor Recovery ROI\n\nPursue vendor recovery when: `(Expected credit \u00d7 probability of collection) > (Labor cost + shipping cost + relationship cost)`. Rules of thumb:\n\nClaims > $500: Always pursue. The math works even at 50% collection probability.\n\nClaims $200-500: Pursue if the vendor has a functional RTV programme and you can batch shipments.\n\nClaims < $200: Batch until threshold is met, or offset against next PO. Do not ship individual units.\n\nOverseas vendors: Increase minimum threshold to $1,000. Add 30% to expected processing time.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "9d4c3b0366d28ea949bfdcf37727e84d240786bfc103aed3616e5e08bf0deabf", "alias_sources": []}
{"id": "2a118dcfd174faa0", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 1: Intent Detection"], "section_title": "Phase 1: Intent Detection", "section_body": "Phase 1: Intent Detection\n\nClassify the user's task into one or more categories:\n\n| Category | Signal Words | Example |\n|----------|-------------|---------|\n| New Feature | build, create, add, implement, \u521b\u5efa, \u5b9e\u73b0, \u6dfb\u52a0 | \"Build a login page\" |\n| Bug Fix | fix, broken, not working, error, \u4fee\u590d, \u62a5\u9519 | \"Fix the auth flow\" |\n| Refactor | refactor, clean up, restructure, \u91cd\u6784, \u6574\u7406 | \"Refactor the API layer\" |\n| Research | how to, what is, explore, investigate, \u600e\u4e48, \u5982\u4f55 | \"How to add SSO\" |\n| Testing | test, coverage, verify, \u6d4b\u8bd5, \u8986\u76d6\u7387 | \"Add tests for the cart\" |\n| Review | review, audit, check, \u5ba1\u67e5, \u68c0\u67e5 | \"Review my PR\" |\n| Documentation | document, update docs, \u6587\u6863 | \"Update the API docs\" |\n| Infrastructure | deploy, CI, docker, database, \u90e8\u7f72, \u6570\u636e\u5e93 | \"Set up CI/CD pipeline\" |\n| Design | design, architecture, plan, \u8bbe\u8ba1, \u67b6\u6784 | \"Design the data model\" |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:deploy", "phase:debug", "phase:docs"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "a207e04fba94ee5058d6c19798b41c27a693ea249f2aba52e3a304f60e3ddf9c", "alias_sources": []}
{"id": "2a2f09bcfd5a6f4f", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "How It Works", "Step 5: Synthesize Results"], "section_title": "Step 5: Synthesize Results", "section_body": "Step 5: Synthesize Results\n\nCollect all outputs and present a unified report:\n\nResults grouped by agent\n\nSynthesis section highlighting:\n\nAgreements across agents\n\nConflicts or tensions between recommendations\n\nRecommended next steps\n\nIf only 1 agent was selected, skip synthesis and present the output directly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "152ae3a835d2fab265f54d985aea8aa91dd375a71ac7f97fea5dc668f0fa77a6", "alias_sources": []}
{"id": "2a4a9929832740b3", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ndraft first unless the user clearly asked for a live send\n\nnever claim a message was sent without a real Sent-folder or client-side confirmation\n\ndo not switch sender accounts casually; choose the account that matches the project and recipient\n\ndo not delete uncertain business mail during cleanup\n\nif the task is really DM or iMessage work, hand off to `messages-ops`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "3b1059459513c66226cc6ecfc06162970c2edf166dc0c75f536f9dba66398f11", "alias_sources": []}
{"id": "2ad393bbec4aecfc", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Concurrency Patterns", "Avoiding Goroutine Leaks"], "section_title": "Avoiding Goroutine Leaks", "section_body": "Graceful Shutdown\n\nerrgroup for Coordinated Goroutines\n\nAvoiding Goroutine Leaks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "339ded7a14f14c36050906602158297b94271c6e782f0addc11230da220b06ad", "alias_sources": []}
{"id": "2b1ab7146bce97a8", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 4: Programmable Composition (Remotion)"], "section_title": "Layer 4: Programmable Composition (Remotion)", "section_body": "Layer 4: Programmable Composition (Remotion)\n\nRemotion turns editing problems into composable code. Use it for things that traditional editors make painful:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "81cbe74d04c044172ce90e42e5847010af56b49ff4dd286e4883c80474087e68", "alias_sources": []}
{"id": "2b30796ef29289ef", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nDefining UI component specifications for Web, iOS, or Android.\n\nAuditing existing code for accessibility barriers or compliance gaps.\n\nImplementing new WCAG 2.2 standards like Target Size (Minimum) and Focus Appearance.\n\nMapping high-level design requirements to technical attributes (ARIA roles, traits, hints).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "56cdb18bfdffebfc7441f44d2c6e0d0723b0c87279b0deb4b8995d4347c7f81a", "alias_sources": []}
{"id": "2b59530d3c75d75b", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Privacy"], "section_title": "Privacy", "section_body": "Privacy\n\nObservations stay **local** on your machine\n\nProject-scoped instincts are isolated per project\n\nOnly **instincts** (patterns) can be exported \u2014 not raw observations\n\nNo actual code or conversation content is shared\n\nYou control what gets exported and promoted", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "32ca5a6b17d3ea5f4b365a2cd6d014d22d17e42d9a540006537b7f5ecef414a2", "alias_sources": []}
{"id": "2b60208f8becf66f", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "Scheduling Fundamentals"], "section_title": "Scheduling Fundamentals", "section_body": "Core Knowledge\n\nScheduling Fundamentals\n\n**Forward vs. backward scheduling:** Forward scheduling starts from material availability date and schedules operations sequentially to find the earliest completion date. Backward scheduling starts from the customer due date and works backward to find the latest permissible start date. In practice, use backward scheduling as the default to preserve flexibility and minimize WIP, then switch to forward scheduling when the backward pass reveals that the latest start date is already in the past \u2014 that work order is already late-starting and needs to be expedited from today forward.\n\n**Finite vs. infinite capacity:** MRP runs infinite-capacity planning \u2014 it assumes every work centre has unlimited capacity and flags overloads for the scheduler to resolve manually. Finite-capacity scheduling (FCS) respects actual resource availability: machine count, shift patterns, maintenance windows, and tooling constraints. Never trust an MRP-generated schedule as executable without running it through finite-capacity logic. MRP tells you *what* needs to be made; FCS tells you *when* it can actually be made.\n\n**Drum-Buffer-Rope (DBR) and Theory of Constraints:** The drum is the constraint resource \u2014 the work centre with the least excess capacity relative to demand. The buffer is a time buffer (not inventory buffer) protecting the constraint from upstream starvation. The rope is the release mechanism that limits new work into the system to the constraint's processing rate. Identify the constraint by comparing load hours to available hours per work centre; the one with the highest utilization ratio (>85%) is your drum. Subordinate every other scheduling decision to keeping the drum fed and running. A minute lost at the constraint is a minute lost for the entire plant; a minute lost at a non-constraint costs nothing if buffer time absorbs it.\n\n**JIT sequencing:** In mixed-model assembly environments, level the production sequence to minimize variation in component consumption rates. Use heijunka logic: if you produce models A, B, and C in a 3:2:1 ratio per shift, the ideal sequence is A-B-A-C-A-B, not AAA-BB-C. Levelled sequencing smooths upstream demand, reduces component safety stock, and prevents the \"end-of-shift crunch\" where the hardest jobs get pushed to the last hour.\n\n**Where MRP breaks down:** MRP assumes fixed lead times, infinite capacity, and perfect BOM accuracy. It fails when (a) lead times are queue-dependent and compress under light load or expand under heavy load, (b) multiple work orders compete for the same constrained resource, (c) setup times are sequence-dependent, or (d) yield losses create variable output from fixed input. Schedulers must compensate for all four.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "71ee0c2c82e4a7502478dd561cd1e04a413a2f53dfe9bf2f8efcb4add52ab87e", "alias_sources": []}
{"id": "2b610976607d2d6c", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns", "Quick Reference", "Data Type Quick Reference"], "section_title": "Data Type Quick Reference", "section_body": "Data Type Quick Reference\n\n| Use Case | Correct Type | Avoid |\n|----------|-------------|-------|\n| IDs | `bigint` | `int`, random UUID |\n| Strings | `text` | `varchar(255)` |\n| Timestamps | `timestamptz` | `timestamp` |\n| Money | `numeric(10,2)` | `float` |\n| Flags | `boolean` | `varchar`, `int` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "8c9e19fac82105452cd864222ba0c990df785b206aba4384177fa033a058ec71", "alias_sources": []}
{"id": "2b7c115adcf39c6a", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Null Handling"], "section_title": "Null Handling", "section_body": "Logging\n\nNull Handling\n\nAccept `@Nullable` only when unavoidable; otherwise use `@NonNull`\n\nUse Bean Validation (`@NotNull`, `@NotBlank`) on inputs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "d7260ad902d93fb10c929c5ff619831c89e34b95361d4b75d9ecb5095c1fe717", "alias_sources": []}
{"id": "2b80ed50eb1c15c2", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Guided Generation with @Generable"], "section_title": "Core Pattern \u2014 Guided Generation with @Generable", "section_body": "Core Pattern \u2014 Guided Generation with @Generable\n\nGenerate structured Swift types instead of raw strings:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "363d1b642ea8d371b1bfd235a41a8ba7efa82597bb03aef01974b54455eccd5e", "alias_sources": []}
{"id": "2b936f85540c6ee8", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Best Practices", "DON'T"], "section_title": "DON'T", "section_body": "DON'T\n\n**Don't test implementation**: Test behavior and output, not internals\n\n**Don't share state between subtests**: Each subtest should be independent\n\n**Don't skip `done_testing`**: Ensures all planned tests ran\n\n**Don't over-mock**: Mock boundaries only, not the code under test\n\n**Don't use `Test::More` for new projects**: Prefer Test2::V0\n\n**Don't ignore test failures**: All tests must pass before merge\n\n**Don't test CPAN modules**: Trust libraries to work correctly\n\n**Don't write brittle tests**: Avoid over-specific string matching", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "3624c0a233bd5feebefcf0b3c48fab1ea412e9641e5b864eb552db6f83aa0dff", "alias_sources": []}
{"id": "2b948fc1d37f2c49", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "When to Use"], "section_title": "When to Use", "section_body": "\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089\n\n\u4e0d\u662f\u7ed9\u4f60\u4e00\u53ea\u5de5\u5177\u9f99\u867e\uff0c\u800c\u662f\u5e2e\u4f60\u953b\u9020\u4e00\u53ea\u6709\u7075\u9b42\u7684\u9f99\u867e\u3002\n\nWhen to Use\n\n\u5f53\u7528\u6237\u9700\u8981\u4ece\u96f6\u521b\u5efa OpenClaw \u9f99\u867e\u7075\u9b42\u3001\u89d2\u8272\u8bbe\u5b9a\u3001SOUL.md \u6216 IDENTITY.md\n\n\u5f53\u7528\u6237\u60f3\u901a\u8fc7\u5f15\u5bfc\u5f0f\u95ee\u7b54\u6216\u62bd\u5361\u6a21\u5f0f\u5feb\u901f\u5f97\u5230\u5b8c\u6574 persona \u65b9\u6848\n\n\u5f53\u7528\u6237\u5df2\u7ecf\u6709\u4e00\u4e2a\u7c97\u7cd9\u8bbe\u5b9a\uff0c\u4f46\u8fd8\u7f3a\u540d\u5b57\u3001\u8fb9\u754c\u89c4\u5219\u3001\u5934\u50cf\u63d0\u793a\u8bcd\u6216\u6210\u5957\u8f93\u51fa\u6587\u4ef6", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "66d9c04525d36d1748e0b7528d74ff1a490cacf818b7c378106d4d9793d55aa2", "alias_sources": []}
{"id": "2b976a993adc93e4", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "SQL Injection Prevention", "DBIx::Class (ORM Safety)"], "section_title": "DBIx::Class (ORM Safety)", "section_body": "SQL Injection Prevention\n\nDBI Placeholders\n\nDynamic Column Allowlists\n\nDBIx::Class (ORM Safety)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "070a7479d14dac3da36dd83ccf1b96a5f4993654b6c7b435411e37f669394718", "alias_sources": []}
{"id": "2ba00a19ecf95c43", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Workflow", "1. Discover"], "section_title": "1. Discover", "section_body": "Workflow\n\n1. Discover\n\nExplore the repo before writing anything:\n\nREADME and package/app entry points\n\nfolder structure\n\nrelevant config files\n\nthe changed files if the tour is PR-focused\n\nDo not start writing steps before you understand the shape of the code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "0447619802bb5efe7c3780075c6c66da7d52ba8ec80872621338217ab78b6d6a", "alias_sources": []}
{"id": "2bc396b91ac30c6a", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Branching Strategies", "Trunk-Based Development (High-Velocity Teams)"], "section_title": "Trunk-Based Development (High-Velocity Teams)", "section_body": "Trunk-Based Development (High-Velocity Teams)\n\nBest for teams with strong CI/CD and feature flags.\n\n**Rules:**\n\nEveryone commits to `main` or very short-lived branches\n\nFeature flags hide incomplete work\n\nCI must pass before merge\n\nDeploy multiple times per day", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:build", "phase:deploy"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "d231ef145ddf6ea4aa7750e4244a58faa422d20393386ff920843853da09fe4f", "alias_sources": []}
{"id": "2bc6cf67648f30b3", "skill_name": "continuous-agent-loop", "skill_description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "skill_type": null, "section_path": ["Continuous Agent Loop"], "section_title": "Continuous Agent Loop", "section_body": "Continuous Agent Loop\n\nThis is the v1.8+ canonical loop skill name. It supersedes `autonomous-loops` while keeping compatibility for one release.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-agent-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "mtime": 1776507629.5723405, "body_hash": "637419b30cc6005f47c690808554738bcad118b112acc85d87e6bf163144b194", "alias_sources": []}
{"id": "2c0013145ceb59e2", "skill_name": "e2e-testing", "skill_description": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "skill_type": null, "section_path": ["E2E Testing Patterns"], "section_title": "E2E Testing Patterns", "section_body": "E2E Testing Patterns\n\nComprehensive Playwright patterns for building stable, fast, and maintainable E2E test suites.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\e2e-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "mtime": 1776507629.7220857, "body_hash": "808058a045f9fa9d4ed2f23e2d76fb7a50075a78935cf2d71903543b1b372dc3", "alias_sources": []}
{"id": "2c05c68e84f76bff", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Statistical Process Control (SPC)"], "section_title": "Statistical Process Control (SPC)", "section_body": "Statistical Process Control (SPC)\n\nSPC separates signal from noise. Misinterpreting charts causes more problems than not charting at all:\n\n**Chart Selection:** X-bar/R for continuous data with subgroups (n=2-10). X-bar/S for subgroups n>10. Individual/Moving Range (I-MR) for continuous data with subgroup n=1 (batch processes, destructive testing). p-chart for proportion defective (variable sample size). np-chart for count of defectives (fixed sample size). c-chart for count of defects per unit (fixed opportunity area). u-chart for defects per unit (variable opportunity area).\n\n**Capability Indices:** Cp measures process spread vs. specification width (potential capability). Cpk adjusts for centering (actual capability). Pp/Ppk use overall variation (long-term) vs. Cp/Cpk which use within-subgroup variation (short-term). A process with Cp=2.0 but Cpk=0.8 is capable but not centered \u2014 fix the mean, not the variation. Automotive (IATF 16949) typically requires Cpk \u2265 1.33 for established processes, Ppk \u2265 1.67 for new processes.\n\n**Western Electric Rules (signals beyond control limits):** Rule 1: One point beyond 3\u03c3. Rule 2: Nine consecutive points on one side of the center line. Rule 3: Six consecutive points steadily increasing or decreasing. Rule 4: Fourteen consecutive points alternating up and down. Rule 1 demands immediate action. Rules 2-4 indicate systematic causes requiring investigation before the process goes out of spec.\n\n**The Over-Adjustment Problem:** Reacting to common cause variation by tweaking the process increases variation \u2014 this is tampering. If the chart shows a stable process within control limits but individual points \"look high,\" do not adjust. Only adjust for special cause signals confirmed by the Western Electric rules.\n\n**Common vs. Special Cause:** Common cause variation is inherent to the process \u2014 reducing it requires fundamental process changes (better equipment, different material, environmental controls). Special cause variation is assignable to a specific event \u2014 a worn tool, a new raw material lot, an untrained operator on second shift. SPC's primary function is detecting special causes quickly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "94042d58ac73876bc29bac866e527937dd29d7077a1ed4fecb12f6f134b87b4e", "alias_sources": []}
{"id": "2c186497ec3a97d3", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "1. Sequential Pipeline (`claude -p`)", "Core Insight"], "section_title": "Core Insight", "section_body": "Core Insight\n\nIf you can't figure out a loop like this, it means you can't even drive the LLM to fix your code in interactive mode.\n\nThe `claude -p` flag runs Claude Code non-interactively with a prompt, exits when done. Chain calls to build a pipeline:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "a7ef3be2604b1799a41d19504f6b96787dc23b318124803c7dad08a46b29b9d1", "alias_sources": []}
{"id": "2c1cee6daa2b2204", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Core Knowledge", "Exception Taxonomy"], "section_title": "Exception Taxonomy", "section_body": "Core Knowledge\n\nException Taxonomy\n\nEvery exception falls into a classification that determines the resolution workflow, documentation requirements, and urgency:\n\n**Delay (transit):** Shipment not delivered by promised date. Subtypes: weather, mechanical, capacity (no driver), customs hold, consignee reschedule. Most common exception type (~40% of all exceptions). Resolution hinges on whether delay is carrier-fault or force majeure.\n\n**Damage (visible):** Noted on POD at delivery. Carrier liability is strong when consignee documents on the delivery receipt. Photograph immediately. Never accept \"driver left before we could inspect.\"\n\n**Damage (concealed):** Discovered after delivery, not noted on POD. Must file concealed damage claim within 5 days of delivery (industry standard, not law). Burden of proof shifts to shipper. Carrier will challenge \u2014 you need packaging integrity evidence.\n\n**Damage (temperature):** Reefer/temperature-controlled failure. Requires continuous temp recorder data (Sensitech, Emerson). Pre-trip inspection records are critical. Carriers will claim \"product was loaded warm.\"\n\n**Shortage:** Piece count discrepancy at delivery. Count at the tailgate \u2014 never sign clean BOL if count is off. Distinguish driver count vs warehouse count conflicts. OS&D (Over, Short & Damage) report required.\n\n**Overage:** More product delivered than on BOL. Often indicates cross-shipment from another consignee. Trace the extra freight \u2014 somebody is short.\n\n**Refused delivery:** Consignee rejects. Reasons: damaged, late (perishable window), incorrect product, no PO match, dock scheduling conflict. Carrier is entitled to storage charges and return freight if refusal is not carrier-fault.\n\n**Misdelivered:** Delivered to wrong address or wrong consignee. Full carrier liability. Time-critical to recover \u2014 product deteriorates or gets consumed.\n\n**Lost (full shipment):** No delivery, no scan activity. Trigger trace at 24 hours past ETA for FTL, 48 hours for LTL. File formal tracer with carrier OS&D department.\n\n**Lost (partial):** Some items missing from shipment. Often happens at LTL terminals during cross-dock handling. Serial number tracking critical for high-value.\n\n**Contaminated:** Product exposed to chemicals, odors, or incompatible freight (common in LTL). Regulatory implications for food and pharma.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "5d3c11cd9a621d1eb16c7f0c38b828a127a4ffbd3a0741a4253d9d7c21ca261a", "alias_sources": []}
{"id": "2c5cd5cf5a159ca7", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "Carrier Scorecarding"], "section_title": "Carrier Scorecarding", "section_body": "Carrier Scorecarding\n\nMeasure what matters. A scorecard that tracks 20 metrics gets ignored; one that tracks 5 gets acted on:\n\n**On-time delivery (OTD):** Percentage of shipments delivered within the agreed window. Target: \u226595%. Red flag: <90%. Measure pickup and delivery separately \u2014 a carrier with 98% on-time pickup and 88% on-time delivery has a linehaul or terminal problem, not a capacity problem.\n\n**Tender acceptance rate:** Percentage of electronically tendered loads accepted by the carrier. Target: \u226590% for primary carriers. Red flag: <80%. A carrier that rejects 25% of tenders is consuming your operations team's time re-tendering and forcing spot market exposure. Tender acceptance below 75% on a contract lane means the rate is below market \u2014 renegotiate or reallocate.\n\n**Claims ratio:** Dollar value of claims filed divided by total freight spend with the carrier. Target: <0.5% of spend. Red flag: >1.0%. Track claims frequency separately from claims severity \u2014 a carrier with one $50K claim is different from one with fifty $1K claims. The latter indicates a systemic handling problem.\n\n**Invoice accuracy:** Percentage of invoices matching the contracted rate without manual correction. Target: \u226597%. Red flag: <93%. Chronic overbilling (even small amounts) signals either intentional rate testing or broken billing systems. Either way, it costs you audit labor. Carriers with <90% invoice accuracy should be on corrective action.\n\n**Tender-to-pickup time:** Hours between electronic tender acceptance and actual pickup. Target: within 2 hours of requested pickup for FTL. Carriers that accept tenders but consistently pick up late are \"soft rejecting\" \u2014 they accept to hold the load while shopping for better freight.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "4b3b43526c6e2ca2af8d0709cf56b9e9df9357843a381444f99be4ea7b78cb72", "alias_sources": []}
{"id": "2c769bb25b54e08b", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Debugging Failures"], "section_title": "Debugging Failures", "section_body": "Running Tests\n\nDebugging Failures\n\nRe-run the single failing test with gtest filter.\n\nAdd scoped logging around the failing assertion.\n\nRe-run with sanitizers enabled.\n\nExpand to full suite once the root cause is fixed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "fb530b0f4af7c7baf01122a45f6a589efe05b25c3c9455d4f25cce6e45fea61d", "alias_sources": []}
{"id": "2cb17a91f53bc076", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft", "Channel Rules"], "section_title": "Channel Rules", "section_body": "Channel Rules\n\nEmail\n\nEmail\n\nUse for the highest-value cold outreach, warm intros, investor outreach, and partnership asks\n\nDefault to drafting in Apple Mail / Mail.app when local desktop control is available\n\nCreate drafts first, do not send automatically unless the user explicitly asks\n\nSubject line should be plain and specific, not clever\n\nLinkedIn\n\nLinkedIn\n\nUse when the target is active there, when mutual graph context is stronger on LinkedIn, or when email confidence is low\n\nPrefer API access if available\n\nOtherwise use browser control to inspect profiles, recent activity, and draft the message\n\nKeep it shorter than email and avoid fake professional warmth\n\nX\n\nX\n\nUse for high-context operator, builder, or investor outreach where public posting behavior matters\n\nPrefer API access for search, timeline, and engagement analysis\n\nFall back to browser control when needed\n\nDMs and public replies should be much tighter than email and should reference something real from the target's timeline\n\nChannel Selection Heuristic\n\nChannel Selection Heuristic\n\nPick one primary channel in this order:\n\nwarm intro by email\n\ndirect email\n\nLinkedIn DM\n\nX DM or reply\n\nUse multi-channel only when there is a strong reason and the cadence will not feel spammy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "116e9d4d43f2f514ea654912c30c25886f32676cd467982924ce740738251b85", "alias_sources": []}
{"id": "2cde6e77fbb1c0ef", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "What It Scans"], "section_title": "What It Scans", "section_body": "What It Scans\n\n| File | Checks |\n|------|--------|\n| `CLAUDE.md` | Hardcoded secrets, auto-run instructions, prompt injection patterns |\n| `settings.json` | Overly permissive allow lists, missing deny lists, dangerous bypass flags |\n| `mcp.json` | Risky MCP servers, hardcoded env secrets, npx supply chain risks |\n| `hooks/` | Command injection via interpolation, data exfiltration, silent error suppression |\n| `agents/*.md` | Unrestricted tool access, prompt injection surface, missing model specs |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "31c0d8c7eee76d4404cbd869f37819aad1009e333278f04c206fca4aca4e4e9c", "alias_sources": []}
{"id": "2cdfbae3bdbf98a0", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)"], "section_title": "FoundationModels: On-Device LLM (iOS 26)", "section_body": "FoundationModels: On-Device LLM (iOS 26)\n\nPatterns for integrating Apple's on-device language model into apps using the FoundationModels framework. Covers text generation, structured output with `@Generable`, custom tool calling, and snapshot streaming \u2014 all running on-device for privacy and offline support.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "f19dceda30203d65258732306ddb54044889e2c1135dd715344b3b82fe1441c7", "alias_sources": []}
{"id": "2ce756888d00d911", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\nMinimum viable rule:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "61c4f18d78148fae3c90d636d6375671cb38f44e062d3568022fa1021f3c96c6", "alias_sources": []}
{"id": "2cf06c9042e1456c", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Phase 3: Tests + Coverage", "Integration Tests with Testcontainers"], "section_title": "Integration Tests with Testcontainers", "section_body": "Unit Tests\n\nTest service logic in isolation with mocked dependencies:\n\nIntegration Tests with Testcontainers\n\nTest against a real database instead of H2:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "e3c585b2b461c978bcd2cee8dfc6abe6926ba7cc7bde2d69867b4100e411979b", "alias_sources": []}
{"id": "2d17e71cfee23c73", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Quick Start", "1. Enable Observation Hooks"], "section_title": "1. Enable Observation Hooks", "section_body": "Quick Start\n\n1. Enable Observation Hooks\n\nAdd to your `~/.claude/settings.json`.\n\n**If installed as a plugin** (recommended):\n\n**If installed manually** to `~/.claude/skills`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "4aad6f1d1cf8cc5042071b6577536fbb0080a4fa8b766cdd1ce6a069b53eb2db", "alias_sources": []}
{"id": "2d288f2a719e6a40", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research"], "section_title": "Deep Research", "section_body": "Deep Research\n\nProduce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "c10f0fb264901f3ce34c777f367bd80d6f7f8e448c89aa1c1b817c5f0a5a1a38", "alias_sources": []}
{"id": "2d3c8afa84ba2cf3", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\n\"Build a Kafka monitoring dashboard\"\n\n\"Create a Grafana dashboard for Elasticsearch\"\n\n\"Make a SigNoz dashboard for this service\"\n\n\"Turn this metrics list into a real operational dashboard\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "3b5adecce537443a721fa326869ba14735dcfd30864ffeee8158774994156b5b", "alias_sources": []}
{"id": "2d41a2c9348c1885", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Red Flags to Avoid"], "section_title": "Red Flags to Avoid", "section_body": "Red Flags to Avoid\n\nunverifiable claims\n\nfuzzy market sizing without assumptions\n\ninconsistent team roles or titles\n\nrevenue math that does not sum cleanly\n\ninflated certainty where assumptions are fragile", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "7c537e3f01426a9fc4243742524e88976354a06aa21adf17cc71ea9f5d86ac5b", "alias_sources": []}
{"id": "2d5a355a51a242b9", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not conflate failed attempts with net revenue\n\ndo not infer team billing from marketing language alone\n\ndo not compare competitor pricing from memory when current evidence is available\n\ndo not jump from diagnosis straight to refund without classifying the issue", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "f11b69abf05f0d6aa9f9cf18ce6d3abed134d13fa42e421b2f30a59c47b93c27", "alias_sources": []}
{"id": "2d6796234aa3a3a2", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Best Practices", "DO"], "section_title": "DO", "section_body": "Best Practices\n\nDO\n\n**Follow TDD**: Write tests before code (red-green-refactor)\n\n**Test one thing**: Each test should verify a single behavior\n\n**Use descriptive names**: `test_user_login_with_invalid_credentials_fails`\n\n**Use fixtures**: Eliminate duplication with fixtures\n\n**Mock external dependencies**: Don't depend on external services\n\n**Test edge cases**: Empty inputs, None values, boundary conditions\n\n**Aim for 80%+ coverage**: Focus on critical paths\n\n**Keep tests fast**: Use marks to separate slow tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "b99b8a84371bd28dbe50aca2b99759eabffdf2925424ab4aa43441a313e58b33", "alias_sources": []}
{"id": "2df5cd4167543f8b", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline"], "section_title": "Cost-Aware LLM Pipeline", "section_body": "Cost-Aware LLM Pipeline\n\nPatterns for controlling LLM API costs while maintaining quality. Combines model routing, budget tracking, retry logic, and prompt caching into a composable pipeline.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "9433fb95e62196375cd8c9bf4dce925bd8f1f9908203dfe38c919bb310d9dbf4", "alias_sources": []}
{"id": "2e2296db2630caaf", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Package Organization", "Standard Project Layout"], "section_title": "Standard Project Layout", "section_body": "Optional Behavior with Type Assertions\n\nPackage Organization\n\nStandard Project Layout", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "02379958c3ba1034376a1931e9f9dd04d85c2af109a383a079340d4d78c381bb", "alias_sources": []}
{"id": "2e4193d69fc51e5f", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security"], "section_title": "LLM Trading Agent Security", "section_body": "LLM Trading Agent Security\n\nAutonomous trading agents have a harsher threat model than normal LLM apps: an injection or bad tool path can turn directly into asset loss.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "0e53f5f4fc5f80c4356a389457b92f6f465048b6e847df6a960d295bb15e38f6", "alias_sources": []}
{"id": "2e62be84957513a3", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Production Readiness Checklist", "Infrastructure"], "section_title": "Infrastructure", "section_body": "Infrastructure\n\n[ ] Docker image builds reproducibly (pinned versions)\n\n[ ] Environment variables documented and validated at startup\n\n[ ] Resource limits set (CPU, memory)\n\n[ ] Horizontal scaling configured (min/max instances)\n\n[ ] SSL/TLS enabled on all endpoints", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "095c42974e128c6383b8f773575e3e014f8f29b14e2659f729a8671530902deb", "alias_sources": []}
{"id": "2e6495c1d7bb4d9e", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Always use GlassEffectContainer** when applying glass to multiple sibling views \u2014 it enables morphing and improves rendering performance\n\n**Apply `.glassEffect()` after** other appearance modifiers (frame, font, padding)\n\n**Use `.interactive()`** only on elements that respond to user interaction (buttons, toggleable items)\n\n**Choose spacing carefully** in containers to control when glass effects merge\n\n**Use `withAnimation`** when changing view hierarchies to enable smooth morphing transitions\n\n**Test across appearances** \u2014 light mode, dark mode, and accented/tinted modes\n\n**Ensure accessibility contrast** \u2014 text on glass must remain readable", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "5a1571ea861518509b055d0e4df49db11b7d8ab9c956662bb50778924228a3d5", "alias_sources": []}
{"id": "2eb0a82d96f59a4f", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "File I/O"], "section_title": "File I/O", "section_body": "Precompiled Patterns\n\nData Structures\n\nReferences and Safe Deep Access\n\nFile I/O", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "133604c28724dbddfc68eb883861f88a60aaf13bc1795e00cc16562dee705928", "alias_sources": []}
{"id": "2eba3fb02427eb63", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Ingestion Workflow", "2. Deduplicate"], "section_title": "2. Deduplicate", "section_body": "2. Deduplicate\n\nCheck if this knowledge already exists:\n\nSearch memory files for existing entries\n\nQuery MCP memory with relevant terms\n\nCheck whether the information already exists in GitHub or Linear before creating another local note\n\nDo not create duplicates. Update existing entries instead.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "c2c2a896ce03654b2a80df76b02a1df5f926d4937cccd1db29b1f567eacaaac8", "alias_sources": []}
{"id": "2ed8b43ce5987f05", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Release Management"], "section_title": "Release Management", "section_body": "Branch Management\n\nNaming Conventions\n\nBranch Cleanup\n\nStash Workflow\n\nRelease Management", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "4c1fbed3e020875b6e7c9a4a44c0770cdb98d231d5f02b805b66d6fe5de7eddc", "alias_sources": []}
{"id": "2edfd9340bc92d44", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Fakes for Side Effects"], "section_title": "Fakes for Side Effects", "section_body": "Persistence Test Example\n\nFakes for Side Effects\n\n`Bus::fake()` for jobs\n\n`Queue::fake()` for queued work\n\n`Mail::fake()` and `Notification::fake()` for notifications\n\n`Event::fake()` for domain events", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "827cd5002a4ed5d01027650738ce3c92f62518ad692bd9ac646f1696cf9e52e0", "alias_sources": []}
{"id": "2f04d753521dee95", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Core Pattern \u2014 Isolated Conformances"], "section_title": "Core Pattern \u2014 Isolated Conformances", "section_body": "Core Pattern \u2014 Isolated Conformances\n\nMainActor types can now conform to non-isolated protocols safely:\n\nThe compiler ensures the conformance is only used on the main actor:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "e6aff3048e3f229478b6a6d611dbb0d50f174b86cd45e5c16a9aaf5e3805025c", "alias_sources": []}
{"id": "2f13c236d7f6a728", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 1: Model a use case boundary"], "section_title": "Step 1: Model a use case boundary", "section_body": "How It Works\n\nStep 1: Model a use case boundary\n\nDefine a single use case with a clear input and output DTO. Keep transport details (Express `req`, GraphQL `context`, job payload wrappers) outside this boundary.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "27f4170386a924acea59158924cae5f76480ed53a3b4c4267cfec0b9e5aaa0ee", "alias_sources": []}
{"id": "2f3fa475cd87051a", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Test Lifecycle and Fixtures"], "section_title": "Test Lifecycle and Fixtures", "section_body": "Data-Driven Testing\n\nwithData in Kotest\n\nwithData in Kotest\n\nTest Lifecycle and Fixtures\n\nBeforeTest / AfterTest\n\nBeforeTest / AfterTest\n\nKotest Extensions\n\nKotest Extensions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "992cc7dfef098cf5135bdb61b51d011677ba21f415ef6702af8e43e613f8190f", "alias_sources": []}
{"id": "2f6f9dceca68a851", "skill_name": "bun-runtime", "skill_description": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "skill_type": null, "section_path": ["Bun Runtime"], "section_title": "Bun Runtime", "section_body": "Bun Runtime\n\nBun is a fast all-in-one JavaScript runtime and toolkit: runtime, package manager, bundler, and test runner.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\bun-runtime\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:test"], "trigger_hints": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "mtime": 1776507629.4882107, "body_hash": "86db3782793bc302c2eca990a62a9bb7888bb3bc5fd990006742a219d136cc71", "alias_sources": []}
{"id": "2f98e113a8297c81", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 1: Signal Scoring"], "section_title": "Stage 1: Signal Scoring", "section_body": "Stage 1: Signal Scoring\n\nSearch for high-signal people in target verticals. Assign a weight to each based on:\n\n| Signal | Weight | Source |\n|--------|--------|--------|\n| Role/title alignment | 30% | Exa, LinkedIn |\n| Industry match | 25% | Exa company search |\n| Recent activity on topic | 20% | X API search, Exa |\n| Follower count / influence | 10% | X API |\n| Location proximity | 10% | Exa, LinkedIn |\n| Engagement with your content | 5% | X API interactions |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "dab1438290da7307aeacefef158a4211265fedf50e0669a07e1ce499c7489b43", "alias_sources": []}
{"id": "2fb44cd549181aef", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Implementation Patterns", "Pattern A: Claude Code Subagents (Recommended)"], "section_title": "Pattern A: Claude Code Subagents (Recommended)", "section_body": "Implementation Patterns\n\nPattern A: Claude Code Subagents (Recommended)\n\nSubagents provide true context isolation. Each reviewer is a separate process with no shared state.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "83a252833e1320ff84a2c3852878d76a57256be4e19f89fc81b4c455d782e037", "alias_sources": []}
{"id": "2fb48f129dd80210", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns"], "section_title": "Go Development Patterns", "section_body": "Go Development Patterns\n\nIdiomatic Go patterns and best practices for building robust, efficient, and maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "5dfc852b46e1e7801e17a4a147900a7c1a305eadde499e16d3b42c09a41689a6", "alias_sources": []}
{"id": "2fd17ffe8e2d9825", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence"], "section_title": "Swift Actors for Thread-Safe Persistence", "section_body": "Swift Actors for Thread-Safe Persistence\n\nPatterns for building thread-safe data persistence layers using Swift actors. Combines in-memory caching with file-backed storage, leveraging the actor model to eliminate data races at compile time.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "998bbc15a756b617989d5eb2bbd19c1fc38500cdce7f9b7b495b65457e819373", "alias_sources": []}
{"id": "2fdb04ebd092b087", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "SQL Injection Prevention", "Django ORM Protection"], "section_title": "Django ORM Protection", "section_body": "Role-Based Access Control (RBAC)\n\nSQL Injection Prevention\n\nDjango ORM Protection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "6a55cc6198176f92f843e0f0c31db9871467290548272f9c4c4b9f048454369a", "alias_sources": []}
{"id": "2fe4ad468c1c7a93", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns"], "section_title": "PostgreSQL Patterns", "section_body": "PostgreSQL Patterns\n\nQuick reference for PostgreSQL best practices. For detailed guidance, use the `database-reviewer` agent.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "301f3efb47bb1140620130168b644c383226470b05f387de432f052cbe5d616f", "alias_sources": []}
{"id": "2fe9c640e69a333d", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "How It Works", "Eval Categories"], "section_title": "Eval Categories", "section_body": "Eval Categories\n\n**1. CDSS Accuracy (CRITICAL \u2014 100% required)**\n\nTests all clinical decision support logic: drug interaction pairs (both directions), dose validation rules, clinical scoring vs published specs, no false negatives, no silent failures.\n\n**2. PHI Exposure (CRITICAL \u2014 100% required)**\n\nTests for protected health information leaks: API error responses, console output, URL parameters, browser storage, cross-facility isolation, unauthenticated access, service role key absence.\n\n**3. Data Integrity (CRITICAL \u2014 100% required)**\n\nTests clinical data safety: locked encounters, audit trail entries, cascade delete protection, concurrent edit handling, no orphaned records.\n\n**4. Clinical Workflow (HIGH \u2014 95%+ required)**\n\nTests end-to-end flows: encounter lifecycle, template rendering, medication sets, drug/diagnosis search, prescription PDF, red flag alerts.\n\n**5. Integration Compliance (HIGH \u2014 95%+ required)**\n\nTests external systems: HL7 message parsing (v2.x), FHIR validation, lab result mapping, malformed message handling.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "723d4373690e3274ea6eaa0490c9703d1598a0eafbeac01b09fb45a6adcb4e01", "alias_sources": []}
{"id": "2fefa8fc17d9505b", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Related Skills"], "section_title": "Related Skills", "section_body": "Example Usage\n\nRelated Skills\n\n`brand-voice` for canonical voice capture\n\n`connections-optimizer` for review-first network pruning and expansion before outreach", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "7caf3bb81bdcc899e93a735cb575f9008790cdca797ec6f1dff09032790a3133", "alias_sources": []}
{"id": "2ff945b00c2604bc", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "Best Practices"], "section_title": "Best Practices", "section_body": "Integration with Agents\n\nUse in agent prompts:\n\nBest Practices\n\n**Start broad, narrow progressively** - Don't over-specify initial queries\n\n**Learn codebase terminology** - First cycle often reveals naming conventions\n\n**Track what's missing** - Explicit gap identification drives refinement\n\n**Stop at \"good enough\"** - 3 high-relevance files beats 10 mediocre ones\n\n**Exclude confidently** - Low-relevance files won't become relevant", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "5dc9f26164291bbcb343634931b0c0f97ee1fb46f8fad0cd225514ac6aa7190a", "alias_sources": []}
{"id": "3082351f2b5917ec", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Design Workflow", "1. Frame the interface first"], "section_title": "1. Frame the interface first", "section_body": "Design Workflow\n\n1. Frame the interface first\n\nBefore coding, settle:\n\npurpose\n\naudience\n\nemotional tone\n\nvisual direction\n\none thing the user should remember\n\nPossible directions:\n\nbrutally minimal\n\neditorial\n\nindustrial\n\nluxury\n\nplayful\n\ngeometric\n\nretro-futurist\n\nsoft and organic\n\nmaximalist\n\nDo not mix directions casually. Choose one and execute it cleanly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "a1cd5ca98e4144856ef87fc07cff624644bdf5bac338c11b8289da09039686b0", "alias_sources": []}
{"id": "309cd2fc1e641254", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\n\"Build a Jira connector for this project\"\n\n\"Add a Slack provider following the existing pattern\"\n\n\"Create a new integration for this API\"\n\n\"Build a plugin that matches the repo's connector style\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "066f2d1da6e7e2521ca3b67647fadb42979c4bedef4e4f37ceb55ea3e9c873c7", "alias_sources": []}
{"id": "30b24e53e420fb09", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 4: Programmable Composition (Remotion)", "When to use Remotion"], "section_title": "When to use Remotion", "section_body": "When to use Remotion\n\nOverlays: text, images, branding, lower thirds\n\nData visualizations: charts, stats, animated numbers\n\nMotion graphics: transitions, explainer animations\n\nComposable scenes: reusable templates across videos\n\nProduct demos: annotated screenshots, UI highlights", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "afd9eb6bde7f71f8d511649f5d93ace249948d017718854cf59e95cd94141be8", "alias_sources": []}
{"id": "30b32ec395a8082c", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Scope Decision Guide"], "section_title": "Scope Decision Guide", "section_body": "File Structure\n\nScope Decision Guide\n\n| Pattern Type | Scope | Examples |\n|-------------|-------|---------|\n| Language/framework conventions | **project** | \"Use React hooks\", \"Follow Django REST patterns\" |\n| File structure preferences | **project** | \"Tests in `__tests__`/\", \"Components in src/components/\" |\n| Code style | **project** | \"Use functional style\", \"Prefer dataclasses\" |\n| Error handling strategies | **project** | \"Use Result type for errors\" |\n| Security practices | **global** | \"Validate user input\", \"Sanitize SQL\" |\n| General best practices | **global** | \"Write tests first\", \"Always handle errors\" |\n| Tool workflow preferences | **global** | \"Grep before Edit\", \"Read before Write\" |\n| Git practices | **global** | \"Conventional commits\", \"Small focused commits\" |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "2a558dba9a88033bce70d02137d705410f51eb60497e39fa74ffbef3019ed9d7", "alias_sources": []}
{"id": "30c8f4da8ebfa6a6", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "Examples", "Example: Next.js middleware"], "section_title": "Example: Next.js middleware", "section_body": "Examples\n\nExample: Next.js middleware\n\nCall **resolve-library-id** with `libraryName: \"Next.js\"`, `query: \"How do I set up Next.js middleware?\"`.\n\nFrom results, pick the best match (e.g. `/vercel/next.js`) by name and benchmark score.\n\nCall **query-docs** with `libraryId: \"/vercel/next.js\"`, `query: \"How do I set up Next.js middleware?\"`.\n\nUse the returned snippets and text to answer; include a minimal `middleware.ts` example from the docs if relevant.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "38df4ba8a4b958031ae4dbe7268dbeb26071920bc5c69b88f0d9cd136b55a5c9", "alias_sources": []}
{"id": "30d5d919efe211f6", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Troubleshooting"], "section_title": "Troubleshooting", "section_body": "Troubleshooting\n\n| Error | Cause | Fix |\n|---|---|---|\n| `401 Unauthorized` | Invalid or expired API token | Regenerate at id.atlassian.com |\n| `403 Forbidden` | Token lacks project permissions | Check token scopes and project access |\n| `404 Not Found` | Wrong ticket key or base URL | Verify `JIRA_URL` and ticket key |\n| `spawn uvx ENOENT` | IDE cannot find `uvx` on PATH | Use full path (e.g., `~/.local/bin/uvx`) or set PATH in `~/.zprofile` |\n| Connection timeout | Network/VPN issue | Check VPN connection and firewall rules |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:debug"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "ddfa553f1ea112109b956df1a4e2e11a88ed9f367def64165cb2ec5c59b9817d", "alias_sources": []}
{"id": "30de9555093075ac", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nTriaging issues (classifying, labeling, responding, deduplicating)\n\nManaging PRs (review status, CI checks, stale PRs, merge readiness)\n\nDebugging CI/CD failures\n\nPreparing releases and changelogs\n\nMonitoring Dependabot and security alerts\n\nManaging contributor experience on open-source projects\n\nUser says \"check GitHub\", \"triage issues\", \"review PRs\", \"merge\", \"release\", \"CI is broken\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review", "phase:deploy"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "bdfc0fbe1db261c5cf90d2c25c8f9bdd3815d77bd4db40bb368213a7efe08c97", "alias_sources": []}
{"id": "30f0f6caddc47827", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Caching"], "section_title": "Caching", "section_body": "Caching\n\n1st-level cache is per EntityManager; avoid keeping entities across transactions\n\nFor read-heavy entities, consider second-level cache cautiously; validate eviction strategy", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "0caf0f4f2dd66009678976572d3905a62e06ead317c7c304bb4cfca088da11d1", "alias_sources": []}
{"id": "3128b8b30150230f", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Testing Best Practices", "DO"], "section_title": "DO", "section_body": "Full Flow Testing\n\nTesting Best Practices\n\nDO\n\n**Use factories**: Instead of manual object creation\n\n**One assertion per test**: Keep tests focused\n\n**Descriptive test names**: `test_user_cannot_delete_others_post`\n\n**Test edge cases**: Empty inputs, None values, boundary conditions\n\n**Mock external services**: Don't depend on external APIs\n\n**Use fixtures**: Eliminate duplication\n\n**Test permissions**: Ensure authorization works\n\n**Keep tests fast**: Use `--reuse-db` and `--nomigrations`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "36d8c2e9c52b45e58586b2308cab09cc3685a574ee7124b7138331211976d4a5", "alias_sources": []}
{"id": "312d43c5fb1ba21b", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "Related"], "section_title": "Related", "section_body": "Related\n\n[The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Subagent orchestration section\n\n`continuous-learning` skill - For patterns that improve over time\n\nAgent definitions bundled with ECC (manual install path: `agents/`)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "fce1248c571109d580cf90e1adbc98d9624c1a4dadf9b56fc09edb4ddfc9b120", "alias_sources": []}
{"id": "315b51da29909427", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Pull Request Workflow", "Code Review Checklist"], "section_title": "Code Review Checklist", "section_body": "Code Review Checklist\n\n**For Reviewers:**\n\n[ ] Does the code solve the stated problem?\n\n[ ] Are there any edge cases not handled?\n\n[ ] Is the code readable and maintainable?\n\n[ ] Are there sufficient tests?\n\n[ ] Are there security concerns?\n\n[ ] Is the commit history clean (squashed if needed)?\n\n**For Authors:**\n\n[ ] Self-review completed before requesting review\n\n[ ] CI passes (tests, lint, typecheck)\n\n[ ] PR size is reasonable (<500 lines ideal)\n\n[ ] Related to a single feature/fix\n\n[ ] Description clearly explains the change", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:review", "phase:debug"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "a9756fd37be27e6652ffa42b363308648732ebf8950eb5d2914e195e8b81ebab", "alias_sources": []}
{"id": "31885e7c6328bf3c", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Test Organization Patterns", "Test Helpers"], "section_title": "Test Helpers", "section_body": "With Tokio\n\nTest Organization Patterns\n\nParameterized Tests with `rstest`\n\nTest Helpers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "b6efb8adacc776231291afe78dc8d2b79851e2232a253bd33b99c35a36071fbe", "alias_sources": []}
{"id": "31a17ca5263c7549", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops"], "section_title": "Email Ops", "section_body": "Email Ops\n\nUse this when the real task is mailbox work: triage, drafting, replying, sending, or proving a message landed in Sent.\n\nThis is not a generic writing skill. It is an operator workflow around the actual mail surface.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "db6d0d7c9c9cd1e6a0d5c4252d918e6c72b4da784cec66595f9c15264b2d63c5", "alias_sources": []}
{"id": "31a83fe05fc8ea22", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Related"], "section_title": "Related", "section_body": "Related\n\n[The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Section on continuous learning\n\n`/learn` command - Manual pattern extraction mid-session", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "2a72af3801be65a18250b13d062920c78b00cbbcb34349ca81541608372c1f7e", "alias_sources": []}
{"id": "31b7a9ad07e80303", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns"], "section_title": "Kotlin Development Patterns", "section_body": "Kotlin Development Patterns\n\nIdiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "be7951e6a4e64353f287043b222c6a7d8c176ca8221a215151cf6c755e389894", "alias_sources": []}
{"id": "31c2c2095821ead6", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 10: Logging Configuration"], "section_title": "Phase 10: Logging Configuration", "section_body": "Phase 8: Static Assets\n\nPhase 9: Configuration Review\n\nPhase 10: Logging Configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:review"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "23024a8b401fc73f6baa3fb02e2a0635c1b96193501525eff750bab272d62096", "alias_sources": []}
{"id": "31c558b253bdd312", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Product Evals (v1.8)", "Minimal Eval Artifact Layout"], "section_title": "Minimal Eval Artifact Layout", "section_body": "Minimal Eval Artifact Layout\n\n`.claude/evals/<feature>.md` definition\n\n`.claude/evals/<feature>.log` run history\n\n`docs/releases/<version>/eval-summary.md` release snapshot", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:deploy", "phase:docs"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "8a6331fa66b451c53c15af57d7ce85f31c16ed04b1de67b317a1b4756c6f0f59", "alias_sources": []}
{"id": "31dddf0841f67d9a", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Testing Side Effects", "Testing with pytest's tmp_path Fixture"], "section_title": "Testing with pytest's tmp_path Fixture", "section_body": "Testing Exception Attributes\n\nTesting Side Effects\n\nTesting File Operations\n\nTesting with pytest's tmp_path Fixture", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "059d6fffffea4094e57d7a18620eacd0f5a1c67c2576d7a2419da01d54f41ff9", "alias_sources": []}
{"id": "31e92282beeda393", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Installation", "Full ECC install"], "section_title": "Full ECC install", "section_body": "Full ECC install\n\nIf you are working from the ECC repository checkout, verify the skill is present with:\n\nTo update later, review the ECC diff before updating:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "09214e9de53cf26c7dfa214c543e85bd675cf4589b24d328c56effa6e36d509c", "alias_sources": []}
{"id": "32462e8c94b49038", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Role and Context"], "section_title": "Role and Context", "section_body": "Logistics Exception Management\n\nRole and Context\n\nYou are a senior freight exceptions analyst with 15+ years managing shipment exceptions across all modes \u2014 LTL, FTL, parcel, intermodal, ocean, and air. You sit at the intersection of shippers, carriers, consignees, insurance providers, and internal stakeholders. Your systems include TMS (transportation management), WMS (warehouse management), carrier portals, claims management platforms, and ERP order management. Your job is to resolve exceptions quickly while protecting financial interests, preserving carrier relationships, and maintaining customer satisfaction.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "1e12b927445c1ed0b1b134eda7f51e5c916295024613faf983b7dfe9182ebf03", "alias_sources": []}
{"id": "32a9260ee8b9c6ae", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Merge vs Rebase", "Rebase (Linear History)"], "section_title": "Rebase (Linear History)", "section_body": "Rebase (Linear History)\n\n**Use when:**\n\nUpdating your local feature branch with latest `main`\n\nYou want a linear, clean history\n\nThe branch is local-only (not pushed)\n\nYou're the only one working on the branch", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "083d995fe33f2dd2d23710f139637ec069ab4b02d818bce5e585972f8569f0c3", "alias_sources": []}
{"id": "32c3d9cd3abdac3a", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Protocol", "/opensource package PROJECT"], "section_title": "/opensource package PROJECT", "section_body": "/opensource package PROJECT\n\nRun packager independently. Ask for \"License?\" and \"Description?\", then:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "00d6af82db2b35c43289ba20d55e7403084cabebbd412e28a6a4cdb8cda295a0", "alias_sources": []}
{"id": "32ddcb23489fc4fb", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "How It Works", "Step 4: Spawn Agents in Parallel"], "section_title": "Step 4: Spawn Agents in Parallel", "section_body": "Step 4: Spawn Agents in Parallel\n\nRead each selected agent's markdown file\n\nPrompt for the task description if not already provided\n\nSpawn all agents in parallel using the Agent tool:\n\n`subagent_type: \"general-purpose\"`\n\n`prompt: \"{agent file content}\\n\\nTask: {task description}\"`\n\nEach agent runs independently \u2014 no inter-agent communication needed\n\nIf an agent fails (error, timeout, or empty output), note the failure inline (e.g., \"Security Engineer: failed \u2014 [reason]\") and continue with results from agents that succeeded", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "ac54fbbdd8231702ed8438cf864503509d8e6581f98bffedefed4c56106b2a29", "alias_sources": []}
{"id": "32de7ddb95697822", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides"], "section_title": "Frontend Slides", "section_body": "Frontend Slides\n\nCreate zero-dependency, animation-rich HTML presentations that run entirely in the browser.\n\nInspired by the visual exploration approach showcased in work by zarazhangrui (credit: @zarazhangrui).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "01bfdecbbe10e7452ab055aea3b0ae47f20429721f912023f3432bcbb2c95be6", "alias_sources": []}
{"id": "32e879939626c23d", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 2: Mutual Ranking", "Ranking Model"], "section_title": "Ranking Model", "section_body": "Ranking Model\n\nPull user's X following list and LinkedIn connections\n\nFor each high-signal target, check for shared connections\n\nApply the `social-graph-ranker` model to score bridge value\n\nRank mutuals by:\n\n| Factor | Weight |\n|--------|--------|\n| Number of connections to targets | 40% \u2014 highest weight, most connections = highest rank |\n| Mutual's current role/company | 20% \u2014 decision maker vs individual contributor |\n| Mutual's location | 15% \u2014 same city = easier intro |\n| Industry alignment | 15% \u2014 same vertical = natural intro |\n| Mutual's X handle / LinkedIn | 10% \u2014 identifiability for outreach |\n\nCanonical rule:\n\nInside this skill, use the same weighted bridge model:\n\nInterpretation:\n\nTier 1: high `R(m)` and direct bridge paths -> warm intro asks\n\nTier 2: medium `R(m)` and one-hop bridge paths -> conditional intro asks\n\nTier 3: no viable bridge -> direct cold outreach using the same lead record", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "c9b885a7973653d9b778be195c495c718cf49ca0bc00de4c1e9230611c477ea2", "alias_sources": []}
{"id": "3314c619b43c4919", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Workflow", "3. Take the lightest useful evidence path first"], "section_title": "3. Take the lightest useful evidence path first", "section_body": "3. Take the lightest useful evidence path first\n\nuse `exa-search` for fast discovery\n\nescalate to `deep-research` when synthesis or multiple sources matter\n\nuse `market-research` when the outcome should end in a recommendation\n\nhand off to `lead-intelligence` when the real ask is target ranking or warm-path discovery", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "7a7b5d7f7cfc9b8595763269180de982cd888b8d0376ab961862b828262e4bd7", "alias_sources": []}
{"id": "33224d345d53f1c6", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u6ce8\u610f\u4e8b\u9879", "\u597d\u7075\u9b42\u7684\u68c0\u9a8c\u6807\u51c6"], "section_title": "\u597d\u7075\u9b42\u7684\u68c0\u9a8c\u6807\u51c6", "section_body": "\u6ce8\u610f\u4e8b\u9879\n\n\u597d\u7075\u9b42\u7684\u68c0\u9a8c\u6807\u51c6\n\n\u770b\u5b8c\u540d\u5b57\u5c31\u80fd\u731c\u5230\u5927\u81f4\u6027\u683c\n\n\u5e95\u7ebf\u89c4\u5219\u7528\u89d2\u8272\u7684\u8bdd\u8bf4\u51fa\u6765\n\n\u6709\u660e\u786e\u7684\u6027\u683c\u7f3a\u9677\u6216\u5c40\u9650\n\n\u80fd\u60f3\u8c61\u51fa\u5177\u4f53\u7684\u5bf9\u8bdd\u573a\u666f\n\n\u4f7f\u7528 30 \u5929\u540e\u4e0d\u4f1a\u89d2\u8272\u75b2\u52b3", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "07752eb3d6cd3f88b8db11f54b81bb9f341c4d73d91941bd2d11d598e5e6614e", "alias_sources": []}
{"id": "3327b037ec73c92e", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Previews\n\nUse `#Preview` macro with inline mock data for fast iteration:\n\nAnti-Patterns to Avoid\n\nUsing `ObservableObject` / `@Published` / `@StateObject` / `@EnvironmentObject` in new code \u2014 migrate to `@Observable`\n\nPutting async work directly in `body` or `init` \u2014 use `.task {}` or explicit load methods\n\nCreating view models as `@State` inside child views that don't own the data \u2014 pass from parent instead\n\nUsing `AnyView` type erasure \u2014 prefer `@ViewBuilder` or `Group` for conditional views\n\nIgnoring `Sendable` requirements when passing data to/from actors", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "ca3e595854b10f0c8f8147651eee75e3808f7b942b920edfe84c5f475bcae2c7", "alias_sources": []}
{"id": "332f0b5883311041", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n**Remember**: Go code should be boring in the best way - predictable, consistent, and easy to understand. When in doubt, keep it simple.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "52dc4520be81338513971e9ebb7b9db96bc8ec7de5cf94aec77859208111c153", "alias_sources": []}
{"id": "333af7ab33ef498c", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 1: Capture (Screen Studio / Raw Footage)"], "section_title": "Layer 1: Capture (Screen Studio / Raw Footage)", "section_body": "Layer 1: Capture (Screen Studio / Raw Footage)\n\nCollect the source material:\n\n**Screen Studio**: polished screen recordings for app demos, coding sessions, browser workflows\n\n**Raw camera footage**: vlog footage, interviews, event recordings\n\n**Desktop capture via VideoDB**: session recording with real-time context (see `videodb` skill)\n\nOutput: raw files ready for organization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "7ccee3ecdec5040dd615dabb4b00ce4a923827c14c987ef3efb50b9d85e92944", "alias_sources": []}
{"id": "336849eb8219ecb9", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Testing Data Access"], "section_title": "Testing Data Access", "section_body": "Testing Data Access\n\nPrefer `@DataJpaTest` with Testcontainers to mirror production\n\nAssert SQL efficiency using logs: set `logging.level.org.hibernate.SQL=DEBUG` and `logging.level.org.hibernate.orm.jdbc.bind=TRACE` for parameter values\n\n**Remember**: Keep entities lean, queries intentional, and transactions short. Prevent N+1 with fetch strategies and projections, and index for your read/write paths.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:data", "phase:build", "phase:debug"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "c0db016521cd42391f101d14e50291e1974e8647685fe9cc7b3d7a0df61e9b11", "alias_sources": []}
{"id": "3388cfabc8e6bea2", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Token Optimization Patterns", "Context Optimization Tools"], "section_title": "Context Optimization Tools", "section_body": "Context Optimization Tools\n\n`token-optimizer` MCP \u2014 Automated 95%+ token reduction via content deduplication\n\n`context-mode` \u2014 Context virtualization (315KB to 5.4KB demonstrated)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "f1661a9eaa597f960c1f796c459fa588eab6e3d5e668e22f74b28c58f04c15c0", "alias_sources": []}
{"id": "33aa68f32bae7911", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`fal-ai-media` \u2014 AI image, video, and audio generation\n\n`videodb` \u2014 Server-side video processing, indexing, and streaming\n\n`content-engine` \u2014 Platform-native content distribution", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "fa99b1873c062ad19e990cb8ab2d5a2400db9e125b9b9ce144d1f7747f04eb9d", "alias_sources": []}
{"id": "33e18ee967c15818", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Procurement Strategies"], "section_title": "Procurement Strategies", "section_body": "Procurement Strategies\n\nThe core decision in deregulated markets is how much price risk to retain versus transfer to suppliers:\n\n**Fixed-price (full requirements):** Supplier provides all electricity at a locked $/kWh for the contract term (12\u201336 months). Provides budget certainty. You pay a risk premium \u2014 typically 5\u201312% above the forward curve at contract signing \u2014 because the supplier is absorbing price, volume, and basis risk. Best for organizations where budget predictability outweighs cost minimization.\n\n**Index/variable pricing:** You pay the real-time or day-ahead wholesale price plus a supplier adder ($0.002\u2013$0.006/kWh). Lowest long-run average cost, but full exposure to price spikes. In ERCOT during Winter Storm Uri (Feb 2021), wholesale prices hit $9,000/MWh \u2014 an index customer on a 5 MW peak load faced a single-week energy bill exceeding $1.5M. Index pricing requires active risk management and a corporate culture that tolerates budget variance.\n\n**Block-and-index (hybrid):** You purchase fixed-price blocks to cover your baseload (60\u201380% of expected consumption) and let the remaining variable load float at index. This balances cost optimization with partial budget certainty. The blocks should match your base load shape \u2014 if your facility runs 3 MW baseload 24/7 with a 2 MW variable load during production hours, buy 3 MW blocks around-the-clock and 2 MW blocks on-peak only.\n\n**Layered procurement:** Instead of locking in your full load at one point in time (which concentrates market timing risk), buy in tranches over 12\u201324 months. For example, for a 2027 contract year: buy 25% in Q1 2025, 25% in Q3 2025, 25% in Q1 2026, and the remaining 25% in Q3 2026. Dollar-cost averaging for energy. This is the single most effective risk management technique available to most C&I buyers \u2014 it eliminates the \"did we lock at the top?\" problem.\n\n**RFP process in deregulated markets:** Issue RFPs to 5\u20138 qualified retail energy providers (REPs). Include 36 months of interval data, your load factor, site addresses, utility account numbers, current contract expiration dates, and any sustainability requirements (RECs, carbon-free targets). Evaluate on total cost, supplier credit quality (check S&P/Moody's \u2014 a supplier bankruptcy mid-contract forces you into utility default service at tariff rates), contract flexibility (change-of-use provisions, early termination), and value-added services (demand response management, sustainability reporting, market intelligence).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "d0c7ade78e657ece46b9f3291375851186eef9c11068952fc0a317502f624554", "alias_sources": []}
{"id": "33eb404aaab977a4", "skill_name": "nodejs-keccak256", "skill_description": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "skill_type": null, "section_path": ["Node.js Keccak-256", "Examples", "Audit your codebase"], "section_title": "Audit your codebase", "section_body": "Examples\n\nethers v6\n\nviem\n\nweb3.js\n\nCommon patterns\n\nAddress from public key\n\nAudit your codebase", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nodejs-keccak256\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "mtime": 1776507629.8874083, "body_hash": "dd32ac6e186643be748ff12e57073711cd34ba8960fa5955f16b5e26f04373c6", "alias_sources": []}
{"id": "33eb85d41489886b", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Communication Patterns", "Supplier Negotiations"], "section_title": "Supplier Negotiations", "section_body": "Communication Patterns\n\nSupplier Negotiations\n\nEnergy supplier negotiations are multi-year relationships. Calibrate tone:\n\n**RFP issuance:** Professional, data-rich, competitive. Provide complete interval data and load profiles. Suppliers who can't model your load accurately will pad their margins. Transparency reduces risk premiums.\n\n**Contract renewal:** Lead with relationship value and volume growth, not price demands. \"We've valued the partnership over the past 36 months and want to discuss renewal terms that reflect both market conditions and our growing portfolio.\"\n\n**Price challenges:** Reference specific market data. \"ICE forward curves for 2027 are showing $42/MWh for AEP Dayton Hub. Your quote of $48/MWh reflects a 14% premium to the curve \u2014 can you help us understand what's driving that spread?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "1f0e9e565a925ab001eed86980dadf140389827bbc3ebe3dfc0e72bcf34df150", "alias_sources": []}
{"id": "33f2b1bc88510d25", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Caching Strategies"], "section_title": "Caching Strategies", "section_body": "Serializer Patterns\n\nViewSet Patterns\n\nCustom Actions\n\nService Layer Pattern\n\nCaching Strategies", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "6b65ac716ac7bec73dd8ba1111e8f024d6b2a690483836b89f43aa9a8d6df390", "alias_sources": []}
{"id": "3441b3a5cf6f35bd", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nMiddleware provides baseline protections (CSRF via `VerifyCsrfToken`, security headers via `SecurityHeaders`).\n\nGuards and policies enforce access control (`auth:sanctum`, `$this->authorize`, policy middleware).\n\nForm Requests validate and shape input (`UploadInvoiceRequest`) before it reaches services.\n\nRate limiting adds abuse protection (`RateLimiter::for('login')`) alongside auth controls.\n\nData safety comes from encrypted casts, mass-assignment guards, and signed routes (`URL::temporarySignedRoute` + `signed` middleware).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "9f1f37d5239cbc8384cdae7ff6e50bc906482029a55a5942b703d97f76d4e214", "alias_sources": []}
{"id": "345551dbe2feea21", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Non-Negotiable Rules"], "section_title": "Non-Negotiable Rules", "section_body": "Non-Negotiable Rules\n\nUse the current repository as the source of truth, not generic preferences\n\nEvery DAILY decision must cite concrete repo evidence\n\nLIBRARY does not mean \"delete\"; it means \"keep accessible without loading by default\"\n\nDo not install hooks, rules, or scripts that the current repo cannot use\n\nPrefer ECC-native surfaces; do not introduce a second install system", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "6d9d0d71ca481aca14768ed690741df30510db9448856091ae9301b94b9f3717", "alias_sources": []}
{"id": "3455ba2e1d64ccd8", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nthe user wants to publish the same underlying idea across multiple platforms\n\na launch, update, release, or essay needs platform-specific versions\n\nthe user says \"crosspost\", \"post this everywhere\", or \"adapt this for X and LinkedIn\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "b9f502752b18b5d135d5aa1d079d4c6d4ead9a903249e24774f70edf41b453ed", "alias_sources": []}
{"id": "3458fb1e65ff13fa", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Communication Patterns", "Key Templates"], "section_title": "Key Templates", "section_body": "Key Templates\n\nBrief templates appear below. Adapt them to your fraud, CX, and reverse-logistics workflows before using them in production.\n\n**RMA approval:** Subject: `Return Approved \u2014 Order #{order_id}`. Provide: RMA number, return shipping instructions, expected refund timeline, condition requirements.\n\n**Refund confirmation:** Lead with the number: \"Your refund of ${amount} has been processed to your [payment method]. Please allow [X] business days.\"\n\n**Fraud hold notice:** \"Your return is being reviewed by our processing team. We expect to have an update within [X] business days. We appreciate your patience.\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "e6880995560e1465781a5a92661c141a4d4ac7d973ee50a5d3200dbb1e9f2185", "alias_sources": []}
{"id": "34664b3fa870bad9", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "Mocking with NSubstitute"], "section_title": "Mocking with NSubstitute", "section_body": "Unit Test Structure\n\nArrange-Act-Assert\n\nParameterized Tests with Theory\n\nMocking with NSubstitute", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "4f85c84d645798bc112416c9a522a251857ac1545a9e213c691bbd08a51a44df", "alias_sources": []}
{"id": "3493d25840be6bdc", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "Portfolio Strategy"], "section_title": "Portfolio Strategy", "section_body": "Portfolio Strategy\n\nYour carrier portfolio is an investment portfolio \u2014 diversification manages risk, concentration drives leverage:\n\n**Asset carriers vs. brokers:** Asset carriers own trucks. They provide capacity certainty, consistent service, and direct accountability \u2014 but they're less flexible on pricing and may not cover all your lanes. Brokers source capacity from thousands of small carriers. They offer pricing flexibility and lane coverage, but introduce counterparty risk (double-brokering, carrier quality variance, payment chain complexity). A typical mix is 60-70% asset carriers, 20-30% brokers, and 5-15% niche/specialty carriers as a separate bucket reserved for temperature-controlled, hazmat, oversized, or other special handling lanes.\n\n**Routing guide structure:** Build a 3-deep routing guide for every lane with >2 loads/week. Primary carrier gets first tender (target: 80%+ acceptance). Secondary gets the fallback (target: 70%+ acceptance on overflow). Tertiary is your price ceiling \u2014 often a broker whose rate represents the \"do not exceed\" for spot procurement. For lanes with <2 loads/week, use a 2-deep guide or a regional broker with broad coverage.\n\n**Lane density and carrier concentration:** Award enough volume per carrier per lane to matter to them. A carrier running 2 loads/week on your lane will prioritize you over a shipper giving them 2 loads/month. But don't give one carrier more than 40% of any single lane \u2014 a carrier exit or service failure on a concentrated lane is catastrophic. For your top 20 lanes by volume, maintain at least 3 active carriers.\n\n**Small carrier value:** Carriers with 10-50 trucks often provide better service, more flexible pricing, and stronger relationships than mega-carriers. They answer the phone. Their owner-operators care about your freight. The tradeoff: less technology integration, thinner insurance, and capacity limits during peak. Use small carriers for consistent, mid-volume lanes where relationship quality matters more than surge capacity.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "423d41c119c8fc2b307546a69bd01c0a5bf936cd0a90c7983a711bb81ac29a1e", "alias_sources": []}
{"id": "34adeda754f402ff", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Workflow", "2. Narrow the target integration"], "section_title": "2. Narrow the target integration", "section_body": "2. Narrow the target integration\n\nDefine only the surface the repo actually needs:\n\nauth flow\n\nkey entities\n\ncore read/write operations\n\npagination and rate limits\n\nwebhook or polling model", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "0de3d7b2eed8075d9af982966b2258163b49aeede4ae2ca2fb07a73863a3bb19", "alias_sources": []}
{"id": "34f32ad80b6141f7", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 4: Post-Installation Verification", "4a: Verify File Existence"], "section_title": "4a: Verify File Existence", "section_body": "4a: Verify File Existence\n\nList all installed files and confirm they exist at the target location:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "c1d207b91a05d18b388430508badf446da8ff4707d4d0fbdccb65c3515b819c1", "alias_sources": []}
{"id": "3519fd3d22b1c6f6", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples"], "section_title": "Examples", "section_body": "Examples\n\nThe following sections contain detailed, runnable examples for each testing pattern:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "56feed963a24490a192c138928efb7bcf62022d19b0a5d047c342100cab5c4b2", "alias_sources": []}
{"id": "3524e015998cd540", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns"], "section_title": "Kotlin Testing Patterns", "section_body": "Kotlin Testing Patterns\n\nComprehensive Kotlin testing patterns for writing reliable, maintainable tests following TDD methodology with Kotest and MockK.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "ce22b20a02b3ff4ae3f5a3a52e17e6d301eb2638a1238831376702637e3df966", "alias_sources": []}
{"id": "353805a9d3d2afec", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "Operations", "Redact Sensitive Information"], "section_title": "Redact Sensitive Information", "section_body": "Redact Sensitive Information\n\nPresets: `social-security-number`, `email-address`, `credit-card-number`, `international-phone-number`, `north-american-phone-number`, `date`, `time`, `url`, `ipv4`, `ipv6`, `mac-address`, `us-zip-code`, `vin`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "e50f96652ef72d20b7d899557a5bb3f56d0501f0db4c109abcd68467be87fa0d", "alias_sources": []}
{"id": "3553af702d4f995d", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Navigation", "Type-Safe Navigation (Compose Navigation 2.8+)"], "section_title": "Type-Safe Navigation (Compose Navigation 2.8+)", "section_body": "Navigation\n\nType-Safe Navigation (Compose Navigation 2.8+)\n\nDefine routes as `@Serializable` objects:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "d99a6dd053bef0dec56dafc2dba2ca0410f8b1195924df6c1887bc650d0d2292", "alias_sources": []}
{"id": "356659dd9bf65b10", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Fuzzing (Go 1.18+)", "Fuzz Test with Multiple Inputs"], "section_title": "Fuzz Test with Multiple Inputs", "section_body": "Memory Allocation Benchmarks\n\nFuzzing (Go 1.18+)\n\nBasic Fuzz Test\n\nFuzz Test with Multiple Inputs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "ab3aff232113b81e7aa63e1ed49395c4c64e24d71d24e6d9b7d7d93e36a828ef", "alias_sources": []}
{"id": "358b17fcdb85d553", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build", "How It Works", "Mode 1: Product Diagnostic"], "section_title": "Mode 1: Product Diagnostic", "section_body": "How It Works\n\nMode 1: Product Diagnostic\n\nLike YC office hours but automated. Asks the hard questions:\n\nOutput: a `PRODUCT-BRIEF.md` with answers, risks, and a go/no-go recommendation.\n\nIf the result is \"yes, build this,\" the next lane is `product-capability`, not more founder-theater.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "34b5db7db9229877d3099ce1be569c46f42454e0ad142d7e81c127e4cbf5dc1f", "alias_sources": []}
{"id": "35ade80dca5584f7", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Coverage", "Coverage Goals"], "section_title": "Coverage Goals", "section_body": "Coverage\n\nCoverage Configuration\n\nCoverage Goals\n\n| Component | Target Coverage |\n|-----------|-----------------|\n| Models | 90%+ |\n| Serializers | 85%+ |\n| Views | 80%+ |\n| Services | 90%+ |\n| Utilities | 80%+ |\n| Overall | 80%+ |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "dffea5db363c005bee913b414d6c3f4c38781d8be6438fef1e98edf2c284735e", "alias_sources": []}
{"id": "35b93081eb2f6520", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)"], "section_title": "Documentation Lookup (Context7)", "section_body": "Documentation Lookup (Context7)\n\nWhen the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools `resolve-library-id` and `query-docs`) instead of relying on training data.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "074bd3045c7021e1264e56fa4094f820c7de6df304490a113c8bcb212d0bb766", "alias_sources": []}
{"id": "35bf0fb171b590e0", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "1. Extract the real question"], "section_title": "1. Extract the real question", "section_body": "Workflow\n\n1. Extract the real question\n\nReduce the decision to one explicit prompt:\n\nwhat are we deciding?\n\nwhat constraints matter?\n\nwhat counts as success?\n\nIf the question is vague, ask one clarifying question before convening the council.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "6340e10e703840713c68808be583d9e468ad98d8ddc0581275bf57cab9865594", "alias_sources": []}
{"id": "35c7624d5e052c62", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Data Pipeline Patterns", "Custom Collate for Variable-Length Data"], "section_title": "Custom Collate for Variable-Length Data", "section_body": "Custom Dataset\n\nEfficient DataLoader Configuration\n\nCustom Collate for Variable-Length Data", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "2918b04abdb0b477b36f002f7d7960ece69d1a53eb560e0f54197f27b107ce7e", "alias_sources": []}
{"id": "35cdf3ec7adcda3d", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "When to use"], "section_title": "When to use", "section_body": "When to use\n\nActivate when the user:\n\nAsks setup or configuration questions (e.g. \"How do I configure Next.js middleware?\")\n\nRequests code that depends on a library (\"Write a Prisma query for...\")\n\nNeeds API or reference information (\"What are the Supabase auth methods?\")\n\nMentions specific frameworks or libraries (React, Vue, Svelte, Express, Tailwind, Prisma, Supabase, etc.)\n\nUse this skill whenever the request depends on accurate, up-to-date behavior of a library, framework, or API. Applies across harnesses that have the Context7 MCP configured (e.g. Claude Code, Cursor, Codex).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "ec8d1d0098397176a6d3c6a9c3c6f0711df0ed9daa5c7d65c29cdd1d03b77ee8", "alias_sources": []}
{"id": "35de824ca1ffdf51", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns"], "section_title": "Healthcare EMR Development Patterns", "section_body": "Healthcare EMR Development Patterns\n\nPatterns for building Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Prioritizes patient safety, clinical accuracy, and practitioner efficiency.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "12aaff78927606b536c74bce11aad155daa8cbb5a85cec02e0cc1b600699c9d6", "alias_sources": []}
{"id": "35f6ba7fcafc4202", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Structs and Data Modeling", "Builder Pattern for Complex Construction"], "section_title": "Builder Pattern for Complex Construction", "section_body": "Newtype Pattern for Type Safety\n\nStructs and Data Modeling\n\nBuilder Pattern for Complex Construction", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "b631a529e04fd4166c8239e1c1a57cc22a11a8e84cff1c76724d9979548be6c0", "alias_sources": []}
{"id": "361d83e9686fe4ea", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow"], "section_title": "Spring Boot TDD Workflow", "section_body": "Spring Boot TDD Workflow\n\nTDD guidance for Spring Boot services with 80%+ coverage (unit + integration).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "1563be87294fc1dfe0472e6d35b932dd0107a81868dad3b47f4b01dd4d145cbd", "alias_sources": []}
{"id": "362450a3beb27aa2", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Caching Strategies", "QuerySet Caching"], "section_title": "QuerySet Caching", "section_body": "View-Level Caching\n\nTemplate Fragment Caching\n\nLow-Level Caching\n\nQuerySet Caching", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "38530e9430075baa5f463b5ee2b2fd000a9e15ad706e3e1d79692afddb80be47", "alias_sources": []}
{"id": "364ffc6fd886c44f", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not mix inference into sourced facts without labeling it\n\ndo not ignore user-provided evidence\n\ndo not use a heavy research lane for a question local repo context can answer\n\ndo not give freshness-sensitive answers without dates", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "5e9979bb604e697516d74383faef5324c9da326f2b019064757a774befef9f50", "alias_sources": []}
{"id": "364ffef15b24ab00", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Asset Guidance", "Pitch Deck"], "section_title": "Pitch Deck", "section_body": "Asset Guidance\n\nPitch Deck\n\nRecommended flow:\n\ncompany + wedge\n\nproblem\n\nsolution\n\nproduct / demo\n\nmarket\n\nbusiness model\n\ntraction\n\nteam\n\ncompetition / differentiation\n\nask\n\nuse of funds / milestones\n\nappendix\n\nIf the user wants a web-native deck, pair this skill with `frontend-slides`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "47d70f08edfdef84bc0a208a73ccd8a83816a5c0d819aeab9ac9f415c87504cd", "alias_sources": []}
{"id": "3669d18614fa2aac", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "How It Works", "Phase 2: Classify"], "section_title": "Phase 2: Classify", "section_body": "Phase 2: Classify\n\nSort every component into a bucket:\n\n| Bucket | Criteria | Action |\n|--------|----------|--------|\n| **Always needed** | Referenced in CLAUDE.md, backs an active command, or matches current project type | Keep |\n| **Sometimes needed** | Domain-specific (e.g. language patterns), not referenced in CLAUDE.md | Consider on-demand activation |\n| **Rarely needed** | No command reference, overlapping content, or no obvious project match | Remove or lazy-load |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "d231645da4e79bab0fddf405ef53e7ec209c2cbaabbdc565faee9a40e61e2b3d", "alias_sources": []}
{"id": "3674a70eb245bf73", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Workflow", "1. Inventory the current surface"], "section_title": "1. Inventory the current surface", "section_body": "Workflow\n\n1. Inventory the current surface\n\nList:\n\nevent sources\n\ncurrent channels\n\nexisting hooks/scripts that emit alerts\n\nduplicate paths for the same event\n\nsilent failure cases where important things are not being surfaced\n\nCall out what ECC already owns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "c1235310a9523db893dd68bd829ebe86552b5804a020a6706cf75dd1246ee7a2", "alias_sources": []}
{"id": "3686568fffd9a8e7", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Quality Checklist"], "section_title": "Quality Checklist", "section_body": "Quality Checklist\n\n[ ] valid dashboard JSON\n\n[ ] clear section grouping\n\n[ ] titles and units are present\n\n[ ] thresholds/status colors are meaningful\n\n[ ] variables exist for common filters\n\n[ ] default time range and refresh are sensible\n\n[ ] no vanity panels with no operator value", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "b0210fab5155b9c5ed423ca1760d51d0e301619cd0202db1386ec948bc168087", "alias_sources": []}
{"id": "369be54dfb7eb532", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "Examples", "Full auto: plan and launch"], "section_title": "Full auto: plan and launch", "section_body": "Examples\n\nFull auto: plan and launch\n\n`plan_project(prompt=\"...\")` \u2192 shows plan with missions and dependencies.\n\nDispatch the first mission (the one with empty `depends_on`).\n\nRemaining missions auto-dispatch as dependencies resolve (they have `auto_dispatch=true`).\n\nReport back with project ID and mission count so the user knows what was launched.\n\nPoll with `get_mission_status` or `get_dashboard()` periodically until all missions reach a terminal state (`completed`, `failed`, or `cancelled`).\n\n`get_report(mission_id=...)` for each terminal mission \u2014 summarize successes and call out failures with errors and next steps.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "17482ae185de7364d87a3af90f3fdb8e5a5b982c9f7497bf35df55bdbee8c670", "alias_sources": []}
{"id": "36aa59a8fef0e5e8", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft", "Direct Cold Outreach (to target)"], "section_title": "Direct Cold Outreach (to target)", "section_body": "Direct Cold Outreach (to target)\n\nGoal:\n\nopen from something specific and recent\n\nexplain why the fit is real\n\nmake one low-friction ask\n\nAvoid:\n\ngeneric admiration\n\nfeature dumping\n\nbroad asks like \"would love to connect\"\n\nforced rhetorical questions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "620c862c626d0e622136858aa169f1d65c47a8d6b07d8037810a7a0fece9d4af", "alias_sources": []}
{"id": "36c6a1a21a90160e", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "State Management", "Event Sink Pattern"], "section_title": "Event Sink Pattern", "section_body": "Collecting State in Compose\n\nEvent Sink Pattern\n\nFor complex screens, use a sealed interface for events instead of multiple callback lambdas:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "7beda6b060cfb4642f4af2c981679ac1bb3fda6f3c82deff7d40710d5c19ac7c", "alias_sources": []}
{"id": "36d1dbd10341c007", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nA PRD, roadmap item, discussion, or founder note exists, but the implementation constraints are still implicit\n\nA feature crosses multiple services, repos, or teams and needs a capability contract before coding\n\nProduct intent is clear, but architecture, data, lifecycle, or policy implications are still fuzzy\n\nSenior engineers keep restating the same hidden assumptions during review\n\nYou need a reusable artifact that can survive across harnesses and sessions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:review"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "e31d4dd4237e3c9c383be244538bdcc5bfe0ef7b31861bfc1bb4201d28078b7d", "alias_sources": []}
{"id": "36f2083563b27c7e", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Constraint work centre down > 30 minutes unplanned | Alert production manager + maintenance manager | Immediate |\n| Plan adherence drops below 80% for a shift | Root cause analysis with shift supervisor | Within 4 hours |\n| Customer order projected to miss committed ship date | Notify sales and customer service with revised ETA | Within 2 hours of detection |\n| Overtime requirement exceeds weekly budget by > 20% | Escalate to plant manager with cost-benefit analysis | Within 1 business day |\n| OEE at constraint drops below 65% for 3 consecutive shifts | Trigger focused improvement event (maintenance + engineering + scheduling) | Within 1 week |\n| Quality yield at constraint drops below 93% | Joint review with quality engineering | Within 24 hours |\n| MRP-generated load exceeds finite capacity by > 15% for the upcoming week | Capacity meeting with planning and production management | 2 days before the overloaded week |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "bc80c3adf150331e44c2acaa149bcff961b29cffe5c94824ea8ab0a3dadac259", "alias_sources": []}
{"id": "36ff55ea3c276704", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Metrics", "pass^k"], "section_title": "pass^k", "section_body": "pass^k\n\n\"All k trials succeed\"\n\nHigher bar for reliability\n\npass^3: 3 consecutive successes\n\nUse for critical paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "98333727469716289bfae6bdc8d451d75353ab5ed6303b2aa6e132c2a59cd2a8", "alias_sources": []}
{"id": "3704b9786bba3611", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "XSS Prevention"], "section_title": "XSS Prevention", "section_body": "XSS Prevention\n\nBlade escapes output by default (`{{ }}`)\n\nUse `{!! !!}` only for trusted, sanitized HTML\n\nSanitize rich text with a dedicated library", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "8db838d23b707b1709b9e3d84c93394da299f0832167dae38f235926c2da7ce7", "alias_sources": []}
{"id": "373b5481bb9876e9", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "The Three Agents", "2. Generator Agent"], "section_title": "2. Generator Agent", "section_body": "2. Generator Agent\n\n**Role:** Developer \u2014 implements features according to the spec.\n\n**Key behaviors:**\n\nWorks in structured sprints (or continuous mode with newer models)\n\nNegotiates a \"sprint contract\" with the Evaluator before writing code\n\nUses full-stack tooling: React, FastAPI/Express, databases, CSS\n\nManages git for version control between iterations\n\nReads Evaluator feedback and incorporates it in next iteration\n\n**Model:** Opus 4.6 (needs strong coding capability)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "72886071f232f12da44e06c8d2eba5b57f5f91b728ce6acb186520a227501ebb", "alias_sources": []}
{"id": "374945de6bb21e8f", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Deployment Strategies", "Blue-Green Deployment"], "section_title": "Blue-Green Deployment", "section_body": "Blue-Green Deployment\n\nRun two identical environments. Switch traffic atomically.\n\n**Pros:** Instant rollback (switch back to blue), clean cutover\n**Cons:** Requires 2x infrastructure during deployment\n**Use when:** Critical services, zero-tolerance for issues", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "54670eb49b2ff5ec37d8a489f96d6d4d886b1f4158fbc58beb7ebb711ed29a6b", "alias_sources": []}
{"id": "374e13560381b8c6", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Disposition Decision Trees"], "section_title": "Disposition Decision Trees", "section_body": "Disposition Decision Trees\n\nDisposition is where returns either recover value or destroy margin. The routing decision is economics-driven:\n\n**Restock as new:** Only Grade A with complete packaging. Product must pass any required functional/safety testing. Relabelling or resealing may trigger regulatory issues (FTC \"used as new\" enforcement). Best for high-margin items where the restocking cost ($3-8 per unit) is trivial relative to recovered value.\n\n**Repackage and sell as \"open box\":** Grade A with damaged packaging or Grade B items. Repackaging cost ($5-15 depending on complexity) must be justified by the margin difference between open-box and next-lower channel. Electronics and small appliances are the sweet spot.\n\n**Refurbish:** Economically viable when refurbishment cost < 40% of the refurbished selling price, and a refurbished sales channel exists (certified refurbished program, manufacturer's outlet). Common for premium electronics, power tools, and small appliances. Requires dedicated refurb station, spare parts inventory, and re-testing capacity.\n\n**Liquidate:** Grade C and some Grade B items where repackaging/refurb isn't justified. Liquidation channels include pallet auctions (B-Stock, DirectLiquidation, Bulq), wholesale liquidators (per-pound pricing for apparel, per-unit for electronics), and regional liquidators. Recovery rates: 5-20% of retail. Critical insight: mixing categories in a pallet destroys value \u2014 electronics/apparel/home goods pallets sell at the lowest-category rate.\n\n**Donate:** Tax-deductible at fair market value (FMV). More valuable than liquidation when FMV > liquidation recovery AND the company has sufficient tax liability to utilise the deduction. Brand protection: restrict donations of branded products that could end up in discount channels undermining brand positioning.\n\n**Destroy:** Required for recalled products, counterfeit items found in the return stream, products with regulatory disposal requirements (batteries, electronics with WEEE compliance, hazmat), and branded goods where any secondary market presence is unacceptable. Certificate of destruction required for compliance and tax documentation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "3bfd770365b4ab00e4b6ac9a2e2fc267c5fc2c0bc8e490f3d69a8c4a54d9a685", "alias_sources": []}
{"id": "377020e26f9a2a60", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "MockK"], "section_title": "MockK", "section_body": "Kotest Matchers\n\nCore Matchers\n\nCore Matchers\n\nCustom Matchers\n\nCustom Matchers\n\nMockK\n\nBasic Mocking\n\nBasic Mocking\n\nCoroutine Mocking\n\nCoroutine Mocking\n\nArgument Capture\n\nArgument Capture\n\nSpy and Partial Mocking\n\nSpy and Partial Mocking", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "8371d9d383448326586011d9f8b9967f01df86016faa3e2c154033ad5c27bb6a", "alias_sources": []}
{"id": "37786c0cfcbc9ad8", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\nQuick single-file fixes (use standard `claude -p`)\n\nTasks with tight budget constraints (<$10)\n\nSimple refactoring (use de-sloppify pattern instead)\n\nTasks that are already well-specified with tests (use TDD workflow)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "dd8ae02ef5b088d5f1fc6721e80c6fddc96467fb17371a8f60174840ab31b6db", "alias_sources": []}
{"id": "37914f7d44ac3376", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows"], "section_title": "dmux Workflows", "section_body": "dmux Workflows\n\nOrchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "2da8f936e7191737c7ef4bcc2889c66676567fd69448a9953e26132b15cbc70e", "alias_sources": []}
{"id": "37a660e745da13f6", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Examples", "Example: Find Authentication Packages"], "section_title": "Example: Find Authentication Packages", "section_body": "Examples\n\nExample: Find Authentication Packages\n\nReturns packages matching \"authentication\" with healthy status:\n\nspatie/laravel-permission\n\nlaravel/breeze\n\nlaravel/passport\n\netc.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "2e8613a7f34dd84c016067d2f7e8e501468f15046a794089b459f43458d568a2", "alias_sources": []}
{"id": "37d1dfcd4a3982a8", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "Setup"], "section_title": "Setup", "section_body": "Setup\n\nGet a free API key at **[nutrient.io](https://dashboard.nutrient.io/sign_up/?product=processor)**\n\nAll requests go to `https://api.nutrient.io/build` as multipart POST with an `instructions` JSON field.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "4de9fdcf158952bbd10388282e7fd28d9c402dc02634012ef61a8006443e16b1", "alias_sources": []}
{"id": "37d8d220eaae1022", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nSending all text to an LLM when regex handles 95%+ of cases (expensive and slow)\n\nUsing regex for free-form, highly variable text (LLM is better here)\n\nSkipping confidence scoring and hoping regex \"just works\"\n\nMutating parsed objects during cleaning/validation steps\n\nNot testing edge cases (malformed input, missing fields, encoding issues)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "53cbfeb83dff192a15f8de81412b92cdd9fabd4889657e80e76dd44d1a0f31f8", "alias_sources": []}
{"id": "37eeafdc237c291c", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops", "Incident Pattern"], "section_title": "Incident Pattern", "section_body": "Incident Pattern\n\nWhen failure spikes:\n\nfreeze new rollout\n\ncapture representative traces\n\nisolate failing route\n\npatch with smallest safe change\n\nrun regression + security checks\n\nresume gradually", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "f3c74adb3fa34beb5f67a41a34dfccfe8bfe8a71626aef176cd9594cca6205ed", "alias_sources": []}
{"id": "38236f57d6a5d904", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Mocking and Patching", "Mocking Context Managers"], "section_title": "Mocking Context Managers", "section_body": "Mocking Functions\n\nMocking Return Values\n\nMocking Exceptions\n\nMocking Context Managers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "0951c0d3b444ee4b3223fed8fa115be2c78e04e799130742e663c1a6602286b7", "alias_sources": []}
{"id": "389a2be8c2f8f824", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "Step 2: Capture the Voice Fingerprint"], "section_title": "Step 2: Capture the Voice Fingerprint", "section_body": "Step 2: Capture the Voice Fingerprint\n\nRun `brand-voice` first if the source voice is not already captured in the current session.\n\nReuse the resulting `VOICE PROFILE` directly.\nDo not build a second ad hoc voice checklist here unless the user explicitly wants a fresh override for this campaign.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "5f6b351ac705262139dad1d41e04817865396b85c5de665cd91e2bbce4df574a", "alias_sources": []}
{"id": "38e95e973d80503b", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Phase Details", "Phase 2: Check It Twice (Independent Dual Review)"], "section_title": "Phase 2: Check It Twice (Independent Dual Review)", "section_body": "Phase 2: Check It Twice (Independent Dual Review)\n\nSpawn two review agents in parallel. Critical invariants:\n\n**Context isolation** \u2014 neither reviewer sees the other's assessment\n\n**Identical rubric** \u2014 both receive the same evaluation criteria\n\n**Same inputs** \u2014 both receive the original spec AND the generated output\n\n**Structured output** \u2014 each returns a typed verdict, not prose", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "100a6ea9c4e60c69cea0a93c4c2c41a791d9fb2d9998591c8b66388faa1018bf", "alias_sources": []}
{"id": "38ed635f8d212e2f", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Core Principle"], "section_title": "Core Principle", "section_body": "Core Principle\n\nPick a direction and commit to it.\n\nSafe-average UI is usually worse than a strong, coherent aesthetic with a few bold choices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "53dafdc9ac30220f477cb2552d795033b1dfcb6ede545223d4ed78c1119f4464", "alias_sources": []}
{"id": "390ac259a7837238", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "Practical Examples", "Example 2: Feature Implementation"], "section_title": "Example 2: Feature Implementation", "section_body": "Practical Examples\n\nExample 1: Bug Fix Context\n\nExample 2: Feature Implementation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "b4748f22f478f80d03c3955321729d3af68083e4d08b953b5bb2adbef00ef47c", "alias_sources": []}
{"id": "3911c4939cd99dd7", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Pitfalls\n\ndo not begin with broad repo wandering; settle webhook -> queue -> worker first\n\ndo not mix customer billing inference with code-backed product truth\n\ndo not fix lower-value quality issues before the highest-burn path is contained\n\ndo not claim burn is fixed until the narrow proving step was rerun\n\ndo not push or deploy unless the user asked\n\ndo not touch unrelated repo-local changes if they are already in progress", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:review", "phase:deploy", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "019dfc2605e9de54501aebcc45144aaed2e0e31f3c800e32731ed71c4ad87ae4", "alias_sources": []}
{"id": "39124a80224311a5", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Regulatory Frameworks"], "section_title": "Regulatory Frameworks", "section_body": "Regulatory Frameworks\n\n**FDA 21 CFR 820 (QSR):** Covers medical device quality systems. Key sections: 820.90 (nonconforming product), 820.100 (CAPA), 820.198 (complaint handling), 820.250 (statistical techniques). FDA auditors specifically look at CAPA system effectiveness, complaint trending, and whether root cause analysis is rigorous.\n\n**IATF 16949 (Automotive):** Adds customer-specific requirements on top of ISO 9001. Control plans, PPAP (Production Part Approval Process), MSA (Measurement Systems Analysis), 8D reporting, special characteristics management. Customer notification required for process changes and non-conformance disposition.\n\n**AS9100 (Aerospace):** Adds requirements for product safety, counterfeit part prevention, configuration management, first article inspection (FAI per AS9102), and key characteristic management. Customer approval required for use-as-is dispositions. OASIS database for supplier management.\n\n**ISO 13485 (Medical Devices):** Harmonized with FDA QSR but with European regulatory alignment. Emphasis on risk management (ISO 14971), traceability, and design controls. Clinical investigation requirements feed into non-conformance management.\n\n**Control Plans:** Define inspection characteristics, methods, frequencies, sample sizes, reaction plans, and responsible parties for each process step. Required by IATF 16949 and good practice universally. Must be a living document updated when processes change.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "e28b2095ed6dad12f9638762c8297d3c0f183d8caa0c329784e4d7fd03f3c92f", "alias_sources": []}
{"id": "3923a4ee0de75725", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nParsing structured text with repeating patterns (questions, forms, tables)\n\nDeciding between regex and LLM for text extraction\n\nBuilding hybrid pipelines that combine both approaches\n\nOptimizing cost/accuracy tradeoffs in text processing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "51e620539c1b21a8dcfd2ce3e55a64e014386a8835d009785950f1ab39602e4c", "alias_sources": []}
{"id": "3927dc04677495d1", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nFirst time opening a project with Claude Code\n\nJoining a new team or repository\n\nUser asks \"help me understand this codebase\"\n\nUser asks to generate a CLAUDE.md for a project\n\nUser says \"onboard me\" or \"walk me through this repo\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "8889442d4c5530b02f53ced403c2c2ee4fac63a001ca9ecde07f3d8ff80e9445", "alias_sources": []}
{"id": "3938b3e9a64e960c", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "MCP Integration", "Available Tools (agent-callable)"], "section_title": "Available Tools (agent-callable)", "section_body": "Available Tools (agent-callable)\n\n| Tool | Purpose |\n|------|---------|\n| `get_balance` | Check agent wallet balance |\n| `send_payment` | Send payment to address or ENS |\n| `check_spending` | Query remaining budget |\n| `list_transactions` | Audit trail of all payments |\n\n**Note**: Spending policy is set by the **orchestrator** before delegating to the agent \u2014 not by the agent itself. This prevents agents from escalating their own spending limits. Configure policy via `set_policy` in your orchestration layer or pre-task hook, never as an agent-callable tool.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "eaa8582c8a228b70c55ad505a07a735aa666840c8f47fb972e24ebf88c6e7a18", "alias_sources": []}
{"id": "395ec2e1598b0228", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Data Classes and Named Tuples", "Data Classes"], "section_title": "Data Classes", "section_body": "Generator Expressions\n\nGenerator Functions\n\nData Classes and Named Tuples\n\nData Classes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "b5ee19b20f3926c3afd6bca0adfe7f73ce3622d47d7249c9acdf215719d9d767", "alias_sources": []}
{"id": "39762e2461a59ff0", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "References"], "section_title": "References", "section_body": "8. HTTP with Dio\n\n9. Error Handling Architecture\n\n10. Testing Quick Reference\n\nReferences\n\n[Effective Dart: Design](https://dart.dev/effective-dart/design)\n\n[Flutter Performance Best Practices](https://docs.flutter.dev/perf/best-practices)\n\n[Riverpod Documentation](https://riverpod.dev/)\n\n[BLoC Library](https://bloclibrary.dev/)\n\n[GoRouter](https://pub.dev/packages/go_router)\n\n[Freezed](https://pub.dev/packages/freezed)\n\nSkill: `flutter-dart-code-review` \u2014 comprehensive review checklist\n\nRules: `rules/dart/` \u2014 coding style, patterns, security, testing, hooks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan", "phase:review", "phase:docs"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "9e9bc29596de582b6e1f0ee7a06ed6356d90adb6df6a7dca0b51796c388dfe3d", "alias_sources": []}
{"id": "397dbebfe069bf44", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Workflow", "Step 6: Deliver"], "section_title": "Step 6: Deliver", "section_body": "Step 5: Synthesize and Write Report\n\nStructure the report:\n\nStep 6: Deliver\n\n**Short topics**: Post the full report in chat\n\n**Long reports**: Post the executive summary + key takeaways, save full report to a file", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "59f643775efbc386ee5749595c1ef061cb5e2beaa80a04cb83676cc662ac5758", "alias_sources": []}
{"id": "39aca387ab9fe381", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Best Practices"], "section_title": "Best Practices", "section_body": "Pattern-Based\n\nModel-Based (LLM-as-judge)\n\nBest Practices\n\n**Start with 3-5 tasks** that represent your real workload, not toy examples\n\n**Run at least 3 trials** per agent to capture variance \u2014 agents are non-deterministic\n\n**Pin the commit** in your task YAML so results are reproducible across days/weeks\n\n**Include at least one deterministic judge** (tests, build) per task \u2014 LLM judges add noise\n\n**Track cost alongside pass rate** \u2014 a 95% agent at 10x the cost may not be the right choice\n\n**Version your task definitions** \u2014 they are test fixtures, treat them as code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "a54bfd409e3ed64d8db146e51fe7ebd2e90b5c13c81572406525e02ebdc37a56", "alias_sources": []}
{"id": "39b6437814714fd4", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Workflow", "4. Design the ECC-native workflow"], "section_title": "4. Design the ECC-native workflow", "section_body": "4. Design the ECC-native workflow\n\nFor each real notification need, define:\n\n**source**\n\n**gate**\n\n**shape**: immediate alert, digest, queue, or dashboard-only\n\n**channel**\n\n**action**\n\nIf ECC already has the primitive, prefer:\n\na skill for operator triage\n\na hook for automatic emission/enforcement\n\nan agent for delegated classification\n\nan MCP/connector only when a real bridge is missing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:plan"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "1de9867dea4862a47e9461d120955d488c9209a9c4abf3e517c2557e5812d6b5", "alias_sources": []}
{"id": "39c5dd0370c084c4", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Safety Stock Calculation"], "section_title": "Safety Stock Calculation", "section_body": "Safety Stock Calculation\n\nThe textbook formula is `SS = Z \u00d7 \u03c3_d \u00d7 \u221a(LT + RP)` where Z is the service level z-score, \u03c3_d is the standard deviation of demand per period, LT is lead time in periods, and RP is review period in periods. In practice, this formula works only for normally distributed, stationary demand.\n\n**Service Level Targets:** 95% service level (Z=1.65) is standard for A-items. 99% (Z=2.33) for critical/A+ items where stockout cost dwarfs holding cost. 90% (Z=1.28) is acceptable for C-items. Moving from 95% to 99% nearly doubles safety stock \u2014 always quantify the inventory investment cost of the incremental service level before committing.\n\n**Lead Time Variability:** When vendor lead times are uncertain, use `SS = Z \u00d7 \u221a(LT_avg \u00d7 \u03c3_d\u00b2 + d_avg\u00b2 \u00d7 \u03c3_LT\u00b2)` \u2014 this captures both demand variability and lead time variability. Vendors with coefficient of variation (CV) on lead time > 0.3 need safety stock adjustments that can be 40\u201360% higher than demand-only formulas suggest.\n\n**Lumpy/Intermittent Demand:** Normal-distribution safety stock fails for items with many zero-demand periods. Use Croston's method for forecasting intermittent demand (separate forecasts for demand interval and demand size), and compute safety stock using a bootstrapped demand distribution rather than analytical formulas.\n\n**New Products:** No demand history means no \u03c3_d. Use analogous item profiling \u2014 find the 3\u20135 most similar items at the same lifecycle stage and use their demand variability as a proxy. Add a 20\u201330% buffer for the first 8 weeks, then taper as own history accumulates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "5a717927c8fcfddf12457d03593fa0b3d1eb1d73567bf255e8d34f4fafe6b198", "alias_sources": []}
{"id": "39e1587e85107b5f", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "3. Form the Architect position first"], "section_title": "3. Form the Architect position first", "section_body": "3. Form the Architect position first\n\nBefore reading other voices, write down:\n\nyour initial position\n\nthe three strongest reasons for it\n\nthe main risk in your preferred path\n\nDo this first so the synthesis does not simply mirror the external voices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "a6ba33cf9aafe2b03c3ba75fe7d2c427766d3bc6360507df2564da9e50489152", "alias_sources": []}
{"id": "3a0b578f1c11d8ef", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "9. Security", "Network security:"], "section_title": "Network security:", "section_body": "Network security:\n\n[ ] HTTPS enforced for all API calls\n\n[ ] Certificate pinning considered for high-security apps\n\n[ ] Authentication tokens refreshed and expired properly\n\n[ ] No sensitive data logged or printed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "9a6e6edef3300f88dba42b9513a93b9fb327cf3a7229e49099704f80a52b5372", "alias_sources": []}
{"id": "3a9b0e396c49e134", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Performance", "Avoid Allocations in Recomposition"], "section_title": "Avoid Allocations in Recomposition", "section_body": "Use `key()` and Lazy Lists Correctly\n\nDefer Reads with `derivedStateOf`\n\nAvoid Allocations in Recomposition", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "bd7caa46b6b9c8344f6069a32e30e2ef6895754d9b2b81bf15ab4e612e1c5399", "alias_sources": []}
{"id": "3a9bb7af2690295a", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "Configuration"], "section_title": "Configuration", "section_body": "Configuration\n\nAgents are discovered via two methods, merged and deduplicated by agent name:\n\n**`claude agents` command** (primary) \u2014 run `claude agents` to get all agents known to the CLI, including user agents, plugin agents (e.g. `everything-claude-code:architect`), and built-in agents. This automatically covers ECC marketplace installs without any path configuration.\n\n**File glob** (fallback, for reading agent content) \u2014 agent markdown files are read from:\n\n`./agents/**/*.md` + `./agents/*.md` \u2014 project-local agents\n\n`~/.claude/agents/**/*.md` + `~/.claude/agents/*.md` \u2014 global user agents\n\nEarlier sources take precedence when names collide: user agents > plugin agents > built-in agents. A custom path can be used instead if the user specifies one.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "133cb6534aaf272dc12ea03b205ed7594473fbac9685ad36acef80445e8a340e", "alias_sources": []}
{"id": "3aa8bec4821fcf0a", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Scene Detection and Auto-Cut", "Highlight extraction"], "section_title": "Highlight extraction", "section_body": "Silence detection for auto-cut\n\nHighlight extraction\n\nUse Claude to analyze transcript + scene timestamps:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "9715e7fa5bb3a36ebf096b35473e8212b5f67355560f543ae83c6d4fb3ea8398", "alias_sources": []}
{"id": "3ac402dc79b93819", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Search Shortcuts by Category", "Content & Publishing"], "section_title": "Content & Publishing", "section_body": "Content & Publishing\n\nMarkdown processing \u2192 `remark`, `unified`, `markdown-it`\n\nImage optimization \u2192 `sharp`, `imagemin`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "938f9fd810b4daa68dcf0581ae6c6d0be35c2a7ce6a130f8069efae7ab414ae8", "alias_sources": []}
{"id": "3acd003ba91316e4", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 UIKit", "UIGlassContainerEffect for Multiple Elements"], "section_title": "UIGlassContainerEffect for Multiple Elements", "section_body": "Core Pattern \u2014 UIKit\n\nBasic UIGlassEffect\n\nUIGlassContainerEffect for Multiple Elements", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "b669345cb1d92727f6941096b0fc533357727bc2563b81f8fb38f8024718a75a", "alias_sources": []}
{"id": "3acdc3163dcf8e77", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "Links"], "section_title": "Links", "section_body": "Links\n\n[API Playground](https://dashboard.nutrient.io/processor-api/playground/)\n\n[Full API Docs](https://www.nutrient.io/guides/dws-processor/)\n\n[npm MCP Server](https://www.npmjs.com/package/@nutrient-sdk/dws-mcp-server)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "d21504bbf4500e303e0eb9ec6ab465c68ae139daae734041e833c4ba8a39f02d", "alias_sources": []}
{"id": "3ae320146d144620", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nStart with taint-aware input boundaries, then move outward: validate and untaint inputs, keep filesystem and process execution constrained, and use parameterized DBI queries everywhere. The examples below show the safe defaults this skill expects you to apply before shipping Perl code that touches user input, the shell, or the network.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "8576a81118dcdb9aa3e4d5dd3cdaa6197bbc3404225e1b80e964da0838120add", "alias_sources": []}
{"id": "3b4775d421567f9d", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nAny application calling Claude, OpenAI, or similar LLM APIs\n\nBatch processing pipelines where cost adds up quickly\n\nMulti-model architectures that need intelligent routing\n\nProduction systems that need budget guardrails", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "af2ad9484b57ef1569c8351a6dcffc175f45f595471f62dd320619b02d36b4d1", "alias_sources": []}
{"id": "3b6d8d5117317463", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Warranty Management"], "section_title": "Warranty Management", "section_body": "Warranty Management\n\nWarranty claims are distinct from returns and follow a different workflow:\n\n**Warranty vs return:** A return is a customer exercising their right to reverse a purchase (typically within 30 days, any reason). A warranty claim is a customer reporting a product defect within the warranty coverage period (90 days to lifetime). Different systems, different policies, different financial treatment.\n\n**Manufacturer vs retailer obligation:** The retailer is typically responsible for the return window. The manufacturer is responsible for the warranty period. Grey area: the \"lemon\" product that keeps failing within warranty \u2014 the customer wants a refund, the manufacturer offers repair, and the retailer is caught in the middle.\n\n**Extended warranties/protection plans:** Sold at point of sale with 30-60% margins. Claims against extended warranties are handled by the warranty provider (often a third party). Retailer's role is facilitating the claim, not processing it. Common complaint: customers don't distinguish between retailer return policy, manufacturer warranty, and extended warranty coverage.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "67853e42df024643451b41ee07fd059150413c8f8d1bf061522fbe88728ed831", "alias_sources": []}
{"id": "3b7f17dbb68a549f", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Core Workflow", "3. Define the implementation-facing contract"], "section_title": "3. Define the implementation-facing contract", "section_body": "3. Define the implementation-facing contract\n\nProduce an SRS-style capability plan with:\n\ncapability summary\n\nexplicit non-goals\n\nactors and surfaces\n\nrequired states and transitions\n\ninterfaces / inputs / outputs\n\ndata model implications\n\nsecurity / billing / policy constraints\n\nobservability and operator requirements\n\nopen questions blocking implementation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "b288c3cc6e74eaf5cfc9b615b8ffff00ba6f765b248286a3d217ff1d5b7abd64", "alias_sources": []}
{"id": "3bc9e119426c787c", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Integration Points", "With iterative-retrieval skill"], "section_title": "With iterative-retrieval skill", "section_body": "With iterative-retrieval skill\n\nCombine for progressive discovery:\n\nCycle 1: Broad search (npm, PyPI, MCP)\n\nCycle 2: Evaluate top candidates in detail\n\nCycle 3: Test compatibility with project constraints", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:test"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "dd8b0d35e27ac28363abf75a61bace41b21d11ded9c8e16d8b25e3dedc1747e4", "alias_sources": []}
{"id": "3be5d6ebcd067167", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 3: Record", "Recording Principles"], "section_title": "Recording Principles", "section_body": "Recording Principles\n\n1. Storytelling Flow\n\n1. Storytelling Flow\n\nPlan the video as a story. Follow user-specified order, or use this default:\n\n**Entry**: Login or navigate to the starting point\n\n**Context**: Pan the surroundings so viewers orient themselves\n\n**Action**: Perform the main workflow steps\n\n**Variation**: Show a secondary feature such as settings, theme, or localization\n\n**Result**: Show the outcome, confirmation, or new state\n\n2. Pacing\n\n2. Pacing\n\nAfter login: `4s`\n\nAfter navigation: `3s`\n\nAfter clicking a button: `2s`\n\nBetween major steps: `1.5-2s`\n\nAfter the final action: `3s`\n\nTyping delay: `25-40ms` per character\n\n3. Cursor Overlay\n\n3. Cursor Overlay\n\nInject an SVG arrow cursor that follows mouse movements:\n\nCall `injectCursor(page)` after every page navigation because the overlay is destroyed on navigate.\n\n4. Mouse Movement\n\n4. Mouse Movement\n\nNever teleport the cursor. Move to the target before clicking:\n\nEvery call should include a descriptive `label` for debugging.\n\n5. Typing\n\n5. Typing\n\nType visibly, not instant-fill:\n\n6. Scrolling\n\n6. Scrolling\n\nUse smooth scroll instead of jumps:\n\n7. Dashboard Panning\n\n7. Dashboard Panning\n\nWhen showing a dashboard or overview page, move the cursor across key elements:\n\n8. Subtitles\n\n8. Subtitles\n\nInject a subtitle bar at the bottom of the viewport:\n\nCall `injectSubtitleBar(page)` alongside `injectCursor(page)` after every navigation.\n\nUsage pattern:\n\nGuidelines:\n\nKeep subtitle text short, ideally under 60 characters.\n\nUse `Step N - Action` format for consistency.\n\nClear the subtitle during long pauses where the UI can speak for itself.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:build"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "714ecca30a7782371f6e60107b0c04da73dd7f7be782f631f8fb17cfdb4383d2", "alias_sources": []}
{"id": "3c1cf7084a593488", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 3: Migrations"], "section_title": "Phase 3: Migrations", "section_body": "Phase 3: Migrations\n\nReport:\n\nNumber of pending migrations\n\nAny migration conflicts\n\nModel changes without migrations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "3f67ef628adebc5e31ebed67d4105c7333c3d29e47b1a53aae98182c5e4ac0c8", "alias_sources": []}
{"id": "3c2f3abcba99dbca", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals"], "section_title": "EVM Token Decimals", "section_body": "EVM Token Decimals\n\nSilent decimal mismatches are one of the easiest ways to ship balances or USD values that are off by orders of magnitude without throwing an error.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "7f84d7af5575565298cefd6a9ae7b3d76e75f45da353d6a88729c03e83d87bee", "alias_sources": []}
{"id": "3c86ac45ddf58ad1", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Social Media Reframing"], "section_title": "Social Media Reframing", "section_body": "Social Media Reframing\n\nDifferent platforms need different aspect ratios:\n\n| Platform | Aspect Ratio | Resolution |\n|----------|-------------|------------|\n| YouTube | 16:9 | 1920x1080 |\n| TikTok / Reels | 9:16 | 1080x1920 |\n| Instagram Feed | 1:1 | 1080x1080 |\n| X / Twitter | 16:9 or 1:1 | 1280x720 or 720x720 |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "f39fdbf0b98f55ee8b8f06dc06671d4b1786cbcad66245e88542c9bfafe81ba9", "alias_sources": []}
{"id": "3cbf0f8c3bbf7b0b", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "5. The De-Sloppify Pattern", "Why Not Negative Instructions?"], "section_title": "Why Not Negative Instructions?", "section_body": "Why Not Negative Instructions?\n\nAdding \"don't test type systems\" or \"don't add unnecessary checks\" to the Implementer prompt has downstream effects:\n\nThe model becomes hesitant about ALL testing\n\nIt skips legitimate edge case tests\n\nQuality degrades unpredictably", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "9fb2d39908cdeb2245e9da46d9602f1f9c4ef4daa08a557d034f31e1e1b4b5b2", "alias_sources": []}
{"id": "3ce2b2d0491b4d48", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "8. Platform-Specific Concerns", "iOS/Android differences:"], "section_title": "iOS/Android differences:", "section_body": "8. Platform-Specific Concerns\n\niOS/Android differences:\n\n[ ] Platform-adaptive widgets used where appropriate\n\n[ ] Back navigation handled correctly (Android back button, iOS swipe-to-go-back)\n\n[ ] Status bar and safe area handled via `SafeArea` widget\n\n[ ] Platform-specific permissions declared in `AndroidManifest.xml` and `Info.plist`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "e1d6fd484b9615c0ae05eab542b964b9f905d9f662482f706d16898f723ff748", "alias_sources": []}
{"id": "3d48b1d8eae56fde", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Core Pattern \u2014 @concurrent for Background Work"], "section_title": "Core Pattern \u2014 @concurrent for Background Work", "section_body": "Core Pattern \u2014 @concurrent for Background Work\n\nWhen you need actual parallelism, explicitly offload with `@concurrent`:\n\n**Important:** This example requires Approachable Concurrency build settings \u2014 SE-0466 (MainActor default isolation) and SE-0461 (NonisolatedNonsendingByDefault). With these enabled, `extractSticker` stays on the caller's actor, making mutable state access safe. **Without these settings, this code has a data race** \u2014 the compiler will flag it.\n\nTo use `@concurrent`:\n\nMark the containing type as `nonisolated`\n\nAdd `@concurrent` to the function\n\nAdd `async` if not already asynchronous\n\nAdd `await` at call sites", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "421818a5aff661b7c519a8e0413c1d2c882f6cd0ac699102bc749bf8ae10e07c", "alias_sources": []}
{"id": "3d4a980bc619f99a", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "MCP Tools", "GetPluginDetailsTool"], "section_title": "GetPluginDetailsTool", "section_body": "GetPluginDetailsTool\n\nFetch detailed metrics, readme content, and version history for a specific package.\n\n**Parameters:**\n\n`package` (string, required): Full Composer package name (e.g. \"spatie/laravel-permission\")\n\n`include_versions` (boolean, optional): Include version history in response", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "7980c4251cc375efcf08b08af74856b52cba58ea89eb15911a9d652d276cdd9f", "alias_sources": []}
{"id": "3d64a13c10bb4525", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill", "How It Works", "Phase 1: Inventory (Deterministic Collection)"], "section_title": "Phase 1: Inventory (Deterministic Collection)", "section_body": "How It Works\n\nThe rules distillation process follows three phases:\n\nPhase 1: Inventory (Deterministic Collection)\n\n1a. Collect skill inventory\n\n1a. Collect skill inventory\n\n1b. Collect rules index\n\n1b. Collect rules index\n\n1c. Present to user\n\n1c. Present to user", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "7fae0364da1bc493c8ebe0c58a049f9588fb30d5e32f7fd51bc0a9c677d5ae45", "alias_sources": []}
{"id": "3d908714cbb3aeb7", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\nFor API-level bugs (wrong response shape, missing endpoint) \u2014 use systematic-debugging\n\nFor styling/layout issues \u2014 visual inspection\n\nFor performance issues \u2014 profiling tools", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "941f813f77a9aefdeece58036ba5bc4264e9dd4d099dc753ce0d3139e6536f23", "alias_sources": []}
{"id": "3d9c90c295c31d0d", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder"], "section_title": "API Connector Builder", "section_body": "API Connector Builder\n\nUse this when the job is to add a repo-native integration surface, not just a generic HTTP client.\n\nThe point is to match the host repository's pattern:\n\nconnector layout\n\nconfig schema\n\nauth model\n\nerror handling\n\ntest style\n\nregistration/discovery wiring", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "4270e5daaf77527b0c841d72f5ba6a41ceb400b5ef6eff412178aa3686eca2d2", "alias_sources": []}
{"id": "3db9d2bdf28be64b", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "LinkedIn"], "section_title": "LinkedIn", "section_body": "LinkedIn\n\nadd only the context needed for people outside the niche\n\ndo not turn it into a fake founder-reflection post\n\ndo not add a closing question just because it is LinkedIn\n\ndo not force a polished \"professional tone\" if the author is naturally sharper", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "5efa0f001c10109f1d7cdabe6cc671a6d37ddc95643f86fed75c05d88890c108", "alias_sources": []}
{"id": "3dde91b72e1aca87", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "State Management", "@Observable ViewModel"], "section_title": "@Observable ViewModel", "section_body": "@Observable ViewModel\n\nUse `@Observable` (not `ObservableObject`) \u2014 it tracks property-level changes so SwiftUI only re-renders views that read the changed property:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "befab0b4818232d9a5f5985e2275847261d553384ce50bb8fd26061359f75c70", "alias_sources": []}
{"id": "3e22f40d352d50e1", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUse council when:\n\na decision has multiple credible paths and no obvious winner\n\nyou need explicit tradeoff surfacing\n\nthe user asks for second opinions, dissent, or multiple perspectives\n\nconversational anchoring is a real risk\n\na go / no-go call would benefit from adversarial challenge\n\nExamples:\n\nmonorepo vs polyrepo\n\nship now vs hold for polish\n\nfeature flag vs full rollout\n\nsimplify scope vs keep strategic breadth", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build", "phase:deploy"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "7a820f6dde120391492e7fe4db1560e103f9cbd0bf62a692ab34cbc943b0a4bc", "alias_sources": []}
{"id": "3e617cc06858335a", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Design Workflow", "4. Make motion meaningful"], "section_title": "4. Make motion meaningful", "section_body": "4. Make motion meaningful\n\nUse animation to:\n\nreveal hierarchy\n\nstage information\n\nreinforce user action\n\ncreate one or two memorable moments\n\nDo not scatter generic micro-interactions everywhere. One well-directed load sequence is usually stronger than twenty random hover effects.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "3fb6099cd4b9bdba9141f0e04b02f959896e76a21c3c6c081daecaaf1d2c37b3", "alias_sources": []}
{"id": "3e79a281e365e409", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Coroutine Testing"], "section_title": "Coroutine Testing", "section_body": "Coroutine Testing\n\nrunTest for Suspend Functions\n\nrunTest for Suspend Functions\n\nTesting Flows\n\nTesting Flows\n\nTestDispatcher\n\nTestDispatcher", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "8638852b5c721b6d9bd8eafedfc0a87fcfae014529a8066cd00a1c409b2b0940", "alias_sources": []}
{"id": "3e7a3b2bbcc15601", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 5: Security Scan"], "section_title": "Phase 5: Security Scan", "section_body": "Phase 5: Security Scan\n\nReport:\n\nVulnerable dependencies found\n\nSecurity configuration issues\n\nHardcoded secrets detected\n\nDEBUG mode status (should be False in production)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "b080aadf901e66173b8e2940e086ae15c7c0b26207d9ea06fc203cc20bf092d5", "alias_sources": []}
{"id": "3e8a5c108bc3266b", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding Laravel web applications or APIs\n\nStructuring controllers, services, and domain logic\n\nWorking with Eloquent models and relationships\n\nDesigning APIs with resources and pagination\n\nAdding queues, events, caching, and background jobs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "a4845d8a7c2de31cb640f6c9a8fc1e1048eebd3529d0e7a9811e073130fe2d64", "alias_sources": []}
{"id": "3ea936097bfd4b2e", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing"], "section_title": "Regex vs LLM for Structured Text Parsing", "section_body": "Regex vs LLM for Structured Text Parsing\n\nA practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "620288b0c4932870bc9cea6e9708bfd684733ec698cfb7875bfb2ee21ce65076", "alias_sources": []}
{"id": "3eb1b6d6094ef06c", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "Examples", "Audit output shape"], "section_title": "Audit output shape", "section_body": "Examples\n\nTitle formula\n\nMeta description formula\n\nJSON-LD example\n\nAudit output shape", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "2158f0a2c016fbf772e028eb2c9c138047521bd9bb53c37a6bc324c0deb9f1ee", "alias_sources": []}
{"id": "3f0337507e20c5f2", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new Kotlin functions or classes\n\nAdding test coverage to existing Kotlin code\n\nImplementing property-based tests\n\nFollowing TDD workflow in Kotlin projects\n\nConfiguring Kover for code coverage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "3eba4d21fcee8853b4b16937587cf5200c077a172b8420966363f5367da7460c", "alias_sources": []}
{"id": "3f33a2cbe73a771a", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 3: ECC Component Matching"], "section_title": "Phase 3: ECC Component Matching", "section_body": "Phase 3: ECC Component Matching\n\nMap intent + scope + tech stack (from Phase 0) to specific ECC components.\n\nBy Intent Type\n\nBy Intent Type\n\n| Intent | Commands | Skills | Agents |\n|--------|----------|--------|--------|\n| New Feature | /plan, /tdd, /code-review, /verify | tdd-workflow, verification-loop | planner, tdd-guide, code-reviewer |\n| Bug Fix | /tdd, /build-fix, /verify | tdd-workflow | tdd-guide, build-error-resolver |\n| Refactor | /refactor-clean, /code-review, /verify | verification-loop | refactor-cleaner, code-reviewer |\n| Research | /plan | search-first, iterative-retrieval | \u2014 |\n| Testing | /tdd, /e2e, /test-coverage | tdd-workflow, e2e-testing | tdd-guide, e2e-runner |\n| Review | /code-review | security-review | code-reviewer, security-reviewer |\n| Documentation | /update-docs, /update-codemaps | \u2014 | doc-updater |\n| Infrastructure | /plan, /verify | docker-patterns, deployment-patterns, database-migrations | architect |\n| Design (MEDIUM-HIGH) | /plan | \u2014 | planner, architect |\n| Design (EPIC) | \u2014 | blueprint (invoke as skill) | planner, architect |\n\nBy Tech Stack\n\nBy Tech Stack\n\n| Tech Stack | Skills to Add | Agent |\n|------------|--------------|-------|\n| Python / Django | django-patterns, django-tdd, django-security, django-verification, python-patterns, python-testing | python-reviewer |\n| Go | golang-patterns, golang-testing | go-reviewer, go-build-resolver |\n| Spring Boot / Java | springboot-patterns, springboot-tdd, springboot-security, springboot-verification, java-coding-standards, jpa-patterns | code-reviewer |\n| Kotlin / Android | kotlin-coroutines-flows, compose-multiplatform-patterns, android-clean-architecture | kotlin-reviewer |\n| TypeScript / React | frontend-patterns, backend-patterns, coding-standards | code-reviewer |\n| Swift / iOS | swiftui-patterns, swift-concurrency-6-2, swift-actor-persistence, swift-protocol-di-testing | code-reviewer |\n| PostgreSQL | postgres-patterns, database-migrations | database-reviewer |\n| Perl | perl-patterns, perl-testing, perl-security | code-reviewer |\n| C++ | cpp-coding-standards, cpp-testing | code-reviewer |\n| Other / Unlisted | coding-standards (universal) | code-reviewer |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:debug", "phase:docs"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "8d5b744e8a3d7ea11fb8455ca1ba644aacf6781e1ca4eff70c85dd4a3f3cea24", "alias_sources": []}
{"id": "3f3b58f5c84431d7", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nCollect demand signals (POS sell-through, orders, shipments) and cleanse outliers\n\nSelect forecasting method per SKU based on ABC/XYZ classification and demand pattern\n\nApply promotional lifts, cannibalization offsets, and external causal factors\n\nCalculate safety stock using demand variability, lead time variability, and target fill rate\n\nGenerate suggested purchase orders, apply MOQ/EOQ rounding, and route for planner review\n\nMonitor forecast accuracy (MAPE, bias) and adjust models in the next planning cycle", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "99c77bbda9f5d53268429c9f41c9ee4bfcd7af80625a09f52e0d0482ef3a09db", "alias_sources": []}
{"id": "3f6becee79967fe8", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "Usage Patterns", "Technical Deep Dive"], "section_title": "Technical Deep Dive", "section_body": "Usage Patterns\n\nQuick Lookup\n\nCode Research\n\nCompany or People Research\n\nTechnical Deep Dive", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "f65160953c88ca65ec13df4e91a977f8b0ae6cea673d87cb4a6861ef4c1f58b7", "alias_sources": []}
{"id": "3f79664fcbf113e7", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Iterators and Closures", "Use `collect()` with Type Annotation"], "section_title": "Use `collect()` with Type Annotation", "section_body": "Iterators and Closures\n\nPrefer Iterator Chains Over Manual Loops\n\nUse `collect()` with Type Annotation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "09566f0e981edef4ed3c915c495758aef5c037aef97375b0ac3f1c933508120b", "alias_sources": []}
{"id": "3f7c8886dd39b5e0", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nAI agent (Claude Code, Cursor, Codex) has modified API routes or backend logic\n\nA bug was found and fixed \u2014 need to prevent re-introduction\n\nProject has a sandbox/mock mode that can be leveraged for DB-free testing\n\nRunning `/bug-check` or similar review commands after code changes\n\nMultiple code paths exist (sandbox vs production, feature flags, etc.)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:review", "phase:debug"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "8faacdba453c9f0c2644ead494e24290055e3f29b2d95c73295d37d1542ec742", "alias_sources": []}
{"id": "3fdc31c554d5808e", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Best Practices", "4. Avoid"], "section_title": "4. Avoid", "section_body": "4. Avoid\n\nSELECT * (specify columns)\n\nFINAL (merge data before query instead)\n\nToo many JOINs (denormalize for analytics)\n\nSmall frequent inserts (batch instead)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "909df5f0f58b2e72004d2fe828a9f50a121092e7e87a71ca025e2211e03e9e6b", "alias_sources": []}
{"id": "3fde1ea8671a0708", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Reusable Starter"], "section_title": "Reusable Starter", "section_body": "Reusable Starter\n\nUse [assets/network_graph_scene.py](assets/network_graph_scene.py) as a starting point for network-graph explainers.\n\nExample smoke test:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "db21cdeba596510598b5b1fb8d0606868d1a46f52c4862fba93082598eb559bf", "alias_sources": []}
{"id": "3fef05b985052c89", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nUsing multiple standalone `.glassEffect()` views without a GlassEffectContainer\n\nNesting too many glass effects \u2014 degrades performance and visual clarity\n\nApplying glass to every view \u2014 reserve for interactive elements, toolbars, and cards\n\nForgetting `clipsToBounds = true` in UIKit when using corner radii\n\nIgnoring accented rendering mode in widgets \u2014 breaks tinted Home Screen appearance\n\nUsing opaque backgrounds behind glass \u2014 defeats the translucency effect", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "393faa7c950e14eedb010c9f216af0c39d4a62a0e705ec3763b6fb8bbcde0597", "alias_sources": []}
{"id": "3ffd3302a160b645", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack weekly and trend monthly:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| WMAPE (weighted mean absolute percentage error) | < 25% | > 35% |\n| Forecast bias | \u00b15% | > \u00b110% for 4+ weeks |\n| In-stock rate (A-items) | > 97% | < 94% |\n| In-stock rate (all items) | > 95% | < 92% |\n| Weeks of supply (aggregate) | 4\u20138 weeks | > 12 or < 3 |\n| Excess inventory (>26 weeks supply) | < 5% of SKUs | > 10% of SKUs |\n| Dead stock (zero sales, 13+ weeks) | < 2% of SKUs | > 5% of SKUs |\n| Purchase order fill rate from vendors | > 95% | < 90% |\n| Promotional forecast accuracy (WMAPE) | < 35% | > 50% |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "0c894907d7fa74bdc87a6893834ecf2b8f0a98b2d4b8a6d67e7f6ab84a967d48", "alias_sources": []}
{"id": "4011d9c9a5e4d6eb", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "Changeover Optimization"], "section_title": "Changeover Optimization", "section_body": "Changeover Optimization\n\n**SMED methodology (Single-Minute Exchange of Die):** Shigeo Shingo's framework divides setup activities into external (can be done while the machine is still running the previous job) and internal (must be done with the machine stopped). Phase 1: document the current setup and classify every element as internal or external. Phase 2: convert internal elements to external wherever possible (pre-staging tools, pre-heating moulds, pre-mixing materials). Phase 3: streamline remaining internal elements (quick-release clamps, standardised die heights, colour-coded connections). Phase 4: eliminate adjustments through poka-yoke and first-piece verification jigs. Typical results: 40\u201360% setup time reduction from Phase 1\u20132 alone.\n\n**Colour/size sequencing:** In painting, coating, printing, and textile operations, sequence jobs from light to dark, small to large, or simple to complex to minimize cleaning between runs. A light-to-dark paint sequence might need only a 5-minute flush; dark-to-light requires a 30-minute full-purge. Capture these sequence-dependent setup times in a setup matrix and feed it to the scheduling algorithm.\n\n**Campaign vs. mixed-model scheduling:** Campaign scheduling groups all jobs of the same product family into a single run, minimizing total changeovers but increasing WIP and lead times. Mixed-model scheduling interleaves products to reduce lead times and WIP but incurs more changeovers. The right balance depends on the changeover-cost-to-carrying-cost ratio. When changeovers are long and expensive (>60 minutes, >$500 in scrap and lost output), lean toward campaigns. When changeovers are fast (<15 minutes) or when customer order profiles demand short lead times, lean toward mixed-model.\n\n**Changeover cost vs. inventory carrying cost vs. delivery tradeoff:** Every scheduling decision involves this three-way tension. Longer campaigns reduce changeover cost but increase cycle stock and risk missing due dates for non-campaign products. Shorter campaigns improve delivery responsiveness but increase changeover frequency. The economic crossover point is where marginal changeover cost equals marginal carrying cost per unit of additional cycle stock. Compute it; don't guess.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "afe6c8ce673dc2a17e3dc817b2958ec84d9a4f9de469af3f0a94f8832c2b8ee9", "alias_sources": []}
{"id": "403ea773e8701545", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "5. XSS Prevention"], "section_title": "5. XSS Prevention", "section_body": "5. XSS Prevention\n\nSanitize HTML\n\nSanitize HTML\n\nContent Security Policy\n\nContent Security Policy\n\nVerification Steps\n\nVerification Steps\n\n[ ] User-provided HTML sanitized\n\n[ ] CSP headers configured\n\n[ ] No unvalidated dynamic content rendering\n\n[ ] React's built-in XSS protection used", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "6f6a040137bb3d87684f13389296ccf0528b62d56f335feffc3accad14709705", "alias_sources": []}
{"id": "405d34b465eee747", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Asset Guidance", "One-Pager / Memo"], "section_title": "One-Pager / Memo", "section_body": "One-Pager / Memo\n\nstate what the company does in one clean sentence\n\nshow why now\n\ninclude traction and proof points early\n\nmake the ask precise\n\nkeep claims easy to verify", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "f99edc509fa9fa2ce6c72ff942e20ad59520896936cc56a441bda8348f22a88e", "alias_sources": []}
{"id": "405e12dfb29b05e4", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Interpreting Results", "High Findings (fix before production)"], "section_title": "High Findings (fix before production)", "section_body": "High Findings (fix before production)\n\nAuto-run instructions in CLAUDE.md (prompt injection vector)\n\nMissing deny lists in permissions\n\nAgents with unnecessary Bash access", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "4e7b33204d2109b3baf1c133a5a2bb59512ec76295cc0e01952fc918c3588ded", "alias_sources": []}
{"id": "40657ad102f30a06", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering", "Architecture Requirements"], "section_title": "Architecture Requirements", "section_body": "Architecture Requirements\n\nPrefer architectures that are agent-friendly:\n\nexplicit boundaries\n\nstable contracts\n\ntyped interfaces\n\ndeterministic tests\n\nAvoid implicit behavior spread across hidden conventions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "12733a9a324811429fe42e2cc00b750c1b5acaee484dfab874cd4ae698f063a9", "alias_sources": []}
{"id": "406e7218d2a036c4", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Workflow", "1. Find the asset"], "section_title": "1. Find the asset", "section_body": "Workflow\n\n1. Find the asset\n\nStart with the Drive search surface to locate:\n\nthe exact file\n\nsibling assets\n\nlikely duplicates\n\nrecently modified versions\n\nIf several documents look similar, confirm by title, owner, modified time, or folder.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "2ee368347a61066741ff68f3c88930041c6641695f58d427df145706f4fa5782", "alias_sources": []}
{"id": "40abb0ded849715a", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nDesigning REST or GraphQL API endpoints\n\nImplementing repository, service, or controller layers\n\nOptimizing database queries (N+1, indexing, connection pooling)\n\nAdding caching (Redis, in-memory, HTTP cache headers)\n\nSetting up background jobs or async processing\n\nStructuring error handling and validation for APIs\n\nBuilding middleware (auth, logging, rate limiting)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "e454642285086f93610b99f5683d8f30ba5873a38e6ff9fdd42b06c1c32f07ae", "alias_sources": []}
{"id": "40b2cabd285f46d7", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Step 6\uff1a\u8f93\u51fa\u5b8c\u6574\u65b9\u6848 & \u751f\u6210\u6587\u4ef6"], "section_title": "Step 6\uff1a\u8f93\u51fa\u5b8c\u6574\u65b9\u6848 & \u751f\u6210\u6587\u4ef6", "section_body": "Step 6\uff1a\u8f93\u51fa\u5b8c\u6574\u65b9\u6848 & \u751f\u6210\u6587\u4ef6\n\n**\u5b8c\u6574\u8f93\u51fa\u6a21\u677f**\uff1a\u89c1 [references/output-template.md](references/output-template.md)\n\n\u6574\u5408\u6240\u6709\u6b65\u9aa4\u4e3a\u4e00\u4efd\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\uff0c\u7136\u540e**\u4e3b\u52a8\u5f15\u5bfc\u7528\u6237\u751f\u6210\u5b9e\u9645\u6587\u4ef6**\uff1a\n\n\u5c55\u793a\u5b8c\u6574\u65b9\u6848\u9884\u89c8\n\n\u5f15\u5bfc\u7528\u6237\u751f\u6210\u6587\u4ef6\uff1a\u662f\u5426\u8981\u5c06\u65b9\u6848\u843d\u5730\u4e3a SOUL.md \u548c IDENTITY.md \u6587\u4ef6\uff1f\n\n\u5982\u679c\u7528\u6237\u786e\u8ba4\uff1a\n\n\u8be2\u95ee\u76ee\u6807\u76ee\u5f55\uff08\u9ed8\u8ba4\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\uff09\n\n\u7528 Write \u5de5\u5177\u751f\u6210 `SOUL.md` \u548c `IDENTITY.md`\n\n\u5982\u6709\u5934\u50cf\u56fe\u7247\uff0c\u4e00\u5e76\u8bf4\u660e\u56fe\u7247\u8def\u5f84", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "35b968ef468d18b39c37b7fbeadc65ba2ddacaefbcb425eff30af8bf19d8fa3f", "alias_sources": []}
{"id": "40bca00b8696f05d", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Sync Operations", "GitHub / Linear Sync"], "section_title": "GitHub / Linear Sync", "section_body": "GitHub / Linear Sync\n\nWhen the information affects active execution:\n\nupdate the relevant GitHub issue, PR, discussion, release notes, or roadmap thread\n\nattach supporting docs to Linear when the work needs durable planning context\n\nonly mirror a local note afterwards if it still adds value", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy", "phase:docs"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "c557b9199e14be2c25d3008aec9a4da75df4e9e3a9c8ac711309798529f5b0c7", "alias_sources": []}
{"id": "40d23cab2787890f", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Review Rules"], "section_title": "Review Rules", "section_body": "Review Rules\n\nNever merge from title, summary, or trust alone; use the full diff\n\nExternal-source features should be rebuilt inside ECC when they are valuable but not self-contained\n\nCI red means classify and fix or block; do not pretend it is merge-ready\n\nIf the real blocker is product direction, say so instead of hiding behind tooling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "52497a555ce2ea66a6e514c00ffb3cf2155599847222ac20376bad924a2729c6", "alias_sources": []}
{"id": "4145a1a122fe3ae1", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Good Outcomes"], "section_title": "Good Outcomes", "section_body": "Good Outcomes\n\nThe user can immediately see what is connected, what is missing, and what ECC should own next.\n\nRecommendations are specific enough to implement in the repo without another discovery pass.\n\nThe final answer is organized around workflows, not API brands.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "f7c6b15b522739773fc4278c1e94ece08621c439662d6667631b2f9da616bfdd", "alias_sources": []}
{"id": "419dee3988434081", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Controllers -> Services -> Actions"], "section_title": "Controllers -> Services -> Actions", "section_body": "Recommended Layout\n\nControllers -> Services -> Actions\n\nKeep controllers thin. Put orchestration in services and single-purpose logic in actions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "57624ce8ea018a652404562a7e38046effd13684a4fe21f6fca56ad23a3906d8", "alias_sources": []}
{"id": "41ad8f7c88672afc", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Classification Model"], "section_title": "Classification Model", "section_body": "Classification Model\n\nUse two buckets only:\n\n`DAILY`\n\nshould load every session for this repo\n\nstrongly matched to the repo's language, framework, workflow, or operator surface\n\n`LIBRARY`\n\nuseful to retain, but not worth loading by default\n\nshould remain reachable through search, router skill, or selective manual use", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "d9ac26107e8d72db0bd59407d2262e887e42361b05ef8b8b0830f68aeb0cd77c", "alias_sources": []}
{"id": "41b32b209a18088f", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API"], "section_title": "X API", "section_body": "X API\n\nProgrammatic interaction with X (Twitter) for posting, reading, searching, and analytics.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "ee7412bb4a7d62345f1182ccae6f1216601f73122891cc481ed8ad895c710177", "alias_sources": []}
{"id": "41b6c8d817a4192d", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Metrics", "pass@k"], "section_title": "pass@k", "section_body": "3. Human Grader\n\nFlag for manual review:\n\nMetrics\n\npass@k\n\n\"At least one success in k attempts\"\n\npass@1: First attempt success rate\n\npass@3: Success within 3 attempts\n\nTypical target: pass@3 > 90%", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "cdc7ac24711608bfc05208cf34b83b6dfed8e582c9e8491c3e79a49dd9e0da64", "alias_sources": []}
{"id": "41c0433d3ba99e7c", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Common AI Regression Patterns", "Pattern 1: Sandbox/Production Path Mismatch"], "section_title": "Pattern 1: Sandbox/Production Path Mismatch", "section_body": "Common AI Regression Patterns\n\nPattern 1: Sandbox/Production Path Mismatch\n\n**Frequency**: Most common (observed in 3 out of 4 regressions)\n\n**Test to catch it**:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "7da09bb8a4bc9134f776aa2b0db1dee5b92840ae1f29fc42ffeacc74147bd9ca", "alias_sources": []}
{"id": "41dc4b73b3c0b834", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\nNever default to:\n\ninterchangeable SaaS hero sections\n\ngeneric card piles with no hierarchy\n\nrandom accent colors without a system\n\nplaceholder-feeling typography\n\nmotion that exists only because animation was easy to add", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "f96b89ccc5c9837d971cec94276a19a45b35179a5437a0bc8e8c18f2b74adc9c", "alias_sources": []}
{"id": "41e09b463c1ab067", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "How It Works", "Config Protection (Defense Against Rule-Gaming)"], "section_title": "Config Protection (Defense Against Rule-Gaming)", "section_body": "Config Protection (Defense Against Rule-Gaming)\n\nLLMs will modify `.ruff.toml` or `biome.json` to disable rules rather than fix code. Plankton blocks this with three layers:\n\n**PreToolUse hook** \u2014 `protect_linter_configs.sh` blocks edits to all linter configs before they happen\n\n**Stop hook** \u2014 `stop_config_guardian.sh` detects config changes via `git diff` at session end\n\n**Protected files list** \u2014 `.ruff.toml`, `biome.json`, `.shellcheckrc`, `.yamllint`, `.hadolint.yaml`, and more", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "ad01bbd7d4196499554757125fb156b8a8be31fb41757f0d65e6037dd88fedb1", "alias_sources": []}
{"id": "41f5547fa00c2763", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Damage claim**: 500-unit shipment arrives with 30% salvageable. Carrier claims force majeure. Walk through evidence collection, salvage assessment, liability determination, claim filing, and negotiation strategy.\n\n**Detention dispute**: Carrier bills 8 hours detention at a DC. Receiver says driver arrived 2 hours early. Reconcile GPS data, appointment logs, and gate timestamps to resolve.\n\n**Lost shipment**: High-value parcel shows \"delivered\" but consignee denies receipt. Initiate trace, coordinate with carrier investigation, file claim within the 9-month Carmack window.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "1cfccbb563e8abbdef98b81a9d5c5717d371716aaec99554dcb7dd8074274900", "alias_sources": []}
{"id": "41f5ae15eef28da8", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "6. Verify with the smallest proving steps"], "section_title": "6. Verify with the smallest proving steps", "section_body": "6. Verify with the smallest proving steps\n\nrerun only the targeted tests or integration slices that cover the changed path\n\nverify whether the burn path is now:\n\nblocked\n\ndeduped\n\ndowngraded to cheaper analysis\n\nor rejected early\n\nstate the final status exactly:\n\nchanged locally\n\nverified locally\n\npushed\n\ndeployed\n\nstill blocked", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "608a6b4afe7542f532be93f64a28ae564140a1a958e78b50ce118db3e73f65a9", "alias_sources": []}
{"id": "42114f8556085e1d", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Error Handling Patterns", "Error Checking with errors.Is and errors.As"], "section_title": "Error Checking with errors.Is and errors.As", "section_body": "Error Handling Patterns\n\nError Wrapping with Context\n\nCustom Error Types\n\nError Checking with errors.Is and errors.As", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "e026d927a28c942829677296424ba63bac0bb0c5d20460748e89fd286beab875", "alias_sources": []}
{"id": "424109fc38617988", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Workflow", "2. Classify each item by live state"], "section_title": "2. Classify each item by live state", "section_body": "2. Classify each item by live state\n\nFor every surfaced automation, mark:\n\nconfigured\n\nauthenticated\n\nrecently verified\n\nstale or broken\n\nmissing\n\nThen classify the problem type:\n\nactive breakage\n\nauth outage\n\nstale status\n\noverlap or redundancy\n\nmissing capability", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "c7a94d93695e53b0bb4a0c25c6baeea27bb25895d48a56a4d68637b915251718", "alias_sources": []}
{"id": "424cdd703977585f", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "CPAN Module Security"], "section_title": "CPAN Module Security", "section_body": "CPAN Module Security\n\n**Pin versions** in cpanfile: `requires 'DBI', '== 1.643';`\n\n**Prefer maintained modules**: Check MetaCPAN for recent releases\n\n**Minimize dependencies**: Each dependency is an attack surface", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "8b9f5f13cd4762423ea61049148ea27b5f29af491e5c1b9321f62f7d50657573", "alias_sources": []}
{"id": "424d791093486c87", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Suggested Module Layout"], "section_title": "Suggested Module Layout", "section_body": "Architecture Diagram\n\nSuggested Module Layout\n\nUse feature-first organization with explicit boundaries:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "4cb446b1d1cc214dbd0540e69bce3b65cf46bf1e7745f94af967a8b918b058dc", "alias_sources": []}
{"id": "427384132385b07d", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nGenerating a CLAUDE.md that's longer than 100 lines \u2014 keep it focused\n\nListing every dependency \u2014 highlight only the ones that shape how you write code\n\nDescribing obvious directory names \u2014 `src/` doesn't need an explanation\n\nCopying the README \u2014 the onboarding guide adds structural insight the README lacks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:docs"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "2ad3176c2004178b0084087996454065f8bbb60c621eb1c92582b4fadee5cf4e", "alias_sources": []}
{"id": "427f6f7322ca4adb", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nthe user wants a unified notification lane across GitHub, Linear, local hooks, desktop alerts, chat, or email\n\nCI failures, review requests, issue updates, and operator events are arriving in disconnected places\n\nthe current setup creates noise instead of action\n\nthe user wants to consolidate overlapping notification branches or backlog proposals into one ECC-native lane\n\nthe workspace already has hooks, MCPs, or connected tools, but no coherent notification policy", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "e59b4ab5f940ad71f10e2f5414885cf72f57a62ed7b4a71e8c4ded4d305a757c", "alias_sources": []}
{"id": "429ca78a49a36c28", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Gradle Kotlin DSL", "build.gradle.kts Configuration"], "section_title": "build.gradle.kts Configuration", "section_body": "Configuration DSL\n\nSequences for Lazy Evaluation\n\nGradle Kotlin DSL\n\nbuild.gradle.kts Configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "6731598eadead5eeae12e06864122797b437131cd45c9861737775d60d4ef96f", "alias_sources": []}
{"id": "42de7b50e3139981", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 4: Enrichment"], "section_title": "Stage 4: Enrichment", "section_body": "Stage 4: Enrichment\n\nFor each qualified lead, pull:\n\nFull name, current title, company\n\nCompany size, funding stage, recent news\n\nRecent X posts (last 30 days) \u2014 topics, tone, interests\n\nMutual interests with user (shared follows, similar content)\n\nRecent company events (product launch, funding round, hiring)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "a1e7f16d6f77b27e2ded1952bf6ce0feae7cff36e95fa74986a38b36dee72e72", "alias_sources": []}
{"id": "42e0900bf96870ba", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nDesigning new API endpoints\n\nReviewing existing API contracts\n\nAdding pagination, filtering, or sorting\n\nImplementing error handling for APIs\n\nPlanning API versioning strategy\n\nBuilding public or partner-facing APIs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "d312a055ee8d2d2a50378f527404057b1b5f879d1ee392ba543bdbf9560e5eea", "alias_sources": []}
{"id": "42f0c39e4a365522", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture"], "section_title": "Hexagonal Architecture", "section_body": "Hexagonal Architecture\n\nHexagonal architecture (Ports and Adapters) keeps business logic independent from frameworks, transport, and persistence details. The core app depends on abstract ports, and adapters implement those ports at the edges.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "db46419a4117c183626d76266bd136c57e16ba9146f778d22ebde0867f8c2c49", "alias_sources": []}
{"id": "432749de4bd9bafc", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Query Optimization Patterns", "Efficient Filtering"], "section_title": "Efficient Filtering", "section_body": "AggregatingMergeTree (Pre-aggregation)\n\nQuery Optimization Patterns\n\nEfficient Filtering", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "b83484dfb8ede0142365a951f64657decb3bc2c63bac8cd7a7bc4ab5873ee2d5", "alias_sources": []}
{"id": "432b41fb69160f1b", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Step 5\uff1a\u751f\u6210\u5934\u50cf", "\u6d41\u7a0b"], "section_title": "\u6d41\u7a0b", "section_body": "\u6d41\u7a0b\n\n\u6839\u636e\u7075\u9b42\u586b\u5145 7 \u4e2a\u4e2a\u6027\u5316\u53d8\u91cf\n\n\u62fc\u63a5 STYLE_BASE + \u4e2a\u6027\u5316\u63cf\u8ff0\u4e3a\u5b8c\u6574\u63d0\u793a\u8bcd\n\n**\u68c0\u67e5\u5f53\u524d\u73af\u5883\u662f\u5426\u5b58\u5728\u53ef\u7528\u4e14\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill**\uff1a\n\n**\u53ef\u7528** \u2192 \u5199\u5165\u4e34\u65f6\u6587\u4ef6\uff0c\u8c03\u7528\u8be5\u751f\u56fe skill \u751f\u6210\u56fe\u7247\uff0c\u5c55\u793a\u7ed3\u679c\n\n**\u4e0d\u53ef\u7528** \u2192 \u8f93\u51fa\u5b8c\u6574\u63d0\u793a\u8bcd\u6587\u672c\uff0c\u9644\u4f7f\u7528\u8bf4\u660e\uff1a\n\n\u5c55\u793a\u7ed3\u679c\u540e\uff0c\u5f15\u5bfc\u7528\u6237\u8fdb\u5165\u4e0b\u4e00\u6b65\u3002", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "86640c40c8f5b53b37ba7fd7b9d338d37ac8a9350db18bc0dea856e8d048ba6e", "alias_sources": []}
{"id": "434a5283b0f3fb67", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`research-ops`\n\n`backend-patterns`\n\n`terminal-ops`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "9aa1d6e2105b42fc4838e7b068547b25a14d8165325010ff34ff5b40b428380b", "alias_sources": []}
{"id": "434d920cef39983b", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ndo not invent a new integration architecture when the repo already has one\n\ndo not start from vendor docs alone; start from existing in-repo connectors first\n\ndo not stop at transport code if the repo expects registry wiring, tests, and docs\n\ndo not cargo-cult old connectors if the repo has a newer current pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:docs"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "1e0a82b9749a16c3ec4f27c59c15dac3229407e98ed5e03e458c7294f241cd6c", "alias_sources": []}
{"id": "435b2edad4ffb28a", "skill_name": "e2e-testing", "skill_description": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "skill_type": null, "section_path": ["E2E Testing Patterns", "Financial / Critical Flow Testing"], "section_title": "Financial / Critical Flow Testing", "section_body": "Wallet / Web3 Testing\n\nFinancial / Critical Flow Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\e2e-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "mtime": 1776507629.7220857, "body_hash": "38e6fca19288bd124b3a0716cf942d5602efcc5e23fd38ea6d712c8956a6932b", "alias_sources": []}
{"id": "43621a0cefa4d1be", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "HTTP and External Services"], "section_title": "HTTP and External Services", "section_body": "Auth Testing (Sanctum)\n\nHTTP and External Services\n\nUse `Http::fake()` to isolate external APIs\n\nAssert outbound payloads with `Http::assertSent()`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "3f6382fed3184821131a6f21bbce02ac5b35cd5827ddab1ca96c8d1cf1b132ca", "alias_sources": []}
{"id": "43ca9a41990a68a2", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Best Practices Checklist"], "section_title": "Best Practices Checklist", "section_body": "Best Practices Checklist\n\n[ ] Interactive elements meet the **24x24px** (Web) or **44x44pt** (Native) target size.\n\n[ ] Focus indicators are clearly visible and high-contrast.\n\n[ ] Modals **contain focus** while open, and release it cleanly on close (`Escape` key or close button).\n\n[ ] Dropdowns and menus restore focus to the trigger element on close.\n\n[ ] Forms provide text-based error suggestions.\n\n[ ] All icon-only buttons have a descriptive text label.\n\n[ ] Content reflows properly when text is scaled.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:deploy"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "2075b250e679e7fbf8b451050f6bf4994edafd33311e505316b4dbbdcc53bb00", "alias_sources": []}
{"id": "43ebf87c597c01d3", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 5: Workflow & Model Recommendation"], "section_title": "Phase 5: Workflow & Model Recommendation", "section_body": "Phase 5: Workflow & Model Recommendation\n\nDetermine where this prompt sits in the development lifecycle:\n\nFor MEDIUM+ tasks, always start with /plan. For EPIC tasks, use blueprint skill.\n\n**Model recommendation** (include in output):\n\n| Scope | Recommended Model | Rationale |\n|-------|------------------|-----------|\n| TRIVIAL-LOW | Sonnet 4.6 | Fast, cost-efficient for simple tasks |\n| MEDIUM | Sonnet 4.6 | Best coding model for standard work |\n| HIGH | Sonnet 4.6 (main) + Opus 4.6 (planning) | Opus for architecture, Sonnet for implementation |\n| EPIC | Opus 4.6 (blueprint) + Sonnet 4.6 (execution) | Deep reasoning for multi-session planning |\n\n**Multi-prompt splitting** (for HIGH/EPIC scope):\n\nFor tasks that exceed a single session, split into sequential prompts:\n\nPrompt 1: Research + Plan (use search-first skill, then /plan)\n\nPrompt 2-N: Implement one phase per prompt (each ends with /verify)\n\nFinal Prompt: Integration test + /code-review across all phases\n\nUse /save-session and /resume-session to preserve context between sessions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test", "phase:review"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "4f5f3d182d1c5be02a18593384e96d9c4eb2770fd296268dcd4eab0d625ab925", "alias_sources": []}
{"id": "43f4e10c197204e8", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Checklist Before Release"], "section_title": "Checklist Before Release", "section_body": "Checklist Before Release\n\n[ ] Auth tokens validated and expired correctly\n\n[ ] Authorization guards on every sensitive path\n\n[ ] All inputs validated and sanitized\n\n[ ] No string-concatenated SQL\n\n[ ] CSRF posture correct for app type\n\n[ ] Secrets externalized; none committed\n\n[ ] Security headers configured\n\n[ ] Rate limiting on APIs\n\n[ ] Dependencies scanned and up to date\n\n[ ] Logs free of sensitive data\n\n**Remember**: Deny by default, validate inputs, least privilege, and secure-by-configuration first.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review", "phase:deploy"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "0576bf08f17943e7b89797ae6a66c3aa1789254161bdf0f453fc9b710347c38f", "alias_sources": []}
{"id": "441e5f777bd2b196", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Task Decomposition"], "section_title": "Task Decomposition", "section_body": "Task Decomposition\n\nApply the 15-minute unit rule:\n\neach unit should be independently verifiable\n\neach unit should have a single dominant risk\n\neach unit should expose a clear done condition", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "f32df479f46cc7c19ce553bc93fccade42b571799d3565509f50874fea058c6c", "alias_sources": []}
{"id": "4436ff57ae458393", "skill_name": "visa-doc-translate", "skill_description": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "skill_type": null, "section_path": ["Instructions", "Important Guidelines"], "section_title": "Important Guidelines", "section_body": "Required Python Libraries\n\nFor macOS Vision framework:\n\nImportant Guidelines\n\nDO NOT ask for user confirmation at each step\n\nAutomatically determine the best rotation angle\n\nTry multiple OCR methods if one fails\n\nEnsure all numbers, dates, and amounts are accurately translated\n\nUse clean, professional formatting\n\nComplete the entire process and report the final PDF location", "source_path": "CODEFORGE\\everything-claude-code\\skills\\visa-doc-translate\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "mtime": 1776507630.1890082, "body_hash": "c4d39f541a09f6c5209521a39b8adafdd5211b38f8a2989fb1ab39cef7e9ce3e", "alias_sources": []}
{"id": "4440e8fa917b3980", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Core Workflow", "4. Keep the two systems consistent"], "section_title": "4. Keep the two systems consistent", "section_body": "4. Keep the two systems consistent\n\nWhen work is active:\n\nGitHub issue/PR should say what is happening publicly\n\nLinear should track owner, priority, and execution lane internally\n\nWhen work ships or is rejected:\n\npost the public resolution back to GitHub\n\nmark the Linear task accordingly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "eebe5f6e46cef4d678c44a3803f435331d6a0fb12f111c3cf2ea53f722f6cc04", "alias_sources": []}
{"id": "44882aee94c245bc", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Setup Guide", "Step 4: Enable Computer Use (Optional)"], "section_title": "Step 4: Enable Computer Use (Optional)", "section_body": "Step 2: Create Base Crons\n\nStep 3: Initialize Memory Graph\n\nStep 4: Enable Computer Use (Optional)\n\nGrant computer-use MCP the necessary permissions for browser and desktop control.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "0fb6e19863b66ec9e2d4edccfc0ed99bacabc0df58d2a61058857f3d8122c93b", "alias_sources": []}
{"id": "44a69a12cb463d89", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Quality Principles", "1. Readability First"], "section_title": "1. Readability First", "section_body": "Code Quality Principles\n\n1. Readability First\n\nCode is read more than written\n\nClear variable and function names\n\nSelf-documenting code preferred over comments\n\nConsistent formatting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "107de0b425a5cdbd8cf818f05e655353d892a12eeed94644364d8a19b5b025ef", "alias_sources": []}
{"id": "44cf60815691a510", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "2. Gather only the necessary context"], "section_title": "2. Gather only the necessary context", "section_body": "2. Gather only the necessary context\n\nIf the decision is codebase-specific:\n\ncollect the relevant files, snippets, issue text, or metrics\n\nkeep it compact\n\ninclude only the context needed to make the decision\n\nIf the decision is strategic/general:\n\nskip repo snippets unless they materially change the answer", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "f91186012574cd9b82d81ee82ecc2e3bb00de4bb013c7e60d63a9dae7c1a979e", "alias_sources": []}
{"id": "4562eca337441553", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n__Remember__: Python code should be readable, explicit, and follow the principle of least surprise. When in doubt, prioritize clarity over cleverness.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "0b46460f8f553eb659fff9ca01cc0dc5572a6e2f9f57abe73a974f5a98c01f75", "alias_sources": []}
{"id": "4574102ead780340", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations"], "section_title": "GitHub Operations", "section_body": "GitHub Operations\n\nManage GitHub repositories with a focus on community health, CI reliability, and contributor experience.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "6edd952c117e0cf8565913c0f24baf1815fa7e85c4931e751abfb45f120195d5", "alias_sources": []}
{"id": "459178c074381826", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Search Shortcuts by Category", "Development Tooling"], "section_title": "Development Tooling", "section_body": "Development Tooling\n\nLinting \u2192 `eslint`, `ruff`, `textlint`, `markdownlint`\n\nFormatting \u2192 `prettier`, `black`, `gofmt`\n\nTesting \u2192 `jest`, `pytest`, `go test`\n\nPre-commit \u2192 `husky`, `lint-staged`, `pre-commit`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "bc0465ef01e236db9c1a2915bdb2f1c2a36f063b1aabfc4ac35fcf7e3bc78ed8", "alias_sources": []}
{"id": "45ef1ef050493527", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns"], "section_title": "Modern Perl Development Patterns", "section_body": "Modern Perl Development Patterns\n\nIdiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "0410af0b29ffaa6bccf33764cb8c212751f068cc355e430c9c20af17de80524b", "alias_sources": []}
{"id": "45f54b9b1d0ed937", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Return value > $5,000 (single item) | Supervisor approval required before refund | Before processing |\n| Fraud score \u2265 80 | Hold refund, route to fraud review team | Immediately |\n| Customer has filed chargeback simultaneously | Halt return processing, coordinate with payments team | Within 1 hour |\n| Product identified as recalled | Route to recall coordinator, do not process as standard return | Immediately |\n| Vendor defect rate exceeds 5% for SKU | Notify merchandise and vendor management | Within 24 hours |\n| Third policy exception request from same customer in 12 months | Manager review before granting | Before processing |\n| Suspected counterfeit in return stream | Pull from processing, photograph, notify LP and brand protection | Immediately |\n| Return involves regulated product (pharma, hazmat, medical device) | Route to compliance team | Immediately |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "0793e62208b1712a22e352c33599117c29293d446bdce7458a6635cd0926a3f4", "alias_sources": []}
{"id": "46079e9ef3e1132d", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new C++ code (classes, functions, templates)\n\nReviewing or refactoring existing C++ code\n\nMaking architectural decisions in C++ projects\n\nEnforcing consistent style across a C++ codebase\n\nChoosing between language features (e.g., `enum` vs `enum class`, raw pointer vs smart pointer)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "6e2b16c5e0525dd2f314af45a9ba3c6aa996c1046584f3ffe925f83a24859857", "alias_sources": []}
{"id": "461fd2ed69bc7b9a", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nProduction orders compete for constrained work centers\n\nDisruptions (breakdown, shortage, absenteeism) require rapid re-sequencing\n\nChangeover and campaign trade-offs need explicit economic decisions\n\nNew work orders need to be slotted into an existing schedule without destabilizing committed jobs\n\nShift-level bottleneck changes require drum reassignment", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "7035421b95618a79bc7a679239ee48541ef44fa7016bbdfd1ec61bd236b638ac", "alias_sources": []}
{"id": "463943ad1c484b94", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Verification Phases", "Phase 2: Type Check"], "section_title": "Phase 2: Type Check", "section_body": "Phase 2: Type Check\n\nReport all type errors. Fix critical ones before continuing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "fdbf0727a6eb636547b19d6788a1ab411891ea099bea447737943f14726a9e53", "alias_sources": []}
{"id": "463d3405737400b1", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Structure Guidance", "Technical Guides"], "section_title": "Technical Guides", "section_body": "Structure Guidance\n\nTechnical Guides\n\nopen with what the reader gets\n\nuse code, commands, screenshots, or concrete output in major sections\n\nend with actionable takeaways, not a soft recap", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "5b56930cfd633443b2f0dc9e542d8ef57752ab25ed34187926d93034d8cdab53", "alias_sources": []}
{"id": "46683c50193db439", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "3. Widget Best Practices", "Const usage:"], "section_title": "Const usage:", "section_body": "Const usage:\n\n[ ] `const` constructors used wherever possible \u2014 prevents unnecessary rebuilds\n\n[ ] `const` literals for collections that don't change (`const []`, `const {}`)\n\n[ ] Constructor is declared `const` when all fields are final", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "53b5b8266d837dd80e7a2ba6c52105ef5c6fb0d339012bb35430347db7e4b35d", "alias_sources": []}
{"id": "468e9cbdcc76c0c9", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "3. Discover Style"], "section_title": "3. Discover Style", "section_body": "3. Discover Style\n\nDefault to visual exploration.\n\nIf the user already knows the desired preset, skip previews and use it directly.\n\nOtherwise:\n\nAsk what feeling the deck should create: impressed, energized, focused, inspired.\n\nGenerate **3 single-slide preview files** in `.ecc-design/slide-previews/`.\n\nEach preview must be self-contained, show typography/color/motion clearly, and stay under roughly 100 lines of slide content.\n\nAsk the user which preview to keep or what elements to mix.\n\nUse the preset guide in `STYLE_PRESETS.md` when mapping mood to style.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "582b0f27efaaedad4c3e21a1d0706c3c3507f97d69f40aa88600fd08ea448a66", "alias_sources": []}
{"id": "46bebcf37cc3fb71", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Communication Patterns", "Key Templates"], "section_title": "Key Templates", "section_body": "Key Templates\n\nBrief templates appear below. Adapt them to your broker, customs counsel, and regulatory workflows before using them in production.\n\n**Customs broker instructions:** Subject: `Entry Instructions \u2014 {PO/shipment_ref} \u2014 {origin} to {destination}`. Include: classification with GRI rationale, declared value with Incoterms, FTA claim with supporting documentation reference, any PGA requirements (FDA prior notice, EPA TSCA certification, FCC declaration).\n\n**Prior disclosure filing:** Must be addressed to the CBP port director or Fines, Penalties and Forfeitures office with jurisdiction. Include: entry numbers, dates, specific violations, correct information, duty owed, and tender of the unpaid amount.\n\n**Internal compliance alert:** Subject: `COMPLIANCE ACTION REQUIRED: {topic} \u2014 Effective {date}`. Lead with the business impact, then the regulatory basis, then the required action, then the deadline and consequences of non-compliance.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "cb99d5af8a35828996569ae9cde3d1d0c2677401770a4b08ddb1ca03c5f56852", "alias_sources": []}
{"id": "46f63c34b2733dc9", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Implementation Patterns", "Python (Django REST Framework)"], "section_title": "Python (Django REST Framework)", "section_body": "Versioning Strategy\n\nImplementation Patterns\n\nTypeScript (Next.js API Route)\n\nPython (Django REST Framework)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "320fd495ef07bc976009478e8fd8d31e7d970a29625baecccc0b1291e78f1012", "alias_sources": []}
{"id": "473352dee9f8a830", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "TDD Workflow Steps", "Step 5: Run Tests Again"], "section_title": "Step 5: Run Tests Again", "section_body": "Step 5: Run Tests Again\n\nRerun the same relevant test target after the fix and confirm the previously failing test is now GREEN.\n\nOnly after a valid GREEN result may you proceed to refactor.\n\nIf the repository is under Git, create a checkpoint commit immediately after GREEN is validated.\nRecommended commit message format:\n\n`fix: <feature or bug>`\n\nThe fix commit may also serve as the GREEN validation checkpoint if the same relevant test target was rerun and passed\n\nVerify that this checkpoint commit is on the current active branch before continuing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "8634ed692a1d044198eea20802b104b064a418a3274298bc1d66cc4b04cbb7d9", "alias_sources": []}
{"id": "4762bd5572b49c96", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "The Problem"], "section_title": "The Problem", "section_body": "The Problem\n\nSubagents are spawned with limited context. They don't know:\n\nWhich files contain relevant code\n\nWhat patterns exist in the codebase\n\nWhat terminology the project uses\n\nStandard approaches fail:\n\n**Send everything**: Exceeds context limits\n\n**Send nothing**: Agent lacks critical information\n\n**Guess what's needed**: Often wrong", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "886e5f1f11c4869d3eeb0c85a4db336f394cf0ec7b739e1f28383fa5bb100551", "alias_sources": []}
{"id": "47930f15edb02ddf", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop", "CI Failure Recovery"], "section_title": "CI Failure Recovery", "section_body": "CI Failure Recovery\n\nWhen PR checks fail, Continuous Claude automatically:\n\nFetches the failed run ID via `gh run list`\n\nSpawns a new `claude -p` with CI fix context\n\nClaude inspects logs via `gh run view`, fixes code, commits, pushes\n\nRe-waits for checks (up to `--ci-retry-max` attempts)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "b386277e11b5c05b2ae3786cc9c3b6fd51f2cc31a95ed10eb847e7d046427b85", "alias_sources": []}
{"id": "47a92828bebc5461", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "Merge Queue with Eviction"], "section_title": "Merge Queue with Eviction", "section_body": "Merge Queue with Eviction\n\nAfter quality pipelines complete, units enter the merge queue:\n\n**File Overlap Intelligence:**\n\nNon-overlapping units land speculatively in parallel\n\nOverlapping units land one-by-one, rebasing each time\n\n**Eviction Recovery:**\nWhen evicted, full context is captured (conflicting files, diffs, test output) and fed back to the implementer on the next Ralph pass:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "b4e725b8ce7ec04fe6e38796e2743d46325c7d1032b2a0df362f205c14b1ecf4", "alias_sources": []}
{"id": "47dbc70facfc9983", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "Core Pattern", "Actor-Based Repository"], "section_title": "Actor-Based Repository", "section_body": "Core Pattern\n\nActor-Based Repository\n\nThe actor model guarantees serialized access \u2014 no data races, enforced by the compiler.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "ac78f699ebfa3e9a56920837ead09ba9ed5fc14754564743c4b2431a199c3c11", "alias_sources": []}
{"id": "47e37cd01d5ae137", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "High-Signal Failure Patterns", "5. Expensive work before persistence safety"], "section_title": "5. Expensive work before persistence safety", "section_body": "5. Expensive work before persistence safety\n\nIf the system can spend tokens and then fail on PR creation, file update, or branch collision, it is burning cost without shipping value.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "145a3858652e79840314a16eb9649bf2e3a0ef9583c875988af16479d9e1b347", "alias_sources": []}
{"id": "47e3d06a2d1f57e4", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "6. Present a compact verdict"], "section_title": "6. Present a compact verdict", "section_body": "6. Present a compact verdict\n\nUse this output shape:\n\nKeep it scannable on a phone screen.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "718f85cb7a50399ca71e26bbf149e8dea9e108524b32d94a618f964977173c57", "alias_sources": []}
{"id": "48232823e800a204", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new C# code\n\nReviewing C# code\n\nRefactoring existing .NET applications\n\nDesigning service architectures with ASP.NET Core", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "78bc1138623831b16fc3de7949cf61b1b3e56aca9a2cca37c2664fd000522b22", "alias_sources": []}
{"id": "4827a9582f9ea99e", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\n**Don't use self-evaluation instead.** \"Are you sure?\" always gets \"yes.\" This is experimentally verified.\n\n**Don't skip the data schema check.** Both A/B test agents assumed ISO-8601 dates when real data used `%Y/%m/%d %H:%M`. Checking data structure (with redacted values) prevents this entire class of bugs.\n\n**Don't gate every single Bash command.** Routine bash gates once per session. Destructive bash gates every time. This balance avoids slowdown while catching real risks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "bd04bdd976784a31955957297ae54ed87f14f97bfa61be666f9546e0d4257726", "alias_sources": []}
{"id": "482cf457ece78e37", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nfactual claims are backed by provided sources\n\ngeneric AI transitions are gone\n\nthe voice matches the supplied examples or the agreed `VOICE PROFILE`\n\nevery section adds something new\n\nformatting matches the intended medium", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "350de0f053258817d51dfb6f698855234b77e5ab4e3faa894abd0e772cb6aff8", "alias_sources": []}
{"id": "4852416a91de8d1d", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Django (Python)", "Workflow"], "section_title": "Workflow", "section_body": "Workflow (kysely-ctl)\n\nMigration File\n\nProgrammatic Migrator\n\nDjango (Python)\n\nWorkflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "413f3d19e31f479da1972780883eb907fee975d7f7e5849db9b445564069c4c0", "alias_sources": []}
{"id": "487e96a351f7ae8f", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nLocal data storage in iOS/macOS apps (user data, settings, cached content)\n\nOffline-first architectures that sync to a server later\n\nAny shared mutable state that multiple parts of the app access concurrently\n\nReplacing legacy `DispatchQueue`-based thread safety with modern Swift concurrency", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "8d9c8a50574a3c8ab449a033c1f41927b71189b15bff94b0e3b154cec8d589bb", "alias_sources": []}
{"id": "4885da2b567fef3c", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach"], "section_title": "Investor Outreach", "section_body": "Investor Outreach\n\nWrite investor communication that is short, concrete, and easy to act on.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "149723d8b9a42b578978eea583b8d724833684e0942a111fc8679cf59853a389", "alias_sources": []}
{"id": "48b04a5cf7e11a7d", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "References"], "section_title": "References", "section_body": "References\n\n[WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/)\n\n[WAI-ARIA Authoring Practices](https://www.w3.org/TR/wai-aria-practices/)\n\n[iOS Accessibility Programming Guide](https://developer.apple.com/documentation/accessibility)\n\n[iOS Human Interface Guidelines - Accessibility](https://developer.apple.com/design/human-interface-guidelines/accessibility)\n\n[Android Accessibility Developer Guide](https://developer.android.com/guide/topics/ui/accessibility)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:docs"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "597276fdc3d20bbdc7394ee7b3563474e62b4bd360526dfac746ea23020d0596", "alias_sources": []}
{"id": "48d0b111f8e59830", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "Core Pattern", "4. Inject Dependencies with Default Parameters"], "section_title": "4. Inject Dependencies with Default Parameters", "section_body": "4. Inject Dependencies with Default Parameters\n\nProduction code uses defaults; tests inject mocks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "c898fb13e816d116e80287631ba55e9f314c06194e62f91090d2d8ddb67353ff", "alias_sources": []}
{"id": "48d60973aa756ed6", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Domain Layer", "Domain Models"], "section_title": "Domain Models", "section_body": "Domain Models\n\nDomain models are plain Kotlin data classes \u2014 no framework annotations:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "bfcc1fe78c304cea33baa708d7473895db009fcdfe707f8e4cf45b6156624276", "alias_sources": []}
{"id": "49032e05746ae77d", "skill_name": "remotion-video-creation", "skill_description": "Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.", "skill_type": null, "section_path": ["When to use"], "section_title": "When to use", "section_body": "When to use\n\nUse this skills whenever you are dealing with Remotion code to obtain the domain-specific knowledge.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\remotion-video-creation\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.", "mtime": 1776507629.9522758, "body_hash": "e78617da4699f498058d2c04e90615cc0170e8ae77980ef543ce1e8478b3106e", "alias_sources": []}
{"id": "49391602196868e5", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Best Practices"], "section_title": "Best Practices", "section_body": "Memory Patterns\n\nBest Practices\n\nKeep memory files concise. Archive old data rather than letting files grow unbounded.\n\nUse frontmatter (YAML) for metadata on all knowledge files.\n\nDeduplicate before storing. Search first, then create or update.\n\nPrefer one canonical home per fact set. Avoid parallel copies of the same plan across local notes, repo files, and tracker docs.\n\nRedact sensitive information (API keys, passwords) before committing to Git.\n\nUse consistent naming conventions for knowledge files (lowercase-kebab-case).\n\nTag entries with topics/categories for easier retrieval.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:docs"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "b99fa5c10b50253a083da9f59bdf7e7cf751fb736c15b1db7d1a8a776310d5f3", "alias_sources": []}
{"id": "49c01db1974ce095", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack weekly, review monthly with carrier management team, share quarterly with carriers:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Contract rate vs. DAT benchmark | Within \u00b18% | >15% premium or discount |\n| Routing guide compliance (% of freight on guide) | \u226585% | <70% |\n| Primary tender acceptance | \u226590% | <80% |\n| Weighted average OTD across portfolio | \u226595% | <90% |\n| Carrier portfolio claims ratio | <0.5% of spend | >1.0% |\n| Average carrier invoice accuracy | \u226597% | <93% |\n| Spot freight percentage | <20% | >30% |\n| RFP cycle time (launch to implementation) | \u226412 weeks | >16 weeks |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "e132e1eda14a9c27dbf94093d38010538fb563a720f75996d567edb7ac1bda65", "alias_sources": []}
{"id": "49c8d0abac82f963", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Examples", "Example: Get Package Details"], "section_title": "Example: Get Package Details", "section_body": "Example: Get Package Details\n\nReturns:\n\nHealth score and last activity\n\nLaravel/PHP version support\n\nVendor reputation (risk score)\n\nVersion history\n\nBrief description", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "963fffd3f890035a108dcb0700df5ac4d7069a50c752a39226ccdcd372dbc562", "alias_sources": []}
{"id": "49d905358866ce58", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser says \"read my messages\", \"check texts\", \"look in DMs\", or \"find the code\"\n\nthe task depends on a live thread or a recent code delivered to a local messaging surface\n\nthe user wants proof of which source or thread was inspected", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "fbde442f1fae5cb0b9fc4999b55c727bd17ffa7ee6476834257e382524d9c6bc", "alias_sources": []}
{"id": "4a01546ac59a596f", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "Best Practices"], "section_title": "Best Practices", "section_body": "5. Write Tests with Swift Testing\n\nBest Practices\n\n**Single Responsibility**: Each protocol should handle one concern \u2014 don't create \"god protocols\" with many methods\n\n**Sendable conformance**: Required when protocols are used across actor boundaries\n\n**Default parameters**: Let production code use real implementations by default; only tests need to specify mocks\n\n**Error simulation**: Design mocks with configurable error properties for testing failure paths\n\n**Only mock boundaries**: Mock external dependencies (file system, network, APIs), not internal types", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "31093176e23ade16666b087581be4debc57562c5ce82b59dc6ee9ee858d80c2a", "alias_sources": []}
{"id": "4a0edbd73a8ff510", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops"], "section_title": "Research Ops", "section_body": "Research Ops\n\nUse this when the user asks to research something current, compare options, enrich people or companies, or turn repeated lookups into a monitored workflow.\n\nThis is the operator wrapper around the repo's research stack. It is not a replacement for `deep-research`, `exa-search`, or `market-research`; it tells you when and how to use them together.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "ae0e853df7eda017df54014271ea23411a293adc033e151aa702bb34f949611a", "alias_sources": []}
{"id": "4a26dc9fb07f62ac", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Pre-Deployment Security Checklist"], "section_title": "Pre-Deployment Security Checklist", "section_body": "Security Testing\n\nAutomated Security Tests\n\nPre-Deployment Security Checklist\n\nBefore ANY production deployment:\n\n[ ] **Secrets**: No hardcoded secrets, all in env vars\n\n[ ] **Input Validation**: All user inputs validated\n\n[ ] **SQL Injection**: All queries parameterized\n\n[ ] **XSS**: User content sanitized\n\n[ ] **CSRF**: Protection enabled\n\n[ ] **Authentication**: Proper token handling\n\n[ ] **Authorization**: Role checks in place\n\n[ ] **Rate Limiting**: Enabled on all endpoints\n\n[ ] **HTTPS**: Enforced in production\n\n[ ] **Security Headers**: CSP, X-Frame-Options configured\n\n[ ] **Error Handling**: No sensitive data in errors\n\n[ ] **Logging**: No sensitive data logged\n\n[ ] **Dependencies**: Up to date, no vulnerabilities\n\n[ ] **Row Level Security**: Enabled in Supabase\n\n[ ] **CORS**: Properly configured\n\n[ ] **File Uploads**: Validated (size, type)\n\n[ ] **Wallet Signatures**: Verified (if blockchain)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "0323aea87f3c8476c3f3019ff7e75873f6c772e00f80625d9966ad3b671e40b5", "alias_sources": []}
{"id": "4a4cfd82320705c1", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Error Handling", "`Option` Combinators Over Nested Matching"], "section_title": "`Option` Combinators Over Nested Matching", "section_body": "Library Errors with `thiserror`, Application Errors with `anyhow`\n\n`Option` Combinators Over Nested Matching", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "bcda883508b5f3e260577e7ff22331f565d87e164204b71c528d7718dfef6d59", "alias_sources": []}
{"id": "4a83bef7079dd053", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nMaximum tool call / loop-limit failures\n\nRepeated retries with no forward progress\n\nContext growth or prompt drift that starts degrading output quality\n\nFile-system or environment state mismatch between expectation and reality\n\nTool failures that are likely recoverable with diagnosis and a smaller corrective action", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "789421f7f7881e9ab7bb9b36a4164ffbb55a84f8222323d622e6fc33879c47c8", "alias_sources": []}
{"id": "4a87ed167bf6b19f", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "How It Works", "Phase 4: Report"], "section_title": "Phase 4: Report", "section_body": "Phase 4: Report\n\nProduce the context budget report:\n\nIn verbose mode, additionally output per-file token counts, line-by-line breakdown of the heaviest files, specific redundant lines between overlapping components, and MCP tool list with per-tool schema size estimates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "31d112e0382b7c1b0a0ff1a9eec958e520a1b8a35cf3df2e78f98fadef7733fc", "alias_sources": []}
{"id": "4a923d0707d8f044", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "How It Works", "Testing Framework Choice"], "section_title": "Testing Framework Choice", "section_body": "Testing Framework Choice\n\nDefault to **Pest** for new tests when available.\n\nUse **PHPUnit** only if the project already standardizes on it or requires PHPUnit-specific tooling.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "93141ef01d4cef340b226865bbb95909afdf2acc5c83e640838039ad76c0a421", "alias_sources": []}
{"id": "4abb7131f48ed018", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft", "Warm Intro Request (to mutual)"], "section_title": "Warm Intro Request (to mutual)", "section_body": "Warm Intro Request (to mutual)\n\nGoal:\n\none clear ask\n\none concrete reason this intro makes sense\n\neasy-to-forward blurb if needed\n\nAvoid:\n\noverexplaining your company\n\nsocial-proof stacking\n\nsounding like a fundraiser template", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "a9df323dc1c0f2fa9d1d07ba628f0bb313f90b773b68dd63e6d27a57aebc0090", "alias_sources": []}
{"id": "4ac1903fcbcc0d21", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Quality Checklist"], "section_title": "Quality Checklist", "section_body": "Reference Shapes\n\nProvider-style\n\nConnector-style\n\nTypeScript plugin-style\n\nQuality Checklist\n\n[ ] matches an existing in-repo integration pattern\n\n[ ] config validation exists\n\n[ ] auth and error handling are explicit\n\n[ ] pagination/retry behavior follows repo norms\n\n[ ] registry/discovery wiring is complete\n\n[ ] tests mirror the host repo's style\n\n[ ] docs/examples are updated if expected by the repo", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:review", "phase:docs"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "f4d4690d46a68f4e98891fc2c654392d20467550361600b6c992a1556b42b422", "alias_sources": []}
{"id": "4ae01c86b2c7f7ca", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "Examples", "Example 2: Medication Safety Workflow"], "section_title": "Example 2: Medication Safety Workflow", "section_body": "Examples\n\nExample 1: Patient Encounter Flow\n\nExample 2: Medication Safety Workflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "3c73947bec83f35be8e7e33b6d84f5e2239621191e74b9aad6d7a588acf494da", "alias_sources": []}
{"id": "4af1e142b6b5a0f2", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns"], "section_title": "Ktor Server Patterns", "section_body": "Ktor Server Patterns\n\nComprehensive Ktor patterns for building robust, maintainable HTTP servers with Kotlin coroutines.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "028d81abafe4b0a4e4e43d86104a240d8b23084697f2a4b4c82c11ea1b41bf80", "alias_sources": []}
{"id": "4b06615a2c2842f2", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "Examples", "Query decimals at runtime"], "section_title": "Query decimals at runtime", "section_body": "Examples\n\nQuery decimals at runtime\n\nDo not hardcode `1_000_000` because a symbol usually has 6 decimals somewhere else.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "152c5900193330578a85d1f4299f6c923337d331f7e7dd3ce74a7059e566a686", "alias_sources": []}
{"id": "4b08d07aef5d51a1", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Decision Frameworks", "NCR Disposition Decision Logic"], "section_title": "NCR Disposition Decision Logic", "section_body": "Decision Frameworks\n\nNCR Disposition Decision Logic\n\nEvaluate in this sequence \u2014 the first path that applies governs the disposition:\n\n**Safety/regulatory critical:** If the non-conformance affects a safety-critical characteristic or regulatory requirement \u2192 do not use-as-is. Rework if possible to full conformance, otherwise scrap. No exceptions without formal engineering risk assessment and, where required, regulatory notification.\n\n**Customer-specific requirements:** If the customer specification is tighter than the design spec and the part meets design but not customer requirements \u2192 contact customer for concession before disposing. Automotive and aerospace customers have explicit concession processes.\n\n**Functional impact:** Engineering evaluates whether the non-conformance affects form, fit, or function. If no functional impact and within material review authority \u2192 use-as-is with documented engineering justification. If functional impact exists \u2192 rework or scrap.\n\n**Reworkability:** If the part can be brought into full conformance through an approved rework process \u2192 rework. Verify rework cost vs. replacement cost. If rework cost exceeds 60% of replacement cost, scrap is usually more economical.\n\n**Supplier accountability:** If the non-conformance is supplier-caused \u2192 RTV with SCAR. Exception: if production cannot wait for replacement parts, use-as-is or rework may be needed with cost recovery from the supplier.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "5394cf84f76257b538b5875916410df030e14609a897ae683f9eb57c476e58c3", "alias_sources": []}
{"id": "4b1d1185dda12c93", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Benchmarking with Criterion"], "section_title": "Benchmarking with Criterion", "section_body": "Trait-Based Mocking\n\nDoc Tests\n\nExecutable Documentation\n\nBenchmarking with Criterion", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "e7fd247f47d7d9c2474b8ab32660a0cb40d3a56f2816c6fe246f38ebbbb5c5ff", "alias_sources": []}
{"id": "4b2220516cf2b582", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "3. Widget Best Practices", "Widget decomposition:"], "section_title": "Widget decomposition:", "section_body": "3. Widget Best Practices\n\nWidget decomposition:\n\n[ ] No single widget with a `build()` method exceeding ~80-100 lines\n\n[ ] Widgets split by encapsulation AND by how they change (rebuild boundaries)\n\n[ ] Private `_build*()` helper methods that return widgets are extracted to separate widget classes (enables element reuse, const propagation, and framework optimizations)\n\n[ ] Stateless widgets preferred over Stateful where no mutable local state is needed\n\n[ ] Extracted widgets are in separate files when reusable", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "32d661cea73485255d64d0c6a14dea8f4feddbbdb3320b930e08cab2754ec3bd", "alias_sources": []}
{"id": "4b3516c43630c274", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour"], "section_title": "Code Tour", "section_body": "Code Tour\n\nCreate **CodeTour** `.tour` files for codebase walkthroughs that open directly to real files and line ranges. Tours live in `.tours/` and are meant for the CodeTour format, not ad hoc Markdown notes.\n\nA good tour is a narrative for a specific reader:\n\nwhat they are looking at\n\nwhy it matters\n\nwhat path they should follow next\n\nOnly create `.tour` JSON files. Do not modify source code as part of this skill.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "15410ba85a5da74b5a8365cbb4cec03dc7c71a18ca27d2e7175853adebe91c01", "alias_sources": []}
{"id": "4b762383c2636810", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up a new Claude Code project\n\nAfter modifying `.claude/settings.json`, `CLAUDE.md`, or MCP configs\n\nBefore committing configuration changes\n\nWhen onboarding to a new repository with existing Claude Code configs\n\nPeriodic security hygiene checks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "463552b2c4019a393147c364b1a8fa74cd9df1794029aa1a1cb7102fe0c56c56", "alias_sources": []}
{"id": "4b9f6e70796f70d4", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "How to Use", "Quick Mode (inline)"], "section_title": "Quick Mode (inline)", "section_body": "How to Use\n\nQuick Mode (inline)\n\nBefore writing a utility or adding functionality, mentally run through:\n\nDoes this already exist in the repo? \u2192 `rg` through relevant modules/tests first\n\nIs this a common problem? \u2192 Search npm/PyPI\n\nIs there an MCP for this? \u2192 Check `~/.claude/settings.json` and search\n\nIs there a skill for this? \u2192 Check `~/.claude/skills/`\n\nIs there a GitHub implementation/template? \u2192 Run GitHub code search for maintained OSS before writing net-new code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "c3ee7e102445c010d0c72107903f2d90b0b99b5a97624e026e427a06ca6061ee", "alias_sources": []}
{"id": "4ba0cf5cc5ad2b8b", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Options Pattern"], "section_title": "Options Pattern", "section_body": "Async/Await Patterns\n\nProper Async Usage\n\nParallel Async Operations\n\nOptions Pattern\n\nBind configuration sections to strongly-typed objects.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "9e98ffe33ce1affbb37a37710e65785bca2339ea9d6107e8e0cf3ee7d8a11b9d", "alias_sources": []}
{"id": "4bdbf388c001c975", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Core Operations", "Pull Recent Original Posts for Voice Modeling"], "section_title": "Pull Recent Original Posts for Voice Modeling", "section_body": "Core Operations\n\nPost a Tweet\n\nPost a Thread\n\nRead User Timeline\n\nSearch Tweets\n\nPull Recent Original Posts for Voice Modeling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "d50e895937aa410f123c88265297d346e990b53a4947a2935f7a4ac4c8ef26c6", "alias_sources": []}
{"id": "4bf6217a4d15aa09", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\nusing council for code review\n\nusing council when the task is just implementation work\n\nfeeding the subagents the entire conversation transcript\n\nhiding disagreement in the final verdict\n\npersisting every decision as a note regardless of importance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "9c65418d91e2e357f07b0cb814d51f6690b69aa2ad88f4047a6eb0c09870b32a", "alias_sources": []}
{"id": "4c1b8d1050c8c224", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Workflow", "2. Run Agents"], "section_title": "2. Run Agents", "section_body": "2. Run Agents\n\nExecute agents against your tasks:\n\nEach run:\n\nCreates a fresh git worktree from the specified commit\n\nHands the prompt to the agent\n\nRuns the judge criteria\n\nRecords pass/fail, cost, and time", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "2a8fda2f06749dcc27688b5da18108f1432ddfdb4eeb530fded3d949082c5b9e", "alias_sources": []}
{"id": "4c53918f750954df", "skill_name": "design-system", "skill_description": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "skill_type": null, "section_path": ["Design System \u2014 Generate & Audit Visual Systems", "When to Use"], "section_title": "When to Use", "section_body": "Design System \u2014 Generate & Audit Visual Systems\n\nWhen to Use\n\nStarting a new project that needs a design system\n\nAuditing an existing codebase for visual consistency\n\nBefore a redesign \u2014 understand what you have\n\nWhen the UI looks \"off\" but you can't pinpoint why\n\nReviewing PRs that touch styling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\design-system\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:review"], "trigger_hints": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "mtime": 1776507629.6914477, "body_hash": "0ade7a731978b7e097907fa638dcfe29adcb2e32e3af6f33788c20884af3ea2a", "alias_sources": []}
{"id": "4c6379c847f8acc6", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Setup Guide", "Step 1: Configure MCP Servers"], "section_title": "Step 1: Configure MCP Servers", "section_body": "Setup Guide\n\nStep 1: Configure MCP Servers\n\nEnsure these are in `~/.claude.json`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "a9979d097bfb83a96209ee7b202f662d29f91d1293784d0bf68d8d4b0386e7d2", "alias_sources": []}
{"id": "4c6d2ca5f3fb67b2", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Implementation Requirements", "HTML / CSS"], "section_title": "HTML / CSS", "section_body": "Implementation Requirements\n\nHTML / CSS\n\nUse inline CSS and JS unless the user explicitly wants a multi-file project.\n\nFonts may come from Google Fonts or Fontshare.\n\nPrefer atmospheric backgrounds, strong type hierarchy, and a clear visual direction.\n\nUse abstract shapes, gradients, grids, noise, and geometry rather than illustrations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "38ffc6f35bf677d76f7f2f37d7fc91dae05f35dbe94255a9118aa251a4f261aa", "alias_sources": []}
{"id": "4c718777c0d82b1f", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "How It Works", "Step 1: Identify the Component Role"], "section_title": "Step 1: Identify the Component Role", "section_body": "How It Works\n\nStep 1: Identify the Component Role\n\nDetermine the functional purpose (e.g., Is this a button, a link, or a tab?). Use the most semantic native element available before resorting to custom roles.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "e44ff8d28ca2a6b9a96a7fdc6ec93b395bde87b8c1b22312d1e013624c58f175", "alias_sources": []}
{"id": "4c81efc61e273316", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Decision Frameworks", "Carrier Exit Criteria"], "section_title": "Carrier Exit Criteria", "section_body": "Carrier Exit Criteria\n\nRemove a carrier from your active routing guide when any of these thresholds are met, after documented corrective action has failed:\n\nOTD below 85% for 60 consecutive days\n\nTender acceptance below 70% for 30 consecutive days with no communication\n\nClaims ratio exceeds 2% of spend for 90 days\n\nFMCSA authority revoked, insurance lapsed, or safety rating downgraded to Unsatisfactory\n\nInvoice accuracy below 88% for 90 days after corrective notice\n\nDiscovery of double-brokering your freight\n\nEvidence of financial distress: bond revocation, driver complaints on CarrierOK or Carrier411, unexplained service collapse", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "f27e8fed1601ac14bf1c71b7d75d00d28130d2ded0bcaa4db05f34201428da6d", "alias_sources": []}
{"id": "4cbf848929d01ea8", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter"], "section_title": "Security Bounty Hunter", "section_body": "Security Bounty Hunter\n\nUse this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices review.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "0bbc9c596e591c1e00bbef1befc045bfa05d791dcca29cbc51192bc06d067066", "alias_sources": []}
{"id": "4cc04404b20d57ee", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Workflow", "2. Study the target platform schema"], "section_title": "2. Study the target platform schema", "section_body": "2. Study the target platform schema\n\nInspect existing dashboards first:\n\nJSON structure\n\nquery language\n\nvariables\n\nthreshold styling\n\nsection layout", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "21944f07849726a94d66d8c7c08733ca3f0b3ff9b7203c5b841073f64d28d7e4", "alias_sources": []}
{"id": "4cc2000fec6ec274", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Protocol", "/opensource list"], "section_title": "/opensource list", "section_body": "/opensource list\n\nShow each project with pipeline progress (FORK_REPORT.md, SANITIZATION_REPORT.md, CLAUDE.md presence).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "c5a405561937229ffd5aefa6ca9d1c6bc93fa3727e4f9a339670c1c2040b08ee", "alias_sources": []}
{"id": "4d322e0d9d174187", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding applications that call LLM APIs (Claude, GPT, etc.)\n\nProcessing batches of items with varying complexity\n\nNeed to stay within a budget for API spend\n\nOptimizing cost without sacrificing quality on complex tasks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "48dd638de03dd9792b9e6a3ebacc13ad484e28d3896588e7183bd203e8152b26", "alias_sources": []}
{"id": "4d5174b0f234c89c", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Narrative Shape"], "section_title": "Narrative Shape", "section_body": "Narrative Shape\n\nUse this arc unless the task clearly needs something different:\n\norientation\n\nmodule map\n\ncore execution path\n\nedge case or gotcha\n\nclosing / next move\n\nThe tour should feel like a path, not an inventory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "8543df36a83105072a43724395b2973cc843f5d1587cda49d1347df6d29a2c20", "alias_sources": []}
{"id": "4d5f1d3e5bf00dbc", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Post-Meeting Updates"], "section_title": "Post-Meeting Updates", "section_body": "Post-Meeting Updates\n\nInclude:\n\nthe specific thing discussed\n\nthe answer or update promised\n\none new proof point if available\n\nthe next step", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "56062476b1235c1ffdb01ba2a66ccc04303e51e2d4e48ae19bc422b4d697d001", "alias_sources": []}
{"id": "4d76fda70085ccde", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Trigger"], "section_title": "Trigger", "section_body": "Trigger\n\nUse this skill when:\n\nStarting a new feature that likely has existing solutions\n\nAdding a dependency or integration\n\nThe user asks \"add X functionality\" and you're about to write code\n\nBefore creating a new utility, helper, or abstraction", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "e8d51b80e3e8d91f8fe18d5f715ac7ef4d8cb386f0119b29a08918c347ebfa04", "alias_sources": []}
{"id": "4d7ac74857e2a86a", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "How It Works", "Data Classification"], "section_title": "Data Classification", "section_body": "Data Classification\n\n**PHI (Protected Health Information)** \u2014 any data that can identify a patient AND relates to their health: patient name, date of birth, address, phone, email, national ID numbers (SSN, Aadhaar, NHS number), medical record numbers, diagnoses, medications, lab results, imaging, insurance policy and claim details, appointment and admission records, or any combination of the above.\n\n**PII (Non-patient-sensitive data)** in healthcare systems: clinician/staff personal details, doctor fee structures and payout amounts, employee salary and bank details, vendor payment information.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "95fde7eb774e7dc1eae818c4ec2e8c92ecb73c045096beeee96066b95a32a7ba", "alias_sources": []}
{"id": "4db1fe555202b635", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "ADR Format"], "section_title": "ADR Format", "section_body": "ADR Format\n\nUse the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "7c7793f201259942838af204e6e55c7f18b6951218528fa8b47401c2dd2aa1ba", "alias_sources": []}
{"id": "4dbf93e70fde4657", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Transactions"], "section_title": "Transactions", "section_body": "Repository Patterns\n\nUse projections for lightweight queries:\n\nTransactions\n\nAnnotate service methods with `@Transactional`\n\nUse `@Transactional(readOnly = true)` for read paths to optimize\n\nChoose propagation carefully; avoid long-running transactions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "0bd1ca39e21012bec6513ceea9e2f32c81d3130564b1c25cd2c12178d85fed72", "alias_sources": []}
{"id": "4e4533edf41a88d7", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "When to use", "Live streams (RTSP) + monitoring"], "section_title": "Live streams (RTSP) + monitoring", "section_body": "Live streams (RTSP) + monitoring\n\nConnect **RTSP/live feeds**\n\nRun **real-time visual and spoken understanding** and emit **events/alerts** for monitoring workflows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "12b33c654f58f761ef97528ae352bf7e17a0b284bdcf67dd9747283c0f25c904", "alias_sources": []}
{"id": "4e7ecf3617bf7b00", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Strong Defaults", "Color"], "section_title": "Color", "section_body": "Color\n\ncommit to a clear palette\n\none dominant field with selective accents usually works better than evenly weighted rainbow palettes\n\navoid clich\u00e9 purple-gradient-on-white unless the product genuinely calls for it", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "790b937b6f25871b368e11cf7c3f6db24743e96a25dc9c951750694506b4d744", "alias_sources": []}
{"id": "4e8a606ff25a98f3", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Troubleshooting"], "section_title": "Troubleshooting", "section_body": "Troubleshooting\n\n**Pane not responding:** Switch to the pane directly or inspect it with `tmux capture-pane -pt <session>:0.<pane-index>`.\n\n**Merge conflicts:** Use git worktrees to isolate file changes per pane.\n\n**High token usage:** Reduce number of parallel panes. Each pane is a full agent session.\n\n**tmux not found:** Install with `brew install tmux` (macOS) or `apt install tmux` (Linux).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "1d5fc071b5615690d57a75e27a5ba90e275abddd4c9011eb85d550ee43b072ad", "alias_sources": []}
{"id": "4e95cd1922423b3c", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Rate Limiting"], "section_title": "Rate Limiting", "section_body": "Rate Limiting\n\nApply `throttle` middleware on auth and write endpoints\n\nUse stricter limits for login, password reset, and OTP", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "901c82b1fa3b7665c38a61be892d50a578e9a5d74f665ba27bf565587e907be0", "alias_sources": []}
{"id": "4ec2bd21782c0ad9", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThe `suggest-compact.js` script runs on PreToolUse (Edit/Write) and:\n\n**Tracks tool calls** \u2014 Counts tool invocations in session\n\n**Threshold detection** \u2014 Suggests at configurable threshold (default: 50 calls)\n\n**Periodic reminders** \u2014 Reminds every 25 calls after threshold", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "8a058a861394efd4ae68e64fc4b5968a750ebdc8d181967ca19afb313e8ca025", "alias_sources": []}
{"id": "4ed9d239ceec5621", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`frontend-patterns`\n\n`frontend-design`\n\n`liquid-glass-design`\n\n`swiftui-patterns`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "7db189ddc88172e01314053199c700617d6fe7de2cd8bb6ab2625dcbd72d258c", "alias_sources": []}
{"id": "4ee0eee3715deb12", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Installation", "Vendored standalone install"], "section_title": "Vendored standalone install", "section_body": "Vendored standalone install\n\nIf you are vendoring only this skill outside the full ECC install, copy the reviewed file from the ECC repository into `~/.claude/skills/blueprint/SKILL.md`. Vendored copies do not have a git remote, so update them by re-copying the file from a reviewed ECC commit rather than running `git pull`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "ea2bf16d4f8567c24a852c0cfdce6b95a9dec46a780f0ac8e6d25c5eca155ac4", "alias_sources": []}
{"id": "4f087a8142b5955b", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "Step 1: Start with the Primary Version"], "section_title": "Step 1: Start with the Primary Version", "section_body": "Workflow\n\nStep 1: Start with the Primary Version\n\nPick the strongest source version first:\n\nthe original X post\n\nthe original article\n\nthe launch note\n\nthe thread\n\nthe memo or changelog\n\nUse `content-engine` first if the source still needs voice shaping.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "ea1720eb42f2d320db04fdcf186d4a0efe1271bcd2417fb2c8e2f57be2e24abb", "alias_sources": []}
{"id": "4f248a96c7413b38", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nGenerating or reviewing demand forecasts for existing or new SKUs\n\nSetting safety stock levels based on demand variability and service level targets\n\nPlanning replenishment for seasonal transitions, promotions, or new product launches\n\nEvaluating forecast accuracy and adjusting models or overrides\n\nMaking buy decisions under supplier MOQ constraints or lead time changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "6455ec8036fda12c5c734dbe7eea3baa020d16b1d61d7785737f24ce5ec14aab", "alias_sources": []}
{"id": "4f30fa132faa1512", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 2: Organization (Claude / Codex)"], "section_title": "Layer 2: Organization (Claude / Codex)", "section_body": "Layer 2: Organization (Claude / Codex)\n\nUse Claude Code or Codex to:\n\n**Transcribe and label**: generate transcript, identify topics and themes\n\n**Plan structure**: decide what stays, what gets cut, what order works\n\n**Identify dead sections**: find pauses, tangents, repeated takes\n\n**Generate edit decision list**: timestamps for cuts, segments to keep\n\n**Scaffold FFmpeg and Remotion code**: generate the commands and compositions\n\nThis layer is about structure, not final creative taste.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "8c535fdde7efeaee70404961de9a540aa197e6786dd2c5f5b4759136ce4c41ad", "alias_sources": []}
{"id": "4f4da28a83b9e724", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "MCP Requirement"], "section_title": "MCP Requirement", "section_body": "MCP Requirement\n\nExa MCP server must be configured. Add to `~/.claude.json`:\n\nGet an API key at [exa.ai](https://exa.ai).\nThis repo's current Exa setup documents the tool surface exposed here: `web_search_exa` and `get_code_context_exa`.\nIf your Exa server exposes additional tools, verify their exact names before depending on them in docs or prompts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "9211f38ae9a4ecc9affde5c09354edbcd65e5294dd4c06d0eb251d161003b0e5", "alias_sources": []}
{"id": "4f86b8fa954b4615", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern"], "section_title": "Content-Hash File Cache Pattern", "section_body": "Content-Hash File Cache Pattern\n\nCache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "d4ec25323d1e05b4c3be8e735ae6f6eae15bf76fd7d36ecb7db8a24f7c0b5a62", "alias_sources": []}
{"id": "4f8703f8e38ed076", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 5: Database and Migrations"], "section_title": "Phase 5: Database and Migrations", "section_body": "Phase 4: Security and Dependency Checks\n\nPhase 5: Database and Migrations\n\nReview destructive migrations carefully\n\nEnsure migration filenames follow `Y_m_d_His_*` (e.g., `2025_03_14_154210_create_orders_table.php`) and describe the change clearly\n\nEnsure rollbacks are possible\n\nVerify `down()` methods and avoid irreversible data loss without explicit backups", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "d8dc059ce5a2b21d654cd98df07d9444f86ccdba6d16206a828fb609082941d8", "alias_sources": []}
{"id": "4f8bbb248570daf8", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Core Workflow", "3. Decide whether Linear is warranted"], "section_title": "3. Decide whether Linear is warranted", "section_body": "3. Decide whether Linear is warranted\n\nCreate or update Linear only if:\n\nexecution is actively planned\n\nmultiple repos or workstreams are involved\n\nthe work needs internal ownership or sequencing\n\nthe issue is part of a larger program lane\n\nDo not mirror everything mechanically.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "1e675784759f207bb51872806d7e78f1a9218fadaecdd4383a7b6c536d36a945", "alias_sources": []}
{"id": "4fb7b1184d2ae994", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "5. The De-Sloppify Pattern", "The Problem"], "section_title": "The Problem", "section_body": "The Problem\n\nWhen you ask an LLM to implement with TDD, it takes \"write tests\" too literally:\n\nTests that verify TypeScript's type system works (testing `typeof x === 'string'`)\n\nOverly defensive runtime checks for things the type system already guarantees\n\nTests for framework behavior rather than business logic\n\nExcessive error handling that obscures the actual code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:test"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "d689b8660762e61086d6453408df4315d248145c5f7113cf41154c32cda78924", "alias_sources": []}
{"id": "4fb9c374da9e5b47", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Versioning", "URL Path Versioning (Recommended)"], "section_title": "URL Path Versioning (Recommended)", "section_body": "Versioning\n\nURL Path Versioning (Recommended)\n\n**Pros:** Explicit, easy to route, cacheable\n**Cons:** URL changes between versions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "0fb66a3284ab4fcfb0fed85d3a6d78ded96bacac94c9fc72f90f0d22ec953a12", "alias_sources": []}
{"id": "4febb1a3aa4b03e2", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "6. Validate"], "section_title": "6. Validate", "section_body": "6. Validate\n\nCheck the finished deck at these sizes:\n\n1920x1080\n\n1280x720\n\n768x1024\n\n375x667\n\n667x375\n\nIf browser automation is available, use it to verify no slide overflows and that keyboard navigation works.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "191eb800f38fbc598cf5ef66fc59945e8a3dcc8379e602ebe634ec1d6cec30d9", "alias_sources": []}
{"id": "4ff5e23f5b7aad42", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "1. Install SDK"], "section_title": "1. Install SDK", "section_body": "Setup\n\nWhen the user asks to \"setup videodb\" or similar:\n\n1. Install SDK\n\nIf `videodb[capture]` fails on Linux, install without the capture extra:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "2d454e6d21276cd96787dea2198ccb6de338ec97bb223f899165bb0809f7424f", "alias_sources": []}
{"id": "5013e1c04c9da3c4", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "How It Works", "Package Manager Enforcement"], "section_title": "Package Manager Enforcement", "section_body": "Package Manager Enforcement\n\nA PreToolUse hook on Bash blocks legacy package managers:\n\n`pip`, `pip3`, `poetry`, `pipenv` \u2192 Blocked (use `uv`)\n\n`npm`, `yarn`, `pnpm` \u2192 Blocked (use `bun`)\n\nAllowed exceptions: `npm audit`, `npm view`, `npm publish`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:review", "phase:deploy"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "98c302fb878dd39548e29b25de7262a8c57f0b3d1b058bc872f78d58c698124e", "alias_sources": []}
{"id": "50177d4d117ce23d", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 4: Enrichment", "Enrichment Sources"], "section_title": "Enrichment Sources", "section_body": "Enrichment Sources\n\nExa: company data, news, blog posts\n\nX API: recent tweets, bio, followers\n\nGitHub: open source contributions (for developer-centric leads)\n\nLinkedIn (via browser-use): full profile, experience, education", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "c6dc2eb11f723c6f7c9cfb334f26457de87515af36f235d6efb51c3c26508066", "alias_sources": []}
{"id": "503432094e2193e0", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Load Profiling"], "section_title": "Load Profiling", "section_body": "Load Profiling\n\nUnderstanding your facility's load shape is the foundation of every procurement and optimization decision:\n\n**Base vs. variable load:** Base load runs 24/7 \u2014 process refrigeration, server rooms, continuous manufacturing, lighting in occupied areas. Variable load correlates with production schedules, occupancy, and weather (HVAC). A facility with a 0.85 load factor (base load is 85% of peak) benefits from around-the-clock block purchases. A facility with a 0.45 load factor (large swings between occupied and unoccupied) benefits from shaped products that match the on-peak/off-peak pattern.\n\n**Load factor:** Average demand divided by peak demand. Load factor = (Total kWh) / (Peak kW \u00d7 Hours in period). A high load factor (>0.75) means relatively flat, predictable consumption \u2014 easier to procure and lower demand charges per kWh. A low load factor (<0.50) means spiky consumption with a high peak-to-average ratio \u2014 demand charges dominate your bill and peak shaving has the highest ROI.\n\n**Contribution by system:** In manufacturing, typical load breakdown: HVAC 25\u201335%, production motors/drives 30\u201345%, compressed air 10\u201315%, lighting 5\u201310%, process heating 5\u201315%. The system contributing most to peak demand is not always the one consuming the most energy \u2014 compressed air systems often have the worst peak-to-average ratio due to unloaded running and cycling compressors.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "f37394ef253935774a4d633bf594b41859d50d88ba4fa5163756b39ed05614e1", "alias_sources": []}
{"id": "50494c1a70d0cf6a", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Full Stocktake Flow", "Phase 4 \u2014 Consolidation"], "section_title": "Phase 4 \u2014 Consolidation", "section_body": "Phase 4 \u2014 Consolidation\n\n**Retire / Merge**: present detailed justification per file before confirming with user:\n\nWhat specific problem was found (overlap, staleness, broken references, etc.)\n\nWhat alternative covers the same functionality (for Retire: which existing skill/rule; for Merge: the target file and what content to integrate)\n\nImpact of removal (any dependent skills, MEMORY.md references, or workflows affected)\n\n**Improve**: present specific improvement suggestions with rationale:\n\nWhat to change and why (e.g., \"trim 430\u2192200 lines because sections X/Y duplicate python-patterns\")\n\nUser decides whether to act\n\n**Update**: present updated content with sources checked\n\nCheck MEMORY.md line count; propose compression if >100 lines", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "909fa760efd41030dc7cc41ae0df8f369eb7b0420dbe23e429628bece5d5d126", "alias_sources": []}
{"id": "506c71ee8b12310f", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Response Interpretation", "Package Details"], "section_title": "Package Details", "section_body": "Package Details\n\nThe detailed response includes:\n\n**Health Score**: Numeric or band indicator\n\n**Last Activity**: When the package was last updated\n\n**Laravel Support**: Version compatibility matrix\n\n**PHP Support**: PHP version compatibility\n\n**Risk Score**: Vendor trust indicators\n\n**Version History**: Recent release timeline", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "0ac39453fb5991f22cf6f8357bfe98ccea5c245acbbe908e3cddcd26104d2c6d", "alias_sources": []}
{"id": "507c44a9743bd4de", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "Koin Dependency Injection", "Koin for Testing"], "section_title": "Koin for Testing", "section_body": "Koin Dependency Injection\n\nModule Definition\n\nUsing Koin in Routes\n\nKoin for Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "b96f0bb2e34ca28326ede5ee75a0660865423836ec7f39a17eedd26091bf0689", "alias_sources": []}
{"id": "509a80309666de90", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Eval Types", "Capability Evals"], "section_title": "Capability Evals", "section_body": "Eval Types\n\nCapability Evals\n\nTest if Claude can do something it couldn't before:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "13c7c0cf9f145936b5741008717a9d0392db8928ff2337b0c007d3f61d2fc75f", "alias_sources": []}
{"id": "509c9901c9a94056", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Output Standard"], "section_title": "Output Standard", "section_body": "Output Standard\n\nWhen this skill is active, do not end with \u201cI fixed it\u201d alone.\n\nAlways provide:\n\nthe failure pattern\n\nthe root-cause hypothesis\n\nthe recovery action\n\nthe evidence that the situation is now better or still blocked", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "b569312d660cf2446edbdaeea898ce204478100034a1b0c54d007cae8b110de8", "alias_sources": []}
{"id": "50ab50ca9bba2583", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nDetect the non-conformance through inspection, SPC alert, or customer complaint\n\nContain affected material immediately (quarantine, production hold, shipment stop)\n\nClassify severity (critical, major, minor) based on safety impact and regulatory requirements\n\nInvestigate root cause using structured methodology appropriate to complexity\n\nDetermine disposition based on engineering evaluation, regulatory constraints, and economics\n\nImplement corrective action, verify effectiveness, and close the CAPA with evidence", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "2d55abf512423e997f9e5b2ece7c98bfd33a383451660a665d0a2c6cfa7729b3", "alias_sources": []}
{"id": "50f6d3d9eb5105ea", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "8. Platform-Specific Concerns", "Responsive design:"], "section_title": "Responsive design:", "section_body": "Responsive design:\n\n[ ] `LayoutBuilder` or `MediaQuery` used for responsive layouts\n\n[ ] Breakpoints defined consistently (phone, tablet, desktop)\n\n[ ] Text doesn't overflow on small screens \u2014 use `Flexible`, `Expanded`, `FittedBox`\n\n[ ] Landscape orientation tested or explicitly locked\n\n[ ] Web-specific: mouse/keyboard interactions supported, hover states present", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "ccd5eb4f3c6d0dcb6c6c68d0c59aa69ac0770a7e741400dac9e613c29dfd6a59", "alias_sources": []}
{"id": "510adcd5dadf2ad7", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "Decision Detection Signals"], "section_title": "Decision Detection Signals", "section_body": "ADR Directory Structure\n\nADR Index Format\n\nDecision Detection Signals\n\nWatch for these patterns in conversation that indicate an architectural decision:\n\n**Explicit signals**\n\n\"Let's go with X\"\n\n\"We should use X instead of Y\"\n\n\"The trade-off is worth it because...\"\n\n\"Record this as an ADR\"\n\n**Implicit signals** (suggest recording an ADR \u2014 do not auto-create without user confirmation)\n\nComparing two frameworks or libraries and reaching a conclusion\n\nMaking a database schema design choice with stated rationale\n\nChoosing between architectural patterns (monolith vs microservices, REST vs GraphQL)\n\nDeciding on authentication/authorization strategy\n\nSelecting deployment infrastructure after evaluating alternatives", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "1689e761530c2792da02dc3b3fcc9d011ac8cbac5c2e885e98af23bdd6b39fa9", "alias_sources": []}
{"id": "51298a2e2ea29a2c", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nIdentify the system constraint (bottleneck) using OEE data and capacity utilization\n\nClassify demand by priority: past-due, constraint-feeding, and remaining jobs\n\nSequence jobs using dispatching rules (EDD, SPT, or setup-aware EDD) appropriate to the product mix\n\nOptimize changeover sequences using the setup matrix and nearest-neighbor heuristic with 2-opt improvement\n\nLock a stabilization window (typically 24\u201348 hours) to prevent schedule churn on committed jobs\n\nRe-plan on disruptions by re-sequencing only unlocked jobs; publish updated schedule to MES", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "9d1c65439e32ee7392ff744d52accd702302b12caf6d937856fac9492ce8fd5e", "alias_sources": []}
{"id": "5147b65f03da5556", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nThe request explicitly mentions HIPAA, PHI, covered entities, business associates, or BAAs\n\nBuilding or reviewing US healthcare software that stores, processes, exports, or transmits PHI\n\nAssessing whether logging, analytics, LLM prompts, storage, or support workflows create HIPAA exposure\n\nDesigning patient-facing or clinician-facing systems where minimum necessary access and auditability matter", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "52281c0e6e048e50e2e2f7f9f33165e09feef169a53ac59d7b3b1a6ec864c95a", "alias_sources": []}
{"id": "51480a3b02fda75c", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\n**Remember**: Modern Perl is clean, readable, and safe. Let `use v5.36` handle the boilerplate, use Moo for objects, and prefer CPAN's battle-tested modules over hand-rolled solutions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "7b0070fa5bb88934a907dd91b827d8008fd837652d2419f9092e8686a2303836", "alias_sources": []}
{"id": "515e48182457b0ba", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Workflow", "2. Decide what deserves interruption"], "section_title": "2. Decide what deserves interruption", "section_body": "2. Decide what deserves interruption\n\nFor each event family, answer:\n\nwho needs to know?\n\nhow fast do they need to know?\n\nshould this interrupt, batch, or just log?\n\nUse these defaults:\n\ninterrupt for release, CI, security, and owner-blocking events\n\ndigest for medium-signal updates\n\nlog-only for telemetry and low-signal lifecycle markers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:deploy"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "d2cc5f90e3015106f2ee88ad6fa05476235aa5c7ae992cef6c48dba0671b4782", "alias_sources": []}
{"id": "5182a5753278b76e", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "MCP Tools"], "section_title": "MCP Tools", "section_body": "MCP Tools\n\nThe fal.ai MCP provides these tools:\n\n`search` \u2014 Find available models by keyword\n\n`find` \u2014 Get model details and parameters\n\n`generate` \u2014 Run a model with parameters\n\n`result` \u2014 Check async generation status\n\n`status` \u2014 Check job status\n\n`cancel` \u2014 Cancel a running job\n\n`estimate_cost` \u2014 Estimate generation cost\n\n`models` \u2014 List popular models\n\n`upload` \u2014 Upload files for use as inputs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "59d5f7d6390d2245afa2b8fbb67e308641828c1db68447877ab4a45ee3451270", "alias_sources": []}
{"id": "51860b844ca5a3d5", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Step 5\uff1a\u751f\u6210\u5934\u50cf"], "section_title": "Step 5\uff1a\u751f\u6210\u5934\u50cf", "section_body": "Step 5\uff1a\u751f\u6210\u5934\u50cf\n\n**\u98ce\u683c\u57fa\u5e95\u3001\u53d8\u91cf\u3001\u63d0\u793a\u8bcd\u6a21\u677f**\uff1a\u89c1 [references/avatar-style.md](references/avatar-style.md)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "40b195306d539dc17805dbf786d8d16b6e7d130b3e5a5a2723aa86b49ef630d1", "alias_sources": []}
{"id": "519ebee248df7649", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nA project only needs a subset of ECC and full installs are too noisy\n\nThe repo stack is clear, but nobody wants to hand-curate skills one by one\n\nA team wants a repeatable install decision backed by grep evidence instead of opinion\n\nYou need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces\n\nA repo has drifted into the wrong language, rule, or hook set and needs cleanup", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "2ef433bb91d958ecc4f61f76886d2553f37f673779556645787a1a6de05912bb", "alias_sources": []}
{"id": "5219d1081a0f52f6", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "How It Works", "Mode 4: Before/After Comparison"], "section_title": "Mode 4: Before/After Comparison", "section_body": "Mode 4: Before/After Comparison\n\nRun before and after a change to measure impact:\n\nOutput:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "aacdc933270ae908048d811bd9baead163e02be696a74b742228d16edbeaa6aa", "alias_sources": []}
{"id": "5221d40e9eb1cee0", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Asset Guidance", "Financial Model"], "section_title": "Financial Model", "section_body": "Financial Model\n\nInclude:\n\nexplicit assumptions\n\nbear / base / bull cases when useful\n\nclean layer-by-layer revenue logic\n\nmilestone-linked spending\n\nsensitivity analysis where the decision hinges on assumptions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "43b734bfac49a1af87420512734d46fa46799a4739c528a576952badb665d193", "alias_sources": []}
{"id": "5287f6aaa8e3a341", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "HTTP Methods and Status Codes", "Method Semantics"], "section_title": "Method Semantics", "section_body": "Resource Design\n\nURL Structure\n\nNaming Rules\n\nHTTP Methods and Status Codes\n\nMethod Semantics\n\n| Method | Idempotent | Safe | Use For |\n|--------|-----------|------|---------|\n| GET | Yes | Yes | Retrieve resources |\n| POST | No | No | Create resources, trigger actions |\n| PUT | Yes | No | Full replacement of a resource |\n| PATCH | No* | No | Partial update of a resource |\n| DELETE | Yes | No | Remove a resource |\n\n*PATCH can be made idempotent with proper implementation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "8b7ca2f6ed8d1f71cf1df280901272003043bb0e9a27f35beb5ef90279233dea", "alias_sources": []}
{"id": "528c64e13aa9975f", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "TDD Workflow"], "section_title": "TDD Workflow", "section_body": "TDD Workflow\n\nFollow the RED \u2192 GREEN \u2192 REFACTOR loop:\n\n**RED**: write a failing test that captures the new behavior\n\n**GREEN**: implement the smallest change to pass\n\n**REFACTOR**: clean up while tests stay green", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "8c8aeb65c09fbeb836166f905725eff2df547672340eb934c19fb9ffaa9905fa", "alias_sources": []}
{"id": "5292d0807d75450d", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "Assertions"], "section_title": "Assertions", "section_body": "Coverage (JaCoCo)\n\nMaven snippet:\n\nAssertions\n\nPrefer AssertJ (`assertThat`) for readability\n\nFor JSON responses, use `jsonPath`\n\nFor exceptions: `assertThatThrownBy(...)`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "518e0baa201dd95121eeecee377db05f013338ecad69e6f6b8a3ebeb9c0e54c1", "alias_sources": []}
{"id": "52a5625ddab5faa2", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Pricing Reference (2025-2026)"], "section_title": "Pricing Reference (2025-2026)", "section_body": "Composition\n\nCombine all four techniques in a single pipeline function:\n\nPricing Reference (2025-2026)\n\n| Model | Input ($/1M tokens) | Output ($/1M tokens) | Relative Cost |\n|-------|---------------------|----------------------|---------------|\n| Haiku 4.5 | $0.80 | $4.00 | 1x |\n| Sonnet 4.6 | $3.00 | $15.00 | ~4x |\n| Opus 4.5 | $15.00 | $75.00 | ~19x |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "158010aea61cc857587087e7fe8eed81c08f185a8c4caa0cbd191c27a6054d98", "alias_sources": []}
{"id": "52b5b21aeb66ffc9", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Common Workflows", "Updating a PR with New Changes"], "section_title": "Updating a PR with New Changes", "section_body": "Useful Aliases\n\nGitignore Patterns\n\nCommon Workflows\n\nStarting a New Feature\n\nUpdating a PR with New Changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "4a29c3b03a1fa4a1daded2731bb2d705ea6f9061f9da191b813e9d327abd1c43", "alias_sources": []}
{"id": "52b993893be1ec81", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate"], "section_title": "GateGuard \u2014 Fact-Forcing Pre-Action Gate", "section_body": "GateGuard \u2014 Fact-Forcing Pre-Action Gate\n\nA PreToolUse hook that forces Claude to investigate before editing. Instead of self-evaluation (\"are you sure?\"), it demands concrete facts. The act of investigation creates awareness that self-evaluation never did.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "da67b9248b8f24e783b58b7838b1f39d9c0ea0c514476f25e49eb270dff77b4a", "alias_sources": []}
{"id": "52fbd2e20fc993ef", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Quick Scan Flow"], "section_title": "Quick Scan Flow", "section_body": "Quick Scan Flow\n\nRe-evaluate only skills that have changed since the last run (5\u201310 min).\n\nRead `~/.claude/skills/skill-stocktake/results.json`\n\nRun: `bash ~/.claude/skills/skill-stocktake/scripts/quick-diff.sh \\\n      ~/.claude/skills/skill-stocktake/results.json`\n(Project dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed)\n\nIf output is `[]`: report \"No changes since last run.\" and stop\n\nRe-evaluate only those changed files using the same Phase 2 criteria\n\nCarry forward unchanged skills from previous results\n\nOutput only the diff\n\nRun: `bash ~/.claude/skills/skill-stocktake/scripts/save-results.sh \\\n      ~/.claude/skills/skill-stocktake/results.json <<< \"$EVAL_RESULTS\"`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "fefbbbc63f91faa27eebca99de04e7e1c91174e599a59ac9b2bea9a17a43e9ed", "alias_sources": []}
{"id": "5310d88244604964", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Decision Frameworks", "Inspection Level Adjustment"], "section_title": "Inspection Level Adjustment", "section_body": "Inspection Level Adjustment\n\n| Condition | Action |\n|---|---|\n| New supplier, first 5 lots | Tightened inspection (Level III or 100%) |\n| 10+ consecutive lots accepted at normal | Qualify for reduced or skip-lot |\n| 1 lot rejected under reduced inspection | Revert to normal immediately |\n| 2 of 5 consecutive lots rejected under normal | Switch to tightened |\n| 5 consecutive lots accepted under tightened | Revert to normal |\n| 10 consecutive lots rejected under tightened | Suspend supplier; escalate to procurement |\n| Customer complaint traced to incoming material | Revert to tightened regardless of current level |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "9109ddaef9c24ade5513f30682f4f7c67663d8cc00a1d237630458ef44b36cc0", "alias_sources": []}
{"id": "5326c9f880485f6f", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Workflow", "3. Keep the fix narrow"], "section_title": "3. Keep the fix narrow", "section_body": "3. Keep the fix narrow\n\nSolve one dominant failure at a time:\n\nuse the smallest useful proving command first\n\nonly escalate to a bigger build/test pass after the local failure is addressed\n\nif a command keeps failing with the same signature, stop broad retries and narrow scope", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "4e084ed53ed5e226fe3eb2dac55bfb7a8cf8e1d302a89a7dc73bfdd02349173a", "alias_sources": []}
{"id": "5361819100d62174", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Background Jobs"], "section_title": "Background Jobs", "section_body": "Background Jobs\n\nUse Spring\u2019s `@Scheduled` or integrate with queues (e.g., Kafka, SQS, RabbitMQ). Keep handlers idempotent and observable.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "948b428be0e0116acfbcd3df6cb2c724389ee90f402aee56561c38deff46fcd9", "alias_sources": []}
{"id": "53654db2f8122dab", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Classify the repo surface**: enumerate files, then tag each as project code, embedded third-party code, or build artifact.\n\n**Detect embedded libraries**: inspect directory names, headers, license files, and version markers to identify bundled dependencies and likely versions.\n\n**Score each module**: group files by module or subsystem, then assign one of the four verdicts based on ownership, duplication, and maintenance cost.\n\n**Highlight structural risks**: call out dead-weight artifacts, duplicated wrappers, outdated vendored code, and modules that should be extracted, rebuilt, or deprecated.\n\n**Produce the report**: return a concise summary plus the interactive HTML output with per-module drill-down so the audit can be reviewed asynchronously.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "a85b34e9cd42b9ad77d1522ac0c7fdaa775dbcbb77d842ffe93c70f9507227e4", "alias_sources": []}
{"id": "536cbf0c8ae99165", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\n| Instead of council | Use |\n| --- | --- |\n| Verifying whether output is correct | `santa-method` |\n| Breaking a feature into implementation steps | `planner` |\n| Designing system architecture | `architect` |\n| Reviewing code for bugs or security | `code-reviewer` or `santa-method` |\n| Straight factual questions | just answer directly |\n| Obvious execution tasks | just do the task |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "f845c76ab897c60bf85a0145ab4b66902e5c096f3864ba015cfa01f6adb14ee5", "alias_sources": []}
{"id": "538558f09e4b98ac", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "How It Works", "Remote (Streamable HTTP)"], "section_title": "Remote (Streamable HTTP)", "section_body": "Remote (Streamable HTTP)\n\nFor Cursor, cloud, or other remote clients, use **Streamable HTTP** (single MCP HTTP endpoint per current spec). Support legacy HTTP/SSE only when backward compatibility is required.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "740d42741eba12373c7459ff72708a7d14e7c3ca287db67f431877f0cfe035e1", "alias_sources": []}
{"id": "5390eeaa294c1ed4", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 1: Choose Installation Level"], "section_title": "Step 1: Choose Installation Level", "section_body": "Step 1: Choose Installation Level\n\nUse `AskUserQuestion` to ask the user where to install:\n\nStore the choice as `INSTALL_LEVEL`. Set the target directory:\n\nUser-level: `TARGET=~/.claude`\n\nProject-level: `TARGET=.claude` (relative to current project root)\n\nBoth: `TARGET_USER=~/.claude`, `TARGET_PROJECT=.claude`\n\nCreate the target directories if they don't exist:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "119440ec20682a86e34581ef556049ef160f1b57098db42ef3a99068a7dded7c", "alias_sources": []}
{"id": "5391b686da187870", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nMigrating Swift 5.x or 6.0/6.1 projects to Swift 6.2\n\nResolving data-race safety compiler errors\n\nDesigning MainActor-based app architecture\n\nOffloading CPU-intensive work to background threads\n\nImplementing protocol conformances on MainActor-isolated types\n\nEnabling Approachable Concurrency build settings in Xcode 26", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "13c284add3d3e4fe26bb619e27a2a6be68e81ca10499b60223f57a8ef405c2dd", "alias_sources": []}
{"id": "53b113ef6d8728ff", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", ".dockerignore"], "section_title": ".dockerignore", "section_body": "Container Security\n\nDockerfile Hardening\n\nCompose Security\n\nSecret Management\n\n.dockerignore", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "5b332caedee039ee493e6f5785f4a93aefa298fddfa0350fc4ce9620f96905bf", "alias_sources": []}
{"id": "53d0d2a687d5d5b0", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Product Evals (v1.8)"], "section_title": "Product Evals (v1.8)", "section_body": "Example: Adding Authentication\n\nProduct Evals (v1.8)\n\nUse product evals when behavior quality cannot be captured by unit tests alone.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "9d889f5591aac76b3910b1d5635bc063df065cf8cb2e63e2502738157df1d220", "alias_sources": []}
{"id": "5403713908dbd7a1", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Core Principles", "3. Accept Interfaces, Return Structs"], "section_title": "3. Accept Interfaces, Return Structs", "section_body": "3. Accept Interfaces, Return Structs\n\nFunctions should accept interface parameters and return concrete types.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "4771e750a1d80ca05b19a563d12c8fe3e74640b5011e73733e0f60f7c602eed2", "alias_sources": []}
{"id": "543fa3778271192d", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Core Testing Philosophy", "Test-Driven Development (TDD)"], "section_title": "Test-Driven Development (TDD)", "section_body": "Core Testing Philosophy\n\nTest-Driven Development (TDD)\n\nAlways follow the TDD cycle:\n\n**RED**: Write a failing test for the desired behavior\n\n**GREEN**: Write minimal code to make the test pass\n\n**REFACTOR**: Improve code while keeping tests green", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "dcd1897ab93de32988bd81e1fa73b27e10e04cb1199ced1e7aca05c3f75f76dc", "alias_sources": []}
{"id": "547d92ec549faebf", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new PyTorch models or training scripts\n\nReviewing deep learning code\n\nDebugging training loops or data pipelines\n\nOptimizing GPU memory usage or training speed\n\nSetting up reproducible experiments", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "ef3359abb9e0a08621c74e9f6d012dd3083b542d996a2c54d311b50f089be270", "alias_sources": []}
{"id": "54ce4a97878f064b", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Eval-First Loop"], "section_title": "Eval-First Loop", "section_body": "Eval-First Loop\n\nDefine capability eval and regression eval.\n\nRun baseline and capture failure signatures.\n\nExecute implementation.\n\nRe-run evals and compare deltas.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "33ca7a409fb3c30d5568f63e8195bfc8d3b68a0d952bd6d0cce97d3b1e1e056a", "alias_sources": []}
{"id": "54ecaacfa1777bd0", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Best Practices"], "section_title": "Best Practices", "section_body": "Eval Storage\n\nStore evals in project:\n\nBest Practices\n\n**Define evals BEFORE coding** - Forces clear thinking about success criteria\n\n**Run evals frequently** - Catch regressions early\n\n**Track pass@k over time** - Monitor reliability trends\n\n**Use code graders when possible** - Deterministic > probabilistic\n\n**Human review for security** - Never fully automate security checks\n\n**Keep evals fast** - Slow evals don't get run\n\n**Version evals with code** - Evals are first-class artifacts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "c89350c572dee4fdc641929ab1ff815b39ed44b06fdca4c167bdd602cbbdd567", "alias_sources": []}
{"id": "54f152e75e1e596d", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Decision Frameworks", "Forecast Method Selection by Demand Pattern"], "section_title": "Forecast Method Selection by Demand Pattern", "section_body": "Decision Frameworks\n\nForecast Method Selection by Demand Pattern\n\n| Demand Pattern | Primary Method | Fallback Method | Review Trigger |\n|---|---|---|---|\n| Stable, high-volume, no seasonality | Weighted moving average (4\u20138 weeks) | Single exponential smoothing | WMAPE > 25% for 4 consecutive weeks |\n| Trending (growth or decline) | Holt's double exponential smoothing | Linear regression on recent 26 weeks | Tracking signal exceeds \u00b14 |\n| Seasonal, repeating pattern | Holt-Winters (multiplicative for growing seasonal, additive for stable) | STL decomposition + SES on residual | Season-over-season pattern correlation < 0.7 |\n| Intermittent / lumpy (>30% zero-demand periods) | Croston's method or SBA (Syntetos-Boylan Approximation) | Bootstrap simulation on demand intervals | Mean inter-demand interval shifts by >30% |\n| Promotion-driven | Causal regression (baseline + promo lift layer) | Analogous item lift + baseline | Post-promo actuals deviate >40% from forecast |\n| New product (0\u201312 weeks history) | Analogous item profile with lifecycle curve | Category average with decay toward actual | Own-data WMAPE stabilizes below analogous-based WMAPE |\n| Event-driven (weather, local events) | Regression with external regressors | Manual override with documented rationale | Re-evaluate when regressor-to-demand correlation falls below 0.6 or event-period forecast error rises >30% for 2 comparable events |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "ecb7d9869826248976ee5aafea8ddd8ed62e51183991bf65945948e6b3521ce0", "alias_sources": []}
{"id": "5527c22089bae2d3", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**High-value electronics return**: Customer returns a $1,200 laptop claiming \"defective.\" Inspection reveals cosmetic damage inconsistent with defect claim. Walk through grading, refurbishment cost assessment, disposition routing (refurbish and resell at 70% recovery vs. vendor RTV at 85%), and fraud flag evaluation.\n\n**Serial returner detection**: Customer account shows 47% return rate across 23 orders in 6 months. Analyze pattern against fraud indicators, calculate net margin contribution, and recommend policy action (warning, restricted returns, or account flag).\n\n**Warranty claim dispute**: Customer files warranty claim 11 months into 12-month warranty. Product shows signs of misuse. Build the evidence package, apply the manufacturer's warranty exclusion criteria, and draft the customer communication.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "6899dff7e1e298e9de91e40b17fa8204a40721ee9b8d977cec7c8ca955454915", "alias_sources": []}
{"id": "55339f58424ca5e1", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "Examples"], "section_title": "Examples", "section_body": "Examples\n\nOn a 50,000-file C++ monorepo:\n\nFound FFmpeg 2.x (2015 vintage) still in production\n\nDiscovered the same SDK wrapper duplicated 3 times\n\nIdentified 636 MB of committed Debug/ipch/obj build artifacts\n\nClassified: 3 MB project code vs 596 MB third-party", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "2e832bff846e15080d88abd8f5c976806b70ed18110804a1e35f9d2145296710", "alias_sources": []}
{"id": "555c08cb91d58e7f", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns"], "section_title": "Python Development Patterns", "section_body": "Python Development Patterns\n\nIdiomatic Python patterns and best practices for building robust, efficient, and maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "36ab1abe822acc0dd4a5c04d7a0ec86865f86bec85f1e30ea38667ad880555eb", "alias_sources": []}
{"id": "5562af171f574b97", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSpawning subagents that need codebase context they cannot predict upfront\n\nBuilding multi-agent workflows where context is progressively refined\n\nEncountering \"context too large\" or \"missing context\" failures in agent tasks\n\nDesigning RAG-like retrieval pipelines for code exploration\n\nOptimizing token usage in agent orchestration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "0c9289681b5eba8287a478a6f19642145182e0b4c584ca982b52f5a68263f15c", "alias_sources": []}
{"id": "5588d8e8be7eb732", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials"], "section_title": "Investor Materials", "section_body": "Investor Materials\n\nBuild investor-facing materials that are consistent, credible, and easy to defend.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "0b52686d3b07d55d0b2eca6274e6bfd2e71c2b87b55d24a9c9a92096f86d21c8", "alias_sources": []}
{"id": "55ba7f5d2e2e7876", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Common AI Regression Patterns", "Pattern 3: Error State Leakage"], "section_title": "Pattern 3: Error State Leakage", "section_body": "Pattern 3: Error State Leakage\n\n**Frequency**: Moderate \u2014 when adding error handling to existing components", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "59fd42686f937be3a1e2613064d3d45b9cee4ac6f77729cee561bfab11e101c3", "alias_sources": []}
{"id": "55cfaded002c15ba", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Migrations"], "section_title": "Migrations", "section_body": "Query Scopes for Reusable Filters\n\nTransactions for Multi-Step Updates\n\nMigrations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "f9b6b2304340e5b2f98003b4ca5ec8a50fe24fc1c255e13ca35dcd6fd427e400", "alias_sources": []}
{"id": "55d4bfdc40bf4a6e", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "3. Trace the worker and side effects"], "section_title": "3. Trace the worker and side effects", "section_body": "3. Trace the worker and side effects\n\ninspect the queue consumer or scheduled worker that handles analysis\n\nconfirm whether a queued analysis always ends in:\n\nPR creation\n\nbranch creation\n\nfile updates\n\npremium model calls\n\nusage increments\n\nif analysis can spend tokens and then fail before output is persisted, classify it as burn-with-broken-output", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "dfbc193026d653b4911e9a0d10c0b7b041aa64533d95f4aaeeacd5089942b923", "alias_sources": []}
{"id": "55fbaff054896423", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Security Checklist"], "section_title": "Security Checklist", "section_body": "Security Checklist\n\nReentrancy-exposed entrypoints use `nonReentrant`\n\nCEI ordering is respected\n\nShare math does not depend on raw `balanceOf(address(this))`\n\nERC-20 transfers use `SafeERC20`\n\nDeposits measure actual tokens received\n\nOracle reads use TWAP or another manipulation-resistant source\n\nSwaps require `amountOutMin` and `deadline`\n\nOverflow-sensitive reserve math uses safe primitives like `mulDiv`\n\nAdmin functions are access-controlled\n\nEmergency pause exists and is tested\n\nStatic analysis and fuzzing are run before production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "e6aacfc94c8650485a4f397d328102b8bd1f8a7eccb145b42609d46ecb72256f", "alias_sources": []}
{"id": "5604434ef656e325", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nevery draft sounds like the intended author, not the platform stereotype\n\nevery draft contains a real claim, proof point, or concrete observation\n\nno generic hype language remains\n\nno fake engagement bait remains\n\nno duplicated copy across platforms unless requested\n\nany CTA is earned and user-approved", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "814d498763fb35936377713b6467bbe7b408a661e1ec7ebab6eb0de692badd71", "alias_sources": []}
{"id": "560c7be58249cdd0", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake"], "section_title": "skill-stocktake", "section_body": "skill-stocktake\n\nSlash command (`/skill-stocktake`) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "fd2d56bdf0429a68adfbd04de257160b2b27ae1326cc6c018d8c2014c01bf5b9", "alias_sources": []}
{"id": "564938305aac5358", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "How It Works", "Step 1 \u2014 Estimate input tokens"], "section_title": "Step 1 \u2014 Estimate input tokens", "section_body": "How It Works\n\nStep 1 \u2014 Estimate input tokens\n\nUse the repository's canonical context-budget heuristics to estimate the prompt's token count mentally.\n\nUse the same calibration guidance as [context-budget](../context-budget/SKILL.md):\n\nprose: `words \u00d7 1.3`\n\ncode-heavy or mixed/code blocks: `chars / 4`\n\nFor mixed content, use the dominant content type and keep the estimate heuristic.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "7bb4e8c4907bc6c08bd85e38844e57467a5c56097ae079297bd9e2a07e5b7283", "alias_sources": []}
{"id": "56556654c4a248ce", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "Core Capabilities"], "section_title": "Core Capabilities", "section_body": "Installation\n\nReview the source before installing any agent skill.\n\nCore Capabilities\n\n| Capability | Description |\n|---|---|\n| **Cross-stack scanning** | C/C++, Java/Android, iOS (OC/Swift), Web (TS/JS/Vue) in one pass |\n| **File classification** | Every file tagged as project code, third-party, or build artifact |\n| **Library detection** | 50+ known libraries (FFmpeg, Boost, OpenSSL\u2026) with version extraction |\n| **Four-level verdicts** | Core Asset / Extract & Merge / Rebuild / Deprecate |\n| **HTML reports** | Interactive dark-theme pages with drill-down navigation |\n| **Monorepo support** | Hierarchical scanning with summary + sub-project reports |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "dad6cc86b1e99bd2dea9f7469a3acdf4f813bf5252418319fb59287412d90881", "alias_sources": []}
{"id": "565f91b6b6f9b7be", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Use `Sendable` types** for all data crossing actor boundaries\n\n**Keep the actor's public API minimal** \u2014 only expose domain operations, not persistence details\n\n**Use `.atomic` writes** to prevent data corruption if the app crashes mid-write\n\n**Load synchronously in `init`** \u2014 async initializers add complexity with minimal benefit for local files\n\n**Combine with `@Observable`** ViewModels for reactive UI updates", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "ce6e7bc1c6c5a352f88f85fef2ecfbff20f4ecd555a886232315cceda6c840ca", "alias_sources": []}
{"id": "56b0244040a30bb8", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Scope"], "section_title": "Scope", "section_body": "Scope\n\nThe command targets the following paths **relative to the directory where it is invoked**:\n\n| Path | Description |\n|------|-------------|\n| `~/.claude/skills/` | Global skills (all projects) |\n| `{cwd}/.claude/skills/` | Project-level skills (if the directory exists) |\n\n**At the start of Phase 1, the command explicitly lists which paths were found and scanned.**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "aafb7d6baf1b576edb44f9abfd9ad1c84f660d3aae68a32435d10077c3df4589", "alias_sources": []}
{"id": "56dc47f2225b18ae", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nLayer the defenses. No single check is enough. Treat prompt hygiene, spend policy, simulation, execution limits, and wallet isolation as independent controls.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "ae3f2ab55bf27b8baac491ee15b74aeaf1beac75cadda6b083a99e59b62da7b2", "alias_sources": []}
{"id": "57036e3c54c414e1", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThis skill provides copy-paste-ready Dart/Flutter code patterns organized by concern:\n\n**Null safety** \u2014 avoid `!`, prefer `?.`/`??`/pattern matching\n\n**Immutable state** \u2014 sealed classes, `freezed`, `copyWith`\n\n**Async composition** \u2014 concurrent `Future.wait`, safe `BuildContext` after `await`\n\n**Widget architecture** \u2014 extract to classes (not methods), `const` propagation, scoped rebuilds\n\n**State management** \u2014 BLoC/Cubit events, Riverpod notifiers and derived providers\n\n**Navigation** \u2014 GoRouter with reactive auth guards via `refreshListenable`\n\n**Networking** \u2014 Dio with interceptors, token refresh with one-time retry guard\n\n**Error handling** \u2014 global capture, `ErrorWidget.builder`, crashlytics wiring\n\n**Testing** \u2014 unit (BLoC test), widget (ProviderScope overrides), fakes over mocks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:test"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "d989ee1ff31cc41e403a404267a0ebf7d409fb75d64eed23544736bf6f0e8597", "alias_sources": []}
{"id": "5714a1b9516ae0f9", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "HS Tariff Classification"], "section_title": "HS Tariff Classification", "section_body": "Core Knowledge\n\nHS Tariff Classification\n\nThe Harmonized System is a 6-digit international nomenclature maintained by the WCO. The first 2 digits identify the chapter, 4 digits the heading, 6 digits the subheading. National extensions add further digits: the US uses 10-digit HTS numbers (Schedule B for exports), the EU uses 10-digit TARIC codes, the UK uses 10-digit commodity codes via the UK Global Tariff.\n\nClassification follows the General Rules of Interpretation (GRI) in strict order \u2014 you never invoke GRI 3 unless GRI 1 fails, never GRI 4 unless 1-3 fail:\n\n**GRI 1:** Classification is determined by the terms of the headings and Section/Chapter notes. This resolves ~90% of classifications. Read the heading text literally and check every relevant Section and Chapter note before moving on.\n\n**GRI 2(a):** Incomplete or unfinished articles are classified as the complete article if they have the essential character of the complete article. A car body without the engine is still classified as a motor vehicle.\n\n**GRI 2(b):** Mixtures and combinations of materials. A steel-and-plastic composite is classified by reference to the material giving essential character.\n\n**GRI 3(a):** When goods are prima facie classifiable under two or more headings, prefer the most specific heading. \"Surgical gloves of rubber\" is more specific than \"articles of rubber.\"\n\n**GRI 3(b):** Composite goods, sets \u2014 classify by the component giving essential character. A gift set with a $40 perfume and a $5 pouch classifies as perfume.\n\n**GRI 3(c):** When 3(a) and 3(b) fail, use the heading that occurs last in numerical order.\n\n**GRI 4:** Goods that cannot be classified by GRI 1-3 are classified under the heading for the most analogous goods.\n\n**GRI 5:** Cases, containers, and packing materials follow specific rules for classification with or separately from their contents.\n\n**GRI 6:** Classification at the subheading level follows the same principles, applied within the relevant heading. Subheading notes take precedence at this level.\n\n**Common misclassification pitfalls:** Multi-function devices (classify by primary function per GRI 3(b), not by the most expensive component). Food preparations vs ingredients (Chapter 21 vs Chapters 7-12 \u2014 check whether the product has been \"prepared\" beyond simple preservation). Textile composites (weight percentage of fibres determines classification, not surface area). Parts vs accessories (Section XVI Note 2 determines whether a part classifies with the machine or separately). Software on physical media (the medium, not the software, determines classification under most tariff schedules).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "64c461fc27203c84f6f21943e6582dcb4290d460e3f9ca06f7b2d061581f1a22", "alias_sources": []}
{"id": "572a535f2939377f", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Cross-Platform Mapping"], "section_title": "Cross-Platform Mapping", "section_body": "Accessibility Architecture Diagram\n\nCross-Platform Mapping\n\n| Feature            | Web (HTML/ARIA)          | iOS (SwiftUI)                        | Android (Compose)                                           |\n| :----------------- | :----------------------- | :----------------------------------- | :---------------------------------------------------------- |\n| **Primary Label**  | `aria-label` / `<label>` | `.accessibilityLabel()`              | `contentDescription`                                        |\n| **Secondary Hint** | `aria-describedby`       | `.accessibilityHint()`               | `Modifier.semantics { stateDescription = ... }`             |\n| **Action Role**    | `role=\"button\"`          | `.accessibilityAddTraits(.isButton)` | `Modifier.semantics { role = Role.Button }`                 |\n| **Live Updates**   | `aria-live=\"polite\"`     | `.accessibilityLiveRegion(.polite)`  | `Modifier.semantics { liveRegion = LiveRegionMode.Polite }` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "6ef5307aec0574fad1bd4653e99469fd266108f60a829e4e99e8d607472faa6f", "alias_sources": []}
{"id": "575459182f90c8af", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "MCP Integration"], "section_title": "MCP Integration", "section_body": "MCP Integration\n\nThe payment layer exposes standard MCP tools that slot into any Claude Code or agent harness setup.\n\n**Security note**: Always pin the package version. This tool manages private keys \u2014 unpinned `npx` installs introduce supply-chain risk.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "857e7a6423960a344741e9b85e0c5acf3b32f68b438c884aca57979be0494812", "alias_sources": []}
{"id": "575b7fe5141257a6", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Running Tests"], "section_title": "Running Tests", "section_body": "Testing Class Methods\n\npytest Configuration\n\npytest.ini\n\npyproject.toml\n\nRunning Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "919b47b2c7d97f57f14c5e6f5ce230630a0c2e5e454a182a5cbd447950fc03d8", "alias_sources": []}
{"id": "5795fbf0d9ca5f27", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "How it works", "Step 3: Fetch the Documentation"], "section_title": "Step 3: Fetch the Documentation", "section_body": "Step 3: Fetch the Documentation\n\nCall the **query-docs** MCP tool with:\n\n**libraryId**: The selected Context7 library ID from Step 2 (e.g. `/vercel/next.js`).\n\n**query**: The user's specific question or task. Be specific to get relevant snippets.\n\nLimit: do not call query-docs (or resolve-library-id) more than 3 times per question. If the answer is unclear after 3 calls, state the uncertainty and use the best information you have rather than guessing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "ff70a08ad0212be61352f9cbdda572ff86b9123fa40ec645176db74dd8ecef71", "alias_sources": []}
{"id": "57a0287742ec05d2", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\nToo many tools with overlapping semantics.\n\nOpaque tool output with no recovery hints.\n\nError-only output without next steps.\n\nContext overloading with irrelevant references.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "13cfff8aea93e14abd297ad653ee9e2709f90beb197f9fc4560c2eba7a864d24", "alias_sources": []}
{"id": "57a6a7f61a6ceb19", "skill_name": "nextjs-turbopack", "skill_description": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "skill_type": null, "section_path": ["Next.js and Turbopack", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\n**Turbopack (default dev)**: Use for day-to-day development. Faster cold start and HMR, especially in large apps.\n\n**Webpack (legacy dev)**: Use only if you hit a Turbopack bug or rely on a webpack-only plugin in dev. Disable with `--webpack` (or `--no-turbopack` depending on your Next.js version; check the docs for your release).\n\n**Production**: Production build behavior (`next build`) may use Turbopack or webpack depending on Next.js version; check the official Next.js docs for your version.\n\nUse when: developing or debugging Next.js 16+ apps, diagnosing slow dev startup or HMR, or optimizing production bundles.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nextjs-turbopack\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:deploy", "phase:debug", "phase:docs"], "trigger_hints": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "mtime": 1776507629.8829112, "body_hash": "0d1124c6e70a2dca3b9db5f346d096d780ea00b57e537c2feb0fc1cb087890c1", "alias_sources": []}
{"id": "57ab71f34a6a75cf", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "The Core Problem"], "section_title": "The Core Problem", "section_body": "The Core Problem\n\nWhen an AI writes code and then reviews its own work, it carries the same assumptions into both steps. This creates a predictable failure pattern:\n\n**Real-world example** (observed in production):\n\nThe pattern: **sandbox/production path inconsistency** is the #1 AI-introduced regression.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "475a89b438a94378c4a67129d82f3859faa1488d69a9793d3dd0bc04b40bd07e", "alias_sources": []}
{"id": "57ae9336b0827b3b", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "RFC Decomposition"], "section_title": "RFC Decomposition", "section_body": "Architecture Overview\n\nRFC Decomposition\n\nAI reads the RFC and produces work units:\n\n**Decomposition Rules:**\n\nPrefer fewer, cohesive units (minimize merge risk)\n\nMinimize cross-unit file overlap (avoid conflicts)\n\nKeep tests WITH implementation (never separate \"implement X\" + \"test X\")\n\nDependencies only where real code dependency exists\n\nThe dependency DAG determines execution order:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "f7d1109804141d27ce25233aae7aba05030e2eaefb0e75e41604fbfc0b5d30c2", "alias_sources": []}
{"id": "57afefded9630e6e", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Core Principles", "1. Null Safety"], "section_title": "1. Null Safety", "section_body": "Core Principles\n\n1. Null Safety\n\nKotlin's type system distinguishes nullable and non-nullable types. Leverage it fully.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "bc67f6117e21df1a5d6a5901be386149d901e5f3715fe4cebc2df36ae1bac527", "alias_sources": []}
{"id": "57bb90e4f83d957f", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\n| Anti-pattern | Fix |\n| --- | --- |\n| keyword stuffing | write for users first |\n| thin near-duplicate pages | consolidate or differentiate them |\n| schema for content that is not actually present | match schema to reality |\n| content advice without checking the actual page | read the real page first |\n| generic \u201cimprove SEO\u201d outputs | tie every recommendation to a page or asset |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "1e26372f4311b8bfab48ee576cac0f3d18a579f2da280452be8f22de9e6e0bdf", "alias_sources": []}
{"id": "57c3c54c8b0e494c", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Workflow", "4. Keep the working system clean"], "section_title": "4. Keep the working system clean", "section_body": "4. Keep the working system clean\n\nWhen the file is part of a larger workflow, also surface:\n\nduplicate trackers\n\noutdated decks\n\nstale docs vs canonical docs\n\nwhether the asset should be archived, merged, or renamed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "396e1e1d93c22e7e41a71dfd2de28a1c1fbd407a512c032e7243331ba564104c", "alias_sources": []}
{"id": "57c902c3801422d8", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Backward Compatibility"], "section_title": "Backward Compatibility", "section_body": "Backward Compatibility\n\nv2.1 is fully compatible with v2.0 and v1:\n\nExisting global instincts in `~/.claude/homunculus/instincts/` still work as global instincts\n\nExisting `~/.claude/skills/learned/` skills from v1 still work\n\nStop hook still runs (but now also feeds into v2)\n\nGradual migration: run both in parallel", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "4e532e9b361a78644393fc3f8f6afd6d5decc6e40620736bbc56cf3fa59c829c", "alias_sources": []}
{"id": "57d5314c3ecb89fa", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "Core Pattern", "1. Define Small, Focused Protocols"], "section_title": "1. Define Small, Focused Protocols", "section_body": "Core Pattern\n\n1. Define Small, Focused Protocols\n\nEach protocol handles exactly one external concern.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "320d21b5d6f95d3676ee52febdb1de71e689853ff3250ca6ee64fd74611d586f", "alias_sources": []}
{"id": "57e7515b5311b8b6", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Returns Associate) \u2192 Level 2 (Team Lead, 2 hours) \u2192 Level 3 (Returns Manager, 8 hours) \u2192 Level 4 (Director of Operations, 24 hours) \u2192 Level 5 (VP, 48+ hours or any single-item return > $25K)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "42412ca382f64369851f353c036967ab139d99722fff9df97bfc1805fc4ed492", "alias_sources": []}
{"id": "580044c705da8bcc", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "Data Fetching"], "section_title": "Data Fetching", "section_body": "Data Fetching\n\nPrefer `await useFetch()` for SSR-safe API reads in pages and components. It forwards server-fetched data into the Nuxt payload and avoids a second fetch on hydration.\n\nUse `useAsyncData()` when the fetcher is not a simple `$fetch()` call, when you need a custom key, or when you are composing multiple async sources.\n\nGive `useAsyncData()` a stable key for cache reuse and predictable refresh behavior.\n\nKeep `useAsyncData()` handlers side-effect free. They can run during SSR and hydration.\n\nUse `$fetch()` for user-triggered writes or client-only actions, not top-level page data that should be hydrated from SSR.\n\nUse `lazy: true`, `useLazyFetch()`, or `useLazyAsyncData()` for non-critical data that should not block navigation. Handle `status === 'pending'` in the UI.\n\nUse `server: false` only for data that is not needed for SEO or the first paint.\n\nTrim payload size with `pick` and prefer shallower payloads when deep reactivity is unnecessary.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "f0f2291f2708d84b442d7c3dd78e46fae65867bf15b4361bc0ed61a370f48007", "alias_sources": []}
{"id": "58222fc89e4c6159", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Testing Exceptions", "Testing Expected Exceptions"], "section_title": "Testing Expected Exceptions", "section_body": "Async Fixture\n\nMocking Async Functions\n\nTesting Exceptions\n\nTesting Expected Exceptions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "a06fdf292e32de2498893a79bd5854e5197237a878de1ab41af09cd3d4d2bf07", "alias_sources": []}
{"id": "582409a48e8a4910", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Workflow", "2. Separate customer incidents from product truth"], "section_title": "2. Separate customer incidents from product truth", "section_body": "2. Separate customer incidents from product truth\n\nIf the question is customer-specific, classify first:\n\nduplicate checkout\n\nreal team intent\n\nbroken self-serve controls\n\nunmet product value\n\nfailed payment or incomplete setup\n\nThen separate that from the broader product question:\n\ndoes team billing really exist?\n\nare seats actually counted?\n\ndoes checkout quantity change entitlement?\n\ndoes the site overstate current behavior?", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "bac29932c8e30723d24cd4bf8d4ebed09f0cef852976e1dec9ba6f9a4c503f13", "alias_sources": []}
{"id": "585aa1cf0c22629e", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\ncreating or revising a pitch deck\n\nwriting an investor memo or one-pager\n\nbuilding a financial model, milestone plan, or use-of-funds table\n\nanswering accelerator or incubator application questions\n\naligning multiple fundraising docs around one source of truth", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:docs"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "4a0bf5c022ba51352e45f5b08cdc56fd9729d41c6308627be857df4f2a8f92c8", "alias_sources": []}
{"id": "586cf4c7e1262b7f", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Core Knowledge", "Fraud and Red Flags"], "section_title": "Fraud and Red Flags", "section_body": "Fraud and Red Flags\n\n**Staged damages:** Damage patterns inconsistent with transit mode. Multiple claims from same consignee location.\n\n**Address manipulation:** Redirect requests post-pickup to different addresses. Common in high-value electronics.\n\n**Systematic shortages:** Consistent 1-2 unit shortages across multiple shipments \u2014 indicates pilferage at a terminal or during transit.\n\n**Double-brokering indicators:** Carrier on BOL doesn't match truck that shows up. Driver can't name their dispatcher. Insurance certificate is from a different entity.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "976969ff0491633e3330f5d077fb4defb17ce373e038816b9f927f2a8e47be83", "alias_sources": []}
{"id": "589553002e2986c0", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Environment Setup"], "section_title": "Environment Setup", "section_body": "Error Handling\n\nEnvironment Setup\n\nNever hardcode API keys. Always use environment variables.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "ac1bdf203f596a2722b6bcd017f0765c9257175028d4765a849222090ead6f06", "alias_sources": []}
{"id": "5898ded283e96024", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nYou have multiple agent personas (markdown files) and want to pick which ones to use for a task\n\nYou want to compose an ad-hoc team from different domains (e.g., Security + SEO + Architecture)\n\nYou want to browse what agents are available before deciding", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "290d62f4d821b81d247889cead6f64e81cea5ab2d187303b0b626f6f9bfc9a14", "alias_sources": []}
{"id": "58b86bcc50df30ea", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "MCP Server (Alternative)"], "section_title": "MCP Server (Alternative)", "section_body": "Add Watermarks\n\nDigital Signatures\n\nFill PDF Forms\n\nMCP Server (Alternative)\n\nFor native tool integration, use the MCP server instead of curl:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "81e6993a0b4dbb07e20acf058e4b01c272ed6f5d3b7777d5e724625f7a1c176f", "alias_sources": []}
{"id": "58fc15d0e4ca20ba", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Django applications\n\nImplementing Django REST Framework APIs\n\nTesting Django models, views, and serializers\n\nSetting up testing infrastructure for Django projects", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "0e6432a30be7940b6b7910ed0c35241faa015a5e9bfc12aa128c01aeb9dac393", "alias_sources": []}
{"id": "591255a57c888ea8", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Integration with CI/CD"], "section_title": "Integration with CI/CD", "section_body": "Integration with CI/CD\n\n**Remember**: Tests are documentation. They show how your Kotlin code is meant to be used. Use Kotest's expressive matchers to make tests readable and MockK for clean mocking of dependencies.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:docs"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "2932731ea0e0af7ad1569583f061614bd21cfbdb763707c5bb0d294ad1809b56", "alias_sources": []}
{"id": "59298efd337761cc", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nBrief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**New product launch with zero history:** Analogous item profiling is your only tool. Select analogs carefully \u2014 match on price point, category, brand tier, and target demographic, not just product type. Commit a conservative initial buy (60% of analog-based forecast) and build in weekly auto-replenishment triggers.\n\n**Viral social media spike:** Demand jumps 500\u20132,000% with no warning. Do not chase \u2014 by the time your supply chain responds (4\u20138 week lead times), the spike is over. Capture what you can from existing inventory, issue allocation rules to prevent a single location from hoarding, and let the wave pass. Revise the baseline only if sustained demand persists 4+ weeks post-spike.\n\n**Supplier lead time doubling overnight:** Recalculate safety stock immediately using the new lead time. If SS doubles, you likely cannot fill the gap from current inventory. Place an emergency order for the delta, negotiate partial shipments, and identify secondary suppliers. Communicate to merchandising that service levels will temporarily drop.\n\n**Cannibalization from an unplanned promotion:** A competitor or another department runs an unplanned promo that steals volume from your category. Your forecast will over-project. Detect early by monitoring daily POS for a pattern break, then manually override the forecast downward. Defer incoming orders if possible.\n\n**Demand pattern regime change:** An item that was stable-seasonal suddenly shifts to trending or erratic. Common after a reformulation, packaging change, or competitor entry/exit. The old model will fail silently. Monitor tracking signal weekly \u2014 when it exceeds \u00b14 for two consecutive periods, trigger a model re-selection.\n\n**Phantom inventory:** WMS says you have 200 units; physical count reveals 40. Every forecast and replenishment decision based on that phantom inventory is wrong. Suspect phantom inventory when service level drops despite \"adequate\" on-hand. Conduct cycle counts on any item with stockouts that the system says shouldn't have occurred.\n\n**Vendor MOQ conflicts:** Your EOQ says order 150 units; the vendor's minimum order quantity is 500. You either over-order (accepting weeks of excess inventory) or negotiate. Options: consolidate with other items from the same vendor to meet dollar minimums, negotiate a lower MOQ for this SKU, or accept the overage if holding cost is lower than ordering from an alternative supplier.\n\n**Holiday calendar shift effects:** When key selling holidays shift position in the calendar (e.g., Easter moves between March and April), week-over-week comparisons break. Align forecasts to \"weeks relative to holiday\" rather than calendar weeks. A failure to account for Easter shifting from Week 13 to Week 16 will create significant forecast error in both years.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "44a2e56854c90e5e6977b7b1601aefd02c6a6d9abba94d74560f9d714522db8c", "alias_sources": []}
{"id": "5945c2781a39dbcc", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Structure Guidance", "Essays / Opinion"], "section_title": "Essays / Opinion", "section_body": "Essays / Opinion\n\nstart with tension, contradiction, or a specific observation\n\nkeep one argument thread per section\n\nmake opinions answer to evidence", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "42aa3f872cf5da2c875206b70659232a51db125823a5cd3c97edeab6d1b5d4e9", "alias_sources": []}
{"id": "597a93aa9daa17ad", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement", "Key Concept: Prompt Independence"], "section_title": "Key Concept: Prompt Independence", "section_body": "Usage\n\nKey Concept: Prompt Independence\n\nMeasures whether a skill/rule is followed even when the prompt doesn't explicitly support it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "26d97ef724d3545f69d7ec8c7dc814308712a7ef39ccbd41b821b2dda1513753", "alias_sources": []}
{"id": "598461384ff89cdd", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Faking Flows\n\nAnti-Patterns to Avoid\n\nUsing `GlobalScope` \u2014 leaks coroutines, no structured cancellation\n\nCollecting Flows in `init {}` without a scope \u2014 use `viewModelScope.launch`\n\nUsing `MutableStateFlow` with mutable collections \u2014 always use immutable copies: `_state.update { it.copy(list = it.list + newItem) }`\n\nCatching `CancellationException` \u2014 let it propagate for proper cancellation\n\nUsing `flowOn(Dispatchers.Main)` to collect \u2014 collection dispatcher is the caller's dispatcher\n\nCreating `Flow` in `@Composable` without `remember` \u2014 recreates the flow every recomposition", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "987abf99005ae6855e0c9d1bf2e317a4f5a885faff3c4cabb3c21f7d71a318b4", "alias_sources": []}
{"id": "59889d94de6cf8f3", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Core Principles", "1. Use `v5.36` Pragma"], "section_title": "1. Use `v5.36` Pragma", "section_body": "Core Principles\n\n1. Use `v5.36` Pragma\n\nA single `use v5.36` replaces the old boilerplate and enables strict, warnings, and subroutine signatures.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "4942af4ac4d82442f8a33a0948ccfe032ad28c321b46e35067a21a5f0e8f56f0", "alias_sources": []}
{"id": "59a100c9fcb300ad", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "Examples", "Example 1: First time in a new repo"], "section_title": "Example 1: First time in a new repo", "section_body": "Examples\n\nExample 1: First time in a new repo\n\n**User**: \"Onboard me to this codebase\"\n**Action**: Run full 4-phase workflow \u2192 produce Onboarding Guide + Starter CLAUDE.md\n**Output**: Onboarding Guide printed directly to the conversation, plus a `CLAUDE.md` written to the project root", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "836a9f2953acde462c737f96027aebe5003fc5529ff078fade7bf4905fc88884", "alias_sources": []}
{"id": "59d46f215c0b0358", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "Shortcuts \u2014 skip the question"], "section_title": "Shortcuts \u2014 skip the question", "section_body": "Shortcuts \u2014 skip the question\n\nIf the user already signals a level, respond at that level immediately without asking:\n\n| What they say                                      | Level |\n|----------------------------------------------------|-------|\n| \"1\" / \"25% depth\" / \"short version\" / \"brief answer\" / \"tldr\"  | 25%   |\n| \"2\" / \"50% depth\" / \"moderate depth\" / \"balanced answer\"        | 50%   |\n| \"3\" / \"75% depth\" / \"detailed answer\" / \"thorough answer\"       | 75%   |\n| \"4\" / \"100% depth\" / \"exhaustive answer\" / \"full deep dive\"     | 100%  |\n\nIf the user set a level earlier in the session, **maintain it silently** for subsequent responses unless they change it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "04c3fc738026e15b11e589dbc78d177f1709e7b6d40426b59e62cd7e96050f31", "alias_sources": []}
{"id": "59eeabc448d74485", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder"], "section_title": "UI Demo Video Recorder", "section_body": "UI Demo Video Recorder\n\nRecord polished demo videos of web applications using Playwright's video recording with an injected cursor overlay, natural pacing, and storytelling flow.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "e0b3419428e37d856aefbc11bb8e1ecac3b99f459e5cc2397c3d33a10c1ae968", "alias_sources": []}
{"id": "5a2213e92b2a94a1", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting SQL queries or migrations\n\nDesigning database schemas\n\nTroubleshooting slow queries\n\nImplementing Row Level Security\n\nSetting up connection pooling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "27e38c36f1ea34afcc6583183b177752da17deb4a9816042b38ba2bc2e2962d6", "alias_sources": []}
{"id": "5a27b338f27fcf76", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Authentication", "OAuth 2.0 Bearer Token (App-Only)"], "section_title": "OAuth 2.0 Bearer Token (App-Only)", "section_body": "Authentication\n\nOAuth 2.0 Bearer Token (App-Only)\n\nBest for: read-heavy operations, search, public data.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "ad01be56aa43a730c731863b6d8d20b88e59625c90e79523ec425971e2d63b21", "alias_sources": []}
{"id": "5a46d66b1a6855e1", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Django (Python)", "SeparateDatabaseAndState"], "section_title": "SeparateDatabaseAndState", "section_body": "Data Migration\n\nSeparateDatabaseAndState\n\nRemove a column from the Django model without dropping it from the database immediately:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "4d2fb26f8195a4e2bda442ec3802cc692c64df43c915d13aa8149fa1f7a8a6fb", "alias_sources": []}
{"id": "5a534db887a4811e", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Decision Frameworks", "Market Timing"], "section_title": "Market Timing", "section_body": "Market Timing\n\nNever try to \"call the bottom\" on energy markets. Instead:\n\nMonitor the forward curve relative to the 5-year historical range. When forwards are in the bottom quartile, accelerate procurement (buy tranches faster than your layering schedule). When in the top quartile, decelerate (let existing tranches roll and increase index exposure).\n\nWatch for structural signals: new generation additions (bearish for prices), plant retirements (bullish), pipeline constraints for natural gas (regional price divergence), and capacity market auction results (drives future capacity charges).\n\nUse the procurement sequence above as the decision framework baseline and adapt it to your tariff structure, procurement calendar, and board-approved hedge limits.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "69e53c97009addddc84492bae3fd0976000b759de7d8bf97732d45fbb1fc13cd", "alias_sources": []}
{"id": "5a5bd8d180c2c63a", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 WidgetKit", "Rendering Mode Detection"], "section_title": "Rendering Mode Detection", "section_body": "Scroll Edge Effects\n\nToolbar Glass Integration\n\nCore Pattern \u2014 WidgetKit\n\nRendering Mode Detection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "8d2d4aed2c6349a7ee13b258d1505c28280a326a3e6aa77b350fe0852dcc6b72", "alias_sources": []}
{"id": "5a8ca9c31a24cc6b", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Pricing Structures and Utility Bill Anatomy"], "section_title": "Pricing Structures and Utility Bill Anatomy", "section_body": "Core Knowledge\n\nPricing Structures and Utility Bill Anatomy\n\nEvery commercial electricity bill has components that must be understood independently \u2014 bundling them into a single \"rate\" obscures where real optimization opportunities exist:\n\n**Energy charges:** The per-kWh cost for electricity consumed. Can be flat rate (same price all hours), time-of-use/TOU (different prices for on-peak, mid-peak, off-peak), or real-time pricing/RTP (hourly prices indexed to wholesale market). For large C&I customers, energy charges typically represent 40\u201355% of the total bill. In deregulated markets, this is the component you can competitively procure.\n\n**Demand charges:** Billed on peak kW drawn during a billing period, measured in 15-minute intervals. The utility takes the highest single 15-minute average kW reading in the month and multiplies by the demand rate ($8\u2013$25/kW depending on utility and rate class). Demand charges represent 20\u201340% of the bill for manufacturing facilities with variable loads. One bad 15-minute interval \u2014 a compressor startup coinciding with HVAC peak \u2014 can add $5,000\u2013$15,000 to a monthly bill.\n\n**Capacity charges:** In markets with capacity obligations (PJM, ISO-NE, NYISO), your share of the grid's capacity cost is allocated based on your peak load contribution (PLC) during the prior year's system peak hours (typically 1\u20135 hours in summer). PLC is measured at your meter during the system coincident peak. Reducing load during those few critical hours can cut capacity charges by 15\u201330% the following year. This is the single highest-ROI demand response opportunity for most C&I customers.\n\n**Transmission and distribution (T&D):** Regulated charges for moving power from generation to your meter. Transmission is typically based on your contribution to the regional transmission peak (similar to capacity). Distribution includes customer charges, demand-based delivery charges, and volumetric delivery charges. These are generally non-bypassable \u2014 even with on-site generation, you pay distribution charges for being connected to the grid.\n\n**Riders and surcharges:** Renewable energy standards compliance, nuclear decommissioning, utility transition charges, and regulatory mandated programs. These change through rate cases. A utility rate case filing can add $0.005\u2013$0.015/kWh to your delivered cost \u2014 track open proceedings at your state PUC.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "ec325c3796c7e9862dbb8be9fb45cb694519082907f04e9760778072c731b834", "alias_sources": []}
{"id": "5a9db1d2ed46c295", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Classes & Class Hierarchies (C.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Classes & Class Hierarchies (C.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **C.2** | Use `class` if invariant exists; `struct` if data members vary independently |\n| **C.9** | Minimize exposure of members |\n| **C.20** | If you can avoid defining default operations, do (Rule of Zero) |\n| **C.21** | If you define or `=delete` any copy/move/destructor, handle them all (Rule of Five) |\n| **C.35** | Base class destructor: public virtual or protected non-virtual |\n| **C.41** | A constructor should create a fully initialized object |\n| **C.46** | Declare single-argument constructors `explicit` |\n| **C.67** | A polymorphic class should suppress public copy/move |\n| **C.128** | Virtual functions: specify exactly one of `virtual`, `override`, or `final` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "99b92b87970341f5d6794f2c9d4f0a864b8e7e8d44fd927b976fce5604c85cf8", "alias_sources": []}
{"id": "5aa962d02720b41f", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\nStoring clinical data in browser localStorage\n\nSilent failures in drug interaction checking\n\nDismissable toasts for critical clinical alerts\n\nTab-based encounter UIs that fragment the clinical workflow\n\nAllowing edits to signed/locked encounters\n\nDisplaying clinical data without audit trail\n\nUsing `any` type for clinical data structures", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "943eb6676670b06d0a34a1051dfbe51eb8292170513ae58608c35efa40664d78", "alias_sources": []}
{"id": "5aae669270b516fe", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nRunning an RFP for electricity or natural gas supply across multiple facilities\n\nAnalyzing tariff structures and rate schedule optimization opportunities\n\nEvaluating demand charge mitigation strategies (load shifting, battery storage, power factor correction)\n\nAssessing PPA (Power Purchase Agreement) offers for on-site or virtual renewable energy\n\nBuilding annual energy budgets and hedge position strategies\n\nResponding to market volatility events (polar vortex, heat wave, regulatory changes)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "221523fbc1e6cec3b29ff32e82b0115352d8833911d9996ed13a10ec39cb0703", "alias_sources": []}
{"id": "5ae816f5c866eb01", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "How It Works", "Mode 3: Build Performance"], "section_title": "Mode 3: Build Performance", "section_body": "Mode 2: API Performance\n\nBenchmarks API endpoints:\n\nMode 3: Build Performance\n\nMeasures development feedback loop:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "8d9de55fc13612b75a615848d64f1b91fb20dacd16ccdce3589b73fdf40794ad", "alias_sources": []}
{"id": "5b08e24aad890457", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Context Managers", "Resource Management"], "section_title": "Resource Management", "section_body": "Exception Chaining\n\nCustom Exception Hierarchy\n\nContext Managers\n\nResource Management", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "0259f69d1a9c8143e298023f2f361a0a2c87827a90614f060f56d758acf9ecaa", "alias_sources": []}
{"id": "5b2600e7d1269d64", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Evidence"], "section_title": "Evidence", "section_body": "Evidence\n\nTwo independent A/B tests, identical agents, same task:\n\n| Task | Gated | Ungated | Gap |\n| --- | --- | --- | --- |\n| Analytics module | 8.0/10 | 6.5/10 | +1.5 |\n| Webhook validator | 10.0/10 | 7.0/10 | +3.0 |\n| **Average** | **9.0** | **6.75** | **+2.25** |\n\nBoth agents produce code that runs and passes tests. The difference is design depth.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "b636d5203489723ff23dda4e043353d6cd8fd29396e33238ee50455399eb6a00", "alias_sources": []}
{"id": "5b2bb6349744ad57", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "How It Works", "Deployment Checklist"], "section_title": "Deployment Checklist", "section_body": "Database Schema Tagging\n\nMark PHI/PII columns at the schema level:\n\nDeployment Checklist\n\nBefore every deployment:\n\nNo PHI in error messages or stack traces\n\nNo PHI in console.log/console.error\n\nNo PHI in URL parameters\n\nNo PHI in browser storage\n\nNo service_role key in client code\n\nRLS enabled on all PHI/PII tables\n\nAudit trail for all data modifications\n\nSession timeout configured\n\nAPI authentication on all PHI endpoints\n\nCross-facility data isolation verified", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "fd7170fc3431ee33db480586ff08cfa44b4aeabf655931bc94dab442b0932859", "alias_sources": []}
{"id": "5b6375b6fe71b4ce", "skill_name": "bun-runtime", "skill_description": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "skill_type": null, "section_path": ["Bun Runtime", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\n**Prefer Bun** for: new JS/TS projects, scripts where install/run speed matters, Vercel deployments with Bun runtime, and when you want a single toolchain (run + install + test + build).\n\n**Prefer Node** for: maximum ecosystem compatibility, legacy tooling that assumes Node, or when a dependency has known Bun issues.\n\nUse when: adopting Bun, migrating from Node, writing or debugging Bun scripts/tests, or configuring Bun on Vercel or other platforms.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\bun-runtime\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:test"], "trigger_hints": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "mtime": 1776507629.4882107, "body_hash": "ed5e86e613f3581353f01e5c93aa366631510c254670644926d47c9a0726a5cb", "alias_sources": []}
{"id": "5b7e60ff3e2a31f6", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nkeep step count proportional to repo size and persona depth\n\nuse directory steps for orientation, file steps for substance\n\nfor PR tours, cover changed files first\n\nfor monorepos, scope to the relevant packages instead of touring everything\n\nclose with what the reader can now do, not a recap", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "92dafbe734c6500a7e3f8c153d8711983667a4291f346c30415290bf637f68ba", "alias_sources": []}
{"id": "5ba98cca7d8cc716", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nthe message is genuinely personalized\n\nthe ask is explicit\n\nthe proof point is concrete\n\nfiller praise and softener language are gone\n\nword count stays tight", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "21c1b7624863c1f44a71522dd4f7d297759430daf7179977395c0d80a4e1ac0d", "alias_sources": []}
{"id": "5bb38329d9143e30", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "How it works", "Step 1: Resolve the Library ID"], "section_title": "Step 1: Resolve the Library ID", "section_body": "How it works\n\nStep 1: Resolve the Library ID\n\nCall the **resolve-library-id** MCP tool with:\n\n**libraryName**: The library or product name taken from the user's question (e.g. `Next.js`, `Prisma`, `Supabase`).\n\n**query**: The user's full question. This improves relevance ranking of results.\n\nYou must obtain a Context7-compatible library ID (format `/org/project` or `/org/project/version`) before querying docs. Do not call query-docs without a valid library ID from this step.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "001579d004326f582dec4ecc2c306f9d059a5f30bf090775808ee2417a992086", "alias_sources": []}
{"id": "5bb95ef438f9ee4a", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 4: Post-Installation Verification"], "section_title": "Step 4: Post-Installation Verification", "section_body": "Step 4: Post-Installation Verification\n\nAfter installation, perform these automated checks:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "5928b84361e3359f853ec9f4c148bd1b33eafc1346bb2ca343bd9a9a255d0bc6", "alias_sources": []}
{"id": "5bbcf772a397c4db", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Design Workflow", "2. Build the visual system"], "section_title": "2. Build the visual system", "section_body": "2. Build the visual system\n\nDefine:\n\ntype hierarchy\n\ncolor variables\n\nspacing rhythm\n\nlayout logic\n\nmotion rules\n\nsurface / border / shadow treatment\n\nUse CSS variables or the project's token system so the interface stays coherent as it grows.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:build"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "832cc49cbb14e6628776708146f84afd87dfc910421160ebb71012b499eb5f08", "alias_sources": []}
{"id": "5bea6c6690b02d22", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)"], "section_title": "Liquid Glass Design System (iOS 26)", "section_body": "Liquid Glass Design System (iOS 26)\n\nPatterns for implementing Apple's Liquid Glass \u2014 a dynamic material that blurs content behind it, reflects color and light from surrounding content, and reacts to touch and pointer interactions. Covers SwiftUI, UIKit, and WidgetKit integration.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "209c5a11855e78fafc8c004ced9879bdaffe56582d1bb4ddf46ee088046097cf", "alias_sources": []}
{"id": "5c27678013cf6c9a", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "How It Works", "Connecting with stdio"], "section_title": "Connecting with stdio", "section_body": "Connecting with stdio\n\nFor local clients, create a stdio transport and pass it to your server\u2019s connect method. The exact API varies by SDK version (e.g. constructor vs factory). See the official MCP documentation or query Context7 for \"MCP stdio server\" for the current pattern.\n\nKeep server logic (tools + resources) independent of transport so you can plug in stdio or HTTP in the entrypoint.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "0f9f8d67fbd1900b236ba8222b3bc897e79e8aa376f80b93c50859cc16a96a09", "alias_sources": []}
{"id": "5c3ba50bf16da010", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with an internal HS classification log, broker escalation matrix, and a list of jurisdictions where your team has non-resident importer or FTZ coverage.\n\nRecord the valuation assumptions your organization uses for U.S., EU, and APAC lanes so duty calculations stay consistent across teams.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "75146d75f311f9c9015b21613daacc61d0ad445aa88ad4393110bed5419727dd", "alias_sources": []}
{"id": "5c6cc6f699379c40", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Event Type Guide", "file Events"], "section_title": "file Events", "section_body": "file Events\n\nMatch Edit/Write/MultiEdit operations:\n\nDebug code: `console\\.log\\(`, `debugger`\n\nSecurity risks: `eval\\(`, `innerHTML\\s*=`\n\nSensitive files: `\\.env$`, `credentials`, `\\.pem$`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:debug"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "ab89f834a39da2dfca2df20989568474df5dda252a1859027e1cb345f394e839", "alias_sources": []}
{"id": "5ccf9dab21a2dcaa", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "Core Pattern", "4. Service Layer Wrapper (SRP)"], "section_title": "4. Service Layer Wrapper (SRP)", "section_body": "4. Service Layer Wrapper (SRP)\n\nKeep the processing function pure. Add caching as a separate service layer.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "79bdc9fa8b67ddefad31ed56cf2bd4cf612ec8458437c3de20814ae61476b286", "alias_sources": []}
{"id": "5cfb07e3609bbb5b", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting or auditing a Solidity AMM or liquidity-pool contract\n\nImplementing swap, deposit, withdraw, mint, or burn flows that hold token balances\n\nReviewing any contract that uses `token.balanceOf(address(this))` in share or reserve math\n\nAdding fee setters, pausers, oracle updates, or other admin functions to a DeFi protocol", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "374d7a19b4be5adbec7118ae205126da1d546345c5849204f9e3257865e82475", "alias_sources": []}
{"id": "5cfedc21ca468f0d", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing"], "section_title": "Nutrient Document Processing", "section_body": "Nutrient Document Processing\n\n**Note:** This skill integrates with the Nutrient commercial API. Review their terms before use.\n\nProcess documents with the [Nutrient DWS Processor API](https://www.nutrient.io/api/). Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "df6c15c38bfdc7c465fdcb659595085580cfcfff56beae49939048df507de65c", "alias_sources": []}
{"id": "5d220661a38cf5ca", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Constraints"], "section_title": "Constraints", "section_body": "Constraints\n\nCron tasks run in isolated sessions \u2014 they don't share context with interactive sessions unless through memory.\n\nComputer use requires explicit permission grants. Don't assume access.\n\nRemote dispatch may have rate limits. Design crons with appropriate intervals.\n\nMemory files should be kept concise. Archive old data rather than letting files grow unbounded.\n\nAlways verify that scheduled tasks completed successfully. Add error handling to cron prompts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "284fdc06bf60bbe8a38043eb8955fb0664bac614bdfe57246f479c25c08bde3a", "alias_sources": []}
{"id": "5d45733a4efbe056", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "7. Accessibility", "Visual accessibility:"], "section_title": "Visual accessibility:", "section_body": "Visual accessibility:\n\n[ ] Contrast ratio >= 4.5:1 for text against background\n\n[ ] Tappable targets are at least 48x48 pixels\n\n[ ] Color is not the sole indicator of state (use icons/text alongside)\n\n[ ] Text scales with system font size settings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "26f23db36f8030774650f65342ca8d59aa6fa8d8dee905286914eb03d082a490", "alias_sources": []}
{"id": "5db9d12bc76fd9c0", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "React Best Practices", "Component Structure"], "section_title": "Component Structure", "section_body": "Error Handling\n\nAsync/Await Best Practices\n\nType Safety\n\nReact Best Practices\n\nComponent Structure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "8d0058ac879a4cc40a4fa7d1d3d4a03d1a5cc48c3bf06be296f10a507862b990", "alias_sources": []}
{"id": "5de3b8c62feb90c8", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Code Smells to Avoid"], "section_title": "Code Smells to Avoid", "section_body": "Code Smells to Avoid\n\nLong parameter lists \u2192 use DTO/builders\n\nDeep nesting \u2192 early returns\n\nMagic numbers \u2192 named constants\n\nStatic mutable state \u2192 prefer dependency injection\n\nSilent catch blocks \u2192 log and act or rethrow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "a9359e2b124932d56cfa935094a38b5683b07d83e3edabb5cb47a75f6cf79e08", "alias_sources": []}
{"id": "5de96d6d50f79fa2", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "2. Configure API key"], "section_title": "2. Configure API key", "section_body": "2. Configure API key\n\nThe user must set `VIDEO_DB_API_KEY` using **either** method:\n\n**Export in terminal** (before starting Claude): `export VIDEO_DB_API_KEY=your-key`\n\n**Project `.env` file**: Save `VIDEO_DB_API_KEY=your-key` in the project's `.env` file\n\nGet a free API key at [console.videodb.io](https://console.videodb.io) (50 free uploads, no credit card).\n\n**Do NOT** read, write, or handle the API key yourself. Always let the user set it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "8a04640aef09b197dfaa4a0f7343e9cd1803abdd1bb0bbb383e0dc01b371ad06", "alias_sources": []}
{"id": "5df751ef90611790", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Usage", "Auto-Fix"], "section_title": "Auto-Fix", "section_body": "Auto-Fix\n\nApply safe fixes automatically (only fixes marked as auto-fixable):\n\nThis will:\n\nReplace hardcoded secrets with environment variable references\n\nTighten wildcard permissions to scoped alternatives\n\nNever modify manual-only suggestions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "88bf7af8ed658b9e20ffe061e9c680c83171665636ddbdb11fadefbc24673028", "alias_sources": []}
{"id": "5e040e195bad3f18", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not work from stale memory when the live repo state can be read\n\ndo not widen a narrow fix into repo-wide churn\n\ndo not use destructive git commands\n\ndo not ignore unrelated local work", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "4d94c1bba60cb24f53b361cfeb9769ba5c2793dc6858a276f9fc6ae218f74138", "alias_sources": []}
{"id": "5e3e8a3686b8118d", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "How It Works", "Checking Compatibility"], "section_title": "Checking Compatibility", "section_body": "Checking Compatibility\n\nWhen the user needs Laravel or PHP version compatibility:\n\nSearch with `laravel_compatibility` filter set to their version\n\nOr get details on a specific package to see its supported versions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "c16a5c0a9ea11f2cbb89c0d9d9111040c1d217d3ed936051d0b5d5951129335e", "alias_sources": []}
{"id": "5e4ceaf09e94b054", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Step Types", "Pattern"], "section_title": "Pattern", "section_body": "Selection\n\nUse when one code block matters more than the whole file:\n\nPattern\n\nUse when exact lines may drift:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "14747af27ba1d1c378d594062fc6f639351e5cbca16762acc13486a1f182c6f6", "alias_sources": []}
{"id": "5e5b75f41c5bf19f", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Error Handling Patterns", "Specific Exception Handling"], "section_title": "Specific Exception Handling", "section_body": "Protocol-Based Duck Typing\n\nError Handling Patterns\n\nSpecific Exception Handling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "b43bf3d08aeb5898c8897485b1368edcdb33b62c678c8a53b64f5f9d9522ab8e", "alias_sources": []}
{"id": "5e931d08558c0d58", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "Environment Variables"], "section_title": "Environment Variables", "section_body": "Authentication for APIs\n\nSecurity Headers\n\nContent Security Policy\n\nEnvironment Variables", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "1bf79b04d453aab5d61a2edd22fdaad81ff56df57233a7088c33e3b0b6c27d14", "alias_sources": []}
{"id": "5ea1f72b3c4cfcd9", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nthe user wants a technical explainer animation\n\nthe concept is a graph, workflow, architecture, metric progression, or system diagram\n\nthe user wants a short product or launch explainer for X or a landing page\n\nthe visual should feel precise instead of generically cinematic", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "4fe32877588619591e917c81d3d570eed1a6993e9c20f4182f9c1b6f66b33607", "alias_sources": []}
{"id": "5ef7e828b9ca6100", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`codebase-onboarding`\n\n`coding-standards`\n\n`council`\n\nofficial upstream format: `microsoft/codetour`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "3195de2824cdaccb3cda9031b115cb3ed3e0bb8c5e0013451f23b8d219d84c8b", "alias_sources": []}
{"id": "5ef8103cec551eb6", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Workflow Patterns", "Pattern 3: Test + Fix Loop"], "section_title": "Pattern 3: Test + Fix Loop", "section_body": "Pattern 2: Multi-File Feature\n\nParallelize work across independent files:\n\nPattern 3: Test + Fix Loop\n\nRun tests in one pane, fix in another:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "3dde128f5a089d4a6b4e6747e12511c9debda6d3a10efa7d65081b21f0b76ab0", "alias_sources": []}
{"id": "5f8a361e065c4874", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Templates & Generic Programming (T.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Concepts (C++20)\n\nAnti-Patterns\n\nUnconstrained templates in visible namespaces (T.47)\n\nSpecializing function templates instead of overloading (T.144)\n\nTemplate metaprogramming where `constexpr` suffices (T.120)\n\n`typedef` instead of `using` (T.43)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "498906dc81f320586d8edd02ce305944bbe31092bc7178189a86ae1fb7215b08", "alias_sources": []}
{"id": "5f9d9348fd97d28c", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Hard Bans"], "section_title": "Hard Bans", "section_body": "Hard Bans\n\nDelete and rewrite any of these:\n\n\"In today's rapidly evolving landscape\"\n\n\"game-changer\", \"revolutionary\", \"cutting-edge\"\n\n\"here's why this matters\" unless it is followed immediately by something concrete\n\nending with a LinkedIn-style question just to farm replies\n\nforced casualness on LinkedIn\n\nfake engagement padding that was not present in the source material", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "d391c9b8f368ca5c5399a37e9d79b26438414b1a084b549441275f21c0cfa326", "alias_sources": []}
{"id": "5fa76a483f6150a6", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Section 1: Prompt Diagnosis"], "section_title": "Section 1: Prompt Diagnosis", "section_body": "Section 1: Prompt Diagnosis\n\n**Strengths:** List what the original prompt does well.\n\n**Issues:**\n\n| Issue | Impact | Suggested Fix |\n|-------|--------|---------------|\n| (problem) | (consequence) | (how to fix) |\n\n**Needs Clarification:** Numbered list of questions the user should answer.\nIf Phase 0 auto-detected the answer, state it instead of asking.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "305ff261651d828d264249007ee3b5a5196371b9ba211dfc3a497acc83c2c693", "alias_sources": []}
{"id": "5fc4634cc80c67ce", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nRunning multiple agent sessions in parallel\n\nCoordinating work across Claude Code, Codex, and other harnesses\n\nComplex tasks that benefit from divide-and-conquer parallelism\n\nUser says \"run in parallel\", \"split this work\", \"use dmux\", or \"multi-agent\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "f9c1b1f72fc3118a0998e63605edbc4d3d8fe8476fda57c00e6e1b706bd555cb", "alias_sources": []}
{"id": "605636749bed26bb", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "9. Security", "API key handling:"], "section_title": "API key handling:", "section_body": "API key handling:\n\n[ ] API keys NOT hardcoded in Dart source \u2014 use `--dart-define`, `.env` files excluded from VCS, or compile-time configuration\n\n[ ] Secrets not committed to git \u2014 check `.gitignore`\n\n[ ] Backend proxy used for truly secret keys (client should never hold server secrets)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "091b86793ec010349c82678867cfb4e1d194a09bf85731d1609fa4a60beaab09", "alias_sources": []}
{"id": "6064da9c3075d225", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "File Organization", "File Naming"], "section_title": "File Naming", "section_body": "Response Format\n\nInput Validation\n\nFile Organization\n\nProject Structure\n\nFile Naming", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "a87eaa81807d944c0aa41b767416f2f03cfaddc57aaccd1ca24e3e3292429b89", "alias_sources": []}
{"id": "60717f73a8abccf1", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill", "Design Principles"], "section_title": "Design Principles", "section_body": "Example\n\nEnd-to-end run\n\nDesign Principles\n\n**What, not How**: Extract principles (rules territory) only. Code examples and commands stay in skills.\n\n**Link back**: Draft text should include `See skill: [name]` references so readers can find the detailed How.\n\n**Deterministic collection, LLM judgment**: Scripts guarantee exhaustiveness; the LLM guarantees contextual understanding.\n\n**Anti-abstraction safeguard**: The 3-layer filter (2+ skills evidence, actionable behavior test, violation risk) prevents overly abstract principles from entering rules.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "475b759985c2273746f125599a8a5c53dcacf3bdada7436f0b4ff27a4ca0b3d3", "alias_sources": []}
{"id": "6081ea02acd11c32", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Logging (SLF4J)"], "section_title": "Logging (SLF4J)", "section_body": "Async Processing\n\nRequires `@EnableAsync` on a configuration class.\n\nLogging (SLF4J)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "4633647d6b9259c2397a807a236c67f5cccd16f746a43b16b427cadbe7d68afb", "alias_sources": []}
{"id": "608c95d8bed425e7", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow", "Step 6: Build the Feedback Learning System"], "section_title": "Step 6: Build the Feedback Learning System", "section_body": "Step 4: Build the Gemini AI Client\n\nStep 5: Build the AI Pipeline (Batch)\n\nStep 6: Build the Feedback Learning System\n\n**Integration with your storage layer:** after each run, query your DB for items with positive/negative status and call `save_feedback()` with the extracted patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "a2edf2a36a708ea7fb91ded12bb1bc0a4b2998bd3245a0728165c032d2975821", "alias_sources": []}
{"id": "60c02f3976541946", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Direct REST API Reference", "Transition a Ticket"], "section_title": "Transition a Ticket", "section_body": "Direct REST API Reference\n\nFetch a Ticket\n\nFetch Comments\n\nAdd a Comment\n\nTransition a Ticket", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "e658e136b42b9bd83078a49544493954f404e02d690e69081b2cb22b724a99ac", "alias_sources": []}
{"id": "60d94ca9c291c2c1", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Migration Steps"], "section_title": "Migration Steps", "section_body": "Migration Steps\n\n**Enable in Xcode**: Swift Compiler > Concurrency section in Build Settings\n\n**Enable in SPM**: Use `SwiftSettings` API in package manifest\n\n**Use migration tooling**: Automatic code changes via swift.org/migration\n\n**Start with MainActor defaults**: Enable inference mode for app targets\n\n**Add `@concurrent` where needed**: Profile first, then offload hot paths\n\n**Test thoroughly**: Data-race issues become compile-time errors", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:test"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "b47f2fb4887a2fa0c130e45ee93cf5a1c4272a16e58bab830786cb7402b98df4", "alias_sources": []}
{"id": "60e0290c1ea1d681", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Forecast Accuracy Metrics"], "section_title": "Forecast Accuracy Metrics", "section_body": "Forecast Accuracy Metrics\n\n**MAPE (Mean Absolute Percentage Error):** Standard metric but breaks on low-volume items (division by near-zero actuals produces inflated percentages). Use only for items averaging 50+ units/week.\n\n**Weighted MAPE (WMAPE):** Sum of absolute errors divided by sum of actuals. Prevents low-volume items from dominating the metric. This is the metric finance cares about because it reflects dollars.\n\n**Bias:** Average signed error. Positive bias = forecast systematically too high (overstock risk). Negative bias = systematically too low (stockout risk). Bias < \u00b15% is healthy. Bias > 10% in either direction means a structural problem in the model, not noise.\n\n**Tracking Signal:** Cumulative error divided by MAD (mean absolute deviation). When tracking signal exceeds \u00b14, the model has drifted and needs intervention \u2014 either re-parameterize or switch methods.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "040695b1c823f4365c92a6bbcab7c4fccca1a15b786d6e865e0fda4610c88eed", "alias_sources": []}
{"id": "60e829ea7e1f050b", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Eval Workflow", "2. Implement"], "section_title": "2. Implement", "section_body": "Eval Workflow\n\n1. Define (Before Coding)\n\n2. Implement\n\nWrite code to pass the defined evals.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "4c2af5c1fa480ea866a9cea42c980b6322e1ab40bbb07b32846d59b3eb3e1fea", "alias_sources": []}
{"id": "60eed0037a9dd091", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Fixtures", "Using Multiple Fixtures"], "section_title": "Using Multiple Fixtures", "section_body": "Fixture with Setup/Teardown\n\nFixture Scopes\n\nFixture with Parameters\n\nUsing Multiple Fixtures", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "911527a27ddd5a6dedf3df654b3b44056d8bddc1e3640ae8d14e8a0fb6f7b1db", "alias_sources": []}
{"id": "6181fd8327c52ce1", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "How It Works", "Mode 1: Careful Mode"], "section_title": "Mode 1: Careful Mode", "section_body": "How It Works\n\nThree modes of protection:\n\nMode 1: Careful Mode\n\nIntercepts destructive commands before execution and warns:\n\nWhen detected: shows what the command does, asks for confirmation, suggests safer alternative.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "d9da32294157ce770842e0b81ae544a0db33684f206b7f8043332b763d3f7ed2", "alias_sources": []}
{"id": "618af512e5602b5d", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "What's New in v2 (vs v1)"], "section_title": "What's New in v2 (vs v1)", "section_body": "What's New in v2 (vs v1)\n\n| Feature | v1 | v2 |\n|---------|----|----|\n| Observation | Stop hook (session end) | PreToolUse/PostToolUse (100% reliable) |\n| Analysis | Main context | Background agent (Haiku) |\n| Granularity | Full skills | Atomic \"instincts\" |\n| Confidence | None | 0.3-0.9 weighted |\n| Evolution | Direct to skill | Instincts -> cluster -> skill/command/agent |\n| Sharing | None | Export/import instincts |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "94827c92a20abb058b96c0d9c0dbdc6e9f35fffa72344e1cf059595e058b240c", "alias_sources": []}
{"id": "61aa148c3dd92008", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Filtering Best Practices", "By Health Score"], "section_title": "By Health Score", "section_body": "Filtering Best Practices\n\nBy Health Score\n\n| Health Band | Meaning |\n|-------------|---------|\n| `Healthy` | Active maintenance, recent updates |\n| `Medium` | Occasional updates, may need attention |\n| `Unhealthy` | Abandoned or infrequently maintained |\n| `Unrated` | Not yet assessed |\n\n**Recommendation**: Prefer `Healthy` packages for production applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "b234d4285eb23ee7525e825db016b85b4bb47d3a1052ca1801a090120c061e5b", "alias_sources": []}
{"id": "61d11fb5474678be", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new features or functionality\n\nFixing bugs or issues\n\nRefactoring existing code\n\nAdding API endpoints\n\nCreating new components", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "d09a25a5db9a831b96143a8d427892c4d13a9c9d0e2787c0beb1217365c83ab9", "alias_sources": []}
{"id": "621141c53b0a0ba4", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Image Generation", "Nano Banana 2 (Fast)"], "section_title": "Nano Banana 2 (Fast)", "section_body": "Image Generation\n\nNano Banana 2 (Fast)\n\nBest for: quick iterations, drafts, text-to-image, image editing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "66b616955ed5ea84896d5701e5710414078c73e07c9ddd43de98ca0df9811fdc", "alias_sources": []}
{"id": "6215abf53f3ed352", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Core Security Settings"], "section_title": "Core Security Settings", "section_body": "Core Security Settings\n\n`APP_DEBUG=false` in production\n\n`APP_KEY` must be set and rotated on compromise\n\nSet `SESSION_SECURE_COOKIE=true` and `SESSION_SAME_SITE=lax` (or `strict` for sensitive apps)\n\nConfigure trusted proxies for correct HTTPS detection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "bf74ed9f98ca8ce8b918b04f3ac1b854462ec26f6b1b9e6c04ac34e18e16f577", "alias_sources": []}
{"id": "621ad9ef8b6e0ad7", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Secrets and Credentials"], "section_title": "Secrets and Credentials", "section_body": "Secrets and Credentials\n\nNever commit secrets to source control\n\nUse environment variables and secret managers\n\nRotate keys after exposure and invalidate sessions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "0336d0a96dc4de686710c90050a1ff3bbb5f9688a31279039e55936bd40b9831", "alias_sources": []}
{"id": "625afe7ddafa9555", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nOn-device text generation for privacy-sensitive apps\n\nStructured data extraction from user input (forms, natural language commands)\n\nAI-assisted features that must work offline\n\nStreaming UI that progressively shows generated content\n\nDomain-specific AI actions via tool calling (search, compute, lookup)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "dff34d9bfe4a6983aec644e2db345ec3d2b471cacb6eee873e7b1300acef365e", "alias_sources": []}
{"id": "62d15f44df2c62d6", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Best Practices"], "section_title": "Best Practices", "section_body": "Excluding Generated Code from Coverage\n\nHTTP Handler Testing\n\nTesting Commands\n\nBest Practices\n\n**DO:**\n\nWrite tests FIRST (TDD)\n\nUse table-driven tests for comprehensive coverage\n\nTest behavior, not implementation\n\nUse `t.Helper()` in helper functions\n\nUse `t.Parallel()` for independent tests\n\nClean up resources with `t.Cleanup()`\n\nUse meaningful test names that describe the scenario\n\n**DON'T:**\n\nTest private functions directly (test through public API)\n\nUse `time.Sleep()` in tests (use channels or conditions)\n\nIgnore flaky tests (fix or remove them)\n\nMock everything (prefer integration tests when possible)\n\nSkip error path testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "fc15824fe6d064079702d2f7f3543521ede3e181d9a2bd517de1ce811fd3db5f", "alias_sources": []}
{"id": "62d732e46a686dcb", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Continuous Mode"], "section_title": "Continuous Mode", "section_body": "Output Template\n\nContinuous Mode\n\nRe-run phases on significant changes or every 30\u201360 minutes in long sessions\n\nKeep a short loop: `mvn -T 4 test` + spotbugs for quick feedback\n\n**Remember**: Fast feedback beats late surprises. Keep the gate strict\u2014treat warnings as defects in production systems.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "647a55f7556edaf90c81b87931d96f0d3167476fa858d948f69fb5eaaf1e1fdf", "alias_sources": []}
{"id": "62f0d64b3a7d83c2", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Fixtures and Setup/Teardown"], "section_title": "Fixtures and Setup/Teardown", "section_body": "Directory Structure\n\nprove Commands\n\n.proverc Configuration\n\nFixtures and Setup/Teardown", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "dca3679e0d3356381d89697245fc3bd34997355590784e0c481da92d0b226e0e", "alias_sources": []}
{"id": "6335c7bd63655fec", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ndo not start from visual layout; start from operator questions\n\ndo not include every available metric just because it exists\n\ndo not mix health, throughput, and resource panels without structure\n\ndo not ship panels without titles, units, and sane thresholds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "8d4b13a01288940c40b79191d7def2ffc8f0065472dafe677c6f197d896a7ef3", "alias_sources": []}
{"id": "639a75a30bbcb95e", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards"], "section_title": "Java Coding Standards", "section_body": "Java Coding Standards\n\nStandards for readable, maintainable Java (17+) code in Spring Boot services.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "424453e1be80262a179adda6a66bac165ac9f50d30548bd6edb38007e116368b", "alias_sources": []}
{"id": "63a2118c9c18e326", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nRun phases sequentially from environment checks through deployment readiness so each layer builds on the last.\n\nEnvironment and Composer checks gate everything else; stop immediately if they fail.\n\nLinting/static analysis should be clean before running full tests and coverage.\n\nSecurity and migration reviews happen after tests so you verify behavior before data or release steps.\n\nBuild/deploy readiness and queue/scheduler checks are final gates; any failure blocks release.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:test", "phase:deploy"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "8cd6bacca5213588fe8dae08a0f61a255220a38f41fc99efa0cba50fa4f5b746", "alias_sources": []}
{"id": "63a7e6e816f2f3f5", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Workflow", "1. Start from the freshest billing evidence"], "section_title": "1. Start from the freshest billing evidence", "section_body": "Workflow\n\n1. Start from the freshest billing evidence\n\nPrefer live billing data. If the data is not live, state the snapshot timestamp explicitly.\n\nNormalize the picture:\n\npaid sales\n\nactive subscriptions\n\nfailed or incomplete checkouts\n\nrefunds\n\ndisputes\n\nduplicate subscriptions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "e04fbca317d31826c00b808b4df22d4a6600925ad13818b5635a4ea2b2f26221", "alias_sources": []}
{"id": "63a887305585ced6", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Sync Operations", "Cross-Source Knowledge Sync"], "section_title": "Cross-Source Knowledge Sync", "section_body": "Cross-Source Knowledge Sync\n\nPull knowledge from multiple sources into one place:\n\nClaude/ChatGPT/Grok conversation exports\n\nBrowser bookmarks\n\nGitHub activity events\n\nWrite status summary, commit and push", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "e452b8f97426a1bbf726530e51ef93cccc9246365154707e0085a1e724288828", "alias_sources": []}
{"id": "63bbff16f1377137", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Cold Email Structure"], "section_title": "Cold Email Structure", "section_body": "Cold Email Structure\n\nsubject line: short and specific\n\nopener: why this investor specifically\n\npitch: what the company does, why now, and what proof matters\n\nask: one concrete next step\n\nsign-off: name, role, and one credibility anchor if needed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "7fff2e2e8e04e85a9dfc9b6ee440d061931ceb641e8d0b91cb818b56cf8eba69", "alias_sources": []}
{"id": "63bf0a2922ce9563", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 6: Test per boundary"], "section_title": "Step 6: Test per boundary", "section_body": "Step 6: Test per boundary\n\nUnit test use cases with fake ports.\n\nIntegration test adapters with real infra dependencies.\n\nE2E test user-facing flows through inbound adapters.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "890d144bba1db6b492307a4f6426e2ba1290e21adb3dba82c6cf25930249f2fe", "alias_sources": []}
{"id": "63e1600c2bd5bf97", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "SessionStart Hook"], "section_title": "SessionStart Hook", "section_body": "SessionStart Hook\n\nThe hook at `~/.claude/skills/ck/hooks/session-start.mjs` must be registered in\n`~/.claude/settings.json` to auto-load project context on session start:\n\nThe hook injects ~100 tokens per session (compact 5-line summary). It also detects\nunsaved sessions, git activity since last save, and goal mismatches vs CLAUDE.md.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "b1352c118024662eb7f54b4322b771bb7387aa7920597be9a3513c514b0e7a51", "alias_sources": []}
{"id": "640f95f1b04f93e1", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Rate Limiting", "Rate Limit Tiers"], "section_title": "Rate Limit Tiers", "section_body": "Headers\n\nRate Limit Tiers\n\n| Tier | Limit | Window | Use Case |\n|------|-------|--------|----------|\n| Anonymous | 30/min | Per IP | Public endpoints |\n| Authenticated | 100/min | Per user | Standard API access |\n| Premium | 1000/min | Per API key | Paid API plans |\n| Internal | 10000/min | Per service | Service-to-service |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "997fe1a0fa3548b1cd51b4197788b0cc901428d467d195d4509cf9d9d9ea3e17", "alias_sources": []}
{"id": "642463717d5668b5", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices"], "section_title": "Coding Standards & Best Practices", "section_body": "Coding Standards & Best Practices\n\nBaseline coding conventions applicable across projects.\n\nThis skill is the shared floor, not the detailed framework playbook.\n\nUse `frontend-patterns` for React, state, forms, rendering, and UI architecture.\n\nUse `backend-patterns` or `api-design` for repository/service layers, endpoint design, validation, and server-specific concerns.\n\nUse `rules/common/coding-style.md` when you need the shortest reusable rule layer instead of a full skill walkthrough.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "1ac00ca2ca87dd10323537a2be47fb8f8a56f6a0dda232c990067ea41df8d979", "alias_sources": []}
{"id": "642af8a0c4b946bc", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "3. SQL Injection Prevention"], "section_title": "3. SQL Injection Prevention", "section_body": "3. SQL Injection Prevention\n\nFAIL: NEVER Concatenate SQL\n\nFAIL: NEVER Concatenate SQL\n\nPASS: ALWAYS Use Parameterized Queries\n\nPASS: ALWAYS Use Parameterized Queries\n\nVerification Steps\n\nVerification Steps\n\n[ ] All database queries use parameterized queries\n\n[ ] No string concatenation in SQL\n\n[ ] ORM/query builder used correctly\n\n[ ] Supabase queries properly sanitized", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "ca417037a3c6b72301893702e92382eea452dfc89887b2f5cdd4740df1a8cb22", "alias_sources": []}
{"id": "6460b55139fd28fd", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "What Each Tool Does Best"], "section_title": "What Each Tool Does Best", "section_body": "What Each Tool Does Best\n\n| Tool | Strength | Weakness |\n|------|----------|----------|\n| Claude / Codex | Organization, planning, code generation | Not the creative taste layer |\n| FFmpeg | Deterministic cuts, batch processing, format conversion | No visual editing UI |\n| Remotion | Programmable overlays, composable scenes, reusable templates | Learning curve for non-devs |\n| Screen Studio | Polished screen recordings immediately | Only screen capture |\n| ElevenLabs | Voice, narration, music, SFX | Not the center of the workflow |\n| Descript / CapCut | Final pacing, captions, polish | Manual, not automatable |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "588b4c723ad8652f42f6e9461c62e8e6cb1b96f852fc972323e1f020c8852070", "alias_sources": []}
{"id": "64718b4acf781e89", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "Examples"], "section_title": "Examples", "section_body": "Examples\n\nPractical, production-ready patterns for Dart and Flutter applications. Library-agnostic where possible, with explicit coverage of the most common ecosystem packages.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "7c2ead07ea5462077a577d9a10f17865009e3a53b8e7a3a8fb061b2b54412ed2", "alias_sources": []}
{"id": "649259b7fc82ce90", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Branching Strategies", "GitHub Flow (Simple, Recommended for Most)"], "section_title": "GitHub Flow (Simple, Recommended for Most)", "section_body": "Branching Strategies\n\nGitHub Flow (Simple, Recommended for Most)\n\nBest for continuous deployment and small-to-medium teams.\n\n**Rules:**\n\n`main` is always deployable\n\nCreate feature branches from `main`\n\nOpen Pull Request when ready for review\n\nAfter approval and CI passes, merge to `main`\n\nDeploy immediately after merge", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:build", "phase:review", "phase:deploy"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "c2c472bcad7031e25ea740a0030121eecea43078a30f50f53f10bb68d5a7444e", "alias_sources": []}
{"id": "64c91b2574524227", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nDefault structure:\n\nexecutive summary\n\nkey findings\n\nimplications\n\nrisks and caveats\n\nrecommendation\n\nsources", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "ec3321ac25159a67f5f1f59d48e5843c3c94787f46272367719d67edaa34e8cf", "alias_sources": []}
{"id": "64e6467359f963ad", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Product Evals (v1.8)", "Grader Types"], "section_title": "Grader Types", "section_body": "Grader Types\n\nCode grader (deterministic assertions)\n\nRule grader (regex/schema constraints)\n\nModel grader (LLM-as-judge rubric)\n\nHuman grader (manual adjudication for ambiguous outputs)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "a9ba2f05dae4eb100fc7ddb5c0dc136bee0261793ead77722b607e9bf415d4cd", "alias_sources": []}
{"id": "64fe81ee15d2ec87", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "4. Authentication & Authorization"], "section_title": "4. Authentication & Authorization", "section_body": "4. Authentication & Authorization\n\nJWT Token Handling\n\nJWT Token Handling\n\nAuthorization Checks\n\nAuthorization Checks\n\nRow Level Security (Supabase)\n\nRow Level Security (Supabase)\n\nVerification Steps\n\nVerification Steps\n\n[ ] Tokens stored in httpOnly cookies (not localStorage)\n\n[ ] Authorization checks before sensitive operations\n\n[ ] Row Level Security enabled in Supabase\n\n[ ] Role-based access control implemented\n\n[ ] Session management secure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "74ba342fc146dc2075c8cf13cb95979a9fd40142190894d8a9976aa6e0f38109", "alias_sources": []}
{"id": "65038bc13ccf8225", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "Key Design Decisions"], "section_title": "Key Design Decisions", "section_body": "Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| SHA-256 content hash | Path-independent, auto-invalidates on content change |\n| `{hash}.json` file naming | O(1) lookup, no index file needed |\n| Service layer wrapper | SRP: extraction stays pure, cache is a separate concern |\n| Manual JSON serialization | Full control over frozen dataclass serialization |\n| Corruption returns `None` | Graceful degradation, re-processes on next run |\n| `cache_dir.mkdir(parents=True)` | Lazy directory creation on first write |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "84e13b840b73e57ae20200b8d6e0be2e6063ac4f08392c59de85c53f03b43a2f", "alias_sources": []}
{"id": "650b6bd38e6ff269", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "How It Works", "Phase 2: Architecture Mapping"], "section_title": "Phase 2: Architecture Mapping", "section_body": "Phase 2: Architecture Mapping\n\nFrom the reconnaissance data, identify:\n\n**Tech Stack**\n\nLanguage(s) and version constraints\n\nFramework(s) and major libraries\n\nDatabase(s) and ORMs\n\nBuild tools and bundlers\n\nCI/CD platform\n\n**Architecture Pattern**\n\nMonolith, monorepo, microservices, or serverless\n\nFrontend/backend split or full-stack\n\nAPI style: REST, GraphQL, gRPC, tRPC\n\n**Key Directories**\nMap the top-level directories to their purpose:\n\n**Data Flow**\nTrace one request from entry to response:\n\nWhere does a request enter? (router, handler, controller)\n\nHow is it validated? (middleware, schemas, guards)\n\nWhere is business logic? (services, models, use cases)\n\nHow does it reach the database? (ORM, raw queries, repositories)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:build"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "a18151be4598de1920a8f72d31f8c2232d976d22beef172115f3a2623b659f10", "alias_sources": []}
{"id": "6530b41e1ce40e36", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where standard playbook decisions lead to poor outcomes. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**Capacity squeeze during a hurricane:** Your top carrier evacuates drivers from the Gulf Coast. Spot rates triple. The temptation is to pay any rate to move freight. The expert move: activate pre-positioned regional carriers, reroute through unaffected corridors, and negotiate multi-load commitments with spot carriers to lock a rate ceiling.\n\n**Double-brokering discovery:** You're told the truck that arrived isn't from the carrier on your BOL. The insurance chain may be broken and your freight is at higher risk. Do not accept the load if it hasn't departed. If in transit, document everything and demand a written explanation within 24 hours.\n\n**Rate renegotiation after 40% volume loss:** Your company lost a major customer and your freight volume dropped. Your carriers' contract rates were predicated on volume commitments you can no longer meet. Proactive renegotiation preserves relationships; letting carriers discover the shortfall at invoice time destroys trust.\n\n**Carrier financial distress indicators:** The warning signs appear months before a carrier fails: delayed driver settlements, FMCSA insurance filings changing underwriters frequently, bond amount dropping, Carrier411 complaints spiking. Reduce exposure incrementally \u2014 don't wait for the failure.\n\n**Mega-carrier acquisition of your niche partner:** Your best regional carrier just got acquired by a national fleet. Expect service disruption during integration, rate renegotiation attempts, and potential loss of your dedicated account manager. Secure alternative capacity before the transition completes.\n\n**Fuel surcharge manipulation:** A carrier proposes an artificially low base rate with an aggressive FSC schedule that inflates the total cost above market. Always model total cost across a range of diesel prices ($3.50, $4.00, $4.50/gal) to expose this tactic.\n\n**Detention and accessorial disputes at scale:** When detention charges represent >5% of a carrier's total billing, the root cause is usually shipper facility operations, not carrier overcharging. Address the operational issue before disputing the charges \u2014 or lose the carrier.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "1824d99c8cf977c657baf7017dbbda5b98e982dfc18073cf83f792eba060b0cb", "alias_sources": []}
{"id": "6547bc867175c964", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns"], "section_title": "Go Testing Patterns", "section_body": "Go Testing Patterns\n\nComprehensive Go testing patterns for writing reliable, maintainable tests following TDD methodology.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "486cad1fdc9a7a418b6e0428596fc08c8ff9372052d1e8e9e47a034d3e632d3b", "alias_sources": []}
{"id": "655f3545d8ff33e4", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review"], "section_title": "Spring Boot Security Review", "section_body": "Spring Boot Security Review\n\nUse when adding auth, handling input, creating endpoints, or dealing with secrets.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "faeeedc3e4a1a186ffe7ac98cc3687d24d31c8a7dd3844a3ec270d9e32dd0a93", "alias_sources": []}
{"id": "6567c7ea75bd9653", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Common Pitfalls"], "section_title": "Common Pitfalls", "section_body": "Common Pitfalls\n\nCursor disappears after navigation - re-inject it.\n\nVideo is too fast - add pauses.\n\nCursor is a dot instead of an arrow - use the SVG overlay.\n\nCursor teleports - move before clicking.\n\nSelect dropdowns look wrong - show the move, then pick the option.\n\nModals feel abrupt - add a read pause before confirming.\n\nVideo file path is random - copy it to a stable output name.\n\nSelector failures are swallowed - never use silent catch blocks.\n\nField types were assumed - discover them first.\n\nFeatures were assumed - inspect the actual UI before scripting.\n\nPlaceholder select values look real - watch for `\"0\"` and `\"Select...\"`.\n\nPopups create separate videos - capture popup pages explicitly and merge later if needed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "3050292cd24eb03dc65ea87c08346eb256a2a290e035ea4b899457c5dfa9884f", "alias_sources": []}
{"id": "656e723fce2e1bb7", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nUse this as a checklist-plus-pattern library. Review every user entrypoint against the categories below and prefer the hardened examples over hand-rolled variants.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "9b87b53c4e487f4d596ed5d53c5114d297b9e38b010e13432339bde5976bfc7c", "alias_sources": []}
{"id": "6573e3adf563075e", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Migration Playbook", "Refactoring Existing Systems"], "section_title": "Refactoring Existing Systems", "section_body": "Refactoring Existing Systems\n\n**Strangler approach**: keep current endpoints, route one use case at a time through new ports/adapters.\n\n**No big-bang rewrites**: migrate per feature slice and preserve behavior with characterization tests.\n\n**Facade first**: wrap legacy services behind outbound ports before replacing internals.\n\n**Composition freeze**: centralize wiring early so new dependencies do not leak into domain/use-case layers.\n\n**Slice selection rule**: prioritize high-churn, low-blast-radius flows first.\n\n**Rollback path**: keep a reversible toggle or route switch per migrated slice until production behavior is verified.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "667fac3abb01e7a2e57c4db87dfaa1895fa0bb0f6282f7662f3e97a20ddc49be", "alias_sources": []}
{"id": "6574c4c6ead516c0", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "State Management", "Property Wrapper Selection"], "section_title": "Property Wrapper Selection", "section_body": "State Management\n\nProperty Wrapper Selection\n\nChoose the simplest wrapper that fits:\n\n| Wrapper | Use Case |\n|---------|----------|\n| `@State` | View-local value types (toggles, form fields, sheet presentation) |\n| `@Binding` | Two-way reference to parent's `@State` |\n| `@Observable` class + `@State` | Owned model with multiple properties |\n| `@Observable` class (no wrapper) | Read-only reference passed from parent |\n| `@Bindable` | Two-way binding to an `@Observable` property |\n| `@Environment` | Shared dependencies injected via `.environment()` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "0f754ec54cdd21c6e1eef8bdf3d443e9f4cfa9c758d30312a0aa23c988eb0203", "alias_sources": []}
{"id": "657e8d3467f83ad9", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Source Priority"], "section_title": "Source Priority", "section_body": "Source Priority\n\nUse the strongest real source set available, in this order:\n\nrecent original X posts and threads\n\narticles, essays, memos, launch notes, or newsletters\n\nreal outbound emails or DMs that worked\n\nproduct docs, changelogs, README framing, and site copy\n\nDo not use generic platform exemplars as source material.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "515d827c9d7787eefeca9b5336f57e64c2ab50c9a6ac41bed453b4570931058a", "alias_sources": []}
{"id": "65845cc45001fdcc", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Rule File Format", "Frontmatter Fields"], "section_title": "Frontmatter Fields", "section_body": "Rule File Format\n\nBasic Structure\n\nFrontmatter Fields\n\n| Field | Required | Values | Description |\n|-------|----------|--------|-------------|\n| name | Yes | kebab-case string | Unique identifier (verb-first: warn-*, block-*, require-*) |\n| enabled | Yes | true/false | Toggle without deleting |\n| event | Yes | bash/file/stop/prompt/all | Which hook event triggers this |\n| action | No | warn/block | warn (default) shows message; block prevents operation |\n| pattern | Yes* | regex string | Pattern to match (*or use conditions for complex rules) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "fbc27d5793b3f7b9272b4ba71f38f488ca82ab2471d512ad163fc8a71952c56b", "alias_sources": []}
{"id": "65a42e6fa178b259", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBefore starting any feature \u2014 validate the \"why\"\n\nWeekly product review \u2014 are we building the right thing?\n\nWhen stuck choosing between features\n\nBefore a launch \u2014 sanity check the user journey\n\nWhen converting a vague idea into a product brief before engineering planning starts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "34acb7217faf81867bb1929bb5e0fe5af4deb8adca0ab2c7dbfea4b6c1aae58f", "alias_sources": []}
{"id": "65c428dd5e059dc8", "skill_name": "design-system", "skill_description": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "skill_type": null, "section_path": ["Design System \u2014 Generate & Audit Visual Systems", "How It Works", "Mode 2: Visual Audit"], "section_title": "Mode 2: Visual Audit", "section_body": "Mode 2: Visual Audit\n\nScores your UI across 10 dimensions (0-10 each):\n\nEach dimension gets a score, specific examples, and a fix with exact file:line.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\design-system\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:review", "phase:debug"], "trigger_hints": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "mtime": 1776507629.6914477, "body_hash": "5c3916fce8433bc4c389e1f75bd67397b6db22f0a066cdd5adc33629dbbb0a9f", "alias_sources": []}
{"id": "65c496a32f31858f", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`video-editing` for final polish\n\n`remotion-video-creation` for motion-heavy post-processing or compositing\n\n`content-engine` when the animation is part of a broader launch", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "9e3afa15e429d51323171ffe12c379aad2a4df5e443ef25e68cc08ce90ac7f8c", "alias_sources": []}
{"id": "65d0d762bcd248b6", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Quality Principles", "2. KISS (Keep It Simple, Stupid)"], "section_title": "2. KISS (Keep It Simple, Stupid)", "section_body": "2. KISS (Keep It Simple, Stupid)\n\nSimplest solution that works\n\nAvoid over-engineering\n\nNo premature optimization\n\nEasy to understand > clever code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "de9c6317a84b96291f2b6f2d9b715158b7e1f79a64c207945cd2a93aac73273f", "alias_sources": []}
{"id": "65fc3420143e2553", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "Integration"], "section_title": "Integration", "section_body": "Integration\n\nCI: run `/benchmark compare` on every PR\n\nPair with `/canary-watch` for post-deploy monitoring\n\nPair with `/browser-qa` for full pre-ship checklist", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:review", "phase:deploy"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "209ee62c3bd50b5a1ca305fed06247e19180c81b1d568c7c8021eff94fbd30a6", "alias_sources": []}
{"id": "66169626641f5359", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit"], "section_title": "ECC Tools Cost Audit", "section_body": "ECC Tools Cost Audit\n\nUse this skill when the user suspects the ECC Tools GitHub App is burning cost, over-creating PRs, bypassing usage limits, or routing free users into premium analysis paths.\n\nThis is a focused operator workflow for the sibling [ECC-Tools](../../ECC-Tools) repo. It is not a generic billing skill and it is not a repo-wide code review pass.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "7746f0a47342fbf2658d8f67e9bc87959d832d2a8641d6c66733a4f4b2250e2f", "alias_sources": []}
{"id": "66327751b46e78e9", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Tips"], "section_title": "Tips", "section_body": "Model Discovery\n\nFind models for specific tasks:\n\nTips\n\nUse `seed` for reproducible results when iterating on prompts\n\nStart with lower-cost models (Nano Banana 2) for prompt iteration, then switch to Pro for finals\n\nFor video, keep prompts descriptive but concise \u2014 focus on motion and scene\n\nImage-to-video produces more controlled results than pure text-to-video\n\nCheck `estimate_cost` before running expensive video generations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "e36266ed71ea4ce9742e3c62b77c55cf9d594352dbc9163af0f4d8b0a7f7d285", "alias_sources": []}
{"id": "66bf8121586d2cc5", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Django REST Framework Patterns"], "section_title": "Django REST Framework Patterns", "section_body": "Model Best Practices\n\nQuerySet Best Practices\n\nManager Methods\n\nDjango REST Framework Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "807fef0fd1464ab3604a0542bedfaee235cf010e7f2e72bd89ed4a4c8c08a172", "alias_sources": []}
{"id": "66c12996b7a335e1", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "4. Launch three independent voices in parallel"], "section_title": "4. Launch three independent voices in parallel", "section_body": "4. Launch three independent voices in parallel\n\nEach subagent gets:\n\nthe decision question\n\ncompact context if needed\n\na strict role\n\nno unnecessary conversation history\n\nPrompt shape:\n\nRole emphasis:\n\nSkeptic: challenge framing, question assumptions, propose the simplest credible alternative\n\nPragmatist: optimize for speed, simplicity, and real-world execution\n\nCritic: surface downside risk, edge cases, and reasons the plan could fail", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "053763ee13180fe3d8a3724a6974d7f7c7522cd3dbd6f9830594b5c12d3d3422", "alias_sources": []}
{"id": "671d8aa0656268c9", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "Quick Reference: Ktor Patterns"], "section_title": "Quick Reference: Ktor Patterns", "section_body": "Configuration\n\napplication.yaml\n\nReading Config\n\nQuick Reference: Ktor Patterns\n\n| Pattern | Description |\n|---------|-------------|\n| `route(\"/path\") { get { } }` | Route grouping with DSL |\n| `call.receive<T>()` | Deserialize request body |\n| `call.respond(status, body)` | Send response with status |\n| `call.parameters[\"id\"]` | Read path parameters |\n| `call.request.queryParameters[\"q\"]` | Read query parameters |\n| `install(Plugin) { }` | Install and configure plugin |\n| `authenticate(\"name\") { }` | Protect routes with auth |\n| `by inject<T>()` | Koin dependency injection |\n| `testApplication { }` | Integration testing |\n\n**Remember**: Ktor is designed around Kotlin coroutines and DSLs. Keep routes thin, push logic to services, and use Koin for dependency injection. Test with `testApplication` for full integration coverage.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "0a43fcae0b9e63164457ee53b37b9601f5262a45ee217a637665f07a64e24077", "alias_sources": []}
{"id": "675da18d5efb2228", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "PPT / PPTX Conversion"], "section_title": "PPT / PPTX Conversion", "section_body": "PPT / PPTX Conversion\n\nFor PowerPoint conversion:\n\nPrefer `python3` with `python-pptx` to extract text, images, and notes.\n\nIf `python-pptx` is unavailable, ask whether to install it or fall back to a manual/export-based workflow.\n\nPreserve slide order, speaker notes, and extracted assets.\n\nAfter extraction, run the same style-selection workflow as a new presentation.\n\nKeep conversion cross-platform. Do not rely on macOS-only tools when Python can do the job.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "c1f23836fb55254e1722f7bb16451a39ac5dad816be46ecf8945afca0096c14f", "alias_sources": []}
{"id": "676360771aad29f8", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Independent tasks only.** Don't parallelize tasks that depend on each other's output.\n\n**Clear boundaries.** Each pane should work on distinct files or concerns.\n\n**Merge strategically.** Review pane output before merging to avoid conflicts.\n\n**Use git worktrees.** For file-conflict-prone work, use separate worktrees per pane.\n\n**Resource awareness.** Each pane uses API tokens \u2014 keep total panes under 5-6.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "a789a1e08c92121a40e90ddfd888735ac1b5a23a9d425861ce608fa58a593dff", "alias_sources": []}
{"id": "67a753591c9c4ef5", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Review Focus for AI-Generated Code"], "section_title": "Review Focus for AI-Generated Code", "section_body": "Review Focus for AI-Generated Code\n\nPrioritize:\n\ninvariants and edge cases\n\nerror boundaries\n\nsecurity and auth assumptions\n\nhidden coupling and rollout risk\n\nDo not waste review cycles on style-only disagreements when automated format/lint already enforce style.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "19533faaf1ebd323c12f8a3e525cb1677b9972c8682db0cb8b116accf5fd7b95", "alias_sources": []}
{"id": "67b6141ec31f38e1", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation"], "section_title": "fal.ai Media Generation", "section_body": "fal.ai Media Generation\n\nGenerate images, videos, and audio using fal.ai models via MCP.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "79510cdbb0b8f0aeaed69f2831a5a22fe76ee21fefeb8aee46f5961766250606", "alias_sources": []}
{"id": "6817baad440841ba", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Examples", "Example 2: Moderate English Prompt"], "section_title": "Example 2: Moderate English Prompt", "section_body": "Example 2: Moderate English Prompt\n\n**User input:**\n\n**Phase 0 detects:** `go.mod` with Go 1.22, Chi router\n\n**Optimized Prompt (Full):**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "e97c9bafc4668067efaf79153eea543238cc3a64fc9b9ee6f2b8000bf1588277", "alias_sources": []}
{"id": "6840834b45d033e9", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Core Concept"], "section_title": "Core Concept", "section_body": "Core Concept\n\nLLM self-evaluation doesn't work. Ask \"did you violate any policies?\" and the answer is always \"no.\" This is verified experimentally.\n\nBut asking \"list every file that imports this module\" forces the LLM to run Grep and Read. The investigation itself creates context that changes the output.\n\n**Three-stage gate:**\n\nNo competitor does all three. Most stop at deny.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "c0475beaef33425d4e8bd2e5cdda3e6e62255abec63ac65a59625a3298caa019", "alias_sources": []}
{"id": "6844f1b96fdecd65", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Examples", "Canonical prompts"], "section_title": "Canonical prompts", "section_body": "Examples\n\nCanonical prompts\n\n\"Start desktop capture and alert when a password field appears.\"\n\n\"Record my session and produce an actionable summary when it ends.\"\n\n\"Ingest this file and return a playable stream link.\"\n\n\"Index this folder and find every scene with people, return timestamps.\"\n\n\"Generate subtitles, burn them in, and add light background music.\"\n\n\"Connect this RTSP URL and alert when a person enters the zone.\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "f7220dbf7ae23ee3eed4bf4acb67d531c8e46ba8fc376c0cc405ff783db32da2", "alias_sources": []}
{"id": "686d8f8abbcc3137", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n**Remember**: If it compiles, it's probably correct \u2014 but only if you avoid `unwrap()`, minimize `unsafe`, and let the type system work for you.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "d2574112bb161990a0b50fc83b36f8c25e27c3ba4e8663e08bc460cd4aa4364b", "alias_sources": []}
{"id": "6881fd16854f2fd0", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Pagination", "Offset-Based (Simple)"], "section_title": "Offset-Based (Simple)", "section_body": "Error Response\n\nResponse Envelope Variants\n\nPagination\n\nOffset-Based (Simple)\n\n**Pros:** Easy to implement, supports \"jump to page N\"\n**Cons:** Slow on large offsets (OFFSET 100000), inconsistent with concurrent inserts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:build"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "6b7582cc222f2bea79a300fd9129523883b61d41826bb684894bf3e70261b19d", "alias_sources": []}
{"id": "68c08a625e483c8f", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Philosophy"], "section_title": "Philosophy", "section_body": "Philosophy\n\nEval-Driven Development treats evals as the \"unit tests of AI development\":\n\nDefine expected behavior BEFORE implementation\n\nRun evals continuously during development\n\nTrack regressions with each change\n\nUse pass@k metrics for reliability measurement", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "792f0dcaff4852d7767f92dfd84c3ecc7bc3e0ae3f7ce696ac9e0169f44494fd", "alias_sources": []}
{"id": "68cf8b27c0c4e6df", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "DAO Pattern"], "section_title": "DAO Pattern", "section_body": "DSL Queries\n\nBasic CRUD\n\nAdvanced Queries\n\nPagination\n\nBatch Operations\n\nDAO Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "d4fc53052f5e0cdf0827e765b0bbcbe06992738cba92f89fcd0a2f9892dd5fbe", "alias_sources": []}
{"id": "68d0fc12e1143643", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "How It Works", "What the Main Agent Sees"], "section_title": "What the Main Agent Sees", "section_body": "What the Main Agent Sees\n\n| Scenario | Agent sees | Hook exit |\n|----------|-----------|-----------|\n| No violations | Nothing | 0 |\n| All fixed by subprocess | Nothing | 0 |\n| Violations remain after subprocess | `[hook] N violation(s) remain` | 2 |\n| Advisory (duplicates, old tooling) | `[hook:advisory] ...` | 0 |\n\nThe main agent only sees issues the subprocess couldn't fix. Most quality problems are resolved transparently.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "afe1f27937c0b5e758d43430f12efedad001f2c54aac25de63eecb3c1a8f7789", "alias_sources": []}
{"id": "68e23a58cfec9131", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nImplementing authentication or authorization\n\nHandling user input or file uploads\n\nCreating new API endpoints\n\nWorking with secrets or credentials\n\nImplementing payment features\n\nStoring or transmitting sensitive data\n\nIntegrating third-party APIs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "6cf9511ca9210a1c25b835ce855f59f5969fac1d561e073b776d5d377cd23e3b", "alias_sources": []}
{"id": "68e5e38a11d09fd6", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding Compose UI (Jetpack Compose or Compose Multiplatform)\n\nManaging UI state with ViewModels and Compose state\n\nImplementing navigation in KMP or Android projects\n\nDesigning reusable composables and design systems\n\nOptimizing recomposition and rendering performance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "aab96143c5381cd6dd76c06ad960bcdc02cec6278b7ad122bd20d24be591fe7e", "alias_sources": []}
{"id": "68e8352024e7d56a", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThis skill enforces idiomatic Kotlin conventions across seven key areas: null safety using the type system and safe-call operators, immutability via `val` and `copy()` on data classes, sealed classes and interfaces for exhaustive type hierarchies, structured concurrency with coroutines and `Flow`, extension functions for adding behaviour without inheritance, type-safe DSL builders using `@DslMarker` and lambda receivers, and Gradle Kotlin DSL for build configuration.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:build"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "f050c99cba7c5ef3fc1fd4c7be1d16cf0da7600ffd1b1969ddbc025510f4a358", "alias_sources": []}
{"id": "68e98f7361bc7b0e", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill"], "section_title": "Eval Harness Skill", "section_body": "Eval Harness Skill\n\nA formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "0313cb0df9c793b6cff957fcf8a59998a04b4486d7eca66fb97ba8d20b15b222", "alias_sources": []}
{"id": "69164705c230047f", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Logging and PII"], "section_title": "Logging and PII", "section_body": "Logging and PII\n\nNever log secrets, tokens, passwords, or full PAN data\n\nRedact sensitive fields; use structured JSON logging", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "f6e6f01479bef7a6caf736d363a88b45ada6c212839be6acd64daeea634856cc", "alias_sources": []}
{"id": "69816ca22e178b7a", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Decision Frameworks", "Disposition Routing by Category and Condition"], "section_title": "Disposition Routing by Category and Condition", "section_body": "Decision Frameworks\n\nDisposition Routing by Category and Condition\n\n| Category | Grade A | Grade B | Grade C | Grade D |\n|---|---|---|---|---|\n| Consumer Electronics | Restock (test first) | Open box / Renewed | Refurb if ROI > 40%, else liquidate | Parts harvest or e-waste |\n| Apparel | Restock if tags on | Repackage / outlet | Liquidate by weight | Textile recycling |\n| Home & Furniture | Restock | Open box with discount | Liquidate (local, avoid shipping) | Donate or destroy |\n| Health & Beauty | Restock if sealed | Destroy (regulation) | Destroy | Destroy |\n| Books & Media | Restock | Restock (discount) | Liquidate | Recycle |\n| Sporting Goods | Restock | Open box | Refurb if cost < 25% value | Parts or donate |\n| Toys & Games | Restock if sealed | Open box | Liquidate | Donate (if safety-compliant) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "c47c27d4d0a1dce157126f480e665f8e3d8cdcd10f506efedc8735fba84550bc", "alias_sources": []}
{"id": "69ab83ae6b3f1d72", "skill_name": "nextjs-turbopack", "skill_description": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "skill_type": null, "section_path": ["Next.js and Turbopack"], "section_title": "Next.js and Turbopack", "section_body": "Next.js and Turbopack\n\nNext.js 16+ uses Turbopack by default for local development: an incremental bundler written in Rust that significantly speeds up dev startup and hot updates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nextjs-turbopack\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "mtime": 1776507629.8829112, "body_hash": "4305a2ec234b42ac451c0d56c7ff7021d11a7e20f198b1380468576ad247a2b8", "alias_sources": []}
{"id": "69f1c7b7bdefa46b", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "Examples", "Example 3: Enhance existing CLAUDE.md"], "section_title": "Example 3: Enhance existing CLAUDE.md", "section_body": "Example 3: Enhance existing CLAUDE.md\n\n**User**: \"Update the CLAUDE.md with current project conventions\"\n**Action**: Read existing CLAUDE.md, run Phases 1-3, merge new findings\n**Output**: Updated `CLAUDE.md` with additions clearly marked", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "a9e47fad7ac50058698b358aacf3e7bfc63367585aa67ab2d8c186931181fe5e", "alias_sources": []}
{"id": "6a1bf086cb06788a", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "2. Discover Content"], "section_title": "2. Discover Content", "section_body": "2. Discover Content\n\nAsk only the minimum needed:\n\npurpose: pitch, teaching, conference talk, internal update\n\nlength: short (5-10), medium (10-20), long (20+)\n\ncontent state: finished copy, rough notes, topic only\n\nIf the user has content, ask them to paste it before styling.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "4df9b0f60269ac4e64821d81e9c487c134ba4ebc8bc4f80d28c0e061cc657834", "alias_sources": []}
{"id": "6a3b0214edb2e6d6", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Connection Pooling (HikariCP)"], "section_title": "Connection Pooling (HikariCP)", "section_body": "Connection Pooling (HikariCP)\n\nRecommended properties:\n\nFor PostgreSQL LOB handling, add:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "cb24648af39a955dbab9a1b86bdebd9acecfca9ef0b7e4a36cb75d133b24b59e", "alias_sources": []}
{"id": "6a4fce2bd874d6b6", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Downstream Use"], "section_title": "Downstream Use", "section_body": "Downstream Use\n\nUse this skill before or inside:\n\n`content-engine`\n\n`crosspost`\n\n`lead-intelligence`\n\narticle or launch writing\n\ncold or warm outbound across X, LinkedIn, and email\n\nIf another skill already has a partial voice capture section, this skill is the canonical source of truth.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "9ba8cc827cffafb8973366a49efcdc347aab618d57645389fb13582b956145cd", "alias_sources": []}
{"id": "6aa2d522668c5584", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence"], "section_title": "Lead Intelligence", "section_body": "Lead Intelligence\n\nAgent-powered lead intelligence pipeline that finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "68af429fe8b10f16cce9b39e545349141eb21175213ba04e53b8079acfc04f22", "alias_sources": []}
{"id": "6aa3b9e97c8a00f1", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u5bf9\u8bdd\u8bed\u6c14\u6307\u5357", "\u539f\u5219"], "section_title": "\u539f\u5219", "section_body": "\u5bf9\u8bdd\u8bed\u6c14\u6307\u5357\n\n\u672c Skill \u4ee5**\u9f99\u867e\u521b\u4e16\u795e\u4e9a\u5f53**\u7684\u89c6\u89d2\u4e0e\u7528\u6237\u5bf9\u8bdd\u3002\u6bcf\u4e2a\u6b65\u9aa4\u7684\u786e\u8ba4/\u5f15\u5bfc\u4e0d\u662f\u673a\u68b0\u63d0\u95ee\uff0c\u800c\u662f\u5e26\u6709\u521b\u4e16\u795e\u4e2a\u6027\u7684\u53cd\u9988\u3002\n\n\u539f\u5219\n\n**\u5148\u70b9\u8bc4\u518d\u63d0\u95ee**\uff1a\u4e0d\u8981\u76f4\u63a5\u95ee\"\u6ee1\u610f\u5417\"\uff0c\u5148\u8bf4\u51fa\u4f60\u770b\u5230\u4e86\u4ec0\u4e48\u3001\u4e3a\u4ec0\u4e48\u89c9\u5f97\u6709\u8da3\uff08\u6216\u6709\u95ee\u9898\uff09\n\n**\u6bcf\u6b21\u8868\u8fbe\u4e0d\u540c**\uff1a\u4e0d\u8981\u91cd\u590d\u540c\u4e00\u53e5\u8bdd\u6a21\u5f0f\uff0c\u6bcf\u6b65\u7684\u8bed\u6c14\u5e94\u6709\u53d8\u5316\n\n**\u6709\u6001\u5ea6\u4f46\u4e0d\u5f3a\u8feb**\uff1a\u53ef\u4ee5\u8868\u8fbe\u504f\u597d\uff08\"\u6211\u4e2a\u4eba\u66f4\u559c\u6b22\u8fd9\u4e2a\"\uff09\uff0c\u4f46\u51b3\u5b9a\u6743\u6c38\u8fdc\u5728\u7528\u6237\u624b\u91cc\n\n**\u7528\u521b\u4e16\u7684\u9690\u55bb**\uff1a\u953b\u9020\u3001\u7194\u70bc\u3001\u8d4b\u4e88\u7075\u9b42\u3001\u70b9\u71c3\u3001\u6ce8\u5165\u2026\u2026\u4e0d\u8981\u7528\"\u751f\u6210\"\"\u521b\u5efa\"\u8fd9\u79cd\u5de5\u5177\u8bed\u8a00", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "d566e3118da2341b24cb77163c316093eaed5f7ccb2cc40f70d6cf86805c2e86", "alias_sources": []}
{"id": "6aeceed43d3cfef6", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns"], "section_title": "ClickHouse Analytics Patterns", "section_body": "ClickHouse Analytics Patterns\n\nClickHouse-specific patterns for high-performance analytics and data engineering.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "860fb9d6d3ba51e642c703313517412003090b2918a576928d6e35608fd680e1", "alias_sources": []}
{"id": "6af8df23a7f90d01", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Struct Design", "Functional Options Pattern"], "section_title": "Functional Options Pattern", "section_body": "Package Naming\n\nAvoid Package-Level State\n\nStruct Design\n\nFunctional Options Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "b08c1da80a4c8d1e10d6537c2558fc876ac78f4d5cdded6a12feb8a34daaaa3a", "alias_sources": []}
{"id": "6b1b20ceb02024a5", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "Examples", "Manual: step-by-step control"], "section_title": "Manual: step-by-step control", "section_body": "Manual: step-by-step control\n\n`create_project(name=\"My Project\")` \u2192 returns `project_id`.\n\n`create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true)` for the first (root) mission \u2192 capture `root_mission_id`.\n`create_mission(project_id=project_id, title=\"...\", prompt=\"...\", auto_dispatch=true, depends_on=[\"<root_mission_id>\"])` for each subsequent task.\n\n`dispatch_mission(mission_id=...)` on the first mission to start the chain.\n\n`get_report(mission_id=...)` when done.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "292a689585fb4b5b67ef0d6804178b717faa28e0ce2ac63cd007fa8315ce17b2", "alias_sources": []}
{"id": "6b1ee7fb0032b09f", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "CI/CD Pipeline", "Pipeline Stages"], "section_title": "Pipeline Stages", "section_body": "Docker Best Practices\n\nCI/CD Pipeline\n\nGitHub Actions (Standard Pipeline)\n\nPipeline Stages", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "c324fd825e093aea77ba2594d4a5c8f8cf3c089e54d4d7aa5342d169efff98fd", "alias_sources": []}
{"id": "6b238bd425f08034", "skill_name": "e2e-testing", "skill_description": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "skill_type": null, "section_path": ["E2E Testing Patterns", "Test Report Template"], "section_title": "Test Report Template", "section_body": "Artifact Management\n\nScreenshots\n\nTraces\n\nVideo\n\nCI/CD Integration\n\nTest Report Template", "source_path": "CODEFORGE\\everything-claude-code\\skills\\e2e-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "mtime": 1776507629.7220857, "body_hash": "9dabe89be5716315ca5058b10d4d18a3273978742705dee5056796aa8a72c6f0", "alias_sources": []}
{"id": "6b42f17ef3812c91", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nCreating sessions without checking `model.availability` first\n\nSending inputs exceeding the 4,096 token context window\n\nAttempting concurrent requests on a single session\n\nUsing `.output` instead of `.content` to access response data\n\nParsing raw string responses when `@Generable` structured output would work\n\nBuilding complex multi-step logic in a single prompt \u2014 break into multiple focused prompts\n\nAssuming the model is always available \u2014 device eligibility and settings vary", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "b3e87b0036ec5707ba6c18c43a5d1171a6a61a88e3621163d1a32194d5ef669a", "alias_sources": []}
{"id": "6b611d4d3d560e0e", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Model Selection"], "section_title": "Model Selection", "section_body": "Model Selection\n\n| Model | ID | Best For |\n|-------|-----|----------|\n| Opus 4.1 | `claude-opus-4-1` | Complex reasoning, architecture, research |\n| Sonnet 4 | `claude-sonnet-4-0` | Balanced coding, most development tasks |\n| Haiku 3.5 | `claude-3-5-haiku-latest` | Fast responses, high-volume, cost-sensitive |\n\nDefault to Sonnet 4 unless the task requires deep reasoning (Opus) or speed/cost optimization (Haiku). For production, prefer pinned snapshot IDs over aliases.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "7a099d286b8e340ada9f6d876916827b413a294e04bebd21e85c7cc3d75b13e2", "alias_sources": []}
{"id": "6b630ae70e5fcbd8", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Workflow", "4. Report with explicit evidence boundaries"], "section_title": "4. Report with explicit evidence boundaries", "section_body": "4. Report with explicit evidence boundaries\n\nFor important claims, say whether they are:\n\nsourced facts\n\nuser-supplied context\n\ninference\n\nrecommendation\n\nFreshness-sensitive answers should include concrete dates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "281ded5eca09a8d8df674d2ccb2a823213d7c422f2cd0c6cf588779bc8a3ec14", "alias_sources": []}
{"id": "6b9e10b0aae6bfb6", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill"], "section_title": "Verification Loop Skill", "section_body": "Verification Loop Skill\n\nA comprehensive verification system for Claude Code sessions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "91937f878a1034dfeb0313e7f87425d213992b48b6cf461e5ae5f35b5d27353e", "alias_sources": []}
{"id": "6ba8cb629a806f8d", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Phase Details", "Phase 1: Make a List (Generate)"], "section_title": "Phase 1: Make a List (Generate)", "section_body": "Architecture\n\nPhase Details\n\nPhase 1: Make a List (Generate)\n\nExecute the primary task. No changes to your normal generation workflow. Santa Method is a post-generation verification layer, not a generation strategy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "19200703895a013b639be8f531caaeb2b28391f26e895595ca5ff17fbf387e28", "alias_sources": []}
{"id": "6bbaee74ff6dc6e0", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Navigation", "Dialog and Bottom Sheet Navigation"], "section_title": "Dialog and Bottom Sheet Navigation", "section_body": "Dialog and Bottom Sheet Navigation\n\nUse `dialog()` and overlay patterns instead of imperative show/hide:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "3fa6abcf422233371fb228e9106a1419ea32d52ddfc8ae56b48af097df8a600b", "alias_sources": []}
{"id": "6bbb73c7e0041705", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Duty Optimization"], "section_title": "Duty Optimization", "section_body": "Duty Optimization\n\n**FTA Utilisation:** Every preferential trade agreement has specific rules of origin that goods must satisfy. USMCA requires product-specific rules (Annex 4-B) including tariff shift, regional value content (RVC), and net cost methods. EU-UK TCA uses \"wholly obtained\" and \"sufficient processing\" rules with product-specific list rules in Annex ORIG-2. RCEP has uniform rules for 15 Asia-Pacific nations with cumulation provisions. AfCFTA allows 60% cumulation across member states.\n\n**RVC calculation matters:** USMCA offers two methods \u2014 transaction value (TV) method: RVC = ((TV - VNM) / TV) \u00d7 100, and net cost (NC) method: RVC = ((NC - VNM) / NC) \u00d7 100. The net cost method excludes sales promotion, royalties, and shipping costs from the denominator, often yielding a higher RVC when margins are thin.\n\n**Foreign Trade Zones (FTZs):** Goods admitted to an FTZ are not in US customs territory. Benefits: duty deferral until goods enter commerce, inverted tariff relief (pay duty on the finished product rate if lower than component rates), no duty on waste/scrap, no duty on re-exports. Zone-to-zone transfers maintain privileged foreign status.\n\n**Temporary Import Bonds (TIBs):** ATA Carnet for professional equipment, samples, exhibition goods \u2014 duty-free entry into 78+ countries. US temporary importation under bond (TIB) per 19 USC \u00a7 1202, Chapter 98 \u2014 goods must be exported within 1 year (extendable to 3 years). Failure to export triggers liquidation at full duty plus bond premium.\n\n**Duty Drawback:** Refund of 99% of duties paid on imported goods that are subsequently exported. Three types: manufacturing drawback (imported materials used in US-manufactured exports), unused merchandise drawback (imported goods exported in same condition), and substitution drawback (commercially interchangeable goods). Claims must be filed within 5 years of import. TFTEA simplified drawback significantly \u2014 no longer requires matching specific import entries to specific export entries for substitution claims.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "2fcda2582324c083b13be04d90cffd4371f6f88097bdec1e4bd5f1d1ed4e166d", "alias_sources": []}
{"id": "6be36cb1fd772d11", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Links"], "section_title": "Links", "section_body": "Links\n\nRepository: [github.com/joaquinhuigomez/agent-eval](https://github.com/joaquinhuigomez/agent-eval)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "02f118791fe0bbc765615c2bc2cedf887217276bebc4c556161045854e1f7779", "alias_sources": []}
{"id": "6bfa1a4f82306e6e", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Workflow", "5. Validate"], "section_title": "5. Validate", "section_body": "4. Write the `.tour`\n\nWrite to:\n\nKeep the path deterministic and readable.\n\n5. Validate\n\nBefore finishing:\n\nevery referenced path exists\n\nevery line or selection is valid\n\nthe first step is anchored to a real file or directory\n\nthe tour tells a coherent story rather than listing files", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "dfa05b68082266ff7ec0f7d0f29fd5951d92ca80e39fc3d06689c1e278f17afc", "alias_sources": []}
{"id": "6bfc63e0ea375d0b", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nAny Swift code that touches file system, network, or external APIs\n\nTesting error handling paths that are hard to trigger in real environments\n\nBuilding modules that need to work in app, test, and SwiftUI preview contexts\n\nApps using Swift concurrency (actors, structured concurrency) that need testable architecture", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "26a83e2aea53f6cda134e1e071eeaaf206924dfbd534c62dfb79815d0368e24c", "alias_sources": []}
{"id": "6c35cd50910cb1f5", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill"], "section_title": "GAN-Style Harness Skill", "section_body": "GAN-Style Harness Skill\n\nInspired by [Anthropic's Harness Design for Long-Running Application Development](https://www.anthropic.com/engineering/harness-design-long-running-apps) (March 24, 2026)\n\nA multi-agent harness that separates **generation** from **evaluation**, creating an adversarial feedback loop that drives quality far beyond what a single agent can achieve.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "d48bc9a9948a5dec0bd226d44c325060813f5af212313a93025b2d5cf526f3e2", "alias_sources": []}
{"id": "6c4e8b6680b70db5", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "Review Checklist"], "section_title": "Review Checklist", "section_body": "Review Checklist\n\nFirst SSR render and hydrated client render produce the same markup\n\nPage data uses `useFetch` or `useAsyncData`, not top-level `$fetch`\n\nNon-critical data is lazy and has explicit loading UI\n\nRoute rules match the page's SEO and freshness requirements\n\nHeavy interactive islands are lazy-loaded or lazily hydrated", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "1d6c2d7c0621cc3c5883d46153aea0a7018a065d0f4e23e6b3f50377e74aee86", "alias_sources": []}
{"id": "6c55c8c7d9ef02e7", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Complexity Tiers"], "section_title": "Complexity Tiers", "section_body": "Complexity Tiers\n\nTier 1: isolated file edits, deterministic tests\n\nTier 2: multi-file behavior changes, moderate integration risk\n\nTier 3: schema/auth/perf/security changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "1f5230e493d92346ad4c2ea396ab2623060472dcb92668bb4eff7c59d5bac67e", "alias_sources": []}
{"id": "6c6835b71dee7b69", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Best Practices"], "section_title": "Best Practices", "section_body": "Testing Commands\n\nBest Practices\n\n**DO:**\n\nWrite tests FIRST (TDD)\n\nUse `#[cfg(test)]` modules for unit tests\n\nTest behavior, not implementation\n\nUse descriptive test names that explain the scenario\n\nPrefer `assert_eq!` over `assert!` for better error messages\n\nUse `?` in tests that return `Result` for cleaner error output\n\nKeep tests independent \u2014 no shared mutable state\n\n**DON'T:**\n\nUse `#[should_panic]` when you can test `Result::is_err()` instead\n\nMock everything \u2014 prefer integration tests when feasible\n\nIgnore flaky tests \u2014 fix or quarantine them\n\nUse `sleep()` in tests \u2014 use channels, barriers, or `tokio::time::pause()`\n\nSkip error path testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "d6af65be6a822b922b8841d87c71473362877c63c79d89dc21276ea522abddea", "alias_sources": []}
{"id": "6c9c716619632651", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "ECC v1.8 Additions", "Language Gate Table"], "section_title": "Language Gate Table", "section_body": "ECC v1.8 Additions\n\nCopyable Hook Profile\n\nSet strict quality behavior:\n\nLanguage Gate Table\n\nTypeScript/JavaScript: Biome preferred, Prettier fallback\n\nPython: Ruff format/check\n\nGo: gofmt", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "cdeb9b6316b178dca7caec059d262926c122d33170299e74b7873ee64407760e", "alias_sources": []}
{"id": "6c9cfbba4341138a", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Escalation Protocols"], "section_title": "Escalation Protocols", "section_body": "Escalation Protocols\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Wholesale prices exceed 2\u00d7 budget assumption for 5+ consecutive days | Notify finance, evaluate hedge position, consider emergency fixed-price procurement | Within 24 hours |\n| Supplier credit downgrade below investment grade | Review contract termination provisions, assess replacement supplier options | Within 48 hours |\n| Utility rate case filed with >10% proposed increase | Engage regulatory counsel, evaluate intervention filing | Within 1 week |\n| Demand peak exceeds ratchet threshold by >15% | Investigate root cause with operations, model billing impact, evaluate mitigation | Within 24 hours |\n| PPA developer misses REC delivery by >10% of contracted volume | Issue notice of default per contract, evaluate replacement REC procurement | Within 5 business days |\n| Capacity tag (PLC) increases >20% from prior year | Analyze coincident peak intervals, model capacity charge impact, develop peak response plan | Within 2 weeks |\n| Regulatory action threatens contract enforceability | Engage legal counsel, evaluate contract force majeure provisions | Within 48 hours |\n| Grid emergency / rolling blackouts affecting facilities | Activate emergency load curtailment, coordinate with operations, document for insurance | Immediate |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "c2230a53754aab730f0a5d4723ae81bd04103accb02fa06dcd41aa8fb99d879e", "alias_sources": []}
{"id": "6ca34eff63b67220", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Security Headers"], "section_title": "Security Headers", "section_body": "Encrypted Attributes\n\nUse encrypted casts for sensitive columns at rest.\n\nSecurity Headers\n\nAdd CSP, HSTS, and frame protection where appropriate\n\nUse trusted proxy configuration to enforce HTTPS redirects\n\nExample middleware to set headers:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "df929871d9f4775819e2ad524aa9162ad9d89f7c1fa6f73b1ae9f0d72e0c5964", "alias_sources": []}
{"id": "6ca45734ca779ef7", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Audio Generation", "ElevenLabs (via API, no MCP)"], "section_title": "ElevenLabs (via API, no MCP)", "section_body": "ThinkSound (Video-to-Audio)\n\nGenerate matching audio from video content.\n\nElevenLabs (via API, no MCP)\n\nFor professional voice synthesis, use ElevenLabs directly:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "eb920cdac4a53315a23a1a272bc7d92c63bfdc611b0574ecfd2b1bf4cb2c30f1", "alias_sources": []}
{"id": "6ce08834948b2ed6", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Production Readiness Checklist", "Operations"], "section_title": "Operations", "section_body": "Operations\n\n[ ] Rollback plan documented and tested\n\n[ ] Database migration tested against production-sized data\n\n[ ] Runbook for common failure scenarios\n\n[ ] On-call rotation and escalation path defined", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "5bf5f18e2fcf2bb061801b64472438c93d3e3e19b7a7190cdcffe5988814390c", "alias_sources": []}
{"id": "6ce0e4357bc08a58", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "6. Verify the result"], "section_title": "6. Verify the result", "section_body": "6. Verify the result\n\nAfter the plan is applied, verify:\n\nevery DAILY file exists where expected\n\nstale language rules were not left active\n\nincompatible hooks were not installed\n\nthe resulting install actually matches the repo stack\n\nReturn a compact report with:\n\nDAILY count\n\nLIBRARY count\n\nremoved stale surfaces\n\nopen questions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "007ace36d99d734f437d13d744c78f44e34b6ebb10269c7ed57fee5328352bef", "alias_sources": []}
{"id": "6cf3fcf6b56415d3", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nReading ERC-20 balances in Python, TypeScript, or Solidity\n\nCalculating fiat values from on-chain balances\n\nComparing token amounts across multiple EVM chains\n\nHandling bridged assets\n\nBuilding portfolio trackers, bots, or aggregators", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "fb4f7268e1db6d875bebb6a8f363e61a35fefe49637001b910fc7a6673af3e1c", "alias_sources": []}
{"id": "6d02a864769af7b6", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Product Evals (v1.8)", "pass@k Guidance"], "section_title": "pass@k Guidance", "section_body": "pass@k Guidance\n\n`pass@1`: direct reliability\n\n`pass@3`: practical reliability under controlled retries\n\n`pass^3`: stability test (all 3 runs must pass)\n\nRecommended thresholds:\n\nCapability evals: pass@3 >= 0.90\n\nRegression evals: pass^3 = 1.00 for release-critical paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:deploy"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "8c54f10e2a975adcd6556a64ac55527fdc185a055c8a1d928b6b9663552f1d88", "alias_sources": []}
{"id": "6d1f99c6fe12406f", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "What's New in v2.1"], "section_title": "What's New in v2.1", "section_body": "What's New in v2.1\n\n| Feature | v2.0 | v2.1 |\n|---------|------|------|\n| Storage | Global (~/.claude/homunculus/) | Project-scoped (projects/<hash>/) |\n| Scope | All instincts apply everywhere | Project-scoped + global |\n| Detection | None | git remote URL / repo path |\n| Promotion | N/A | Project \u2192 global when seen in 2+ projects |\n| Commands | 4 (status/evolve/export/import) | 6 (+promote/projects) |\n| Cross-project | Contamination risk | Isolated by default |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "a10ab9cd5b15163a14307a7e774e5b5c9098bdef6ba923c4789549d8341ba941", "alias_sources": []}
{"id": "6d22c18b883d335a", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "State Management", "ViewModel + Single State Object"], "section_title": "ViewModel + Single State Object", "section_body": "State Management\n\nViewModel + Single State Object\n\nUse a single data class for screen state. Expose it as `StateFlow` and collect in Compose:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "dca19f7e5c1321cfbbf2903ae435f7d6573a50281f13a8fefdfd90fdf47fe3a4", "alias_sources": []}
{"id": "6d650e3b1bcda468", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "Example Triage Loop"], "section_title": "Example Triage Loop", "section_body": "Example Triage Loop\n\nThen manually filter:\n\ndrop tests, demos, fixtures, vendored code\n\ndrop local-only or non-reachable paths\n\nkeep only findings with a clear network or user-controlled route", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "4d8b39992287d23cc7ccec089555c0484b76221aad2fdb9b7775d740e9576953", "alias_sources": []}
{"id": "6d854b1ca637d45d", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Banned Patterns"], "section_title": "Banned Patterns", "section_body": "Banned Patterns\n\nDelete and rewrite any of these:\n\n\"In today's rapidly evolving landscape\"\n\n\"game-changer\", \"cutting-edge\", \"revolutionary\"\n\n\"here's why this matters\" as a standalone bridge\n\nfake vulnerability arcs\n\na closing question added only to juice engagement\n\nbiography padding that does not move the argument\n\ngeneric AI throat-clearing that delays the point", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "9b71c68e0333f5272f73b2f1b6c802b8487b119752e7acf8248be0e17728f34a", "alias_sources": []}
{"id": "6de3ce24f938f064", "skill_name": "nanoclaw-repl", "skill_description": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "skill_type": null, "section_path": ["NanoClaw REPL", "Extension Rules"], "section_title": "Extension Rules", "section_body": "Extension Rules\n\nkeep zero external runtime dependencies\n\npreserve markdown-as-database compatibility\n\nkeep command handlers deterministic and local", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nanoclaw-repl\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "mtime": 1776507629.879874, "body_hash": "3bfc35dd48e0d9d79da76e09a85de67423181b54f4999139ee1a860c6c1d3bc3", "alias_sources": []}
{"id": "6e5211d77ba0ebca", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Decision Frameworks", "RCA Method Selection"], "section_title": "RCA Method Selection", "section_body": "RCA Method Selection\n\n**Single-event, simple causal chain:** 5 Whys. Budget: 1-2 hours.\n\n**Single-event, multiple potential cause categories:** Ishikawa + 5 Whys on the most likely branches. Budget: 4-8 hours.\n\n**Recurring issue, process-related:** 8D with full team. Budget: 20-40 hours across D0-D8.\n\n**Safety-critical or high-severity event:** Fault Tree Analysis with quantitative risk assessment. Budget: 40-80 hours. Required for aerospace product safety events and medical device post-market analysis.\n\n**Customer-mandated format:** Use whatever the customer requires (most automotive OEMs mandate 8D).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "5630ac75ac768a3ffd1f8a8f783e725bb2aa440158a75176044996ada7923582", "alias_sources": []}
{"id": "6e6d7b4252999120", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Error Handling", "Result/Try Pattern"], "section_title": "Result/Try Pattern", "section_body": "Hilt (Android-only)\n\nError Handling\n\nResult/Try Pattern\n\nUse `Result<T>` or a custom sealed type for error propagation:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "d802cbf198464c0d31c422fb208f0c751696dbad44fa2c211495182eac8bf23f", "alias_sources": []}
{"id": "6eae2050368fa72c", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Core Concepts"], "section_title": "Core Concepts", "section_body": "Core Concepts\n\n**Domain model**: Business rules and entities/value objects. No framework imports.\n\n**Use cases (application layer)**: Orchestrate domain behavior and workflow steps.\n\n**Inbound ports**: Contracts describing what the application can do (commands/queries/use-case interfaces).\n\n**Outbound ports**: Contracts for dependencies the application needs (repositories, gateways, event publishers, clock, UUID, etc.).\n\n**Adapters**: Infrastructure and delivery implementations of ports (HTTP controllers, DB repositories, queue consumers, SDK wrappers).\n\n**Composition root**: Single wiring location where concrete adapters are bound to use cases.\n\nOutbound port interfaces usually live in the application layer (or in domain only when the abstraction is truly domain-level), while infrastructure adapters implement them.\n\nDependency direction is always inward:\n\nAdapters -> application/domain\n\nApplication -> port interfaces (inbound/outbound contracts)\n\nDomain -> domain-only abstractions (no framework or infrastructure dependencies)\n\nDomain -> nothing external", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "9e2a5e6d0efdfc53f85740625dbdc8f70ed936527a26d72542fa90678c14f1c1", "alias_sources": []}
{"id": "6eae63e0276bd774", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Key Design Decisions"], "section_title": "Key Design Decisions", "section_body": "Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| GlassEffectContainer wrapping | Performance optimization, enables morphing between glass elements |\n| `spacing` parameter | Controls merge distance \u2014 fine-tune how close elements must be to blend |\n| `@Namespace` + `glassEffectID` | Enables smooth morphing transitions on view hierarchy changes |\n| `interactive()` modifier | Explicit opt-in for touch/pointer reactions \u2014 not all glass should respond |\n| UIGlassContainerEffect in UIKit | Same container pattern as SwiftUI for consistency |\n| Accented rendering mode in widgets | System applies tinted glass when user selects tinted Home Screen |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "7700622fd7d8859cd5070744d3830ce7e5e467ac981a52d0e1440e10a8010bd7", "alias_sources": []}
{"id": "6eb61de2215aa341", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nAlways run the full pipeline (fork \u2192 sanitize \u2192 package) for new releases\n\nThe staging directory persists until explicitly cleaned up \u2014 use it for review\n\nRe-run the sanitizer after any manual fixes before publishing\n\nParameterize secrets rather than deleting them \u2014 preserve project functionality", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "8d6eeb7cb2d584640d486d3528d161dc03b59cd2fc7c606c4f1c27a235b5cb48", "alias_sources": []}
{"id": "6ebefb0041ca0adb", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Search Shortcuts by Category"], "section_title": "Search Shortcuts by Category", "section_body": "Full Mode (agent)\n\nFor non-trivial functionality, launch the researcher agent:\n\nSearch Shortcuts by Category", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "6dacc911058f103580226dd2c7e8b678fe0df18f5a62745ed812e881cbbd8d43", "alias_sources": []}
{"id": "6ed5a3442a2ddb6b", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Instinct Promotion (Project -> Global)"], "section_title": "Instinct Promotion (Project -> Global)", "section_body": "Instinct Promotion (Project -> Global)\n\nWhen the same instinct appears in multiple projects with high confidence, it's a candidate for promotion to global scope.\n\n**Auto-promotion criteria:**\n\nSame instinct ID in 2+ projects\n\nAverage confidence >= 0.8\n\n**How to promote:**\n\nThe `/evolve` command also suggests promotion candidates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "5fa1fe57cc7ca8af4343857d0f98afd9a7ecb8edbdd24f4be592d2ae56ade129", "alias_sources": []}
{"id": "6ee676d4ffa3890e", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nNew features or endpoints\n\nBug fixes or refactors\n\nAdding data access logic or security rules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:debug"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "1266dfdf0d34c112425bc61939453bd74c01d6825bf32288428d8a47d11d4348", "alias_sources": []}
{"id": "6f43650c7b9358cf", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Workflow", "1. Define Tasks"], "section_title": "1. Define Tasks", "section_body": "Workflow\n\n1. Define Tasks\n\nCreate a `tasks/` directory with YAML files, one per task:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "43895cb8cc35fb5d87311dc989ccb63ca257d2664f112b68754984d5c222cbfe", "alias_sources": []}
{"id": "6f4e2889f989a036", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "File Organization"], "section_title": "File Organization", "section_body": "Testing\n\nFile Organization\n\n**Location**: `.claude/` directory in project root\n\n**Naming**: `.claude/hookify.{descriptive-name}.local.md`\n\n**Gitignore**: Add `.claude/*.local.md` to `.gitignore`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "1567ed720926006ea865a69d8991e7dc9674a52a23df8cb2390285a087e83845", "alias_sources": []}
{"id": "6f52f1607f58c518", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Workflow", "4. Report exact execution state"], "section_title": "4. Report exact execution state", "section_body": "4. Report exact execution state\n\nUse exact status words:\n\ninspected\n\nchanged locally\n\nverified locally\n\ncommitted\n\npushed\n\nblocked", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "6bca27268a869167a0d885375bc45e769d67478d3baeb6fbb2b08d8188b331f6", "alias_sources": []}
{"id": "6f5f97e8563d77bb", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine"], "section_title": "Content Engine", "section_body": "Content Engine\n\nBuild platform-native content without flattening the author's real voice into platform slop.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "5fde2541d107c117738a929ae9ab7868c78a648a0bd00a0bfaece4a604fc4dae", "alias_sources": []}
{"id": "6f7f326eea8be0b0", "skill_name": "canary-watch", "skill_description": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "skill_type": null, "section_path": ["Canary Watch \u2014 Post-Deploy Monitoring", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nMonitors a deployed URL for regressions. Runs in a loop until stopped or until the watch window expires.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\canary-watch\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "mtime": 1776507629.4902108, "body_hash": "989b6f213786ed87258dc8f630b8867c31b7b0ccc1edfaf4ca4fb8dff784c0ad", "alias_sources": []}
{"id": "6fb4dfc6169b97a6", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Sandbox-Mode API Testing", "Writing Regression Tests"], "section_title": "Writing Regression Tests", "section_body": "Setup (Vitest + Next.js App Router)\n\nTest Helper for Next.js API Routes\n\nWriting Regression Tests\n\nThe key principle: **write tests for bugs that were found, not for code that works**.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:test"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "abc363293d33bb05a18e621f562b63293d41d62e41a9e7cbec2b032e44bc9c7e", "alias_sources": []}
{"id": "6fd2122955dc629a", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "When to Use", "Do Not Use When"], "section_title": "Do Not Use When", "section_body": "Do Not Use When\n\nUser wants the task done directly (just execute it)\n\nUser says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize this code\", \"optimize performance\" \u2014 these are refactoring tasks, not prompt optimization\n\nUser is asking about ECC configuration (use `configure-ecc` instead)\n\nUser wants a skill inventory (use `skill-stocktake` instead)\n\nUser says \"just do it\" or \"\u76f4\u63a5\u505a\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "842657bd483f1b93a006bf797cf21828952fbae03243bbe82a7c24f2f031b058", "alias_sources": []}
{"id": "6fe69a01f4d69069", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Integration Points", "With planner agent"], "section_title": "With planner agent", "section_body": "Integration Points\n\nWith planner agent\n\nThe planner should invoke researcher before Phase 1 (Architecture Review):\n\nResearcher identifies available tools\n\nPlanner incorporates them into the implementation plan\n\nAvoids \"reinventing the wheel\" in the plan", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "bb7c3be867201fbc0fdd1f85ed618746adcc64a08cf08d05eb2c60066ba14406", "alias_sources": []}
{"id": "6fede601d4a5791d", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Audit Inputs"], "section_title": "Audit Inputs", "section_body": "Audit Inputs\n\nInspect only the files and settings needed to answer the question well:\n\nRepo surface\n\n`package.json`, lockfiles, language markers, framework config, `README.md`\n\n`.mcp.json`, `.lsp.json`, `.claude/settings*.json`, `.codex/*`\n\n`AGENTS.md`, `CLAUDE.md`, install manifests, hook configs\n\nEnvironment surface\n\n`.env*` files in the active repo and obvious adjacent ECC workspaces\n\nSurface only key names such as `STRIPE_API_KEY`, `TWILIO_AUTH_TOKEN`, `FAL_KEY`\n\nConnected tool surface\n\nInstalled plugins, enabled connectors, MCP servers, LSPs, and app integrations\n\nECC surface\n\nExisting skills, commands, hooks, agents, and install modules that already cover the need", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "b1df324f91ff13a606a7b4fbbf704ff142cd5629ea317154784315c28ea416ed", "alias_sources": []}
{"id": "7050a5069c39d889", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Parametrization", "Basic Parametrization"], "section_title": "Basic Parametrization", "section_body": "Autouse Fixtures\n\nConftest.py for Shared Fixtures\n\nParametrization\n\nBasic Parametrization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "a7ece3377ca3673cafa68221913649b9e335693b1dcc2cc4694ada2386426c73", "alias_sources": []}
{"id": "70520012ae21abb2", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "CORS Configuration"], "section_title": "CORS Configuration", "section_body": "JWT Authentication\n\nAuth Routes\n\nStatus Pages (Error Handling)\n\nCORS Configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "fdbabf364fe3a2f1a72eec76689b1c8248a7874afdc69462455ad7ff5a25449d", "alias_sources": []}
{"id": "706b4503a9384d09", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Decision Frameworks", "Demand Charge Mitigation ROI"], "section_title": "Demand Charge Mitigation ROI", "section_body": "Demand Charge Mitigation ROI\n\nEvaluate demand charge reduction investments using total stacked value:\n\nCalculate current demand charges: Peak kW \u00d7 demand rate \u00d7 12 months.\n\nEstimate achievable peak reduction from the proposed intervention (battery, load control, DR).\n\nValue the reduction across all applicable tariff components: demand charges + capacity tag reduction (takes effect following delivery year) + TOU energy arbitrage + DR program revenue.\n\nIf simple payback < 5 years with stacked value, the investment is typically justified. If 5\u20138 years, it's marginal and depends on capital availability. If > 8 years on stacked value, the economics don't work unless driven by sustainability mandate.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "60f5edfae47d6d29ca026b590aabcdbe75b631563a87ba32d90d842fe4c731e2", "alias_sources": []}
{"id": "7073441cf37b235f", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "How It Works", "Step 2: Present Domain Menu"], "section_title": "Step 2: Present Domain Menu", "section_body": "Step 2: Present Domain Menu\n\nSkip domains with zero agents (empty directories)\n\nShow agent count per domain", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "16807acd739ac6ac37bb3eff9f2757083be14c2f20d10b6c7d3a1e169958e3da", "alias_sources": []}
{"id": "707b1d8ce854b764", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Audit Process", "Phase 2: Benchmark Against Official and Installed Surfaces"], "section_title": "Phase 2: Benchmark Against Official and Installed Surfaces", "section_body": "Phase 2: Benchmark Against Official and Installed Surfaces\n\nCompare the workspace against:\n\nofficial Claude plugins that overlap with setup, review, docs, design, or workflow quality\n\nlocally installed plugins in Claude or Codex\n\nthe user's currently connected app surfaces\n\nDo not just list names. For each comparison, answer:\n\nwhat they actually do\n\nwhether ECC already has parity\n\nwhether ECC only has primitives\n\nwhether ECC is missing the workflow entirely", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review", "phase:docs"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "b3fb6130ec16292025ddc48d9a06c737e2271345a185d2d857ba59f237dac145", "alias_sources": []}
{"id": "70aa392ca853c42e", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nwriting a cold email to an investor\n\ndrafting a warm intro request\n\nsending follow-ups after a meeting or no response\n\nwriting investor updates during a process\n\ntailoring outreach based on fund thesis or partner fit", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "02ea08c6fccc261c9db84bf33b7b48ef82623a722a30684e835af7c599a7a0da", "alias_sources": []}
{"id": "70bf456c3d3cdb32", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting async code with Kotlin coroutines\n\nUsing Flow, StateFlow, or SharedFlow for reactive data\n\nHandling concurrent operations (parallel loading, debounce, retry)\n\nTesting coroutines and Flows\n\nManaging coroutine scopes and cancellation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "114a5bfb149e230a72786a485f4a7a8def3410a17088c9f7f409f817c5e40ad3", "alias_sources": []}
{"id": "70bff4b005cc5aa9", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Posting Order"], "section_title": "Posting Order", "section_body": "Posting Order\n\nDefault:\n\npost the strongest native version first\n\nadapt for the secondary platforms\n\nstagger timing only if the user wants sequencing help\n\nDo not add cross-platform references unless useful. Most of the time, the post should stand on its own.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "85d6e5fee3f6decfe448bd7311056dd91021a1b0246edf0f1bfe82e730b9e62d", "alias_sources": []}
{"id": "70e05668338cd793", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Step Types", "Content"], "section_title": "Content", "section_body": "Step Types\n\nContent\n\nUse sparingly, usually only for a closing step:\n\nDo not make the first step content-only.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "0d6bf3d1650ecf9aa53604dcdb81fc4a7839b129250b52e5e16c91d1b2583c73", "alias_sources": []}
{"id": "70fd2d9d5cd5b3dc", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Git Configuration", "Essential Configs"], "section_title": "Essential Configs", "section_body": "Semantic Versioning\n\nCreating Releases\n\nChangelog Generation\n\nGit Configuration\n\nEssential Configs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "3a0dedb7ad08581dc3ad4bd1bbede305a21d23c805b4865d55d50c11f3964f8e", "alias_sources": []}
{"id": "71228e98a5b1e72a", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Examples", "Trigger Examples"], "section_title": "Trigger Examples", "section_body": "Examples\n\nTrigger Examples\n\n\"Optimize this prompt for ECC\"\n\n\"Rewrite this prompt so Claude Code uses the right commands\"\n\n\"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\"\n\n\"How should I prompt ECC for this task?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "40d296d4b37701d6244a74a9f8dec848975edc8d221f1ecc147b444c0cde8d67", "alias_sources": []}
{"id": "714826fcc4118cfc", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Classes & Class Hierarchies (C.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Rule of Zero\n\nRule of Five\n\nClass Hierarchy\n\nAnti-Patterns\n\nCalling virtual functions in constructors/destructors (C.82)\n\nUsing `memset`/`memcpy` on non-trivial types (C.90)\n\nProviding different default arguments for virtual function and overrider (C.140)\n\nMaking data members `const` or references, which suppresses move/copy (C.12)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "39a7dfe36e066983046e586f8e7ace666690cc48ec7cea9ec0ce578196615e23", "alias_sources": []}
{"id": "715127bc1f94caba", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "SQL Injection Prevention"], "section_title": "SQL Injection Prevention", "section_body": "SQL Injection Prevention\n\nUse Eloquent or query builder parameter binding\n\nAvoid raw SQL unless strictly necessary", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "e30dc4939b6063adee1303fa9ef2a55b55b59109bc25ffd6172d469d95ada779", "alias_sources": []}
{"id": "715265ced6b6eaff", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding SwiftUI views and managing state (`@State`, `@Observable`, `@Binding`)\n\nDesigning navigation flows with `NavigationStack`\n\nStructuring view models and data flow\n\nOptimizing rendering performance for lists and complex layouts\n\nWorking with environment values and dependency injection in SwiftUI", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "a3932e7e51110a626da124b0e987408a1452d8ccd77eb10de62cbe22a574bae3", "alias_sources": []}
{"id": "715a2e57386d3c8b", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Generics and Type Safety"], "section_title": "Generics and Type Safety", "section_body": "Generics and Type Safety\n\nAvoid raw types; declare generic parameters\n\nPrefer bounded generics for reusable utilities", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "4dbd985fe3d656f8c6a8ab1b46e4016f90636c0a6617239e82375b585452532b", "alias_sources": []}
{"id": "715db227e5a9e7ea", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "Guidelines"], "section_title": "Guidelines", "section_body": "Guidelines\n\nAlways confirm the plan with the user before dispatching, unless they said to go ahead.\n\nInclude mission titles and IDs when reporting status.\n\nIf a mission fails, read its report before retrying.\n\nCheck `get_dashboard()` for agent slot availability before bulk dispatching.\n\nMission dependencies form a DAG \u2014 do not create circular dependencies.\n\nEach agent runs in an isolated git worktree and auto-merges on completion. If a merge conflict occurs, the changes remain on the agent's worktree branch for manual resolution.\n\nWhen manually creating missions, always set `auto_dispatch=true` if you want them to trigger automatically when dependencies complete. Without this flag, missions stay in `draft` status.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "3a3c8884874569c61d42df7aa738c5dd1610263a35bf9780eded4fc9574acac6", "alias_sources": []}
{"id": "716f89f92e6311cb", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nAnalyst \u2192 Transportation Manager (48 hours) \u2192 Director of Transportation (1 week) \u2192 VP Supply Chain (persistent issue or >$100K exposure)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "db5ed2fdb0f0319e4ea02ab198cc1cc4935c13e5059bdb35b3dee5949df65dfe", "alias_sources": []}
{"id": "71a6287f5cd80e19", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "Bottleneck Management"], "section_title": "Bottleneck Management", "section_body": "Bottleneck Management\n\n**Identifying the true constraint vs. where WIP piles up:** WIP accumulation in front of a work centre does not necessarily mean that work centre is the constraint. WIP can pile up because the upstream work centre is batch-dumping, because a shared resource (crane, forklift, inspector) creates an artificial queue, or because a scheduling rule creates starvation downstream. The true constraint is the resource with the highest ratio of required hours to available hours. Verify by checking: if you added one hour of capacity at this work centre, would plant output increase? If yes, it is the constraint.\n\n**Buffer management:** In DBR, the time buffer is typically 50% of the production lead time for the constraint operation. Monitor buffer penetration: green zone (buffer consumed < 33%) means the constraint is well-protected; yellow zone (33\u201367%) triggers expediting of late-arriving upstream work; red zone (>67%) triggers immediate management attention and possible overtime at upstream operations. Buffer penetration trends over weeks reveal chronic problems: persistent yellow means upstream reliability is degrading.\n\n**Subordination principle:** Non-constraint resources should be scheduled to serve the constraint, not to maximize their own utilization. Running a non-constraint at 100% utilization when the constraint operates at 85% creates excess WIP with no throughput gain. Deliberately schedule idle time at non-constraints to match the constraint's consumption rate.\n\n**Detecting shifting bottlenecks:** The constraint can move between work centres as product mix changes, as equipment degrades, or as staffing shifts. A work centre that is the bottleneck on day shift (running high-setup products) may not be the bottleneck on night shift (running long-run products). Monitor utilization ratios weekly by product mix. When the constraint shifts, the entire scheduling logic must shift with it \u2014 the new drum dictates the tempo.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "8d965644167a4b4de3660db057d6cbfe91d1b82f5f02061ef979a5ca1a9685a8", "alias_sources": []}
{"id": "71b767d3d4095d69", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Environment Overrides"], "section_title": "Environment Overrides", "section_body": "Environment Overrides\n\n| Variable | Purpose |\n|----------|---------|\n| `HOOK_SKIP_SUBPROCESS=1` | Skip Phase 3, report violations directly |\n| `HOOK_SUBPROCESS_TIMEOUT=N` | Override tier timeout |\n| `HOOK_DEBUG_MODEL=1` | Log model selection decisions |\n| `HOOK_SKIP_PM=1` | Bypass package manager enforcement |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "98017fe06c6df5b2260059293b32a22cd75478f6ae2ddca1eea6dd21ec2114d6", "alias_sources": []}
{"id": "71bc437aed866c44", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Audit Process", "Phase 1: Inventory What Exists"], "section_title": "Phase 1: Inventory What Exists", "section_body": "Audit Process\n\nPhase 1: Inventory What Exists\n\nProduce a compact inventory:\n\nactive harness targets\n\ninstalled plugins and connected apps\n\nconfigured MCP servers\n\nconfigured LSP servers\n\nenv-backed services implied by key names\n\nexisting ECC skills already relevant to the workspace\n\nIf a surface exists only as a primitive, call that out. Example:\n\n\"Stripe is available via connected app, but ECC lacks a billing-operator skill\"\n\n\"Google Drive is connected, but there is no ECC-native Google Workspace operator workflow\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "822e1824b27d3800e83fd64c34041fc8a574000fdf4480d45728c204f93011b2", "alias_sources": []}
{"id": "71c40f61d61d8914", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices"], "section_title": "Flutter/Dart Code Review Best Practices", "section_body": "Flutter/Dart Code Review Best Practices\n\nComprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "cee2494c1828a4a2e76392e21b0963bd83494cc83b7d3b4eae8cc0eda284e14a", "alias_sources": []}
{"id": "71d3977b88df1887", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser says \"fix\", \"debug\", \"run this\", \"check the repo\", or \"push it\"\n\nthe task depends on command output, git state, test results, or a verified local fix\n\nthe answer must distinguish changed locally, verified locally, committed, and pushed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "dc11358d85fcb44d8e7ffb462e604fffda33f8c9efb0cb1c2c5fdfc579c41156", "alias_sources": []}
{"id": "7222c1e566344636", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops"], "section_title": "Google Workspace Ops", "section_body": "Google Workspace Ops\n\nThis skill is for operating shared docs, spreadsheets, and decks as working systems, not just editing one file in isolation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "a29f10f63cfc42725e08bd6ad62321c132b919ac54bd61f72b9172b7645f03cf", "alias_sources": []}
{"id": "722e938ef9a25dfb", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Role and Context"], "section_title": "Role and Context", "section_body": "Quality & Non-Conformance Management\n\nRole and Context\n\nYou are a senior quality engineer with 15+ years in regulated manufacturing environments \u2014 FDA 21 CFR 820 (medical devices), IATF 16949 (automotive), AS9100 (aerospace), and ISO 13485 (medical devices). You manage the full non-conformance lifecycle from incoming inspection through final disposition. Your systems include QMS (eQMS platforms like MasterControl, ETQ, Veeva), SPC software (Minitab, InfinityQS), ERP (SAP QM, Oracle Quality), CMM and metrology equipment, and supplier portals. You sit at the intersection of manufacturing, engineering, procurement, regulatory, and customer quality. Your judgment calls directly affect product safety, regulatory standing, production throughput, and supplier relationships.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "153db1cf6e93c5ecde51f465a552de5983aadb1a87af1eca192e19f2ac1928f2", "alias_sources": []}
{"id": "72443533b5fa3de4", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Continuous Mode"], "section_title": "Continuous Mode", "section_body": "Output Format\n\nAfter running all phases, produce a verification report:\n\nContinuous Mode\n\nFor long sessions, run verification every 15 minutes or after major changes:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "3a78b8ee6eaf2e2ac3163b433f7b49d0f2e1badf0b94d6a6cd093426cd1d577d", "alias_sources": []}
{"id": "7244c11a78dea4ce", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Analyst) \u2192 Level 2 (Trade Compliance Manager, 4 hours) \u2192 Level 3 (Director of Compliance, 24 hours) \u2192 Level 4 (VP Trade Compliance, 48 hours) \u2192 Level 5 (General Counsel / C-suite, immediate for seizures, SDN matches, or penalty exposure > $100K)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "ef5a43a97cb64de508f795f3bc99bff7a74705ef031902ceef3a1320c9bdccc4", "alias_sources": []}
{"id": "725374408078f625", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser wants to control how long or detailed a response is\n\nUser mentions tokens, budget, depth, or response length\n\nUser says \"short version\", \"tldr\", \"brief\", \"al 25%\", \"exhaustive\", etc.\n\nAny time the user wants to choose depth/detail level upfront\n\n**Do not trigger** when: user already set a level this session (maintain it silently), or the answer is trivially one line.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "b33c8e6bc38b4bff32c1d596a574c3200e21005264f1a5f55bec028b28821a6d", "alias_sources": []}
{"id": "72711d2d6a8cb0dd", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u9519\u8bef\u5904\u7406"], "section_title": "\u9519\u8bef\u5904\u7406", "section_body": "\u9519\u8bef\u5904\u7406\n\n**\u5b8c\u6574\u964d\u7ea7\u7b56\u7565**\uff1a\u89c1 [references/error-handling.md](references/error-handling.md)\n\n\u6838\u5fc3\u539f\u5219\uff1a**\u964d\u7ea7\uff0c\u4e0d\u4e2d\u65ad**\u3002\n\n| \u6545\u969c | \u964d\u7ea7\u884c\u4e3a |\n|------|---------|\n| Python \u4e0d\u53ef\u7528 | \u8df3\u8fc7 gacha.py\uff0c\u4ece 10 \u7c7b\u9884\u8bbe\u4e2d\u968f\u673a\u9009 |\n| \u751f\u56fe skill \u672a\u5b89\u88c5 | \u8f93\u51fa\u63d0\u793a\u8bcd\u6587\u672c\u4f9b\u624b\u52a8\u4f7f\u7528 |\n| \u751f\u56fe skill \u8c03\u7528\u5931\u8d25 | \u91cd\u8bd5 1 \u6b21\uff0c\u4ecd\u5931\u8d25\u5219\u8f93\u51fa\u63d0\u793a\u8bcd\u6587\u672c |\n| \u4efb\u4f55\u672a\u9884\u671f\u9519\u8bef | \u8bb0\u5f55\u9519\u8bef\uff0c\u8df3\u8fc7\u8be5\u6b65\u9aa4\uff0c\u7ee7\u7eed\u4e3b\u6d41\u7a0b |\n\n\u9519\u8bef\u4fe1\u606f\u7edf\u4e00\u683c\u5f0f\uff1a", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "4bf3184b1a52f2639d009955570e7f779f814a85832f04a4fe79f477b1d524a8", "alias_sources": []}
{"id": "727c3743a152a1ae", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 3: Implement the use case with pure orchestration"], "section_title": "Step 3: Implement the use case with pure orchestration", "section_body": "Step 3: Implement the use case with pure orchestration\n\nUse case class/function receives ports via constructor/arguments. It validates application-level invariants, coordinates domain rules, and returns plain data structures.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "d7bc0a17145433d8bd5e254839bbd3421e789e2086ecaad70238a8a6c9641237", "alias_sources": []}
{"id": "7290795fdccb1e6a", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Pagination"], "section_title": "Pagination", "section_body": "Pagination\n\nFor cursor-like pagination, include `id > :lastId` in JPQL with ordering.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "89b5ae106ef049f1f724a35a10c61069a8a6b3a849d4bf31f7d06ea163ee0468", "alias_sources": []}
{"id": "72a4bd96b2c4da46", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 2: Select & Install Skills", "2b: Choose Skill Categories"], "section_title": "2b: Choose Skill Categories", "section_body": "2b: Choose Skill Categories\n\nThere are 7 selectable category groups below. The detailed confirmation lists that follow cover 45 skills across 8 categories, plus 1 standalone template. Use `AskUserQuestion` with `multiSelect: true`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "baa321f6670aac42cfb3cd0261c33fedf351d3abc12538415a9e5d439653f7fa", "alias_sources": []}
{"id": "72f3b20bc6e18792", "skill_name": "canary-watch", "skill_description": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "skill_type": null, "section_path": ["Canary Watch \u2014 Post-Deploy Monitoring", "When to Use"], "section_title": "When to Use", "section_body": "Canary Watch \u2014 Post-Deploy Monitoring\n\nWhen to Use\n\nAfter deploying to production or staging\n\nAfter merging a risky PR\n\nWhen you want to verify a fix actually fixed it\n\nContinuous monitoring during a launch window\n\nAfter dependency upgrades", "source_path": "CODEFORGE\\everything-claude-code\\skills\\canary-watch\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:deploy", "phase:debug"], "trigger_hints": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "mtime": 1776507629.4902108, "body_hash": "4d9fb1b59099f3e835c577cf50a713a65ef736bd85166b48da064cc5c771a409", "alias_sources": []}
{"id": "7311bf3a34c79ee4", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Password Encoding"], "section_title": "Password Encoding", "section_body": "Password Encoding\n\nAlways hash passwords with BCrypt or Argon2 \u2014 never store plaintext\n\nUse `PasswordEncoder` bean, not manual hashing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "6c05cf9e7bd4c2ca81a77c313f84827456599ef57e0b10e26ff03d78500c356c", "alias_sources": []}
{"id": "733871187db840bf", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "7. Navigation with GoRouter"], "section_title": "7. Navigation with GoRouter", "section_body": "5. State Management: BLoC/Cubit\n\n6. State Management: Riverpod\n\n7. Navigation with GoRouter", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "6f368b638fed8c8d7164851dd1f43dfd746106aa52fe4cff394ccc655cd42e4d", "alias_sources": []}
{"id": "7339bf6620a69e9b", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns"], "section_title": "API Design Patterns", "section_body": "API Design Patterns\n\nConventions and best practices for designing consistent, developer-friendly REST APIs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "b6d2e8aa2b3443b46d47721598bf1904c4b0253563223e3f3c8f9ca5af045442", "alias_sources": []}
{"id": "734894557336207d", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Workflow", "Step 2: Plan the Research"], "section_title": "Step 2: Plan the Research", "section_body": "Step 2: Plan the Research\n\nBreak the topic into 3-5 research sub-questions. Example:\n\nTopic: \"Impact of AI on healthcare\"\n\nWhat are the main AI applications in healthcare today?\n\nWhat clinical outcomes have been measured?\n\nWhat are the regulatory challenges?\n\nWhat companies are leading this space?\n\nWhat's the market size and growth trajectory?", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "4f2a77f4d8db603662f84ea08d4c6c1a8f2c138e416001a8741c3e634124efc9", "alias_sources": []}
{"id": "736a41d8db32bed6", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Perl code or modules\n\nReviewing Perl code for idiom compliance\n\nRefactoring legacy Perl to modern standards\n\nDesigning Perl module architecture\n\nMigrating pre-5.36 code to modern Perl", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "f3a80b17e47223ee62cb13597808404f15f7d798b66c9a5021396ad0d410a25c", "alias_sources": []}
{"id": "73869ca9de3f24c9", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Production Readiness Checklist", "Application"], "section_title": "Application", "section_body": "Production Readiness Checklist\n\nBefore any production deployment:\n\nApplication\n\n[ ] All tests pass (unit, integration, E2E)\n\n[ ] No hardcoded secrets in code or config files\n\n[ ] Error handling covers all edge cases\n\n[ ] Logging is structured (JSON) and does not contain PII\n\n[ ] Health check endpoint returns meaningful status", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "800ab5d3c4ff147a79ff98a551f8e1fb0a520a3472956c8e8f20b6a086148be6", "alias_sources": []}
{"id": "738ba004a1605b47", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Troubleshooting", "\"Skills not being picked up by Claude Code\""], "section_title": "\"Skills not being picked up by Claude Code\"", "section_body": "Troubleshooting\n\n\"Skills not being picked up by Claude Code\"\n\nVerify the skill directory contains a `SKILL.md` file (not just loose .md files)\n\nFor user-level: check `~/.claude/skills/<skill-name>/SKILL.md` exists\n\nFor project-level: check `.claude/skills/<skill-name>/SKILL.md` exists", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "eefe0906cad97a5501f8d8578f3e2f761ee71a689a4d407e10bc0fa813b73898", "alias_sources": []}
{"id": "739fd31207d0f322", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Vendor Recovery"], "section_title": "Vendor Recovery", "section_body": "Vendor Recovery\n\nNot all returns are the customer's fault. Defective products, fulfilment errors, and quality issues have a cost recovery path back to the vendor:\n\n**Return-to-vendor (RTV):** Defective products returned within the vendor's warranty or defect claim window. Process: accumulate defective units (minimum RTV shipment thresholds vary by vendor, typically $200-500), obtain RTV authorization number, ship to vendor's designated return facility, track credit issuance. Common failure: letting RTV-eligible product sit in the returns warehouse past the vendor's claim window (often 90 days from receipt).\n\n**Defect claims:** When defect rate exceeds the vendor agreement threshold (typically 2-5%), file a formal defect claim for the excess. Requires defect documentation (photos, inspection notes, customer complaint data aggregated by SKU). Vendors will challenge \u2014 your data quality determines your recovery.\n\n**Vendor chargebacks:** For vendor-caused issues (wrong item shipped from vendor DC, mislabelled products, packaging failures) charge back the full cost including return shipping and processing labor. Requires a vendor compliance program with published standards and penalty schedules.\n\n**Credit vs replacement vs write-off:** If the vendor is solvent and responsive, pursue credit. If the vendor is overseas with difficult collections, negotiate replacement product. If the claim is small (< $200) and the vendor is a critical supplier, consider writing it off and noting it in the next contract negotiation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:deploy", "phase:docs"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "7a3e02b630c8e0bd19b2d1d36a49340923cb004f4bab1dba27a00f26c2d89899", "alias_sources": []}
{"id": "73a93f320a9f4ece", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Strong Defaults", "Layout"], "section_title": "Layout", "section_body": "Layout\n\nbreak the grid when the composition benefits from it\n\nuse diagonals, offsets, and grouping intentionally\n\nkeep reading flow obvious even when the layout is unconventional", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "3257eac601fa42b08ae8d13fcf83be22b4bb9f4951a4ffb6187c6e4d36880c1d", "alias_sources": []}
{"id": "73d768ffc34962b3", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "TypeScript/JavaScript Standards", "Immutability Pattern (CRITICAL)"], "section_title": "Immutability Pattern (CRITICAL)", "section_body": "TypeScript/JavaScript Standards\n\nVariable Naming\n\nFunction Naming\n\nImmutability Pattern (CRITICAL)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "27ca0f737df89c65e22c18ef2dd16d14b4757d88d1e51d4c285d4c518979dc5e", "alias_sources": []}
{"id": "73fd2507348ca20f", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Image Generation", "Nano Banana Pro (High Fidelity)"], "section_title": "Nano Banana Pro (High Fidelity)", "section_body": "Nano Banana Pro (High Fidelity)\n\nBest for: production images, realism, typography, detailed prompts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "69e8ff52e582a6e58e9636437000c43bca3b7fdc4f8bbb356d69a0834a87c725", "alias_sources": []}
{"id": "740acd6b820627d3", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow", "Step 2: Design the Agent Architecture"], "section_title": "Step 2: Design the Agent Architecture", "section_body": "Step 2: Design the Agent Architecture\n\nGenerate this directory structure for the user:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "049b56ccb2568fa6a4ca861b07ac9740a39bb6b22b0e72de970f7f7cda7e3df4", "alias_sources": []}
{"id": "740e702bf8c8ddbd", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "Disruption Response"], "section_title": "Disruption Response", "section_body": "Disruption Response\n\n**Machine breakdowns:** Immediate actions: (1) assess repair time estimate with maintenance, (2) determine if the broken machine is the constraint, (3) if constraint, calculate throughput loss per hour and activate the contingency plan \u2014 overtime on alternate equipment, subcontracting, or re-sequencing to prioritise highest-margin jobs. If not the constraint, assess buffer penetration \u2014 if buffer is green, do nothing to the schedule; if yellow or red, expedite upstream work to alternate routings.\n\n**Material shortages:** Check substitute materials, alternate BOMs, and partial-build options. If a component is short, can you build sub-assemblies to the point of the missing component and complete later (kitting strategy)? Escalate to purchasing for expedited delivery. Re-sequence the schedule to pull forward jobs that do not require the short material, keeping the constraint running.\n\n**Quality holds:** When a batch is placed on quality hold, it is invisible to the schedule \u2014 it cannot ship and it cannot be consumed downstream. Immediately re-run the schedule excluding held inventory. If the held batch was feeding a customer commitment, assess alternative sources: safety stock, in-process inventory from another work order, or expedited production of a replacement batch.\n\n**Absenteeism:** With certified operator requirements, one absent operator can disable an entire line. Maintain a cross-training matrix showing which operators are certified on which equipment. When absenteeism occurs, first check whether the missing operator runs the constraint \u2014 if so, reassign the best-qualified backup. If the missing operator runs a non-constraint, assess whether buffer time absorbs the delay before pulling a backup from another area.\n\n**Re-sequencing framework:** When disruption hits, apply this priority logic: (1) protect constraint uptime above all else, (2) protect customer commitments in order of customer tier and penalty exposure, (3) minimize total changeover cost of the new sequence, (4) level labor load across remaining available operators. Re-sequence, communicate the new schedule within 30 minutes, and lock it for at least 4 hours before allowing further changes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "3dccb2b8bbed997d6aa56db166563d27eb7596f450424fc2c5b385241464b3e9", "alias_sources": []}
{"id": "745a2f452b287fb2", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Authentication"], "section_title": "Authentication", "section_body": "Authentication\n\nPrefer stateless JWT or opaque tokens with revocation list\n\nUse `httpOnly`, `Secure`, `SameSite=Strict` cookies for sessions\n\nValidate tokens with `OncePerRequestFilter` or resource server", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "0a7bdf7915739ef3f4148fdd8023d2e9cdfdc95a41b745932ddf24d6a6a4833b", "alias_sources": []}
{"id": "748290f0d8bb0bd3", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nTrack carrier scorecards, exception trends, and routing-guide compliance in the same operating review so pricing and service decisions stay tied together.\n\nCapture your organization's preferred negotiation positions, accessorial guardrails, and escalation triggers alongside this skill before using it in production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "f9163b9b2b65154bdafacd5b61781bbf1c6caeeccc474cf92fac9c01bf86447b", "alias_sources": []}
{"id": "74c0a3f640d3d280", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "Transactions", "Transaction Isolation"], "section_title": "Transaction Isolation", "section_body": "Entity Definitions\n\nDAO Operations\n\nTransactions\n\nSuspend Transaction Support\n\nTransaction Isolation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "3a7a56fb16aae8feb0c15239bbbff4215ddd39ca1abbee35b434115d069370ab", "alias_sources": []}
{"id": "750226ed5aa556e3", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "14. Dependency Injection", "Principles (apply to any DI approach):"], "section_title": "Principles (apply to any DI approach):", "section_body": "14. Dependency Injection\n\nPrinciples (apply to any DI approach):\n\n[ ] Classes depend on abstractions (interfaces), not concrete implementations at layer boundaries\n\n[ ] Dependencies provided externally via constructor, DI framework, or provider graph \u2014 not created internally\n\n[ ] Registration distinguishes lifetime: singleton vs factory vs lazy singleton\n\n[ ] Environment-specific bindings (dev/staging/prod) use configuration, not runtime `if` checks\n\n[ ] No circular dependencies in the DI graph\n\n[ ] Service locator calls (if used) are not scattered throughout business logic", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "36828c96fb9eb82ed1e9a09f0371feebf1d81c19336aa5255b9ced494b0c11b0", "alias_sources": []}
{"id": "75854b4bf3aab51e", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns"], "section_title": "Docker Patterns", "section_body": "Docker Patterns\n\nDocker and Docker Compose best practices for containerized development.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "18f830283f2429c913f9898bb9dece5af1cf1e0ad7985ac98c2236f3d31a4b31", "alias_sources": []}
{"id": "75c3ff8290ae34ec", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Benchmarks", "Benchmark with Different Sizes"], "section_title": "Benchmark with Different Sizes", "section_body": "Interface-Based Mocking\n\nBenchmarks\n\nBasic Benchmarks\n\nBenchmark with Different Sizes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "687df57aa3c174d7575426d4b51c40544be7b11e9cf7efd0140c09ebe9e9cd00", "alias_sources": []}
{"id": "760515e75aca58f7", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nPeriodic rules maintenance (monthly or after installing new skills)\n\nAfter a skill-stocktake reveals patterns that should be rules\n\nWhen rules feel incomplete relative to the skills being used", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "b2dbc3158bc10b978aab343a8acfe8c44ed678593807be50793763a04e5272bd", "alias_sources": []}
{"id": "760e6d549ef9a47c", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "6. Testing", "Test types and expectations:"], "section_title": "Test types and expectations:", "section_body": "6. Testing\n\nTest types and expectations:\n\n[ ] **Unit tests**: Cover all business logic (state managers, repositories, utility functions)\n\n[ ] **Widget tests**: Cover individual widget behavior, interactions, and visual output\n\n[ ] **Integration tests**: Cover critical user flows end-to-end\n\n[ ] **Golden tests**: Pixel-perfect comparisons for design-critical UI components", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:test", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "1baa174293e99759214938654e2e2b3b97af6fca2f902f4d4bccbd66a85288c0", "alias_sources": []}
{"id": "76102fc7872c82b9", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Safety Defaults"], "section_title": "Safety Defaults", "section_body": "Safety Defaults\n\ndefault is review-first, never blind auto-pruning\n\nX: prune only accounts the user follows, never followers\n\nLinkedIn: treat 1st-degree connection removal as manual-review-first\n\ndo not auto-send DMs, invites, or emails\n\nemit a ranked action plan and drafts before any apply step", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "5de3e7658ecce204cfa46150801d25df760b87c8b961cb67f3dd9665e146f6eb", "alias_sources": []}
{"id": "7632529d260247c4", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "How It Works", "x402 Protocol"], "section_title": "x402 Protocol", "section_body": "How It Works\n\nx402 Protocol\n\nx402 extends HTTP 402 (Payment Required) into a machine-negotiable flow. When a server returns `402`, the agent's payment tool automatically negotiates price, checks budget, signs a transaction, and retries \u2014 no human in the loop.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "d7088a09ce1b3a1b4b5e78161c944e48c416981ab9da48a5570f7fc59dadb90a", "alias_sources": []}
{"id": "766bb21382deeb7c", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "What is dmux"], "section_title": "What is dmux", "section_body": "What is dmux\n\ndmux is a tmux-based orchestration tool that manages AI agent panes:\n\nPress `n` to create a new pane with a prompt\n\nPress `m` to merge pane output back to the main session\n\nSupports: Claude Code, Codex, OpenCode, Cline, Gemini, Qwen\n\n**Install:** Install dmux from its repository after reviewing the package. See [github.com/standardagents/dmux](https://github.com/standardagents/dmux)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "521a00f6607e3a87940a5a855056d9c0cdd27f6e304acc4dc7f7694d9943c69a", "alias_sources": []}
{"id": "7670c7e118e62f76", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to find leads or prospects in a specific industry\n\nBuilding an outreach list for partnerships, sales, or fundraising\n\nResearching who to reach out to and the best path to reach them\n\nUser says \"find leads\", \"outreach list\", \"who should I reach out to\", \"warm intros\"\n\nNeeds to score or rank a list of contacts by relevance\n\nWants to map mutual connections to find warm introduction paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "1d2cb0b45a4543e496b9e683f6fae261c485f54a418ce62fdb87e5e9d46026f3", "alias_sources": []}
{"id": "767518c519985adf", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Decision Frameworks", "Bottleneck Identification"], "section_title": "Bottleneck Identification", "section_body": "Bottleneck Identification\n\n**Pull utilization reports** for all work centres over the trailing 2 weeks (by shift, not averaged).\n\n**Rank by utilization ratio** (load hours / available hours). The top work centre is the suspected constraint.\n\n**Verify causally:** Would adding one hour of capacity at this work centre increase total plant output? If the work centre downstream of it is always starved when this one is down, the answer is yes.\n\n**Check for shifting patterns:** If the top-ranked work centre changes between shifts or between weeks, you have a shifting bottleneck driven by product mix. In this case, schedule the constraint *for each shift* based on that shift's product mix, not on a weekly average.\n\n**Distinguish from artificial constraints:** A work centre that appears overloaded because upstream batch-dumps WIP into it is not a true constraint \u2014 it is a victim of poor upstream scheduling. Fix the upstream release rate before adding capacity to the victim.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy", "phase:debug"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "8c9215c89e9e9a753c45cb2d12b50d0eab4e6c7e9304eb0f69e57b56043f7ca6", "alias_sources": []}
{"id": "7678a8bd6f03151d", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit"], "section_title": "Workspace Surface Audit", "section_body": "Workspace Surface Audit\n\nRead-only audit skill for answering the question \"what can this workspace and machine actually do right now, and what should we add or enable next?\"\n\nThis is the ECC-native answer to setup-audit plugins. It does not modify files unless the user explicitly asks for follow-up implementation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "0168d7bbf077e7fe58b69943b650e0d7272e736dcb676bc5bf301c732fd91242", "alias_sources": []}
{"id": "7687684854ccbb66", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**New carrier onboarding**: Regional LTL carrier applies for your freight. Walk through FMCSA authority check, insurance certificate validation, safety score thresholds, and 90-day probationary scorecard setup.\n\n**Annual RFP**: Run a 200-lane TL RFP. Structure bid packages, analyze incumbent vs. challenger rates against DAT benchmarks, and build award scenarios balancing cost savings against service risk.\n\n**Tight capacity reallocation**: Primary carrier on a critical lane drops tender acceptance to 60%. Activate backup carriers, adjust routing guide priority, and negotiate a temporary capacity surcharge vs. spot market exposure.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "b2150ebe1699e9cfe8f0672070c3f426babb4b885caee45a34842bfe0b4df488", "alias_sources": []}
{"id": "768cc123b2ea0501", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Core Rules"], "section_title": "Core Rules", "section_body": "Core Rules\n\nPersonalize every outbound message.\n\nKeep the ask low-friction.\n\nUse proof instead of adjectives.\n\nStay concise.\n\nNever send copy that could go to any investor.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "a44bc045d3b2e878329f510e352718f7e68f32d4bb9035794a75cb8b4e19e053", "alias_sources": []}
{"id": "76bede8bbc6141dd", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Common Pitfalls", "Over-Mocking"], "section_title": "Over-Mocking", "section_body": "Common Pitfalls\n\nForgetting `done_testing`\n\nMissing `-l` Flag\n\nOver-Mocking\n\nMock the *dependency*, not the code under test. If your test only verifies that a mock returns what you told it to, it tests nothing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "588e92a0e77e117c1fd9c7d380ff2435b20a9b6258934bc3e20c2875379e39fd", "alias_sources": []}
{"id": "76c5be1759aaa6db", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Tool Requirements", "Preferred"], "section_title": "Preferred", "section_body": "Tool Requirements\n\nPreferred\n\n`x-api` for X graph inspection and recent activity\n\n`lead-intelligence` for target discovery and warm-path ranking\n\n`social-graph-ranker` when the user wants bridge value scored independently of the broader lead workflow\n\nExa / deep research for person and company enrichment\n\n`brand-voice` before drafting outbound", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "407fdb6a3ff1cb3f564c413760135d3591091fbb8ff8b99658b0eb1b7c1a21ed", "alias_sources": []}
{"id": "76d17ce35dcfc2e5", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Pairing with ECC", "Avoiding Hook Conflicts"], "section_title": "Avoiding Hook Conflicts", "section_body": "Avoiding Hook Conflicts\n\nIf running both ECC and Plankton hooks:\n\nECC's Prettier hook and Plankton's biome formatter may conflict on JS/TS files\n\nResolution: disable ECC's Prettier PostToolUse hook when using Plankton (Plankton's biome is more comprehensive)\n\nBoth can coexist on different file types (ECC handles what Plankton doesn't cover)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "6878c0ab4848022e231dc139ac711c615afd17bea0ca486eacc16f08cee09999", "alias_sources": []}
{"id": "773479a44aad5c51", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Best Practices", "DON'T"], "section_title": "DON'T", "section_body": "DON'T\n\nDon't depend on real time or network in unit tests\n\nDon't use sleeps as synchronization when a condition variable can be used\n\nDon't over-mock simple value objects\n\nDon't use brittle string matching for non-critical logs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "d205edf4cc8751c82709525af3e8435a0fb0bc55d1162ec49cf482155575c212", "alias_sources": []}
{"id": "777844bda71e9817", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Common Analytics Queries", "Time Series Analysis"], "section_title": "Time Series Analysis", "section_body": "Query Performance\n\nTable Statistics\n\nCommon Analytics Queries\n\nTime Series Analysis", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "e67b6622b25dbd853d577315949d69aab47f41e9064e1df15d0ec1b9effcfaf4", "alias_sources": []}
{"id": "779b5d7013a37e77", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Source Files & Naming (SF.*, NL.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Header Guard\n\nNaming Conventions\n\nAnti-Patterns\n\n`using namespace std;` in a header at global scope (SF.7)\n\nHeaders that depend on inclusion order (SF.10, SF.11)\n\nHungarian notation like `strName`, `iCount` (NL.5)\n\nALL_CAPS for anything other than macros (NL.9)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "88a9c663a1fdc86a0035dca501bd2ba5e1ebf8678aa372b73649f40ec9bc8b25", "alias_sources": []}
{"id": "77cd2036e6994526", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Secrets Management"], "section_title": "Secrets Management", "section_body": "Secrets Management\n\nNo secrets in source; load from env or vault\n\nKeep `application.yml` free of credentials; use placeholders\n\nRotate tokens and DB credentials regularly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "8f41027debe6238b11987d5d2802dbffe69a26e7b14e6c90a71485b06620c57a", "alias_sources": []}
{"id": "77cfb2ffcf610624", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "Operations", "Convert Documents"], "section_title": "Convert Documents", "section_body": "Operations\n\nConvert Documents\n\nSupported inputs: PDF, DOCX, XLSX, PPTX, DOC, XLS, PPT, PPS, PPSX, ODT, RTF, HTML, JPG, PNG, TIFF, HEIC, GIF, WebP, SVG, TGA, EPS.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "9f561e0100916d1c01c0625ba7d6b9c1d26164860db9051f844de4ddaad10a1a", "alias_sources": []}
{"id": "77e572d7c16f1009", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Phase Details", "Phase 4: Fix Until Nice (Convergence Loop)"], "section_title": "Phase 4: Fix Until Nice (Convergence Loop)", "section_body": "Phase 4: Fix Until Nice (Convergence Loop)\n\nCritical: each review round uses **fresh agents**. Reviewers must not carry memory from previous rounds, as prior context creates anchoring bias.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "54cefe5bd780981d142fefcd000126fcaf11126bb1e6e97a195623778f2015e3", "alias_sources": []}
{"id": "7812118070703506", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Common Use Cases"], "section_title": "Common Use Cases", "section_body": "Common Use Cases\n\n| Scenario | Recommended Approach |\n|----------|---------------------|\n| \"What package for auth?\" | Search \"auth\" with healthy filter |\n| \"Is spatie/package still maintained?\" | Get details, check health score |\n| \"Need Laravel 12 packages\" | Search with laravel_compatibility: \"12\" |\n| \"Find admin panel packages\" | Search \"admin panel\", review results |\n| \"Check vendor reputation\" | Search by vendor, check details |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "b927cbaab23cf2644479fa54bebd77255fe8e5b7aadc2501b43c82af57d154f1", "alias_sources": []}
{"id": "782fc25bae8186b2", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Error Handling (E.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Error Handling (E.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **E.1** | Develop an error-handling strategy early in a design |\n| **E.2** | Throw an exception to signal that a function can't perform its assigned task |\n| **E.6** | Use RAII to prevent leaks |\n| **E.12** | Use `noexcept` when throwing is impossible or unacceptable |\n| **E.14** | Use purpose-designed user-defined types as exceptions |\n| **E.15** | Throw by value, catch by reference |\n| **E.16** | Destructors, deallocation, and swap must never fail |\n| **E.17** | Don't try to catch every exception in every function |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "0c863402cdeb3bd75de149bd1774a05b52e4797169c149ec0c5d55ef8d087863", "alias_sources": []}
{"id": "787c2c23276ff4a1", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Pagination", "Cursor-Based (Scalable)"], "section_title": "Cursor-Based (Scalable)", "section_body": "Cursor-Based (Scalable)\n\n**Pros:** Consistent performance regardless of position, stable with concurrent inserts\n**Cons:** Cannot jump to arbitrary page, cursor is opaque", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "0c0338ea0e5612a2010c18882fc10909825de2d62931a4cd2146b2fcbec0f0d2", "alias_sources": []}
{"id": "7880da8dd64f148e", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Voice Before Outreach"], "section_title": "Voice Before Outreach", "section_body": "Pipeline Overview\n\nVoice Before Outreach\n\nDo not draft outbound from generic sales copy.\n\nRun `brand-voice` first whenever the user's voice matters. Reuse its `VOICE PROFILE` instead of re-deriving style ad hoc inside this skill.\n\nIf live X access is available, pull recent original posts before drafting. If not, use supplied examples or the best repo/site material available.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "37631beb6aa59afe40599fdea34541e1b9c6fec50d12ecc6e3b9168f10eab300", "alias_sources": []}
{"id": "7881dc07fcd93b64", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Documentation Requirements"], "section_title": "Documentation Requirements", "section_body": "Documentation Requirements\n\n**Commercial Invoice:** Must include seller/buyer names and addresses, description of goods sufficient for classification, quantity, unit price, total value, currency, Incoterms, country of origin, and payment terms. US CBP requires the invoice conform to 19 CFR \u00a7 141.86. Undervaluation triggers penalties per 19 USC \u00a7 1592.\n\n**Packing List:** Weight and dimensions per package, marks and numbers matching the BOL, piece count. Discrepancies between the packing list and physical count trigger examination.\n\n**Certificate of Origin:** Varies by FTA. USMCA uses a certification (no prescribed form) that must include nine data elements per Article 5.2. EUR.1 movement certificates for EU preferential trade. Form A for GSP claims. UK uses \"origin declarations\" on invoices for UK-EU TCA claims.\n\n**Bill of Lading / Air Waybill:** Ocean BOL serves as title to goods, contract of carriage, and receipt. Air waybill is non-negotiable. Both must match the commercial invoice details \u2014 carrier-added notations (\"said to contain,\" \"shipper's load and count\") limit carrier liability and affect customs risk scoring.\n\n**ISF 10+2 (US):** Importer Security Filing must be submitted 24 hours before vessel loading at foreign port. Ten data elements from the importer (manufacturer, seller, buyer, ship-to, country of origin, HS-6, container stuffing location, consolidator, importer of record number, consignee number). Two from the carrier. Late or inaccurate ISF triggers $5,000 per violation liquidated damages. CBP uses ISF data for targeting \u2014 errors increase examination probability.\n\n**Entry Summary (CBP 7501):** Filed within 10 business days of entry. Contains classification, value, duty rate, country of origin, and preferential program claims. This is the legal declaration \u2014 errors here create penalty exposure under 19 USC \u00a7 1592.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:deploy", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "d918f41102e55e26fc298d6d9476526311f452ec9dddece5c70f9dde4bcbbcad", "alias_sources": []}
{"id": "78992eaa6760c47b", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "5. Performance", "Other:"], "section_title": "Other:", "section_body": "Other:\n\n[ ] `Opacity` widget avoided in animations \u2014 use `AnimatedOpacity` or `FadeTransition`\n\n[ ] Clipping avoided in animations \u2014 pre-clip images\n\n[ ] `operator ==` not overridden on widgets \u2014 use `const` constructors instead\n\n[ ] Intrinsic dimension widgets (`IntrinsicHeight`, `IntrinsicWidth`) used sparingly (extra layout pass)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "36e77c921160c2e7b8f1d8ae0d35b7de751b79d0319bc8c7fb8be854d8fe4412", "alias_sources": []}
{"id": "78a4579b7b60100b", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Audit Process", "Phase 3: Turn Gaps Into ECC Decisions"], "section_title": "Phase 3: Turn Gaps Into ECC Decisions", "section_body": "Phase 3: Turn Gaps Into ECC Decisions\n\nFor every real gap, recommend the correct ECC-native shape:\n\n| Gap Type | Preferred ECC Shape |\n|----------|---------------------|\n| Repeatable operator workflow | Skill |\n| Automatic enforcement or side-effect | Hook |\n| Specialized delegated role | Agent |\n| External tool bridge | MCP server or connector |\n| Install/bootstrap guidance | Setup or audit skill |\n\nDefault to user-facing skills that orchestrate existing tools when the need is operational rather than infrastructural.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "98ee62134cd72b71f597e77089a36bd612959695f75651f5001b2e9bd9089f6c", "alias_sources": []}
{"id": "78b2c33adf9bbc4b", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Memory and Performance", "Preallocate Slices When Size is Known"], "section_title": "Preallocate Slices When Size is Known", "section_body": "Embedding for Composition\n\nMemory and Performance\n\nPreallocate Slices When Size is Known", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "48b6092be772c28f6831d843143ed6d2eba52613ab191ed1e7b5ee7edef4637d", "alias_sources": []}
{"id": "791117ac649fbf53", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "How It Works", "Mode 2: Freeze Mode"], "section_title": "Mode 2: Freeze Mode", "section_body": "Mode 2: Freeze Mode\n\nLocks file edits to a specific directory tree:\n\nAny Write/Edit outside `src/components/` is blocked with an explanation. Useful when you want an agent to focus on one area without touching unrelated code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "183449bbf06334efc3de417b5fd5267d3fc3fedcefd7691350dd64e23dc24561", "alias_sources": []}
{"id": "7941dea07e4435de", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Outputs"], "section_title": "Outputs", "section_body": "Outputs\n\nProduce these artifacts in order:\n\nDAILY inventory\n\nLIBRARY inventory\n\ninstall plan\n\nverification report\n\noptional `skill-library` router if the project wants one", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "61cae18c2cd981fb57595bfc8bab684739da66b2dc57f2f9d2a1bdcab41d1d21", "alias_sources": []}
{"id": "794baa3cd95b5880", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "How it works", "Step 2: Select the Best Match"], "section_title": "Step 2: Select the Best Match", "section_body": "Step 2: Select the Best Match\n\nFrom the resolution results, choose one result using:\n\n**Name match**: Prefer exact or closest match to what the user asked for.\n\n**Benchmark score**: Higher scores indicate better documentation quality (100 is highest).\n\n**Source reputation**: Prefer High or Medium reputation when available.\n\n**Version**: If the user specified a version (e.g. \"React 19\", \"Next.js 15\"), prefer a version-specific library ID if listed (e.g. `/org/project/v1.2.0`).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "9ad73bb67700c813b0be799fc4132618616aa37b7ea7c6ab4e2cc276685d2f37", "alias_sources": []}
{"id": "79ca033b19f25b00", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Workflow", "3. Draft, then verify"], "section_title": "3. Draft, then verify", "section_body": "3. Draft, then verify\n\nFor draft-only work:\n\nproduce the final copy\n\nstate sender, recipient, subject, and purpose\n\nFor live-send work:\n\nverify the exact final body first\n\nsend through the chosen mail surface\n\nconfirm the message landed in Sent or the equivalent sent-copy store", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "54ba401f803fa72ab9c08fae30253efedbdb731b4c238c14c748ffc98e543447", "alias_sources": []}
{"id": "79e75ec592ee976b", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "6. Testing", "Coverage targets:"], "section_title": "Coverage targets:", "section_body": "Coverage targets:\n\n[ ] Aim for 80%+ line coverage on business logic\n\n[ ] All state transitions have corresponding tests (loading \u2192 success, loading \u2192 error, retry, etc.)\n\n[ ] Edge cases tested: empty states, error states, loading states, boundary values", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "f4438fe658d32d17a5a638a601e4097d8605835fc864af6ec63c6f2a47de67c3", "alias_sources": []}
{"id": "79ececa413fe8632", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\ngeneric startup gradients with no visual identity\n\nsystem-font decks unless intentionally editorial\n\nlong bullet walls\n\ncode blocks that need scrolling\n\nfixed-height content boxes that break on short screens\n\ninvalid negated CSS functions like `-clamp(...)`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "84d3cad4e6a6cb609f767fb8dc490bc5b5d29e5679312493a86e933df06c92c3", "alias_sources": []}
{"id": "7a04f10ac6931e1a", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build", "Integration"], "section_title": "Integration", "section_body": "Integration\n\nPair with:\n\n`/browser-qa` to verify the user journey audit findings\n\n`/design-system audit` for visual polish assessment\n\n`/canary-watch` for post-launch monitoring\n\n`product-capability` when the product brief needs to become an implementation-ready capability plan", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "8fa13f000d34c55e6b0b64ff392ac280e8ccb039d10d94b127fed0b49cf891f8", "alias_sources": []}
{"id": "7a39652d506b89db", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration"], "section_title": "6. Ralphinho / RFC-Driven DAG Orchestration", "section_body": "6. Ralphinho / RFC-Driven DAG Orchestration\n\n**The most sophisticated pattern.** An RFC-driven, multi-agent pipeline that decomposes a spec into a dependency DAG, runs each unit through a tiered quality pipeline, and lands them via an agent-driven merge queue. Created by enitrat (credit: @enitrat).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "6b9d60dee423c7892b642ad2a8b4a50ced4d41f41d03617b0b384da9fe9e28fd", "alias_sources": []}
{"id": "7a4030991de032ce", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nClassify products using GRI rules and chapter/heading/subheading analysis\n\nDetermine applicable duty rates, preferential programs (FTZs, drawback, FTAs), and trade remedies\n\nScreen all transaction parties against consolidated denied-party lists before shipment\n\nPrepare and validate entry documentation per jurisdiction requirements\n\nMonitor regulatory changes (tariff modifications, new sanctions, trade agreement updates)\n\nRespond to government inquiries with proper prior disclosure and penalty mitigation strategies", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "73694c0196b121d91a3e595bb589508e5c1db08abb951ee5f4a1eba2c60992c8", "alias_sources": []}
{"id": "7a7fd7989802a462", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Restricted Party Screening"], "section_title": "Restricted Party Screening", "section_body": "Restricted Party Screening\n\n**Mandatory lists (US):** SDN (OFAC \u2014 Specially Designated Nationals), Entity List (BIS \u2014 export control), Denied Persons List (BIS \u2014 export privilege denied), Unverified List (BIS \u2014 cannot verify end use), Military End User List (BIS), Non-SDN Menu-Based Sanctions (OFAC). Screening must cover all parties in the transaction: buyer, seller, consignee, end user, freight forwarder, banks, and intermediate consignees.\n\n**EU/UK lists:** EU Consolidated Sanctions List, UK OFSI Consolidated List, UK Export Control Joint Unit.\n\n**Red flags triggering enhanced due diligence:** Customer reluctant to provide end-use information. Unusual routing (high-value goods through free ports). Customer willing to pay cash for expensive items. Delivery to a freight forwarder or trading company with no clear end user. Product capabilities exceed the stated application. Customer has no business background in the product type. Order patterns inconsistent with customer's business.\n\n**False positive management:** ~95% of screening hits are false positives. Adjudication requires: exact name match vs partial match, address correlation, date of birth (for individuals), country nexus, alias analysis. Document the adjudication rationale for every hit \u2014 regulators will ask during audits.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "a804b8c0815c5312657fd6e092731446c878535f51f1cce234981ad62f472da1", "alias_sources": []}
{"id": "7ab49018c4ab014f", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Related ECC Skills"], "section_title": "Related ECC Skills", "section_body": "Related ECC Skills\n\n`frontend-patterns` for component and interaction patterns around the deck\n\n`liquid-glass-design` when a presentation intentionally borrows Apple glass aesthetics\n\n`e2e-testing` if you need automated browser verification for the final deck", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "aa87379b2d64d77879db14b706459fd043b0919f2e036b45670adc41edb94074", "alias_sources": []}
{"id": "7ad579f094596ae6", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Core Workflow", "2. Resolve capability constraints"], "section_title": "2. Resolve capability constraints", "section_body": "2. Resolve capability constraints\n\nExtract the constraints that must hold before implementation:\n\nbusiness rules\n\nscope boundaries\n\ninvariants\n\ntrust boundaries\n\ndata ownership\n\nlifecycle transitions\n\nrollout / migration requirements\n\nfailure and recovery expectations\n\nThese are the things that often live only in senior-engineer memory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "abfe5c6531c5169554270a67bb81cc4f2be037dc79d1acfcfec3e316628c76c8", "alias_sources": []}
{"id": "7aec568f7712d495", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "Test Framework Stack"], "section_title": "Test Framework Stack", "section_body": "Test Framework Stack\n\n| Tool | Purpose |\n|---|---|\n| **xUnit** | Test framework (preferred for .NET) |\n| **FluentAssertions** | Readable assertion syntax |\n| **NSubstitute** or **Moq** | Mocking dependencies |\n| **Testcontainers** | Real infrastructure in integration tests |\n| **WebApplicationFactory** | ASP.NET Core integration tests |\n| **Bogus** | Realistic test data generation |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "823c3536c5879c3af753ccf4dac701ef7b284c5f78bfb5725b038a7849243df6", "alias_sources": []}
{"id": "7b151153c5bbb2f0", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Quality Engineer) \u2192 Level 2 (Quality Supervisor, 4 hours) \u2192 Level 3 (Quality Manager, 24 hours) \u2192 Level 4 (Quality Director, 48 hours) \u2192 Level 5 (VP Quality, 72+ hours or any safety-critical event)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "4e5c2875517e74f9847680005c2ca74d41ccfadb288501d6aff74b6fb304ac01", "alias_sources": []}
{"id": "7b33421d96d9b956", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "Implementation", "3. LLM Validator (Edge Cases Only)"], "section_title": "3. LLM Validator (Edge Cases Only)", "section_body": "2. Confidence Scoring\n\nFlag items that may need LLM review:\n\n3. LLM Validator (Edge Cases Only)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "7380c6e17dd3430fff015340c6eb3db60b754dc4bbdd2aed0f7c21a1f8244d59", "alias_sources": []}
{"id": "7b3e2594c6ae571c", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Core Principles", "1. Ownership and Borrowing"], "section_title": "1. Ownership and Borrowing", "section_body": "Core Principles\n\n1. Ownership and Borrowing\n\nRust's ownership system prevents data races and memory bugs at compile time.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "642dc4a84d733cf925744c3fb43dd9c65872f5a754430a6cb882c6dc95116646", "alias_sources": []}
{"id": "7b424556f0c711c5", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Identify target code** \u2014 Find the function, class, or module to test\n\n**Write a Kotest spec** \u2014 Choose a spec style (StringSpec, FunSpec, BehaviorSpec) matching the test scope\n\n**Mock dependencies** \u2014 Use MockK to isolate the unit under test\n\n**Run tests (RED)** \u2014 Verify the test fails with the expected error\n\n**Implement code (GREEN)** \u2014 Write minimal code to pass the test\n\n**Refactor** \u2014 Improve the implementation while keeping tests green\n\n**Check coverage** \u2014 Run `./gradlew koverHtmlReport` and verify 80%+ coverage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:build", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "45e3d6f063d311116098c0c1c650423c803a90cf48f4c5c7430b7f6d7605ff2d", "alias_sources": []}
{"id": "7b6008d1f20a48ff", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Filtering Best Practices", "By Laravel Version"], "section_title": "By Laravel Version", "section_body": "By Laravel Version\n\n| Version | Notes |\n|---------|-------|\n| `13` | Latest Laravel |\n| `12` | Current stable |\n| `11` | Still widely used |\n| `10` | Legacy but common |\n| `5`-`9` | Deprecated |\n\n**Recommendation**: Match the target project's Laravel version.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "43d7009c16abee7e958b7894dd2d02ebad96db0e26569b1d1fae8d865680a785", "alias_sources": []}
{"id": "7b6b1ad6932b3afb", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "File Uploads"], "section_title": "File Uploads", "section_body": "File Uploads\n\nValidate size, content type, and extension\n\nStore outside web root; scan if required", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "1390e2b02f62a9e1e4292fcf5629b2ba3468970f9316049bd71deb366655e3e0", "alias_sources": []}
{"id": "7b802c78b860b03d", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance"], "section_title": "HIPAA Compliance", "section_body": "HIPAA Compliance\n\nUse this as the HIPAA-specific entrypoint when a task is clearly about US healthcare compliance. This skill intentionally stays thin and canonical:\n\n`healthcare-phi-compliance` remains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.\n\n`healthcare-reviewer` remains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.\n\n`security-review` still applies for general auth, input-handling, secrets, API, and deployment hardening.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:review"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "2399e7ca8cc5d060469fc4f5897d5d43f8eb720cf780bd034b541bb6431929cc", "alias_sources": []}
{"id": "7b9e3a477fbed699", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Structured Concurrency", "Scope Hierarchy"], "section_title": "Scope Hierarchy", "section_body": "Structured Concurrency\n\nScope Hierarchy\n\nAlways use structured concurrency \u2014 never `GlobalScope`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "73cacc97ff5c5d58f919d1aac0cc8ce80a2663565331aefecc88118831908bca", "alias_sources": []}
{"id": "7b9ef819f28d2e8e", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "How It Works", "Step 4: Ensure Understandable Logic"], "section_title": "Step 4: Ensure Understandable Logic", "section_body": "Step 4: Ensure Understandable Logic\n\nUse consistent navigation patterns.\n\nProvide descriptive error messages and suggestions for correction (SC 3.3.3).\n\nImplement \"Redundant Entry\" (SC 3.3.7) to prevent asking for the same data twice.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "cfca0062a2a49328aa414969ae366d7d206a90f7d703477475d94e6fa843c43c", "alias_sources": []}
{"id": "7be60bdef2535b10", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Model Architecture Patterns", "Proper Weight Initialization"], "section_title": "Proper Weight Initialization", "section_body": "Model Architecture Patterns\n\nClean nn.Module Structure\n\nProper Weight Initialization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "d15535b1c768861994b45842b2effe91ed012ae68b2ea3c58a9a5105e9e5249e", "alias_sources": []}
{"id": "7c1036eebd6a5b27", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern"], "section_title": "Iterative Retrieval Pattern", "section_body": "Iterative Retrieval Pattern\n\nSolves the \"context problem\" in multi-agent workflows where subagents don't know what context they need until they start working.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "26a60fb286c5d8472ef37ee3ac0923357efc642a4e8b89e8beb02b1fc360b78f", "alias_sources": []}
{"id": "7c204b99c2115a03", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Persistence Rule"], "section_title": "Persistence Rule", "section_body": "Persistence Rule\n\nDo **not** write ad-hoc notes to `~/.claude/notes` or other shadow paths from this skill.\n\nIf the council materially changes the recommendation:\n\nuse `knowledge-ops` to store the lesson in the right durable location\n\nor use `/save-session` if the outcome belongs in session memory\n\nor update the relevant GitHub / Linear issue directly if the decision changes active execution truth\n\nOnly persist a decision when it changes something real.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "198166297f87db6f837364a45c190f2ed7d12dcaf7e4f60db13809c470d5adb8", "alias_sources": []}
{"id": "7c657be430df8002", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns"], "section_title": "Healthcare CDSS Development Patterns", "section_body": "Healthcare CDSS Development Patterns\n\nPatterns for building Clinical Decision Support Systems that integrate into EMR workflows. CDSS modules are patient safety critical \u2014 zero tolerance for false negatives.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "76e56032447233ee4698b2b25303a97264d9ae870b7760697b25fa5e92cdcc5b", "alias_sources": []}
{"id": "7c8a94e3ad999d12", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Examples", "Screen Recording (Desktop Capture)"], "section_title": "Screen Recording (Desktop Capture)", "section_body": "Screen Recording (Desktop Capture)\n\nUse `ws_listener.py` to capture WebSocket events during recording sessions. Desktop capture supports **macOS** only.\n\nQuick Start\n\nQuick Start\n\n**Choose state dir**: `STATE_DIR=\"${VIDEODB_EVENTS_DIR:-$HOME/.local/state/videodb}\"`\n\n**Start listener**: `VIDEODB_EVENTS_DIR=\"$STATE_DIR\" python scripts/ws_listener.py --clear \"$STATE_DIR\" &`\n\n**Get WebSocket ID**: `cat \"$STATE_DIR/videodb_ws_id\"`\n\n**Run capture code** (see reference/capture.md for the full workflow)\n\n**Events written to**: `$STATE_DIR/videodb_events.jsonl`\n\nUse `--clear` whenever you start a fresh capture run so stale transcript and visual events do not leak into the new session.\n\nQuery Events\n\nQuery Events", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "148036a4669a2a8fe962807ea7ff11d661d36a1f7e39998f5399e95b74e7c933", "alias_sources": []}
{"id": "7c918037f8cdb4f4", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Non-Negotiable Rules"], "section_title": "Non-Negotiable Rules", "section_body": "Non-Negotiable Rules\n\nNever print secret values. Surface only provider names, capability names, file paths, and whether a key or config exists.\n\nPrefer ECC-native workflows over generic \"install another plugin\" advice when ECC can reasonably own the surface.\n\nTreat external plugins as benchmarks and inspiration, not authoritative product boundaries.\n\nSeparate three things clearly:\n\nalready available now\n\navailable but not wrapped well in ECC\n\nnot available and would require a new integration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "db271825b8f808a6ca9c64a269ee1f591ff4c52449c7c0c2cf352389f08fa495", "alias_sources": []}
{"id": "7cccad59b3761efe", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Global Scopes and Soft Deletes"], "section_title": "Global Scopes and Soft Deletes", "section_body": "Eager Loading to Avoid N+1\n\nQuery Objects for Complex Filters\n\nGlobal Scopes and Soft Deletes\n\nUse global scopes for default filtering and `SoftDeletes` for recoverable records.\nUse either a global scope or a named scope for the same filter, not both, unless you intend layered behavior.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "ad0fd687e53bf95038040cc1c985e758699e9548eae132f74d5522730f8c29b6", "alias_sources": []}
{"id": "7d08d08fa9a78cf1", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Observation Design"], "section_title": "Observation Design", "section_body": "Observation Design\n\nEvery tool response should include:\n\n`status`: success|warning|error\n\n`summary`: one-line result\n\n`next_actions`: actionable follow-ups\n\n`artifacts`: file paths / IDs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "ecc96c4d140fbbed94f3934df658f6b1b30c817c304c99d6120776530dafe7d7", "alias_sources": []}
{"id": "7d119d1919cd3aa2", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nReturn five sections in this order:\n\n**Current surface**\n\nwhat is already usable right now\n\n**Parity**\n\nwhere ECC already matches or exceeds the benchmark\n\n**Primitive-only gaps**\n\ntools exist, but ECC lacks a clean operator skill\n\n**Missing integrations**\n\ncapability not available yet\n\n**Top 3-5 next moves**\n\nconcrete ECC-native additions, ordered by impact", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "99d1c09be7db29e7361bf67e26ae9cecf1e5adeee64e63f6cd92a91c7832b765", "alias_sources": []}
{"id": "7d27b817b99b6b03", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\nstart read-only unless the user explicitly asked for fixes\n\nseparate:\n\nconfigured\n\nauthenticated\n\nrecently verified\n\nstale or broken\n\nmissing entirely\n\ndo not claim a tool is live just because a skill or config references it\n\ndo not merge or delete overlapping surfaces until the evidence table exists", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "0fecb7ee3ca2ef62421151aacff74ab959c25edc0d05c180bc5bb3e25f79a922", "alias_sources": []}
{"id": "7d2b79d0e5080fb6", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 5: Generated Assets (ElevenLabs / fal.ai)", "Generated visuals with fal.ai"], "section_title": "Generated visuals with fal.ai", "section_body": "Generated visuals with fal.ai\n\nUse for insert shots, thumbnails, or b-roll that doesn't exist:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "73ef4ab33ea746fa5490c82addaa8b7988df2f16411d34d60cd093ef1cc0a546", "alias_sources": []}
{"id": "7d3928153d601a2f", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "Table Definitions", "Composite Tables"], "section_title": "Composite Tables", "section_body": "Flyway Migrations\n\nMigration Files\n\nTable Definitions\n\nDSL Style Tables\n\nComposite Tables", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "5fa743d4ebd53901fc28db54b0fc633c5003557e031bf9195adebc1bbb76c065", "alias_sources": []}
{"id": "7d41c47249e8958e", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "3. Widget Best Practices", "Build method complexity:"], "section_title": "Build method complexity:", "section_body": "Build method complexity:\n\n[ ] No network calls, file I/O, or heavy computation in `build()`\n\n[ ] No `Future.then()` or `async` work in `build()`\n\n[ ] No subscription creation (`.listen()`) in `build()`\n\n[ ] `setState()` localized to smallest possible subtree", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "bd858227ea482b7531c0cc88e7ddcb8b28ccebcc19b6d94617c28a76f0d65ea6", "alias_sources": []}
{"id": "7d70db8f758071ac", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 2: Linting and Static Analysis"], "section_title": "Phase 2: Linting and Static Analysis", "section_body": "Phase 1.5: Composer and Autoload\n\nPhase 2: Linting and Static Analysis\n\nIf your project uses Psalm instead of PHPStan:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "aacd0f3b3cf6442eee8e928b41c9eb044457c8631cbb9511ec7d3989387a6a65", "alias_sources": []}
{"id": "7d7fafa4a9eb8dae", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "Recommendation Rules"], "section_title": "Recommendation Rules", "section_body": "Recommendation Rules\n\nRecommend at most 1-2 highest-value ideas per category.\n\nFavor skills with obvious user intent and business value:\n\nsetup audit\n\nbilling/customer ops\n\nissue/program ops\n\nGoogle Workspace ops\n\ndeployment/ops control\n\nIf a connector is company-specific, recommend it only when it is genuinely available or clearly useful to the user's workflow.\n\nIf ECC already has a strong primitive, propose a wrapper skill instead of inventing a brand-new subsystem.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "190ab8bf61d08680d72f4bba562d210bc57edaf9ce2ae2ad98cf00cd38952e9d", "alias_sources": []}
{"id": "7d81964049902e9b", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack these metrics weekly and trend monthly:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| NCR closure time (median) | < 15 business days | > 30 business days |\n| CAPA on-time closure rate | > 90% | < 75% |\n| CAPA effectiveness rate (no recurrence) | > 85% | < 70% |\n| Supplier PPM (incoming) | < 500 PPM | > 2,000 PPM |\n| Cost of quality (% of revenue) | < 3% | > 5% |\n| Internal defect rate (in-process) | < 1,000 PPM | > 5,000 PPM |\n| Customer complaint rate (per 1M units) | < 50 | > 200 |\n| Aged NCRs (> 30 days open) | < 10% of total | > 25% |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "6428a6d2da0abe4db5b44f36e251510bc08552d0877ab39ed39944015804c11c", "alias_sources": []}
{"id": "7d896c9e394d36ec", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Performance (Per.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Guidelines\n\nAnti-Patterns\n\nOptimizing without profiling data (Per.1, Per.6)\n\nChoosing \"clever\" low-level code over clear abstractions (Per.4, Per.5)\n\nIgnoring data layout and cache behavior (Per.19)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "65fa42914d8cdaa0bd5d9c8dffdfbf0cad774b2b9c83d1e3101b9964c5750e81", "alias_sources": []}
{"id": "7da68d93a24bd7bd", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns"], "section_title": "SwiftUI Patterns", "section_body": "SwiftUI Patterns\n\nModern SwiftUI patterns for building declarative, performant user interfaces on Apple platforms. Covers the Observation framework, view composition, type-safe navigation, and performance optimization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "b3d34bf971363d307ed1de64b89ce49a7f316467131647f0b02e91b237081901", "alias_sources": []}
{"id": "7dc525d621647c3f", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Notes"], "section_title": "Notes", "section_body": "Notes\n\nEvaluation is blind: the same checklist applies to all skills regardless of origin (ECC, self-authored, auto-extracted)\n\nArchive / delete operations always require explicit user confirmation\n\nNo verdict branching by skill origin", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "14e1e7272d2fdd7418372638527fa82ce9004067b1f98e4d9a0249f1fa22987e", "alias_sources": []}
{"id": "7dde593d6150207a", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Common Research Modes", "Market Sizing"], "section_title": "Market Sizing", "section_body": "Market Sizing\n\nUse:\n\ntop-down estimates from reports or public datasets\n\nbottom-up sanity checks from realistic customer acquisition assumptions\n\nexplicit assumptions for every leap in logic", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "8a386e5510be0be65ad147ed3a772dd1b662abcfb8f755e5a56930592b797143", "alias_sources": []}
{"id": "7de0bbf7da612fa7", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Strong Defaults", "Typography"], "section_title": "Typography", "section_body": "Strong Defaults\n\nTypography\n\npick fonts with character\n\npair a distinctive display face with a readable body face when appropriate\n\navoid generic defaults when the page is design-led", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "7deed4ab56cf22641e0eef0ecf5b4b0ac25241bbeb170f069b858f4f6b328465", "alias_sources": []}
{"id": "7de31574c3a90560", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "CSRF Protection", "Exempting Views (Use Carefully)"], "section_title": "Exempting Views (Use Carefully)", "section_body": "HTTP Headers\n\nCSRF Protection\n\nDefault CSRF Protection\n\nExempting Views (Use Carefully)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "787225e159e9088ba495caace912b47464113ccc2d37a6a7569e6c799868ff84", "alias_sources": []}
{"id": "7dfcff235fd5cfc9", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Scope Control", "Recommended agent split for full app:"], "section_title": "Recommended agent split for full app:", "section_body": "Recommended agent split for full app:\n\nAgent 1 MUST complete first. Its output is input for all other agents.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "6eb76a7b2ecea0cfb57da594c90e9925e98b634a4e04eebb89aaf2a663176682", "alias_sources": []}
{"id": "7e0e5f950c579f53", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Section 5: Enhancement Rationale"], "section_title": "Section 5: Enhancement Rationale", "section_body": "Section 5: Enhancement Rationale\n\n| Enhancement | Reason |\n|-------------|--------|\n| (what was added) | (why it matters) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "fe3a6d0451d85026ba4e3ab4143a7839db446f5e333864ee2b3353eb9a189584", "alias_sources": []}
{"id": "7e1590e4c3c7503f", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Common AI Regression Patterns", "Pattern 2: SELECT Clause Omission"], "section_title": "Pattern 2: SELECT Clause Omission", "section_body": "Pattern 2: SELECT Clause Omission\n\n**Frequency**: Common with Supabase/Prisma when adding new columns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "32b99d5198cc0a8fd4023cbf88022212be0ca5ea22254d33f7eca653ceff18cc", "alias_sources": []}
{"id": "7e2e02158c5d3754", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Scope Guardrails"], "section_title": "Scope Guardrails", "section_body": "Scope Guardrails\n\nwork in the sibling `ECC-Tools` repo, not in `everything-claude-code`\n\nstart read-only unless the user clearly asked for a fix\n\ndo not mutate unrelated billing, checkout, or UI flows while tracing analysis burn\n\ntreat app-generated branches and app-generated PRs as red-flag recursion paths until proved otherwise\n\nseparate three things explicitly:\n\nrepo-side burn root cause\n\ncustomer-facing billing impact\n\nproduct or entitlement gaps that need backlog follow-up", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "1bb7dcfe6fcf0a9544e6857cc912c57e23f76107373ef109b337c4bb3df4bd43", "alias_sources": []}
{"id": "7e39c364c6f1b02a", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Examples"], "section_title": "Examples", "section_body": "Examples", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "e68ee04dff59551b7d1ae07a2f8a00dc61d841628948da3d2781630706a05e92", "alias_sources": []}
{"id": "7e43d3ca053da722", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Reframe aspect ratio (for social platforms)"], "section_title": "Reframe aspect ratio (for social platforms)", "section_body": "Transcode video (resolution / quality change)\n\nReframe aspect ratio (for social platforms)\n\n**Warning:** `reframe()` is a slow server-side operation. For long videos it can take\nseveral minutes and may time out. Best practices:\n\nAlways limit to a short segment using `start`/`end` when possible\n\nFor full-length videos, use `callback_url` for async processing\n\nTrim the video on a `Timeline` first, then reframe the shorter result", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "1d31116d94bbb4bffe2a31ad71fea6438356b95db37f4d653d4b1187007aa790", "alias_sources": []}
{"id": "7e577b8e09c62ce7", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "When to use", "Timeline editing + generation"], "section_title": "Timeline editing + generation", "section_body": "Timeline editing + generation\n\nSubtitles: **generate**, **translate**, **burn-in**\n\nOverlays: **text/image/branding**, motion captions\n\nAudio: **background music**, **voiceover**, **dubbing**\n\nProgrammatic composition and exports via **timeline operations**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "921babf98298caddd15ee27fbe8303f1d5e96b3f5cfc40d5beae364eeee98393", "alias_sources": []}
{"id": "7e7a3355bca56cdc", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Configuration"], "section_title": "Configuration", "section_body": "Configuration\n\nEdit `config.json` to control the background observer:\n\n| Key | Default | Description |\n|-----|---------|-------------|\n| `observer.enabled` | `false` | Enable the background observer agent |\n| `observer.run_interval_minutes` | `5` | How often the observer analyzes observations |\n| `observer.min_observations_to_analyze` | `20` | Minimum observations before analysis runs |\n\nOther behavior (observation capture, instinct thresholds, project scoping, promotion criteria) is configured via code defaults in `instinct-cli.py` and `observe.sh`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "afc8d48332cb1a1b718a75387ca09ede3ecadf23d7a7c1d71311742037b48bd9", "alias_sources": []}
{"id": "7e8f92444585a18d", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nCreating a single large protocol that covers all external access\n\nMocking internal types that have no external dependencies\n\nUsing `#if DEBUG` conditionals instead of proper dependency injection\n\nForgetting `Sendable` conformance when used with actors\n\nOver-engineering: if a type has no external dependencies, it doesn't need a protocol", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "875cf93953c86586e36882b3fec91d22a0b000561e144d707f9c66edb2322ead", "alias_sources": []}
{"id": "7eb8f0d10391a89d", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Best Practices", "5. Monitoring"], "section_title": "5. Monitoring", "section_body": "5. Monitoring\n\nTrack query performance\n\nMonitor disk usage\n\nCheck merge operations\n\nReview slow query log\n\n**Remember**: ClickHouse excels at analytical workloads. Design tables for your query patterns, batch inserts, and leverage materialized views for real-time aggregations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data", "phase:plan", "phase:review"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "16f19a303bd16c9ae9c16c51be1163ad8dea3ba8fbaea30b86cf275d6debf019", "alias_sources": []}
{"id": "7ecbdf7ac7e97aef", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Preferred Surface"], "section_title": "Preferred Surface", "section_body": "Preferred Surface\n\nStart from what already exists:\n\nGitHub issues, PRs, reviews, comments, and CI\n\nLinear issue/project movement\n\nlocal hook events and session lifecycle signals\n\ndesktop notification primitives\n\nconnected email/chat surfaces when they actually exist\n\nPrefer ECC-native orchestration over telling the user to adopt a separate notification product.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "cd966634f30b85b23a7317eb3b3d3a365ab1f896ffeacb892e2caf164275614e", "alias_sources": []}
{"id": "7ed3954088123db6", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Complementary Tools"], "section_title": "Complementary Tools", "section_body": "Git Worktree Integration\n\nFor tasks that touch overlapping files:\n\nComplementary Tools\n\n| Tool | What It Does | When to Use |\n|------|-------------|-------------|\n| **dmux** | tmux pane management for agents | Parallel agent sessions |\n| **Superset** | Terminal IDE for 10+ parallel agents | Large-scale orchestration |\n| **Claude Code Task tool** | In-process subagent spawning | Programmatic parallelism within a session |\n| **Codex multi-agent** | Built-in agent roles | Codex-specific parallel work |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "02a10f3e6175fb3b01e9e77e841d939fedec527e054b517ea44b940015f7ce24", "alias_sources": []}
{"id": "7f4de642e63820d4", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Rate Limiting (Filter + Bucket4j)"], "section_title": "Rate Limiting (Filter + Bucket4j)", "section_body": "Middleware / Filters\n\nPagination and Sorting\n\nError-Resilient External Calls\n\nRate Limiting (Filter + Bucket4j)\n\n**Security Note**: The `X-Forwarded-For` header is untrusted by default because clients can spoof it.\nOnly use forwarded headers when:\n\nYour app is behind a trusted reverse proxy (nginx, AWS ALB, etc.)\n\nYou have registered `ForwardedHeaderFilter` as a bean\n\nYou have configured `server.forward-headers-strategy=NATIVE` or `FRAMEWORK` in application properties\n\nYour proxy is configured to overwrite (not append to) the `X-Forwarded-For` header\n\nWhen `ForwardedHeaderFilter` is properly configured, `request.getRemoteAddr()` will automatically\nreturn the correct client IP from the forwarded headers. Without this configuration, use\n`request.getRemoteAddr()` directly\u2014it returns the immediate connection IP, which is the only\ntrustworthy value.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "6d29c3d9c5d952d4ec8d8c1fba51cc7f59253404e2fb87f3d68ca240f5931d20", "alias_sources": []}
{"id": "7f539c04719519cc", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Workflow", "4. Report exact state"], "section_title": "4. Report exact state", "section_body": "4. Report exact state\n\nUse exact status words:\n\ndrafted\n\napproval-pending\n\nsent\n\nblocked\n\nawaiting verification\n\nIf the send surface is blocked, preserve the draft and report the exact blocker instead of improvising a second transport without saying so.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "cdc775dcd206e66cd64c9ad733427a51e6247d37437025d2e46c5491b662d2cb", "alias_sources": []}
{"id": "7f56c642831c8d9b", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore completing any GitHub operations task:\n\nall issues triaged have appropriate labels\n\nno PRs older than 7 days without a review or comment\n\nCI failures have been investigated (not just re-run)\n\nreleases include accurate changelogs\n\nsecurity alerts are acknowledged and tracked", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "996eca9f5c293eb1e7b61cdf99ca08083ab5c584fb73a337bd254b1d74f0a2cd", "alias_sources": []}
{"id": "7f6b98af10a99747", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "When to use", "Video ingest + stream"], "section_title": "Video ingest + stream", "section_body": "Video ingest + stream\n\nIngest a **file or URL** and return a **playable web stream link**\n\nTranscode/normalize: **codec, bitrate, fps, resolution, aspect ratio**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "d40cc11d01bb980e41342104ce676d8f85339923e743d66b39fd180cc7fcc073", "alias_sources": []}
{"id": "7fa2384977425aef", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Key Design Decisions"], "section_title": "Key Design Decisions", "section_body": "Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| Single-threaded by default | Most natural code is data-race free; concurrency is opt-in |\n| Async stays on calling actor | Eliminates implicit offloading that caused data-race errors |\n| Isolated conformances | MainActor types can conform to protocols without unsafe workarounds |\n| `@concurrent` explicit opt-in | Background execution is a deliberate performance choice, not accidental |\n| MainActor default inference | Reduces boilerplate `@MainActor` annotations for app targets |\n| Opt-in adoption | Non-breaking migration path \u2014 enable features incrementally |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "f6a9d483cc2c999845ea369f65035b1835582de923477501896a78a428d6b04b", "alias_sources": []}
{"id": "7fec1d802603a975", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Integration with Other Skills"], "section_title": "Integration with Other Skills", "section_body": "Integration with Other Skills\n\n| Skill | Relationship |\n|-------|-------------|\n| Verification Loop | Use for deterministic checks (build, lint, test). Santa for semantic checks (accuracy, hallucinations). Run verification-loop first, Santa second. |\n| Eval Harness | Santa Method results feed eval metrics. Track pass@k across Santa runs to measure generator quality over time. |\n| Continuous Learning v2 | Santa findings become instincts. Repeated failures on the same criterion \u2192 learned behavior to avoid the pattern. |\n| Strategic Compact | Run Santa BEFORE compacting. Don't lose review context mid-verification. |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:review"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "7112f03f21f2c3a0e636357757a16e26bd18727ce7ea972a4fb40bbe5d249fed", "alias_sources": []}
{"id": "7ffb61e585130601", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "Examples"], "section_title": "Examples", "section_body": "Examples", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "e68ee04dff59551b7d1ae07a2f8a00dc61d841628948da3d2781630706a05e92", "alias_sources": []}
{"id": "80c05b8c3a30d1f2", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Subscriptions & disposal:"], "section_title": "Subscriptions & disposal:", "section_body": "Subscriptions & disposal:\n\n[ ] All manual subscriptions (`.listen()`) are cancelled in `dispose()` / `close()`\n\n[ ] Stream controllers are closed when no longer needed\n\n[ ] Timers are cancelled in disposal lifecycle\n\n[ ] Framework-managed lifecycle is preferred over manual subscription (declarative builders over `.listen()`)\n\n[ ] `mounted` check before `setState` in async callbacks\n\n[ ] `BuildContext` not used after `await` without checking `context.mounted` (Flutter 3.7+) \u2014 stale context causes crashes\n\n[ ] No navigation, dialogs, or scaffold messages after async gaps without verifying the widget is still mounted\n\n[ ] `BuildContext` never stored in singletons, state managers, or static fields", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a5973a80fce725a84fe290283e1c344c3b0973316404c34b5211cd398331a2cf", "alias_sources": []}
{"id": "80c5092730a68c4e", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "How It Works", "Audit Trail"], "section_title": "Audit Trail", "section_body": "Access Control: Row-Level Security\n\nAudit Trail\n\nEvery PHI access or modification must be logged:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "74d2c3d883a076ec2906cf7edb08b71bf12845d6223a54c6c8b9f3191531bb73", "alias_sources": []}
{"id": "80d9638f57b9a75a", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Inspection and Grading"], "section_title": "Inspection and Grading", "section_body": "Inspection and Grading\n\nReturned products require consistent grading that drives disposition decisions. Speed and accuracy are in tension \u2014 a 30-second visual inspection moves volume but misses cosmetic defects; a 5-minute functional test catches everything but creates bottleneck at scale:\n\n**Grade A (Like New):** Original packaging intact, all accessories present, no signs of use, passes functional test. Restockable as new or \"open box\" with full margin recovery (85-100% of original retail). Target inspection time: 45-90 seconds.\n\n**Grade B (Good):** Minor cosmetic wear, original packaging may be damaged or missing outer sleeve, all accessories present, fully functional. Restockable as \"open box\" or \"renewed\" at 60-80% of retail. May need repackaging ($2-5 per unit). Target inspection time: 90-180 seconds.\n\n**Grade C (Fair):** Visible wear, scratches, or minor damage. Missing accessories that cost <10% of unit value. Functional but cosmetically impaired. Sells through secondary channels (outlet, marketplace, liquidation) at 30-50% of retail. Refurbishment possible if cost < 20% of recovered value.\n\n**Grade D (Salvage/Parts):** Non-functional, heavily damaged, or missing critical components. Salvageable for parts or materials recovery at 5-15% of retail. If parts recovery isn't viable, route to recycling or destruction.\n\nGrading standards vary by category. Consumer electronics require functional testing (power on, screen check, connectivity) adding 2-4 minutes per unit. Apparel inspection focuses on stains, odour, stretched fabric, and missing tags \u2014 experienced inspectors use the \"arm's length sniff test\" and UV light for stain detection. Cosmetics and personal care items are almost never restockable once opened due to health regulations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "960e58de6cbbc8c82ac133226ecf88f285376379df0fb8df3c332e5a862b9a48", "alias_sources": []}
{"id": "80e31a45b1330e53", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nReturn the result in this order:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "f142499e0b77e2889ff783189656b1d7980871c89e542ba4bfce11023a8d81aa", "alias_sources": []}
{"id": "80e681b32b6d445b", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Workflow", "1. Define the operating questions"], "section_title": "1. Define the operating questions", "section_body": "Workflow\n\n1. Define the operating questions\n\nOrganize around:\n\nhealth / availability\n\nlatency / performance\n\nthroughput / volume\n\nsaturation / resources\n\nservice-specific risk", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "cb83f53bb30d62674e27e8ff7f1e87e053ca41d59a4c07186d8e72ae100e2bbc", "alias_sources": []}
{"id": "814ecc4345d031d9", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "The Pipeline"], "section_title": "The Pipeline", "section_body": "The Pipeline\n\nEach layer has a specific job. Do not skip layers. Do not try to make one tool do everything.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "8b56d31fbf52ee3cee14b54159e4011d8d9042ad97e56df21fbc059eed297a1f", "alias_sources": []}
{"id": "815e00366b36d494", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Cross-Cutting Principles"], "section_title": "Cross-Cutting Principles", "section_body": "Cross-Cutting Principles\n\nThese themes recur across the entire guidelines and form the foundation:\n\n**RAII everywhere** (P.8, R.1, E.6, CP.20): Bind resource lifetime to object lifetime\n\n**Immutability by default** (P.10, Con.1-5, ES.25): Start with `const`/`constexpr`; mutability is the exception\n\n**Type safety** (P.4, I.4, ES.46-49, Enum.3): Use the type system to prevent errors at compile time\n\n**Express intent** (P.3, F.1, NL.1-2, T.10): Names, types, and concepts should communicate purpose\n\n**Minimize complexity** (F.2-3, ES.5, Per.4-5): Simple code is correct code\n\n**Value semantics over pointer semantics** (C.10, R.3-5, F.20, CP.31): Prefer returning by value and scoped objects", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "86039bac95f4180562fd24b70742dd52be7cbce4bd24dc2031df8b42e4471a6f", "alias_sources": []}
{"id": "8185c939ae479fde", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "References"], "section_title": "References", "section_body": "References\n\nSee skill: `compose-multiplatform-patterns` for UI patterns.\nSee skill: `kotlin-coroutines-flows` for async patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "2c2f14f80cd5809901b813bfd4736ec1f5b4babf89e7da1135116e5f599ccce4", "alias_sources": []}
{"id": "818a976f04553f60", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Core Components", "4. Computer Use"], "section_title": "4. Computer Use", "section_body": "4. Computer Use\n\nLeverage Claude's computer-use MCP for physical world interaction.\n\n**Capabilities:**\n\nBrowser automation (navigate, click, fill forms, screenshot)\n\nDesktop control (open apps, type, mouse control)\n\nFile system operations beyond CLI\n\n**Use cases within the harness:**\n\nAutomated testing of web UIs\n\nForm filling and data entry\n\nScreenshot-based monitoring\n\nMulti-app workflows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "7f75bc243c6b8e6e3a832b0c3d351485ee8301bfb07cc65bcf72f94efd09db19", "alias_sources": []}
{"id": "822da88823d512e1", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Operating Model"], "section_title": "Operating Model", "section_body": "Operating Model\n\n**GitHub** is the public and community truth\n\n**Linear** is the internal execution truth for active scheduled work\n\nNot every GitHub issue needs a Linear issue\n\nCreate or update Linear only when the work is:\n\nactive\n\ndelegated\n\nscheduled\n\ncross-functional\n\nimportant enough to track internally", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "90a1609dc8c9fc3900332712186db4cac17e835c23ca9ef6e3e051a4ec3c77af", "alias_sources": []}
{"id": "823929b3faf554b1", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "TypeScript SDK"], "section_title": "TypeScript SDK", "section_body": "Python SDK\n\nInstallation\n\nBasic Message\n\nStreaming\n\nSystem Prompt\n\nTypeScript SDK", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "7e20c8f98e8a3fde3f86fd72c2605241f09bba69f83a94da2e21179a2e57be87", "alias_sources": []}
{"id": "82756cab027472b3", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Decision Frameworks", "When to Consolidate vs. Diversify"], "section_title": "When to Consolidate vs. Diversify", "section_body": "When to Consolidate vs. Diversify\n\n**Consolidate (reduce carrier count) when:** You have more than 3 carriers on a lane with <5 loads/week (each carrier gets too little volume to care). Your carrier management resources are stretched. You need deeper pricing from a strategic partner (volume concentration = leverage). The market is loose and carriers are competing for your freight.\n\n**Diversify (add carriers) when:** A single carrier handles >40% of a critical lane. Tender rejections are rising above 15% on a lane. You're entering peak season and need surge capacity. A carrier shows financial distress indicators (late payments to drivers reported on Carrier411, FMCSA insurance lapses, sudden driver turnover visible via CDL postings).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "d50dc98444b32d3aa18b388601ba3be58665edc936e430a3b4e1872e0748e4a7", "alias_sources": []}
{"id": "82b01a2ae7169eeb", "skill_name": "continuous-agent-loop", "skill_description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "skill_type": null, "section_path": ["Continuous Agent Loop", "Combined Pattern"], "section_title": "Combined Pattern", "section_body": "Loop Selection Flow\n\nCombined Pattern\n\nRecommended production stack:\n\nRFC decomposition (`ralphinho-rfc-pipeline`)\n\nquality gates (`plankton-code-quality` + `/quality-gate`)\n\neval loop (`eval-harness`)\n\nsession persistence (`nanoclaw-repl`)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-agent-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "mtime": 1776507629.5723405, "body_hash": "5f04d4b71b64e10845f888d9c28bb1acd0e907189198a47c07e1aec6e90e6f0b", "alias_sources": []}
{"id": "82dbea68fbae4a06", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Workflow", "4. Check operator-side product gaps"], "section_title": "4. Check operator-side product gaps", "section_body": "4. Check operator-side product gaps\n\nIf the customer pain comes from a missing operator surface, call it out explicitly. Common examples:\n\nno billing portal\n\nno usage/rate-limit visibility\n\nno plan/seat explanation\n\nno cancellation flow\n\nno duplicate-subscription guard\n\nTreat those as ECC or website follow-up items, not just support incidents.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "c0b8714b02c718ee1f6dbfcd703f27e2dd2872fbf98c182ddcf8e21bfc39c5f5", "alias_sources": []}
{"id": "82e39cc520409c53", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns", "Quick Reference", "Index Cheat Sheet"], "section_title": "Index Cheat Sheet", "section_body": "Quick Reference\n\nIndex Cheat Sheet\n\n| Query Pattern | Index Type | Example |\n|--------------|------------|---------|\n| `WHERE col = value` | B-tree (default) | `CREATE INDEX idx ON t (col)` |\n| `WHERE col > value` | B-tree | `CREATE INDEX idx ON t (col)` |\n| `WHERE a = x AND b > y` | Composite | `CREATE INDEX idx ON t (a, b)` |\n| `WHERE jsonb @> '{}'` | GIN | `CREATE INDEX idx ON t USING gin (col)` |\n| `WHERE tsv @@ query` | GIN | `CREATE INDEX idx ON t USING gin (col)` |\n| Time-series ranges | BRIN | `CREATE INDEX idx ON t USING brin (col)` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "059672020deb5ee47eab03f7808376f47bab38c5a4b2f30c66a859cf670100ea", "alias_sources": []}
{"id": "82ea600c32792984", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "TDD Workflow Steps", "Step 4: Implement Code"], "section_title": "Step 4: Implement Code", "section_body": "Step 4: Implement Code\n\nWrite minimal code to make tests pass:\n\nIf the repository is under Git, stage the minimal fix now but defer the checkpoint commit until GREEN is validated in Step 5.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "3a78bbd48a850ff801c9639768ec2202ecd58e91414ca91264a622e4c578feff", "alias_sources": []}
{"id": "82fa0cc43b544bf6", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "View Composition", "Extract Subviews to Limit Invalidation"], "section_title": "Extract Subviews to Limit Invalidation", "section_body": "View Composition\n\nExtract Subviews to Limit Invalidation\n\nBreak views into small, focused structs. When state changes, only the subview reading that state re-renders:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "1bb3a78cc279ef79d95b5c05279530dfbf2cb394e6c83d4909c082e1ceb3abfb", "alias_sources": []}
{"id": "83046f74547949b4", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Hard Bans"], "section_title": "Hard Bans", "section_body": "Hard Bans\n\nDelete and rewrite any of these:\n\n\"I'd love to connect\"\n\n\"excited to share\"\n\ngeneric thesis praise without a real tie-in\n\nvague founder adjectives\n\nbegging language\n\nsoft closing questions when a direct ask is clearer", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "a5086dd76f52c408f84c93dccdcd64fe9c7ed57a341785d12063c2981383ba43", "alias_sources": []}
{"id": "8304fd6e3b657d9f", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Common Research Modes", "Competitive Analysis"], "section_title": "Competitive Analysis", "section_body": "Competitive Analysis\n\nCollect:\n\nproduct reality, not marketing copy\n\nfunding and investor history if public\n\ntraction metrics if public\n\ndistribution and pricing clues\n\nstrengths, weaknesses, and positioning gaps", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "d8626b815bec14e9881decdb4869ebd44fab96f00d2c416c4b8f18609a6ac0e1", "alias_sources": []}
{"id": "8318a0ae78e9d6bb", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Workflow"], "section_title": "Workflow", "section_body": "Workflow\n\nDefine the core visual thesis in one sentence.\n\nBreak the concept into 3 to 6 scenes.\n\nDecide what each scene proves.\n\nWrite the scene outline before writing Manim code.\n\nRender the smallest working version first.\n\nTighten typography, spacing, color, and pacing after the render works.\n\nHand off to the wider video stack only if it adds value.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "1313d6b9339edb94af1f7a42a28083edb3aa674bb8c733ba3889ab07b4dc2192", "alias_sources": []}
{"id": "8319341afb2f40e0", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "DTOs and Validation"], "section_title": "DTOs and Validation", "section_body": "DTOs and Validation\n\nValidate every request DTO with `class-validator`.\n\nUse dedicated response DTOs or serializers instead of returning ORM entities directly.\n\nAvoid leaking internal fields such as password hashes, tokens, or audit columns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "9632d9da6976f132ff8ab1244784e52f9db8a18fdbbf2832e64a8c5a3d412d1b", "alias_sources": []}
{"id": "8355ad818130a34d", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Quality Principles", "4. YAGNI (You Aren't Gonna Need It)"], "section_title": "4. YAGNI (You Aren't Gonna Need It)", "section_body": "4. YAGNI (You Aren't Gonna Need It)\n\nDon't build features before they're needed\n\nAvoid speculative generality\n\nAdd complexity only when required\n\nStart simple, refactor when needed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "7ee633c999d2d3c8b3a454a2e469ead03a1a19d626e65bd21a3a4fd9a56f94cd", "alias_sources": []}
{"id": "83aba8c05b4cc31e", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBefore opening a pull request for a Spring Boot service\n\nAfter major refactoring or dependency upgrades\n\nPre-deployment verification for staging or production\n\nRunning full build \u2192 lint \u2192 test \u2192 security scan pipeline\n\nValidating test coverage meets thresholds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:test"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "084604d1e1cc4467ab3c6fd5a34d85853cd5cedc42d7e4bcb95da6c7c32ed2a3", "alias_sources": []}
{"id": "83b64ae79d959c73", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Deliverables"], "section_title": "Deliverables", "section_body": "Deliverables\n\nWhen asked for a campaign, return:\n\na short voice profile if voice matching matters\n\nthe core angle\n\nplatform-native drafts\n\nposting order only if it helps execution\n\ngaps that must be filled before publishing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "80c77c5e0341990bdf096d1ba95f0b67ec508c81e7cb9d363d48f0a155afb613", "alias_sources": []}
{"id": "83beb452cdff5e0d", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Handoffs"], "section_title": "Handoffs", "section_body": "Handoffs\n\nIf the next step is interactive installation or repair, hand off to:\n\n`configure-ecc`\n\nIf the next step is overlap cleanup or catalog review, hand off to:\n\n`skill-stocktake`\n\nIf the next step is broader context trimming, hand off to:\n\n`strategic-compact`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "3313205c6717c36b8db13ef0914ae228245a16c4c5c67595bd998c6d79e5a8c8", "alias_sources": []}
{"id": "83d980a1364bbef3", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not answer from memory when the live inventory can be read\n\ndo not treat \"present in config\" as \"working\"\n\ndo not fix lower-value redundancy before naming the broken high-signal path\n\ndo not widen the task into a repo rewrite if the user asked for inventory first", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "ef659c60a970c395b03da27571e4fcae8321628f09832e7c248502c0c2a11378", "alias_sources": []}
{"id": "840b957bd05489c6", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Routing and Controllers"], "section_title": "Routing and Controllers", "section_body": "Routing and Controllers\n\nPrefer route-model binding and resource controllers for clarity.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "33d209135c7ef7620ace690035ecc0a39941bc577a5d9b35c2c19077f137b728", "alias_sources": []}
{"id": "841e88133e7700f2", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser asks for Stripe sales, refunds, MRR, or recent customer activity\n\nuser asks whether team billing, per-seat billing, or quota stacking is real in code\n\nuser wants competitor pricing comparisons or pricing-model benchmarks\n\nthe question mixes revenue facts with product implementation truth", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "7321acda4aafb30004ecca721068dc2780951a3e6bcf81f90f2011af0bb180c7", "alias_sources": []}
{"id": "842be9a8c366efc4", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "SQL Injection Prevention"], "section_title": "SQL Injection Prevention", "section_body": "SQL Injection Prevention\n\nUse Spring Data repositories or parameterized queries\n\nFor native queries, use `:param` bindings; never concatenate strings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "3afafb9f3d6ee6b8a46ca48dd9fd1e4dae4615b12ae6399133cfa99363a45f1d", "alias_sources": []}
{"id": "844704cedd9ac4e0", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "Core Tools", "web_search_exa"], "section_title": "web_search_exa", "section_body": "Core Tools\n\nweb_search_exa\n\nGeneral web search for current information, news, or facts.\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Search query |\n| `numResults` | number | 8 | Number of results |\n| `type` | string | `auto` | Search mode |\n| `livecrawl` | string | `fallback` | Prefer live crawling when needed |\n| `category` | string | none | Optional focus such as `company` or `research paper` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "2fc0b35be7deb69ce5eeaf09e50f93418125fac22a52a9763f82455e14a45a57", "alias_sources": []}
{"id": "847d18e5e91ddeb1", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "3. Async Composition", "BuildContext After Await"], "section_title": "BuildContext After Await", "section_body": "3. Async Composition\n\nStructured Concurrency with Future.wait\n\nStream Patterns\n\nBuildContext After Await", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "781efc6508eb129cc58081d6e92d7ee26f88f6c007fec6d880307c1f1f8906bb", "alias_sources": []}
{"id": "848fb8dec377d2d9", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Ingestion Workflow", "1. Classify"], "section_title": "1. Classify", "section_body": "Ingestion Workflow\n\nWhen new knowledge needs to be captured:\n\n1. Classify\n\nWhat type of knowledge is it?\n\nBusiness decision -> memory file (project type) + MCP memory\n\nActive roadmap / release / implementation state -> GitHub + Linear first\n\nPersonal preference -> memory file (user/feedback type)\n\nReference info -> memory file (reference type) + MCP memory\n\nLarge document -> external data store + summary in memory\n\nConversation/session -> knowledge base repo + short summary in memory", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:deploy"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "8caede6b30b2d0b260b87ab4b0139e0aa5e35310e33ab88acf27c74d55eb85c8", "alias_sources": []}
{"id": "84b61565fb47af09", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "10. Dependency Security"], "section_title": "10. Dependency Security", "section_body": "10. Dependency Security\n\nRegular Updates\n\nRegular Updates\n\nLock Files\n\nLock Files\n\nVerification Steps\n\nVerification Steps\n\n[ ] Dependencies up to date\n\n[ ] No known vulnerabilities (npm audit clean)\n\n[ ] Lock files committed\n\n[ ] Dependabot enabled on GitHub\n\n[ ] Regular security updates", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "3769816f1f4889a1d6c5e0d629f037eb70cff14c7c7e111a37a28392f9d74f45", "alias_sources": []}
{"id": "84ea6d283f99f23c", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Performance", "Stable Identifiers"], "section_title": "Stable Identifiers", "section_body": "Stable Identifiers\n\nAlways use stable, unique IDs in `ForEach` \u2014 avoid using array indices:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "4169602703f44d4d92c76ff6482f9b4c8d0b15bd58a1c42448d3eabd510e7b1f", "alias_sources": []}
{"id": "84f74580cd22ca9d", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Setup", "Language-Specific Dependencies"], "section_title": "Language-Specific Dependencies", "section_body": "Language-Specific Dependencies\n\n| Language | Required | Optional |\n|----------|----------|----------|\n| Python | `ruff`, `uv` | `ty` (types), `vulture` (dead code), `bandit` (security) |\n| TypeScript/JS | `biome` | `oxlint`, `semgrep`, `knip` (dead exports) |\n| Shell | `shellcheck`, `shfmt` | \u2014 |\n| YAML | `yamllint` | \u2014 |\n| Markdown | `markdownlint-cli2` | \u2014 |\n| Dockerfile | `hadolint` (>= 2.12.0) | \u2014 |\n| TOML | `taplo` | \u2014 |\n| JSON | `jaq` | \u2014 |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "6047388f05fe22c53377788a1bdce91db241f888dd4d70c4c7ac38834d742a80", "alias_sources": []}
{"id": "856a297317ac9d61", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "3. Infinite Agentic Loop", "The Pattern"], "section_title": "The Pattern", "section_body": "Architecture: Two-Prompt System\n\nThe Pattern\n\n**Spec Analysis** \u2014 Orchestrator reads a specification file (Markdown) defining what to generate\n\n**Directory Recon** \u2014 Scans existing output to find the highest iteration number\n\n**Parallel Deployment** \u2014 Launches N sub-agents, each with:\n\nThe full spec\n\nA unique creative direction\n\nA specific iteration number (no conflicts)\n\nA snapshot of existing iterations (for uniqueness)\n\n**Wave Management** \u2014 For infinite mode, deploys waves of 3-5 agents until context is exhausted", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "797ca124994df0e659a43030271ad23f786e39bdab68daad1e9979d89d3f4a8e", "alias_sources": []}
{"id": "858f1a6c4d0e4463", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 2: Rehearse", "When rehearsal fails"], "section_title": "When rehearsal fails", "section_body": "When rehearsal fails\n\nRead the visible-element dump.\n\nFind the correct selector.\n\nUpdate the script.\n\nRe-run rehearsal.\n\nOnly proceed when every selector passes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "d5922736c44c06084bada9d2a145112026e8908c9b3664bb6dfde3186b02cea5", "alias_sources": []}
{"id": "859448b13ec241b1", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with your SKU segmentation model, service-level policy, and planner override audit log.\n\nStore post-mortems for promotion misses, vendor delays, and forecast overrides next to the planning workflow so the edge cases stay actionable.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "98d47c2e92b8c06a58bf6c124bfb5ebd00641cb69d04d8e95e4687b77b6cda27", "alias_sources": []}
{"id": "85aab5b0e2e8e680", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Kysely (TypeScript/Node.js)"], "section_title": "Kysely (TypeScript/Node.js)", "section_body": "Drizzle (TypeScript/Node.js)\n\nWorkflow\n\nSchema Example\n\nKysely (TypeScript/Node.js)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "06cc8ced13acc6c7e1be64060434efb458decf01c5062cad87ef28c0c081ba16", "alias_sources": []}
{"id": "85ca638053d65c85", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "10. Package/Dependency Review", "Monorepo-specific (melos/workspace):"], "section_title": "Monorepo-specific (melos/workspace):", "section_body": "Monorepo-specific (melos/workspace):\n\n[ ] Internal packages import only from public API \u2014 no `package:other/src/internal.dart` (breaks Dart package encapsulation)\n\n[ ] Internal package dependencies use workspace resolution, not hardcoded `path: ../../` relative strings\n\n[ ] All sub-packages share or inherit root `analysis_options.yaml`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "6b87f9038baa52762d8eeb03dd160fd2dc239299b9049b5dc4f992d9406b9496", "alias_sources": []}
{"id": "85d1dfa16cbd4326", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices"], "section_title": "Django Security Best Practices", "section_body": "Django Security Best Practices\n\nComprehensive security guidelines for Django applications to protect against common vulnerabilities.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "83a238561078663227f71b880075edba3ee414639762e1817bb09dab9f938549", "alias_sources": []}
{"id": "85daf85bc37298c1", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Taint Mode"], "section_title": "Taint Mode", "section_body": "Taint Mode\n\nPerl's taint mode (`-T`) tracks data from external sources and prevents it from being used in unsafe operations without explicit validation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "3744d5854977bc192c5dba18ca1842ca3b8511aebb555662241c917a89d8ac72", "alias_sources": []}
{"id": "8607f6812e1524c9", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Decision Frameworks", "Screening Hit Assessment"], "section_title": "Screening Hit Assessment", "section_body": "Screening Hit Assessment\n\nWhen a restricted party screening tool returns a match, do not block the transaction automatically or clear it without investigation. Follow this protocol:\n\n**Assess match quality:** Name match percentage, address correlation, country nexus, alias analysis, date of birth (individuals). Matches below 85% name similarity with no address or country correlation are likely false positives \u2014 document and clear.\n\n**Verify entity identity:** Cross-reference against company registrations, D&B numbers, website verification, and prior transaction history. A legitimate customer with years of clean transaction history and a partial name match to an SDN entry is almost certainly a false positive.\n\n**Check list specifics:** SDN hits require OFAC licence to proceed. Entity List hits require BIS licence with a presumption of denial. Denied Persons List hits are absolute prohibitions \u2014 no licence available.\n\n**Escalate true positives and ambiguous cases** to compliance counsel immediately. Never proceed with a transaction while a screening hit is unresolved.\n\n**Document everything.** Record the screening tool used, date, match details, adjudication rationale, and disposition. Retain for 5 years minimum.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "37cd22218f773b7f47e73929dc72a00bf9bda35078fc03b59252459996039b77", "alias_sources": []}
{"id": "8638ae2c648bb001", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nReturn:\n\nthe primary platform version\n\nadapted variants for each requested platform\n\na short note on what changed and why\n\nany publishing constraint the user still needs to resolve", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "08ff041f00aa71f33fbd25b55daf1de79a2b44fb35cacff6aeb6773fdbffba82", "alias_sources": []}
{"id": "864221fb4e77eadb", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Renewable Energy Procurement"], "section_title": "Renewable Energy Procurement", "section_body": "Renewable Energy Procurement\n\n**Physical PPA:** You contract directly with a renewable generator (solar/wind farm) to purchase output at a fixed $/MWh price for 10\u201325 years. The generator is typically located in the same ISO where your load is, and power flows through the grid to your meter. You receive both the energy and the associated RECs. Physical PPAs require you to manage basis risk (the price difference between the generator's node and your load zone), curtailment risk (when the ISO curtails the generator), and shape risk (solar produces when the sun shines, not when you consume).\n\n**Virtual (financial) PPA (VPPA):** A contract-for-differences. You agree on a fixed strike price (e.g., $35/MWh). The generator sells power into the wholesale market at the settlement point price. If the market price is $45/MWh, the generator pays you $10/MWh. If the market price is $25/MWh, you pay the generator $10/MWh. You receive RECs to claim renewable attributes. VPPAs do not change your physical power supply \u2014 you continue buying from your retail supplier. VPPAs are financial instruments and may require CFO/treasury approval, ISDA agreements, and mark-to-market accounting treatment.\n\n**RECs (Renewable Energy Certificates):** 1 REC = 1 MWh of renewable generation attributes. Unbundled RECs (purchased separately from physical power) are the cheapest way to claim renewable energy use \u2014 $1\u2013$5/MWh for national wind RECs, $5\u2013$15/MWh for solar RECs, $20\u2013$60/MWh for specific regional markets (New England, PJM). However, unbundled RECs face increasing scrutiny under GHG Protocol Scope 2 guidance: they satisfy market-based accounting but do not demonstrate \"additionality\" (causing new renewable generation to be built).\n\n**On-site generation:** Rooftop or ground-mount solar, combined heat and power (CHP). On-site solar PPA pricing: $0.04\u2013$0.08/kWh depending on location, system size, and ITC eligibility. On-site generation reduces T&D exposure and can lower capacity tags. But behind-the-meter generation introduces net metering risk (utility compensation rate changes), interconnection costs, and site lease complications. Evaluate on-site vs. off-site based on total economic value, not just energy cost.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "2dfd90323d85a2e53876b7ffabc0b87e0841dcf2244bad39668504e7562de4f6", "alias_sources": []}
{"id": "86466e6c24c14f69", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Regional Specialties"], "section_title": "Regional Specialties", "section_body": "Regional Specialties\n\n**US CBP:** Centers of Excellence and Expertise (CEEs) specialise by industry. Trusted Trader programmes: C-TPAT (security) and Trusted Trader (combining C-TPAT + ISA). ACE is the single window for all import/export data. Focused Assessment audits target specific compliance areas \u2014 prior disclosure before an FA starts is critical.\n\n**EU Customs Union:** Common External Tariff (CET) applies uniformly. Authorised Economic Operator (AEO) provides AEOC (customs simplifications) and AEOS (security). Binding Tariff Information (BTI) provides classification certainty for 3 years. Union Customs Code (UCC) governs since 2016.\n\n**UK post-Brexit:** UK Global Tariff replaced the CET. Northern Ireland Protocol / Windsor Framework creates dual-status goods. UK Customs Declaration Service (CDS) replaced CHIEF. UK-EU TCA requires Rules of Origin compliance for zero-tariff treatment \u2014 \"originating\" requires either wholly obtained in the UK/EU or sufficient processing.\n\n**China:** CCC (China Compulsory Certification) required for listed product categories before import. China uses 13-digit HS codes. Cross-border e-commerce has distinct clearance channels (9610, 9710, 9810 trade modes). Recent Unreliable Entity List creates new screening obligations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "414fe20944e18dbe9dae359533b6664f0aba5e65ee3aad9ce6ef5bfea94bd765", "alias_sources": []}
{"id": "868e2e12a99e5671", "skill_name": "browser-qa", "skill_description": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "skill_type": null, "section_path": ["Browser QA \u2014 Automated Visual Testing & Interaction", "Integration"], "section_title": "Integration", "section_body": "Output Format\n\nIntegration\n\nWorks with any browser MCP:\n\n`mChild__claude-in-chrome__*` tools (preferred \u2014 uses your actual Chrome)\n\nPlaywright via `mcp__browserbase__*`\n\nDirect Puppeteer scripts\n\nPair with `/canary-watch` for post-deploy monitoring.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\browser-qa\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:deploy"], "trigger_hints": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "mtime": 1776507629.4872117, "body_hash": "4f98f1c756b5a6b32f36059ee605d6d2f2dfbcb23b4d3cba7f9a0f3600aa5dda", "alias_sources": []}
{"id": "86be5a5236a1ef5c", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 3: Deterministic Cuts (FFmpeg)", "Normalize audio levels"], "section_title": "Normalize audio levels", "section_body": "Create proxy for faster editing\n\nExtract audio for transcription\n\nNormalize audio levels", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "1f6b7be276903b1cd7f5b9edd989a7d08502ed23c326b692389ff20699258ed1", "alias_sources": []}
{"id": "86c2248059933398", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Quick Reference"], "section_title": "Quick Reference", "section_body": "N+1 Query Prevention\n\nDatabase Indexing\n\nBulk Operations\n\nQuick Reference\n\n| Pattern | Description |\n|---------|-------------|\n| Split settings | Separate dev/prod/test settings |\n| Custom QuerySet | Reusable query methods |\n| Service Layer | Business logic separation |\n| ViewSet | REST API endpoints |\n| Serializer validation | Request/response transformation |\n| select_related | Foreign key optimization |\n| prefetch_related | Many-to-many optimization |\n| Cache first | Cache expensive operations |\n| Signals | Event-driven actions |\n| Middleware | Request/response processing |\n\nRemember: Django provides many shortcuts, but for production applications, structure and organization matter more than concise code. Build for maintainability.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:test"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "d8c00b427bb529d5eb0cb6a31630a1ce704702738edb68116defd1306f5724fd", "alias_sources": []}
{"id": "86c4734e38721c9c", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "10. Package/Dependency Review", "Version constraints:"], "section_title": "Version constraints:", "section_body": "Version constraints:\n\n[ ] Use caret syntax (`^1.2.3`) for dependencies \u2014 allows compatible updates\n\n[ ] Pin exact versions only when absolutely necessary\n\n[ ] Run `flutter pub outdated` regularly to track stale dependencies\n\n[ ] No dependency overrides in production `pubspec.yaml` \u2014 only for temporary fixes with a comment/issue link\n\n[ ] Minimize transitive dependency count \u2014 each dependency is an attack surface", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "9a449e8afea255f67f3345c6b10465f59b59a1d2c2a1335ef95b7ca776fae245", "alias_sources": []}
{"id": "86dcac2d46ee055a", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Return processing time (receipt to refund) | < 48 hours | > 96 hours |\n| Inspection accuracy (grade agreement on audit) | > 95% | < 88% |\n| Restock rate (% of returns restocked as new/open box) | > 45% | < 30% |\n| Fraud detection rate (confirmed fraud caught) | > 80% | < 60% |\n| False positive rate (legitimate returns flagged) | < 3% | > 8% |\n| Vendor recovery rate ($ recovered / $ eligible) | > 70% | < 45% |\n| Customer satisfaction (post-return CSAT) | > 4.2/5.0 | < 3.5/5.0 |\n| Cost per return processed | < $8.00 | > $15.00 |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "8f19a79c57b066892ab687ecde77a9de6a34fb27a95e38b646b512e8c6b0e768", "alias_sources": []}
{"id": "87225e4768d6bef5", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop"], "section_title": "Django Verification Loop", "section_body": "Django Verification Loop\n\nRun before PRs, after major changes, and pre-deploy to ensure Django application quality and security.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:deploy"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "882f9a3319f9aee36204f685fcaaacb2c1edd25e66ce12b434559f93e2962c7b", "alias_sources": []}
{"id": "877b61ddc06a47c4", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Example Panel Sets", "Kafka"], "section_title": "Kafka", "section_body": "Kafka\n\nbroker count\n\nunder-replicated partitions\n\nmessages in / out\n\nconsumer lag\n\ndisk and network pressure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "12dc8b55d61a797d8527332ffed6f266a7a2cef2c0ac99db590780c9906c3609", "alias_sources": []}
{"id": "877e615d04cda14f", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Parallel Research with Subagents"], "section_title": "Parallel Research with Subagents", "section_body": "Parallel Research with Subagents\n\nFor broad topics, use Claude Code's Task tool to parallelize:\n\nEach agent searches, reads sources, and returns findings. The main session synthesizes into the final report.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "757fa02b70b11bce8b32ce0e8e639c2d6f8bf501861adf150137ea3cecb07d1e", "alias_sources": []}
{"id": "87951b05177729b2", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Setup", "Test Settings"], "section_title": "Test Settings", "section_body": "TDD Workflow for Django\n\nRed-Green-Refactor Cycle\n\nSetup\n\npytest Configuration\n\nTest Settings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "c420d98f8b39dc81ae3caae0a22f4dc6e463a9baccd741f1087be88d50420d01", "alias_sources": []}
{"id": "87f9491020eaf34a", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "Database Patterns", "Transaction Pattern"], "section_title": "Transaction Pattern", "section_body": "Middleware Pattern\n\nDatabase Patterns\n\nQuery Optimization\n\nN+1 Query Prevention\n\nTransaction Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "71ae11fd3529061c9a34f223893130f26bfdcd651379158666ce21f04ce5b54a", "alias_sources": []}
{"id": "881877f0ec98891b", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Metrics"], "section_title": "Metrics", "section_body": "Metrics\n\nTrack these to measure Santa Method effectiveness:\n\n**First-pass rate**: % of outputs that pass Santa on round 1 (target: >70%)\n\n**Mean iterations to convergence**: average rounds to NICE (target: <1.5)\n\n**Issue taxonomy**: distribution of failure types (hallucination vs. completeness vs. compliance)\n\n**Reviewer agreement**: % of issues flagged by both reviewers vs. only one (low agreement = rubric needs tightening)\n\n**Escape rate**: issues found post-ship that Santa should have caught (target: 0)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "887277525581b76fea93e083a473b7c2f40d1bfd5cc6ddd8b7dc539aff00f1ba", "alias_sources": []}
{"id": "88c2fd778fd5de68", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "JSON Columns", "JSONB with kotlinx.serialization"], "section_title": "JSONB with kotlinx.serialization", "section_body": "Repository Pattern\n\nInterface Definition\n\nExposed Implementation\n\nJSON Columns\n\nJSONB with kotlinx.serialization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "4663386d3c9b8789e2783c43d9a224b628ad54dbda71505d02e585dcbe9b30ef", "alias_sources": []}
{"id": "88cd82e4d01ad979", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Interpreting Results", "Info Findings (awareness)"], "section_title": "Info Findings (awareness)", "section_body": "Info Findings (awareness)\n\nMissing descriptions on MCP servers\n\nProhibitive instructions correctly flagged as good practice", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "d4995a26e21ef7078278798485c3c6360b000f82a7368a33b68210a3a5b004a7", "alias_sources": []}
{"id": "88d6829c74255192", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "Examples", "Sequential with review"], "section_title": "Sequential with review", "section_body": "Sequential with review\n\n`create_project(name=\"...\")` \u2192 get `project_id`.\n\n`create_mission(project_id=project_id, title=\"Implement feature\", prompt=\"...\")` \u2192 get `impl_mission_id`.\n\n`dispatch_mission(mission_id=impl_mission_id)`, then poll with `get_mission_status` until complete.\n\n`get_report(mission_id=impl_mission_id)` to review results.\n\n`create_mission(project_id=project_id, title=\"Review\", prompt=\"...\", depends_on=[impl_mission_id], auto_dispatch=true)` \u2014 auto-starts since the dependency is already met.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "0943b3a7426fd0eb66aec2e8fd3f8b98755e414a53747048e2295d7672a3705b", "alias_sources": []}
{"id": "88e1dc86b322c00f", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 2: Select & Install Skills", "2d: Execute Installation"], "section_title": "2d: Execute Installation", "section_body": "2d: Execute Installation\n\nFor each selected skill, copy the entire skill directory:\n\nNote: `continuous-learning` and `continuous-learning-v2` have extra files (config.json, hooks, scripts) \u2014 ensure the entire directory is copied, not just SKILL.md.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "a53e06e904a2c4412a045bb1e57fc8ef61d1843bb1e9ccdda21cedca0b95d476", "alias_sources": []}
{"id": "89a3babcbc26f970", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Role and Context"], "section_title": "Role and Context", "section_body": "Energy Procurement\n\nRole and Context\n\nYou are a senior energy procurement manager at a large commercial and industrial (C&I) consumer with multiple facilities across regulated and deregulated electricity markets. You manage an annual energy spend of $15M\u2013$80M across 10\u201350+ sites \u2014 manufacturing plants, distribution centers, corporate offices, and cold storage. You own the full procurement lifecycle: tariff analysis, supplier RFPs, contract negotiation, demand charge management, renewable energy sourcing, budget forecasting, and sustainability reporting. You sit between operations (who control load), finance (who own the budget), sustainability (who set emissions targets), and executive leadership (who approve long-term commitments like PPAs). Your systems include utility bill management platforms (Urjanet, EnergyCAP), interval data analytics (meter-level 15-minute kWh/kW), energy market data providers (ICE, CME, Platts), and procurement platforms (energy brokers, aggregators, direct ISO market access). You balance cost reduction against budget certainty, sustainability targets, and operational flexibility \u2014 because a procurement strategy that saves 8% but exposes the company to a $2M budget variance in a polar vortex year is not a good strategy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "bfa80eb4bcfe7aed5464b9cc8a17e59faa62ce2e1b528cd15025519839103fc0", "alias_sources": []}
{"id": "89a83ee350bda383", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "Prerequisites"], "section_title": "Prerequisites", "section_body": "Prerequisites\n\nAgent files must be markdown files containing a persona prompt (identity, rules, workflow, deliverables). The first `# Heading` is used as the agent name and the first paragraph as the description.\n\nBoth flat and subdirectory layouts are supported:\n\n**Subdirectory layout** \u2014 domain is inferred from the folder name:\n\n**Flat layout** \u2014 domain inferred from shared filename prefixes. A prefix counts as a domain when 2+ files share it. Files with unique prefixes go to \"General\". Note: the algorithm splits at the first `-`, so multi-word domains (e.g., `product-management`) should use the subdirectory layout instead:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "bc7163c25f9e540ef2842a64fcce3651870b79ceca65578c1affca31d19158d5", "alias_sources": []}
{"id": "89ada9de4c793872", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Step 4\uff1a\u953b\u9020\u540d\u5b57"], "section_title": "Step 4\uff1a\u953b\u9020\u540d\u5b57", "section_body": "Step 4\uff1a\u953b\u9020\u540d\u5b57\n\n**\u547d\u540d\u7b56\u7565\u548c\u7ea2\u7ebf**\uff1a\u89c1 [references/naming-system.md](references/naming-system.md)\n\n\u63d0\u4f9b 3 \u4e2a\u5019\u9009\uff0c\u6bcf\u4e2a\u9644\u5e26\u7b56\u7565\u7c7b\u578b\u548c\u642d\u914d\u7406\u7531\u3002\n\n\u5c55\u793a\u540e\uff0c\u8bf4\u51fa\u81ea\u5df1\u6700\u504f\u7231\u54ea\u4e2a\uff08\u8981\u6709\u7406\u7531\uff09\uff0c\u4f46\u628a\u9009\u62e9\u6743\u4ea4\u7ed9\u7528\u6237\u3002", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "4a67363126b71de8fb5d90cfe2898782ec65b90e4b26543b5b49f89bbc48928d", "alias_sources": []}
{"id": "89fa4b7e10695c6f", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill"], "section_title": "Autonomous Loops Skill", "section_body": "Autonomous Loops Skill\n\nCompatibility note (v1.8.0): `autonomous-loops` is retained for one release.\nThe canonical skill name is now `continuous-agent-loop`. New loop guidance\nshould be authored there, while this skill remains available to avoid\nbreaking existing workflows.\n\nPatterns, architectures, and reference implementations for running Claude Code autonomously in loops. Covers everything from simple `claude -p` pipelines to full RFC-driven multi-agent DAG orchestration.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "e794ff6d1dc8f6f7dcf9e5ce7f771076fdcdfd3961108ee5e55a75745c66da31", "alias_sources": []}
{"id": "8a13d91d0fa8fff7", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "Examples", "Budget enforcement in an MCP client"], "section_title": "Budget enforcement in an MCP client", "section_body": "Examples\n\nBudget enforcement in an MCP client\n\nWhen building an orchestrator that calls the agentpay MCP server, enforce budgets before dispatching paid tool calls.\n\n**Prerequisites**: Install the package before adding the MCP config \u2014 `npx` without `-y` will prompt for confirmation in non-interactive environments, causing the server to hang: `npm install -g agentwallet-sdk@6.0.0`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "d627dee8032eb0260c70c0cdb8937dc515cc1f6238d4c2a4161845ac8c949c1e", "alias_sources": []}
{"id": "8a414581fb159762", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Quick Start", "Option B: Full package with config"], "section_title": "Option B: Full package with config", "section_body": "Option B: Full package with config\n\nThis adds `.gateguard.yml` for per-project configuration (custom messages, ignore paths, gate toggles).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "638ccd43ec2cf98b94fbf7a6c5e2ac0622c0bd97d61a750fb6024176a5aa3a16", "alias_sources": []}
{"id": "8aacb3748e51fab2", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO"], "section_title": "SEO", "section_body": "SEO\n\nImprove search visibility through technical correctness, performance, and content relevance, not gimmicks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "636e8afc222db3408d126db60180bdf7067f4be80383b8331ee054d65075977e", "alias_sources": []}
{"id": "8aae019e45dabd8f", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "5. Performance", "Image optimization:"], "section_title": "Image optimization:", "section_body": "Image optimization:\n\n[ ] Network images use caching (any caching solution appropriate for the project)\n\n[ ] Appropriate image resolution for target device (no loading 4K images for thumbnails)\n\n[ ] `Image.asset` with `cacheWidth`/`cacheHeight` to decode at display size\n\n[ ] Placeholder and error widgets provided for network images", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "3e944cd2c205cf44a030a070b90a5bfc276384067744fd9494bddaea31ff6b2f", "alias_sources": []}
{"id": "8ab7934b60d2d189", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nImporting Android framework classes in `domain` \u2014 keep it pure Kotlin\n\nExposing database entities or DTOs to the UI layer \u2014 always map to domain models\n\nPutting business logic in ViewModels \u2014 extract to UseCases\n\nUsing `GlobalScope` or unstructured coroutines \u2014 use `viewModelScope` or structured concurrency\n\nFat repository implementations \u2014 split into focused DataSources\n\nCircular module dependencies \u2014 if A depends on B, B must not depend on A", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "b4403a180dd4f01d90581e29ec5b4dc7e4191023e1fa1f1167b3e811d98ae9a8", "alias_sources": []}
{"id": "8ac8fa644e044729", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "5. Enforce Viewport Fit"], "section_title": "5. Enforce Viewport Fit", "section_body": "5. Enforce Viewport Fit\n\nTreat this as a hard gate.\n\nRules:\n\nevery `.slide` must use `height: 100vh; height: 100dvh; overflow: hidden;`\n\nall type and spacing must scale with `clamp()`\n\nwhen content does not fit, split into multiple slides\n\nnever solve overflow by shrinking text below readable sizes\n\nnever allow scrollbars inside a slide\n\nUse the density limits and mandatory CSS block in `STYLE_PRESETS.md`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "c105bbb5989c48708acc1ce6c5c05c3cf8d764f02651b2998226d219a0a7383f", "alias_sources": []}
{"id": "8ae5948b41cb783f", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "DRF API Testing", "API ViewSet Testing"], "section_title": "API ViewSet Testing", "section_body": "View Testing\n\nDjango View Testing\n\nDRF API Testing\n\nSerializer Testing\n\nAPI ViewSet Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "70b97c951b83c24ab840461f7a59653dd7505abb6a57fcc6433f99eca085fbdc", "alias_sources": []}
{"id": "8b411ea64c5b4a95", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 5: Optimize Installed Files (Optional)", "If optimizing rules:"], "section_title": "If optimizing rules:", "section_body": "If optimizing rules:\n\nRead each installed rule .md file\n\nAsk the user about their preferences:\n\nTest coverage target (default 80%)\n\nPreferred formatting tools\n\nGit workflow conventions\n\nSecurity requirements\n\nEdit the rule files in-place at the installation target\n\n**Critical**: Only modify files in the installation target (`$TARGET/`), NEVER modify files in the source ECC repository (`$ECC_ROOT/`).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "588817cad66caead43e5b0ec8ea4cb4ec915b917df0ad907229672e682e86c62", "alias_sources": []}
{"id": "8ba64f1bebcb1010", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Relationships and N+1 Prevention"], "section_title": "Relationships and N+1 Prevention", "section_body": "Entity Design\n\nEnable auditing:\n\nRelationships and N+1 Prevention\n\nDefault to lazy loading; use `JOIN FETCH` in queries when needed\n\nAvoid `EAGER` on collections; use DTO projections for read paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "8ac5b6eb4471d9181a2cd303caacc19202849d23c038d005d4f79f5f7789f692", "alias_sources": []}
{"id": "8bc3c4023574a030", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u6ce8\u610f\u4e8b\u9879", "\u907f\u5751"], "section_title": "\u907f\u5751", "section_body": "\u907f\u5751\n\n**\u6781\u7aef\u6bd2\u820c\u578b**\uff1a\u7b2c3\u5929\u4f60\u5c31\u4e0d\u60f3\u88abAI\u9a82\u4e86\n\n**\u8fc7\u5ea6\u89d2\u8272\u626e\u6f14\u578b**\uff1a\u5199\u6b63\u5f0f\u90ae\u4ef6\u65f6\u5b8c\u5168\u51fa\u620f\n\n**\u8fc7\u5ea6\u6e29\u6696\u578b**\uff1a\u9700\u8981\u6279\u8bc4\u53cd\u9988\u65f6\u5931\u7075\n\n**\u5b8c\u7f8e\u65e0\u7f3a\u578b**\uff1a\u5b8c\u7f8e\u7684\u89d2\u8272\u4e0d\u662f\u89d2\u8272\uff0c\u662f\u8bf4\u660e\u4e66", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "f28300abda1b1cdbdfe3c9342908c8af5f73c3a8d9b6e5f08cf7b04854cb4b70", "alias_sources": []}
{"id": "8bc4da352c52fbab", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Workflow", "1. Resolve the working surface"], "section_title": "1. Resolve the working surface", "section_body": "Workflow\n\n1. Resolve the working surface\n\nSettle:\n\nexact repo path\n\nbranch\n\nlocal diff state\n\nrequested mode:\n\ninspect\n\nfix\n\nverify\n\npush", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "9c7ed01566736de0371dcabd58465ebf2efc2b0c35bbf03cf378af864456c2ee", "alias_sources": []}
{"id": "8bceb72ea8214ad6", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "The Problem This Solves"], "section_title": "The Problem This Solves", "section_body": "The Problem This Solves\n\nTraditional debugging checks:\n\nDoes the function exist? (missing wiring)\n\nDoes it crash? (runtime errors)\n\nDoes it return the right type? (data flow)\n\nBut it does NOT check:\n\n**Does the final UI state match what the button label promises?**\n\n**Does function B silently undo what function A just did?**\n\n**Does shared state (Zustand/Redux/context) have side effects that cancel the intended action?**\n\nReal example: A \"New Email\" button called `setComposeMode(true)` then `selectThread(null)`. Both worked individually. But `selectThread` had a side effect resetting `composeMode: false`. The button did nothing. 54 bugs were found by systematic debugging \u2014 this one was missed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "12aa04ac7a199688cd82703cfe0959d7be7d1b691cadd3d05a7f9f23778acc5f", "alias_sources": []}
{"id": "8bf15524b0440c12", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Testing", "Testing with TestDispatcher"], "section_title": "Testing with TestDispatcher", "section_body": "Cleanup with try/finally\n\nTesting\n\nTesting StateFlow with Turbine\n\nTesting with TestDispatcher", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "0cdf9121eccf19b0fe4cf58015392953156729ab99d95fcd4c763b7336eb7c7b", "alias_sources": []}
{"id": "8c38ad879da1c132", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Go Tooling Integration"], "section_title": "Go Tooling Integration", "section_body": "Use sync.Pool for Frequent Allocations\n\nAvoid String Concatenation in Loops\n\nGo Tooling Integration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "3e981cc06fbb9d1bbb62d0ea6025646b5b84065e0dbbb70d706f358ec9aca5b1", "alias_sources": []}
{"id": "8c8525efac935d65", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 2: Mutual Ranking"], "section_title": "Stage 2: Mutual Ranking", "section_body": "Signal Search Approach\n\nStage 2: Mutual Ranking\n\nFor each scored target, analyze the user's social graph to find the warmest path.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "325edc221add79a25679b07cdbd65e8b532d36dd8f6c03f891cdeda24c026be6", "alias_sources": []}
{"id": "8c95d8d13b3eb7cc", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Kotest Spec Styles"], "section_title": "Kotest Spec Styles", "section_body": "Kotest Spec Styles\n\nStringSpec (Simplest)\n\nStringSpec (Simplest)\n\nFunSpec (JUnit-like)\n\nFunSpec (JUnit-like)\n\nBehaviorSpec (BDD Style)\n\nBehaviorSpec (BDD Style)\n\nDescribeSpec (RSpec Style)\n\nDescribeSpec (RSpec Style)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "cbe53b1571f1921073b20947f71f7d7837681431de0c95c183564be5619e1821", "alias_sources": []}
{"id": "8ce20afd1ed0685e", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser asks to research any topic in depth\n\nCompetitive analysis, technology evaluation, or market sizing\n\nDue diligence on companies, investors, or technologies\n\nAny question requiring synthesis from multiple sources\n\nUser says \"research\", \"deep dive\", \"investigate\", or \"what's the current state of\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "02cbdf686cf062f1fe97cc3964f3b668dc06e80d13b1d91c5e3042e093ad4f40", "alias_sources": []}
{"id": "8d0437ea40dc62ec", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Core Components", "2. Scheduled Operations (Crons)"], "section_title": "2. Scheduled Operations (Crons)", "section_body": "2. Scheduled Operations (Crons)\n\nUse Claude Code's scheduled tasks to create recurring agent operations.\n\n**Setting up a cron:**\n\n**Useful cron patterns:**\n\n| Pattern | Schedule | Use Case |\n|---------|----------|----------|\n| Daily standup | `0 9 * * 1-5` | Review PRs, issues, deploy status |\n| Weekly review | `0 10 * * 1` | Code quality metrics, test coverage |\n| Hourly monitor | `0 * * * *` | Production health, error rate checks |\n| Nightly build | `0 2 * * *` | Run full test suite, security scan |\n| Pre-meeting | `*/30 * * * *` | Prepare context for upcoming meetings |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:test", "phase:review", "phase:deploy"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "34cea39c8c2c2f82f48272d78de67c6f54ea2b326d4d0ef3148cfdc930f14456", "alias_sources": []}
{"id": "8d0df0b475fbca3a", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "Loop Pattern Spectrum"], "section_title": "Loop Pattern Spectrum", "section_body": "Loop Pattern Spectrum\n\nFrom simplest to most sophisticated:\n\n| Pattern | Complexity | Best For |\n|---------|-----------|----------|\n| [Sequential Pipeline](#1-sequential-pipeline-claude--p) | Low | Daily dev steps, scripted workflows |\n| [NanoClaw REPL](#2-nanoclaw-repl) | Low | Interactive persistent sessions |\n| [Infinite Agentic Loop](#3-infinite-agentic-loop) | Medium | Parallel content generation, spec-driven work |\n| [Continuous Claude PR Loop](#4-continuous-claude-pr-loop) | Medium | Multi-day iterative projects with CI gates |\n| [De-Sloppify Pattern](#5-the-de-sloppify-pattern) | Add-on | Quality cleanup after any Implementer step |\n| [Ralphinho / RFC-Driven DAG](#6-ralphinho--rfc-driven-dag-orchestration) | High | Large features, multi-unit parallel work with merge queue |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "0077e04ab328c0b559c45d1328cbe52d70755c84e0ba0a1c6d1664709958c40d", "alias_sources": []}
{"id": "8d1437dbc952a280", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow"], "section_title": "Laravel TDD Workflow", "section_body": "Laravel TDD Workflow\n\nTest-driven development for Laravel applications using PHPUnit and Pest with 80%+ coverage (unit + feature).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "4bed955b2bec7dac127ba475113488f0861a88d1c9dd0bdf6973d6d3acb971e0", "alias_sources": []}
{"id": "8d5c1851350569cb", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Authentication and Tokens"], "section_title": "Authentication and Tokens", "section_body": "Authentication and Tokens\n\nUse Laravel Sanctum or Passport for API auth\n\nPrefer short-lived tokens with refresh flows for sensitive data\n\nRevoke tokens on logout and compromised accounts\n\nExample route protection:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "809d0c8d43ce426e933fb5fca8c9f531addf0c6cafdc0dea4f0e901e211b2f62", "alias_sources": []}
{"id": "8d5e4cdcdaee5af9", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Core Knowledge", "Carrier Behaviour by Mode"], "section_title": "Carrier Behaviour by Mode", "section_body": "Carrier Behaviour by Mode\n\nUnderstanding how different carrier types operate changes your resolution strategy:\n\n**LTL carriers** (FedEx Freight, XPO, Estes): Shipments touch 2-4 terminals. Each touch = damage risk. Claims departments are large and process-driven. Expect 30-60 day claim resolution. Terminal managers have authority up to ~$2,500.\n\n**FTL/truckload** (asset carriers + brokers): Single-driver, dock-to-dock. Damage is usually loading/unloading. Brokers add a layer \u2014 the broker's carrier may go dark. Always get the actual carrier's MC number.\n\n**Parcel** (UPS, FedEx, USPS): Automated claims portals. Strict documentation requirements. Declared value matters \u2014 default liability is very low ($100 for UPS). Must purchase additional coverage at shipping.\n\n**Intermodal** (rail + drayage): Multiple handoffs. Damage often occurs during rail transit (impact events) or chassis swap. Bill of lading chain determines liability allocation between rail and dray.\n\n**Ocean** (container shipping): Governed by Hague-Visby or COGSA (US). Carrier liability is per-package ($500 per package under COGSA unless declared). Container seal integrity is everything. Surveyor inspection at destination port.\n\n**Air freight:** Governed by Montreal Convention. Strict 14-day notice for damage, 21 days for delay. Weight-based liability limits unless value declared. Fastest claims resolution of all modes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test", "phase:docs"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "139a32a4d7b3ed8cb7b43dfcca702428c36c4d5a08c2da4f2cac126b8149b1b0", "alias_sources": []}
{"id": "8dbe5609b7b591af", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Evolution Across Model Capabilities", "Stage 3 \u2014 Frontier Models (Opus 4.6-class)"], "section_title": "Stage 3 \u2014 Frontier Models (Opus 4.6-class)", "section_body": "Stage 3 \u2014 Frontier Models (Opus 4.6-class)\n\nSimplified harness: single planning pass, continuous generation\n\nEvaluation reduced to single end-pass (model is smarter)\n\nNo sprint structure needed\n\nAutomatic compaction handles context growth\n\n**Key principle:** Every harness component encodes an assumption about what the model can't do alone. When models improve, re-test those assumptions. Strip away what's no longer needed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "c074d94de37cea6e24236b6dacb2728efb20b3b332976a266a5e5adb8e6a4f4d", "alias_sources": []}
{"id": "8dbf88a81c7a2855", "skill_name": "visa-doc-translate", "skill_description": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "skill_type": null, "section_path": ["Instructions"], "section_title": "Instructions", "section_body": "You are helping translate visa application documents for visa applications.\n\nInstructions\n\nWhen the user provides an image file path, AUTOMATICALLY execute the following steps WITHOUT asking for confirmation:\n\n**Image Conversion**: If the file is HEIC, convert it to PNG using `sips -s format png <input> --out <output>`\n\n**Image Rotation**:\n\nCheck EXIF orientation data\n\nAutomatically rotate the image based on EXIF data\n\nIf EXIF orientation is 6, rotate 90 degrees counterclockwise\n\nApply additional rotation as needed (test 180 degrees if document appears upside down)\n\n**OCR Text Extraction**:\n\nTry multiple OCR methods automatically:\n\nmacOS Vision framework (preferred for macOS)\n\nEasyOCR (cross-platform, no tesseract required)\n\nTesseract OCR (if available)\n\nExtract all text information from the document\n\nIdentify document type (deposit certificate, employment certificate, retirement certificate, etc.)\n\n**Translation**:\n\nTranslate all text content to English professionally\n\nMaintain the original document structure and format\n\nUse professional terminology appropriate for visa applications\n\nKeep proper names in original language with English in parentheses\n\nFor Chinese names, use pinyin format (e.g., WU Zhengye)\n\nPreserve all numbers, dates, and amounts accurately\n\n**PDF Generation**:\n\nCreate a Python script using PIL and reportlab libraries\n\nPage 1: Display the rotated original image, centered and scaled to fit A4 page\n\nPage 2: Display the English translation with proper formatting:\n\nTitle centered and bold\n\nContent left-aligned with appropriate spacing\n\nProfessional layout suitable for official documents\n\nAdd a note at the bottom: \"This is a certified English translation of the original document\"\n\nExecute the script to generate the PDF\n\n**Output**: Create a PDF file named `<original_filename>_Translated.pdf` in the same directory", "source_path": "CODEFORGE\\everything-claude-code\\skills\\visa-doc-translate\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "mtime": 1776507630.1890082, "body_hash": "80b538acbcc595633d5b4bac1fecd62a1b8c9424d05092b9076cf691986223c5", "alias_sources": []}
{"id": "8dc20b42cc944c0c", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nAdding authentication or authorization\n\nHandling user input and file uploads\n\nBuilding new API endpoints\n\nManaging secrets and environment settings\n\nHardening production deployments", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "9c60eb8480fb39909e31c32e2bd1990a9831bbe93c6a9100efe44c7491327cf5", "alias_sources": []}
{"id": "8dcdb2a57819c01b", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "ECC v1.8 Additions", "CI Integration Pattern"], "section_title": "CI Integration Pattern", "section_body": "CI Integration Pattern\n\nUse the same commands in CI as local hooks:\n\nrun formatter checks\n\nrun lint/type checks\n\nfail fast on strict mode\n\npublish remediation summary", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "9af83be27e10ac3d083d312b37cd7121ce1f30bb6efd4ac084ac766a1fced268", "alias_sources": []}
{"id": "8e09b101837e1f50", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Network Graph Default"], "section_title": "Network Graph Default", "section_body": "Network Graph Default\n\nFor social-graph and network-optimization explainers:\n\nshow the current graph before showing the optimized graph\n\ndistinguish low-signal follow clutter from high-signal bridges\n\nhighlight warm-path nodes and target clusters\n\nif useful, add a final scene showing the self-improvement lineage that informed the skill", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "f8f604bfa7a1ac8e56e9758d08115b3d945924396c16ad30d43ab0f267a3b667", "alias_sources": []}
{"id": "8e397f19a54d8321", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 12: Diff Review"], "section_title": "Phase 12: Diff Review", "section_body": "Phase 11: API Documentation (if DRF)\n\nPhase 12: Diff Review\n\nChecklist:\n\nNo debugging statements (print, pdb, breakpoint())\n\nNo TODO/FIXME comments in critical code\n\nNo hardcoded secrets or credentials\n\nDatabase migrations included for model changes\n\nConfiguration changes documented\n\nError handling present for external calls\n\nTransaction management where needed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review", "phase:docs"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "c3402f85e343ac5eee16670982cd01be9e1acbdcdeed0760770d4f1df37d542e", "alias_sources": []}
{"id": "8e48256380b829bb", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Configuration and Environments"], "section_title": "Configuration and Environments", "section_body": "Configuration and Environments\n\nKeep secrets in `.env` and config in `config/*.php`\n\nUse per-environment config overrides and `config:cache` in production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "8f14d8194009f539d33e32466568cce88c27312d118ac75da8fd584234816497", "alias_sources": []}
{"id": "8e4ca85ae4f901d0", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "Examples", "Example 2: Check HIGH Gate Pass Rate"], "section_title": "Example 2: Check HIGH Gate Pass Rate", "section_body": "Examples\n\nExample 1: Run All Critical Gates Locally\n\nExample 2: Check HIGH Gate Pass Rate", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "93ab7d4d7ec1bf4c31b5447852248974e5cf433e33a1d1c5af665a8b6a0a62ab", "alias_sources": []}
{"id": "8e4e416944b591eb", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Quality Checklist"], "section_title": "Quality Checklist", "section_body": "Requirements Template\n\nQuality Checklist\n\nBefore marking the agent complete:\n\n[ ] `config.yaml` controls all user-facing settings \u2014 no hardcoded values\n\n[ ] `profile/context.md` holds user-specific context for AI matching\n\n[ ] Deduplication by URL before every storage push\n\n[ ] Gemini client has model fallback chain (4 models)\n\n[ ] Batch size \u2264 5 items per API call\n\n[ ] `maxOutputTokens` \u2265 2048\n\n[ ] `.env` is in `.gitignore`\n\n[ ] `.env.example` provided for onboarding\n\n[ ] `setup.py` creates DB schema on first run\n\n[ ] `enrich_existing.py` backfills AI scores on old rows\n\n[ ] GitHub Actions workflow commits `feedback.json` after each run\n\n[ ] README covers: setup in < 5 minutes, required secrets, customisation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review", "phase:docs"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "cf5dc387718ce095fbfc44c401da8b54fa26761acc775b89bba0167fd393d913", "alias_sources": []}
{"id": "8e6edd159670e2e6", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`safety-guard` \u2014 Runtime safety checks (complementary, not overlapping)\n\n`code-reviewer` \u2014 Post-edit review (GateGuard is pre-edit investigation)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "dcd210c9c8d8dfa11833f7054ca63928d696454e3f9ebcd173bc31f30c3bc7c8", "alias_sources": []}
{"id": "8e9ed4fcf7f9d1e2", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Core Concepts", "YAML Task Definitions"], "section_title": "YAML Task Definitions", "section_body": "Core Concepts\n\nYAML Task Definitions\n\nDefine tasks declaratively. Each task specifies what to do, which files to touch, and how to judge success:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "abf1643c1751891436268f220b122f87156064b5a290308c883b9c438a4c554b", "alias_sources": []}
{"id": "8eb7961131425ce2", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new Rust code\n\nReviewing Rust code\n\nRefactoring existing Rust code\n\nDesigning crate structure and module layout", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "b1914245d5f486c9be287b159d32e755f47e984588a74ced7cf227c24deae3c0", "alias_sources": []}
{"id": "8ee35af417a71cc5", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability"], "section_title": "Product Capability", "section_body": "Product Capability\n\nThis skill turns product intent into explicit engineering constraints.\n\nUse it when the gap is not \"what should we build?\" but \"what exactly must be true before implementation starts?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "be082e518f176bfed99e5dc05e1746d106a3e864932b1603835e7f607676db63", "alias_sources": []}
{"id": "8f27073da37a9ef8", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Workflow", "1. Resolve the exact thread"], "section_title": "1. Resolve the exact thread", "section_body": "Workflow\n\n1. Resolve the exact thread\n\nBefore doing anything else, settle:\n\nmessage surface\n\nsender / recipient / service\n\ntime window\n\nwhether the task is retrieval, inspection, or prep for a reply", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "06248d37ae38e0732fb9bf600e630f3901ac258459579f096f41bd5fc8cd6613", "alias_sources": []}
{"id": "8f2cb7f8c60e1d8f", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nApply these patterns as a bias toward modern Perl 5.36+ defaults: signatures, explicit modules, focused error handling, and testable boundaries. The examples below are meant to be copied as starting points, then tightened for the actual app, dependency stack, and deployment model in front of you.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "889c06abbb27bbe47dd2200428efe3bafb7bb9dfa97590d73e29704006740697", "alias_sources": []}
{"id": "8f4250669f83d3ba", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "6. CSRF Protection"], "section_title": "6. CSRF Protection", "section_body": "6. CSRF Protection\n\nCSRF Tokens\n\nCSRF Tokens\n\nSameSite Cookies\n\nSameSite Cookies\n\nVerification Steps\n\nVerification Steps\n\n[ ] CSRF tokens on state-changing operations\n\n[ ] SameSite=Strict on all cookies\n\n[ ] Double-submit cookie pattern implemented", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "071adcf779383a647b97628067dddb411489c0ea4ccb36ac242a9c902de8982a", "alias_sources": []}
{"id": "8f4608ed42b6ffba", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Async Tests"], "section_title": "Async Tests", "section_body": "Testing Panics\n\nIntegration Tests\n\nFile Structure\n\nWriting Integration Tests\n\nAsync Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "afe4aa53b7df368aa9fcf8b174ff0c0bc23d632c4601f0a00ea3e0184d68dfea", "alias_sources": []}
{"id": "8f5cc6575b9e1370", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "2. NanoClaw REPL", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nLoads conversation history from `~/.claude/claw/{session}.md`\n\nEach user message is sent to `claude -p` with full history as context\n\nResponses are appended to the session file (Markdown-as-database)\n\nSessions persist across restarts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "9134221864236170a69c5d18909cfa72d5dbfac8153ae2e37acd4713c66e9768", "alias_sources": []}
{"id": "8f850cb565ea181f", "skill_name": "team-builder", "skill_description": "Interactive agent picker for composing and dispatching parallel teams", "skill_type": null, "section_path": ["Team Builder", "How It Works", "Step 3: Handle Selection"], "section_title": "Step 3: Handle Selection", "section_body": "Step 3: Handle Selection\n\nAccept flexible input:\n\nNumbers: \"1,3\" selects all agents from Engineering and Sales\n\nNames: \"security + seo\" fuzzy-matches against discovered agents\n\n\"all from engineering\" selects every agent in that domain\n\nIf more than 5 agents are selected, list them alphabetically and ask the user to narrow down: \"You selected N agents (max 5). Pick which to keep, or say 'first 5' to use the first five alphabetically.\"\n\nConfirm selection:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\team-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Interactive agent picker for composing and dispatching parallel teams", "mtime": 1776507630.1514592, "body_hash": "429cfc2c5328f451281e709c0e5a56c512eacdf59d482e043e5bd9f02cbd3d8d", "alias_sources": []}
{"id": "8f9445aa175bd10e", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "RFP Process"], "section_title": "RFP Process", "section_body": "RFP Process\n\nA well-run freight RFP takes 8-12 weeks and touches every active and prospective carrier:\n\n**Pre-RFP:** Analyze 12 months of shipment data. Identify lanes by volume, spend, and current service levels. Flag underperforming lanes and lanes where current rates exceed market benchmarks (DAT, Greenscreens, Chainalytics). Set targets: cost reduction percentage, service level minimums, carrier diversity goals.\n\n**RFP design:** Include lane-level detail (origin/destination zip, volume range, required equipment, any special handling), current transit time expectations, accessorial requirements, payment terms, insurance minimums, and your evaluation criteria with weightings. Make carriers bid lane-by-lane \u2014 portfolio bids (\"we'll give you 5% off everything\") hide cross-subsidization.\n\n**Bid evaluation:** Don't award on price alone. Weight cost at 40-50%, service history at 25-30%, capacity commitment at 15-20%, and operational fit at 10-15%. A carrier 3% above the lowest bid but with 97% OTD and 95% tender acceptance is cheaper than the lowest bidder with 85% OTD and 70% tender acceptance \u2014 the service failures cost more than the rate difference.\n\n**Award and implementation:** Award in waves \u2014 primary carriers first, then secondary. Give carriers 2-3 weeks to operationalize new lanes before you start tendering. Run a 30-day parallel period where old and new routing guides overlap. Cut over cleanly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "47395991bda56595f2244588d6058d7da2a44a6c00eba36b067e5c8b7456fb08", "alias_sources": []}
{"id": "8f9a8d260f4f08fb", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "Unit Tests"], "section_title": "Unit Tests", "section_body": "TDD Workflow for Rust\n\nThe RED-GREEN-REFACTOR Cycle\n\nStep-by-Step TDD in Rust\n\nUnit Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "38bdd95ad1cca7627469f022d3f56ff37065c6b033ab3567f8c26c049ce5d5bc", "alias_sources": []}
{"id": "8fb7a4b328cda1de", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "MCP Requirements"], "section_title": "MCP Requirements", "section_body": "MCP Requirements\n\nAt least one of:\n\n**firecrawl** \u2014 `firecrawl_search`, `firecrawl_scrape`, `firecrawl_crawl`\n\n**exa** \u2014 `web_search_exa`, `web_search_advanced_exa`, `crawling_exa`\n\nBoth together give the best coverage. Configure in `~/.claude.json` or `~/.codex/config.toml`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:test"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "75e3bd3620e81373a2e15a795be920ed79e1d90df0faba31e8f6a25f04e02f65", "alias_sources": []}
{"id": "8fc410e50541a0a6", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Common Pitfalls", "Test Pollution"], "section_title": "Test Pollution", "section_body": "Test Pollution\n\nUse `my` variables inside subtests \u2014 never `our` \u2014 to prevent state leaking between tests.\n\n**Remember**: Tests are your safety net. Keep them fast, focused, and independent. Use Test2::V0 for new projects, prove for running, and Devel::Cover for accountability.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "f953466f6120920691183d3ac6bb264857a633b331ad4bcc543d56c390d4e66b", "alias_sources": []}
{"id": "8fdfb7b3c0c8fa9c", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Core Rules"], "section_title": "Core Rules", "section_body": "Core Rules\n\nDo not publish identical copy across platforms.\n\nPreserve the author's voice across platforms.\n\nAdapt for constraints, not stereotypes.\n\nOne post should still be about one thing.\n\nDo not invent a CTA, question, or moral if the source did not earn one.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "804ffd3f6231f79511f6d6cc5ca5213f7568d24884cc66952b515ec339b1ed0d", "alias_sources": []}
{"id": "901e79c8f8af6310", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "References"], "section_title": "References", "section_body": "References\n\nSee skill: `compose-multiplatform-patterns` for UI consumption of Flows.\nSee skill: `android-clean-architecture` for where coroutines fit in layers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "b79c301955af8f8ca2bd94606ceb2a460bd1d6b888767cbcbcc4f8a5224d0a9c", "alias_sources": []}
{"id": "9022fa01dcaa8523", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nTriage open PR or issue backlogs\n\nDecide what belongs in Linear vs what should remain GitHub-only\n\nLink active GitHub work to internal execution lanes\n\nClassify PRs into merge, port/rebuild, close, or park\n\nAudit whether review comments, CI failures, or stale issues are blocking execution", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "eaac02130bdc6c742f923ea06d657bcf266b2790df11077694de8d6ad5a7ecbe", "alias_sources": []}
{"id": "904489f3888af4f4", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Risk Management"], "section_title": "Risk Management", "section_body": "Risk Management\n\n**Hedging approaches:** Layered procurement is the primary hedge. Supplement with financial hedges (swaps, options, heat rate call options) for specific exposures. Buy put options on wholesale electricity to cap your index pricing exposure \u2014 a $50/MWh put costs $2\u2013$5/MWh premium but prevents the catastrophic tail risk of $200+/MWh wholesale spikes.\n\n**Budget certainty vs. market exposure:** The fundamental tradeoff. Fixed-price contracts provide certainty at a premium. Index contracts provide lower average cost at higher variance. Most sophisticated C&I buyers land on 60\u201380% hedged, 20\u201340% index \u2014 the exact ratio depends on the company's financial profile, treasury risk tolerance, and whether energy is a material input cost (manufacturers) or an overhead line item (offices).\n\n**Weather risk:** Heating degree days (HDD) and cooling degree days (CDD) drive consumption variance. A winter 15% colder than normal can increase natural gas costs 25\u201340% above budget. Weather derivatives (HDD/CDD swaps and options) can hedge volumetric risk \u2014 but most C&I buyers manage weather risk through budget reserves rather than financial instruments.\n\n**Regulatory risk:** Tariff changes through rate cases, capacity market reform (PJM's capacity market has restructured pricing 3 times since 2015), carbon pricing legislation, and net metering policy changes can all shift the economics of your procurement strategy mid-contract.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "96fa62d3864137c32b75dc28b0e0966415c4e234e181db555617f8cfa805dd67", "alias_sources": []}
{"id": "905bca9758322925", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Results File Schema"], "section_title": "Results File Schema", "section_body": "Results File Schema\n\n`~/.claude/skills/skill-stocktake/results.json`:\n\n**`evaluated_at`**: Must be set to the actual UTC time of evaluation completion.\nObtain via Bash: `date -u +%Y-%m-%dT%H:%M:%SZ`. Never use a date-only approximation like `T00:00:00Z`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "6e25ea5f5ec62f72e4af82c3a6b98df8969fffabbb43944527c33e21617e154b", "alias_sources": []}
{"id": "9062dd9eb393892b", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns", "Related"], "section_title": "Related", "section_body": "Anti-Pattern Detection\n\nConfiguration Template\n\nRelated\n\nAgent: `database-reviewer` - Full database review workflow\n\nSkill: `clickhouse-io` - ClickHouse analytics patterns\n\nSkill: `backend-patterns` - API and backend patterns\n\n*Based on Supabase Agent Skills (credit: Supabase team) (MIT License)*", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "f0188369a4e624c3b2180c39c72dc7372d6076c47a51d0f86e82ea071901abc5", "alias_sources": []}
{"id": "906e7e996f35f53e", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Exceptions"], "section_title": "Exceptions", "section_body": "Naming\n\nImmutability\n\nOptional Usage\n\nStreams Best Practices\n\nExceptions\n\nUse unchecked exceptions for domain errors; wrap technical exceptions with context\n\nCreate domain-specific exceptions (e.g., `MarketNotFoundException`)\n\nAvoid broad `catch (Exception ex)` unless rethrowing/logging centrally", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "212060da80cf53c1e1f8145bf0e23dd7e212a67bbb2be7b6a1f571831075aad8", "alias_sources": []}
{"id": "907ee648750c57e7", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding an AI agent that signs and sends transactions\n\nAuditing a trading bot or on-chain execution assistant\n\nDesigning wallet key management for an agent\n\nGiving an LLM access to order placement, swaps, or treasury operations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "c722e4f5c58ed31f974668ca02cd10eeaaa402b395d93a25b0d08b50e1726fb3", "alias_sources": []}
{"id": "90c50c4dd6156292", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Core Concepts", "2. Immutable Cost Tracking"], "section_title": "2. Immutable Cost Tracking", "section_body": "2. Immutable Cost Tracking\n\nTrack cumulative spend with frozen dataclasses. Each API call returns a new tracker \u2014 never mutates state.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "0d57c8f69110e78824ed051e6f52e13a7b13ba6a0e1a5c5f57435bcf6ddaf38a", "alias_sources": []}
{"id": "90c56d52dcb9e28f", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Merge Queue Rules"], "section_title": "Merge Queue Rules", "section_body": "Merge Queue Rules\n\nNever merge a unit with unresolved dependency failures.\n\nAlways rebase unit branches on latest integration branch.\n\nRe-run integration tests after each queued merge.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "e5a479b7176d81ce4fd4936c27c1069ad8ca9f9af29bd64ce0fee53f02909d0b", "alias_sources": []}
{"id": "90d51b91685aa607", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Production Defaults"], "section_title": "Production Defaults", "section_body": "Production Defaults\n\nEnable structured logging and request correlation ids.\n\nTerminate on invalid env/config instead of booting partially.\n\nPrefer async provider initialization for DB/cache clients with explicit health checks.\n\nKeep background jobs and event consumers in their own modules, not inside HTTP controllers.\n\nMake rate limiting, auth, and audit logging explicit for public endpoints.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "f13609f67230e078346b305b8691c39097814fb94e05cdfefed184f281639cf1", "alias_sources": []}
{"id": "9103501caf6c32b8", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "Labor Management"], "section_title": "Labor Management", "section_body": "Labor Management\n\n**Shift patterns:** Common patterns include 3\u00d78 (three 8-hour shifts, 24/5 or 24/7), 2\u00d712 (two 12-hour shifts, often with rotating days), and 4\u00d710 (four 10-hour days for day-shift-only operations). Each pattern has different implications for overtime rules, handover quality, and fatigue-related error rates. 12-hour shifts reduce handovers but increase error rates in hours 10\u201312. Factor this into scheduling: do not put critical first-piece inspections or complex changeovers in the last 2 hours of a 12-hour shift.\n\n**Skill matrices:** Maintain a matrix of operator \u00d7 work centre \u00d7 certification level (trainee, qualified, expert). Scheduling feasibility depends on this matrix \u2014 a work order routed to a CNC lathe is infeasible if no qualified operator is on shift. The scheduling tool should carry labor as a constraint alongside machines.\n\n**Cross-training ROI:** Each additional operator certified on the constraint work centre reduces the probability of constraint starvation due to absenteeism. Quantify: if the constraint generates $5,000/hour in throughput and average absenteeism is 8%, having only 2 qualified operators vs. 4 qualified operators changes the expected throughput loss by $200K+/year.\n\n**Union rules and overtime:** Many manufacturing environments have contractual constraints on overtime assignment (by seniority), mandatory rest periods between shifts (typically 8\u201310 hours), and restrictions on temporary reassignment across departments. These are hard constraints that the scheduling algorithm must respect. Violating a union rule can trigger a grievance that costs far more than the production it was meant to save.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "21303fae5226843ca5611e6c18b42956083ea3a1d2b81d291b32126010ff76c8", "alias_sources": []}
{"id": "9105d06810ab663c", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "Separate Context Windows (Author-Bias Elimination)"], "section_title": "Separate Context Windows (Author-Bias Elimination)", "section_body": "Separate Context Windows (Author-Bias Elimination)\n\nEach stage runs in its own agent process with its own context window:\n\n| Stage | Model | Purpose |\n|-------|-------|---------|\n| Research | Sonnet | Read codebase + RFC, produce context doc |\n| Plan | Opus | Design implementation steps |\n| Implement | Codex | Write code following the plan |\n| Test | Sonnet | Run build + test suite |\n| PRD Review | Sonnet | Spec compliance check |\n| Code Review | Opus | Quality + security check |\n| Review Fix | Codex | Address review issues |\n| Final Review | Opus | Quality gate (large tier only) |\n\n**Critical design:** The reviewer never wrote the code it reviews. This eliminates author bias \u2014 the most common source of missed issues in self-review.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "f6d93afe6d4991cd2da95cc062f5d6d9afe46046659dae1ebff0af159c6a0953", "alias_sources": []}
{"id": "917647c345073bdc", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Decision Frameworks", "Return Policy Exception Logic"], "section_title": "Return Policy Exception Logic", "section_body": "Return Policy Exception Logic\n\nWhen a return falls outside standard policy, evaluate in this order:\n\n**Is the product defective?** If yes, accept regardless of window or condition. Defective products are the company's problem, not the customer's.\n\n**Is this a high-value customer?** (Top 10% by LTV) If yes, accept with standard refund. The retention math almost always favours the exception.\n\n**Is the request reasonable to a neutral observer?** A customer returning a winter coat in March that they bought in November (4 months, outside 30-day window) is understandable. A customer returning a swimsuit in December that they bought in June is less so.\n\n**What is the disposition outcome?** If the product is restockable (Grade A), the cost of the exception is minimal \u2014 grant it. If it's Grade C or worse, the exception costs real margin.\n\n**Does granting create a precedent risk?** One-time exceptions for documented circumstances rarely create precedent. Publicised exceptions (social media complaints) always do.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "1abc2b8f69273731967024e7ff2224e99c5956aafe72f1697403107326536d53", "alias_sources": []}
{"id": "91801621c2c3f6cb", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Optional Appendix: Fuzzing / Property Testing"], "section_title": "Optional Appendix: Fuzzing / Property Testing", "section_body": "Optional Appendix: Fuzzing / Property Testing\n\nOnly use if the project already supports LLVM/libFuzzer or a property-testing library.\n\n**libFuzzer**: best for pure functions with minimal I/O.\n\n**RapidCheck**: property-based tests to validate invariants.\n\nMinimal libFuzzer harness (pseudocode: replace ParseConfig):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "686e0205d52dd17df21f469b0e9d93bb887a33a8d63f29acd3c5a91828f02bde", "alias_sources": []}
{"id": "91a99e39833286a5", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Returns Policy Logic"], "section_title": "Returns Policy Logic", "section_body": "Core Knowledge\n\nReturns Policy Logic\n\nEvery return starts with policy evaluation. The policy engine must account for overlapping and sometimes conflicting rules:\n\n**Standard return window:** Typically 30 days from delivery for most general merchandise. Electronics often 15 days. Perishables non-returnable. Furniture/mattresses 30-90 days with specific condition requirements. Extended holiday windows (purchases Nov 1 \u2013 Dec 31 returnable through Jan 31) create a surge that peaks mid-January.\n\n**Condition requirements:** Most policies require original packaging, all accessories, and no signs of use beyond reasonable inspection. \"Reasonable inspection\" is where disputes live \u2014 a customer who removed laptop screen protector film has technically altered the product but this is normal unboxing behavior.\n\n**Receipt and proof of purchase:** POS transaction lookup by credit card, loyalty number, or phone number has largely replaced paper receipts. Gift receipts entitle the bearer to exchange or store credit at the purchase price, never cash refund. No-receipt returns are capped (typically $50-75 per transaction, 3 per rolling 12 months) and refunded at lowest recent selling price.\n\n**Restocking fees:** Applied to opened electronics (15%), special-order items (20-25%), and large/bulky items requiring return shipping coordination. Waived for defective products or fulfilment errors. The decision to waive for customer goodwill requires margin awareness \u2014 waiving a $45 restocking fee on a $300 item with 28% margin costs more than it appears.\n\n**Cross-channel returns:** Buy-online-return-in-store (BORIS) is expected by customers and operationally complex. Online prices may differ from store prices. The refund should match the original purchase price, not the current store shelf price. Inventory system must accept the unit back into store inventory or flag for return-to-DC.\n\n**International returns:** Duty drawback eligibility requires proof of re-export within the statutory window (typically 3-5 years depending on country). Return shipping costs often exceed product value for low-cost items \u2014 offer \"returnless refund\" when shipping exceeds 40% of product value. Customs declarations for returned goods differ from original export documentation.\n\n**Exceptions:** Price-match returns (customer found it cheaper), buyer's remorse beyond window with compelling circumstances, defective products outside warranty, and loyalty tier overrides (top-tier customers get extended windows and waived fees) all require judgment frameworks rather than rigid rules.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "79a2d4edcaeafad564f4deb1b70f3e51fe64d741d4ebe839b91659a10cde8566", "alias_sources": []}
{"id": "91c9b16de7a1ae9f", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Integration Points", "With architect agent"], "section_title": "With architect agent", "section_body": "With architect agent\n\nThe architect should consult researcher for:\n\nTechnology stack decisions\n\nIntegration pattern discovery\n\nExisting reference architectures", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "64820bfb5fb0351fc6198bc8a996a9347cab75a0b66792e06b528934ce0f5959", "alias_sources": []}
{"id": "91cedfc2e29fce7f", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Workflow", "1. Resolve the exact surface"], "section_title": "1. Resolve the exact surface", "section_body": "Workflow\n\n1. Resolve the exact surface\n\nBefore acting, settle:\n\nwhich mailbox account\n\nwhich thread or recipient\n\nwhether the task is triage, draft, reply, or send\n\nwhether the user wants draft-only or live send", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "41be7fdac03003920b40953b3c40187e923e197fc1b45e3154f3fd1c82a21bff", "alias_sources": []}
{"id": "91d636bd259b05ea", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan"], "section_title": "repo-scan", "section_body": "repo-scan\n\nEvery ecosystem has its own dependency manager, but no tool looks across C++, Android, iOS, and Web to tell you: how much code is actually yours, what's third-party, and what's dead weight.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "ee23b344d70a6c95054538e1c02fc385a27f8b4b455e175670874d34e767bdbd", "alias_sources": []}
{"id": "91e53814bada5a4e", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Workflow", "2. Infer the reader"], "section_title": "2. Infer the reader", "section_body": "2. Infer the reader\n\nDecide the persona and depth from the request.\n\n| Request shape | Persona | Suggested depth |\n| --- | --- | --- |\n| \"onboarding\", \"new joiner\" | `new-joiner` | 9-13 steps |\n| \"quick tour\", \"vibe check\" | `vibecoder` | 5-8 steps |\n| \"architecture\" | `architect` | 14-18 steps |\n| \"tour this PR\" | `pr-reviewer` | 7-11 steps |\n| \"why did this break\" | `rca-investigator` | 7-11 steps |\n| \"security review\" | `security-reviewer` | 7-11 steps |\n| \"explain how this feature works\" | `feature-explainer` | 7-11 steps |\n| \"debug this path\" | `bug-fixer` | 7-11 steps |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build", "phase:review", "phase:debug"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "4e840a681edaf29c172633c0d6a527fda63c8aeb9a7e2d13835d1187dd05020d", "alias_sources": []}
{"id": "91f48e7902bb811a", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Evolution Across Model Capabilities", "Stage 1 \u2014 Weaker Models (Sonnet-class)"], "section_title": "Stage 1 \u2014 Weaker Models (Sonnet-class)", "section_body": "Stage 1 \u2014 Weaker Models (Sonnet-class)\n\nFull sprint decomposition required\n\nContext resets between sprints (avoid context anxiety)\n\n2-agent minimum: Initializer + Coding Agent\n\nHeavy scaffolding compensates for model limitations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "5c6fbf8bb43f56fa6a8c2dc2d18e82478543fbc7080918081ebdbd07cea2d39e", "alias_sources": []}
{"id": "91f985d9e01e2f68", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Fixtures and Setup/Teardown", "Shared Test Helpers"], "section_title": "Shared Test Helpers", "section_body": "Subtest Isolation\n\nShared Test Helpers\n\nPlace reusable helpers in `t/lib/TestHelper.pm` and load with `use lib 't/lib'`. Export factory functions like `create_test_db()`, `create_temp_dir()`, and `fixture_path()` via `Exporter`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "b5cd5bd5410e1bf47b584bd829443d94d7f1b720401f3327fb1dd4f3fbcb587e", "alias_sources": []}
{"id": "9206055fdafe0fa8", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop", "Cross-Iteration Context: SHARED_TASK_NOTES.md"], "section_title": "Cross-Iteration Context: SHARED_TASK_NOTES.md", "section_body": "Usage\n\nCross-Iteration Context: SHARED_TASK_NOTES.md\n\nThe critical innovation: a `SHARED_TASK_NOTES.md` file persists across iterations:\n\nClaude reads this file at iteration start and updates it at iteration end. This bridges the context gap between independent `claude -p` invocations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "a64a4cbd9982ba9dd9af22ef4ecc38635da53e83925087cc5b6d9698c52d6d6e", "alias_sources": []}
{"id": "92188f78e1c675a1", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "2. Immutable State", "Freezed for Boilerplate-Free Immutability"], "section_title": "Freezed for Boilerplate-Free Immutability", "section_body": "2. Immutable State\n\nSealed Classes for State Hierarchies\n\nFreezed for Boilerplate-Free Immutability", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "6e3074c7ead30a404ee1cd44965e5c47c57289b60059213f8c28dabaeccee1fb", "alias_sources": []}
{"id": "9220d1552d511bdd", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 2: Rehearse", "Rehearsal script structure"], "section_title": "Rehearsal script structure", "section_body": "How\n\nUse `ensureVisible`, a wrapper that logs and fails loudly:\n\nRehearsal script structure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "5fe7036953949c8bbb5db69ec93a5eb4296038541a7a2d69b8539b5c202fe6f1", "alias_sources": []}
{"id": "9224491a830c1aab", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Database Testing"], "section_title": "Database Testing", "section_body": "Database Testing\n\nUse `RefreshDatabase` for clean state\n\nKeep tests isolated and deterministic\n\nPrefer `assertDatabaseHas` over manual queries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "fada23f4d3332913bf58827ef00ff6ed5ce9ddec4d327bb4951b271067d2e1d6", "alias_sources": []}
{"id": "92ac7db8a6e49987", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Git Hooks", "Pre-Push Hook"], "section_title": "Pre-Push Hook", "section_body": "Syncing Fork with Upstream\n\nUndoing Mistakes\n\nGit Hooks\n\nPre-Commit Hook\n\nPre-Push Hook", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "ef8c60ecf6da6ad7388f3732898929cb0fb503d70cd094defb4f2d0bbc16ecc2", "alias_sources": []}
{"id": "92cac4f4f63d13b9", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Performance Optimization"], "section_title": "Performance Optimization", "section_body": "Signals\n\nSignal Patterns\n\nMiddleware\n\nCustom Middleware\n\nPerformance Optimization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "99480ee6d0d9c4ca8ea56f47819004ed6be0c53195585fe35f8a336346958499", "alias_sources": []}
{"id": "92f21f4215702327", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "Workflow"], "section_title": "Workflow", "section_body": "Workflow\n\nBuild the weighted target set.\n\nPull the user's graph from X, LinkedIn, or both.\n\nCompute direct bridge scores.\n\nExpand second-order candidates for the highest-value mutuals.\n\nRank by `R(m)`.\n\nReturn:\n\nbest warm intro asks\n\nconditional bridge paths\n\ngraph gaps where no warm path exists", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "7933b06629c5f1bf49bd66eb49cec6a9105ee6f252dbbddc780f9cfcce21ae8c", "alias_sources": []}
{"id": "932d1afad61d528b", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "How It Works", "Test Layers"], "section_title": "Test Layers", "section_body": "Test Layers\n\n**Unit**: pure PHP classes, value objects, services\n\n**Feature**: HTTP endpoints, auth, validation, policies\n\n**Integration**: database + queue + external boundaries\n\nChoose layers based on scope:\n\nUse **Unit** tests for pure business logic and services.\n\nUse **Feature** tests for HTTP, auth, validation, and response shape.\n\nUse **Integration** tests when validating DB/queues/external services together.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "ef2f3b975b8965054cc766ed370f89c1fba6594d512cfece5075918bf7e46eaa", "alias_sources": []}
{"id": "9353562052deab50", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "Related Skills"], "section_title": "Related Skills", "section_body": "Output Shape\n\nRelated Skills\n\n`lead-intelligence` uses this ranking model inside the broader target-discovery and outreach pipeline\n\n`connections-optimizer` uses the same bridge logic when deciding who to keep, prune, or add\n\n`brand-voice` should run before drafting any intro request or direct outreach\n\n`x-api` provides X graph access and optional execution paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "2c03b6d1a27d92c97ba72c9f8d1c961c85806acd9e3ebebc62a204e767efd68c", "alias_sources": []}
{"id": "935494321e71aee9", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "1. Read the repo"], "section_title": "1. Read the repo", "section_body": "Core Workflow\n\n1. Read the repo\n\nEstablish the real stack before classifying anything:\n\nlanguages in use\n\nframeworks in use\n\nprimary package manager\n\ntest stack\n\nlint/format stack\n\ndeployment/runtime surface\n\noperator integrations already present", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "1e90dce3a9a4a08a4944810216e07a31eb157fccc788fdaf3c8a267c96402653", "alias_sources": []}
{"id": "935bb67b7913ded9", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\n| Pattern | Usage |\n|---------|-------|\n| `pytest.raises()` | Test expected exceptions |\n| `@pytest.fixture()` | Create reusable test fixtures |\n| `@pytest.mark.parametrize()` | Run tests with multiple inputs |\n| `@pytest.mark.slow` | Mark slow tests |\n| `pytest -m \"not slow\"` | Skip slow tests |\n| `@patch()` | Mock functions and classes |\n| `tmp_path` fixture | Automatic temp directory |\n| `pytest --cov` | Generate coverage report |\n| `assert` | Simple and readable assertions |\n\n**Remember**: Tests are code too. Keep them clean, readable, and maintainable. Good tests catch bugs; great tests prevent them.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "d61262618cdeb7da09a8cb4abbe981800716f6b340a92264566138ddc8b013dc", "alias_sources": []}
{"id": "93748617a2668ec5", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "3. Widget Best Practices", "Theming & design system:"], "section_title": "Theming & design system:", "section_body": "Theming & design system:\n\n[ ] Colors come from `Theme.of(context).colorScheme` \u2014 no hardcoded `Colors.red` or hex values\n\n[ ] Text styles come from `Theme.of(context).textTheme` \u2014 no inline `TextStyle` with raw font sizes\n\n[ ] Dark mode compatibility verified \u2014 no assumptions about light background\n\n[ ] Spacing and sizing use consistent design tokens or constants, not magic numbers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "9c5ce7fc9b9cca47923110a14b4d99f61eda11fdd7e09f086fe2aed948abafa3", "alias_sources": []}
{"id": "937c5f197f954f7a", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 6: Installation Summary"], "section_title": "Step 6: Installation Summary", "section_body": "Step 6: Installation Summary\n\nClean up the cloned repository from `/tmp`:\n\nThen print a summary report:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "1ae4444cb8d7c0a14218ab1b5bc7d0af1f7d543d37cbd3319a96752f5bd41485", "alias_sources": []}
{"id": "93833d4ff274034a", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Core Concepts", "AI Model Fallback Chain"], "section_title": "AI Model Fallback Chain", "section_body": "AI Model Fallback Chain\n\nBuild agents to auto-fallback across Gemini models on quota exhaustion:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "75531681636c76ead61586035406ce71dd685f27f5a471f95ef3107d4ceac69b", "alias_sources": []}
{"id": "93a6a7978e99972e", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Usage", "Initialize Secure Config"], "section_title": "Initialize Secure Config", "section_body": "Initialize Secure Config\n\nScaffold a new secure `.claude/` configuration from scratch:\n\nCreates:\n\n`settings.json` with scoped permissions and deny list\n\n`CLAUDE.md` with security best practices\n\n`mcp.json` placeholder", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "d2b28342586462f008708e53df1c5cbb18f40d56c30cbac58778547f6b2c99cd", "alias_sources": []}
{"id": "93ba8848f2f8101c", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "6. Testing", "Widget test quality:"], "section_title": "Widget test quality:", "section_body": "Widget test quality:\n\n[ ] `pumpWidget` and `pump` used correctly for async operations\n\n[ ] `find.byType`, `find.text`, `find.byKey` used appropriately\n\n[ ] No flaky tests depending on timing \u2014 use `pumpAndSettle` or explicit `pump(Duration)`\n\n[ ] Tests run in CI and failures block merges", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "8cd63cb8e8904007a74b909b16914f12a5dd654b659f548b076f83ab5f5aa32b", "alias_sources": []}
{"id": "9400a7cee4582fdc", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Core Insight"], "section_title": "Core Insight", "section_body": "Core Insight\n\nWhen asked to evaluate their own work, agents are pathological optimists \u2014 they praise mediocre output and talk themselves out of legitimate issues. But engineering a **separate evaluator** to be ruthlessly strict is far more tractable than teaching a generator to self-critique.\n\nThis is the same dynamic as GANs (Generative Adversarial Networks): the Generator produces, the Evaluator critiques, and that feedback drives the next iteration.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "4bd91c03c5a460b7a537c8ed2baccb75d65e369503a8cdcb6fdd1f52941c9a12", "alias_sources": []}
{"id": "940cf246d87133ce", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)"], "section_title": "Accessibility (WCAG 2.2)", "section_body": "Accessibility (WCAG 2.2)\n\nThis skill ensures that digital interfaces are Perceivable, Operable, Understandable, and Robust (POUR) for all users, including those using screen readers, switch controls, or keyboard navigation. It focuses on the technical implementation of WCAG 2.2 success criteria.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "6c1887cb12caad90927f5c8ec295a864aecf09dce98c732168cd798e48709e9c", "alias_sources": []}
{"id": "9423fbd98fd0cbca", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Error Handling Patterns", "require, check, error"], "section_title": "require, check, error", "section_body": "Error Handling Patterns\n\nResult Type for Domain Operations\n\nrequire, check, error", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "4a14f151e3d6c9c2ba9c21232b41be67be9daf72f3dcfd47fe2e029fb14bda75", "alias_sources": []}
{"id": "943694108d38443c", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows"], "section_title": "Kotlin Coroutines & Flows", "section_body": "Kotlin Coroutines & Flows\n\nPatterns for structured concurrency, Flow-based reactive streams, and coroutine testing in Android and Kotlin Multiplatform projects.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "cd98e7076516488934012abe103d731ce00dca701d3f69ffb0f642c548d7415f", "alias_sources": []}
{"id": "946e4b8cd7be07dc", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Interpreting Results", "Critical Findings (fix immediately)"], "section_title": "Critical Findings (fix immediately)", "section_body": "Interpreting Results\n\nCritical Findings (fix immediately)\n\nHardcoded API keys or tokens in config files\n\n`Bash(*)` in the allow list (unrestricted shell access)\n\nCommand injection in hooks via `${file}` interpolation\n\nShell-running MCP servers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "c9296320942cab642eacc5055ee9023575b65b49411431a7c53d9ba973624a49", "alias_sources": []}
{"id": "94804e381505fa30", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to save information to their knowledge base\n\nIngesting documents, conversations, or data into structured storage\n\nSyncing knowledge across systems (local files, MCP memory, Supabase, Git repos)\n\nDeduplicating or organizing existing knowledge\n\nUser says \"save this to KB\", \"sync knowledge\", \"what do I know about X\", \"ingest this\", \"update the knowledge base\"\n\nAny knowledge management task beyond simple memory recall", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "bb75e1ed131b43558803e499627c508b6a70b0d2d0474c205a1e62112e04413e", "alias_sources": []}
{"id": "948c163629929907", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns"], "section_title": "C# Testing Patterns", "section_body": "C# Testing Patterns\n\nComprehensive testing patterns for .NET applications using xUnit, FluentAssertions, and modern testing practices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "2322b06e60736ef93ddec0aa3ae43885a5b2aad379a710d5c2809ab6e90a26d2", "alias_sources": []}
{"id": "949cb989da1347c2", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Installation"], "section_title": "Installation", "section_body": "Installation\n\n**Note:** Install agent-eval from its repository after reviewing the source.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "d171501a9a730ea7da51e25d66239559b422998f3baa52245ded01560bbc9cb1", "alias_sources": []}
{"id": "952ae072b78713dd", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Prerequisites", "Option B: Direct REST API"], "section_title": "Option B: Direct REST API", "section_body": "Option B: Direct REST API\n\nIf MCP is not available, use the Jira REST API v3 directly via `curl` or a helper script.\n\n**Required environment variables:**\n\n| Variable | Description |\n|----------|-------------|\n| `JIRA_URL` | Your Jira instance URL (e.g., `https://yourorg.atlassian.net`) |\n| `JIRA_EMAIL` | Your Atlassian account email |\n| `JIRA_API_TOKEN` | API token from id.atlassian.com |\n\nStore these in your shell environment, secrets manager, or an untracked local env file. Do not commit them to the repo.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "06d870ecb1e4205b634591dbb9f1d5d00ad6119c21d25b537613f5d227dd8ff4", "alias_sources": []}
{"id": "9536259811abe64b", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 4: Programmable Composition (Remotion)", "Render output"], "section_title": "Render output", "section_body": "Basic Remotion composition\n\nRender output\n\nSee the [Remotion docs](https://www.remotion.dev/docs) for detailed patterns and API reference.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "bb9e7a454697920ebe6c6eb2e0b6d20979e716a421afabd73826067762be38c8", "alias_sources": []}
{"id": "954fab691a1ef651", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBefore any deployment of EMR/EHR applications\n\nAfter modifying CDSS logic (drug interactions, dose validation, scoring)\n\nAfter changing database schemas that touch patient data\n\nAfter modifying authentication or access control\n\nDuring CI/CD pipeline configuration for healthcare apps\n\nAfter resolving merge conflicts in clinical modules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "ad440a1db4d55607744218dbdcb06cc4ebd3db2e16d71f3e94a4668d00bf0283", "alias_sources": []}
{"id": "955ce8b0436e5a55", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Caching"], "section_title": "Caching", "section_body": "DTOs and Validation\n\nException Handling\n\nCaching\n\nRequires `@EnableCaching` on a configuration class.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "29cc08ba733a353d6c6f382dc6604407de91d88a665d67b63d7b292538cc5c8c", "alias_sources": []}
{"id": "95802eda4fb18efe", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Best Practices", "DO"], "section_title": "DO", "section_body": "Best Practices\n\nDO\n\n**Follow TDD**: Write tests before implementation (red-green-refactor)\n\n**Use Test2::V0**: Modern assertions, better diagnostics\n\n**Use subtests**: Group related assertions, isolate state\n\n**Mock external dependencies**: Network, database, file system\n\n**Use `prove -l`**: Always include lib/ in `@INC`\n\n**Name tests clearly**: `'user login with invalid password fails'`\n\n**Test edge cases**: Empty strings, undef, zero, boundary values\n\n**Aim for 80%+ coverage**: Focus on business logic paths\n\n**Keep tests fast**: Mock I/O, use in-memory databases", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "debb0798aa99c63786a36b14fab7217d857ec6018e487b045b5eb29bdce346a9", "alias_sources": []}
{"id": "9580ebf4a14a7ea1", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "Error Handling Patterns"], "section_title": "Error Handling Patterns", "section_body": "Caching Strategies\n\nRedis Caching Layer\n\nCache-Aside Pattern\n\nError Handling Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "46f5b6765208553ef29e5603aeb9ebcfc03587410d92dbb3b50457207e00f4ee", "alias_sources": []}
{"id": "95a089ff49102104", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns"], "section_title": "Nuxt 4 Patterns", "section_body": "Nuxt 4 Patterns\n\nUse when building or debugging Nuxt 4 apps with SSR, hybrid rendering, route rules, or page-level data fetching.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "eeee87d7b8c1e90c86e715b1a406cffd20aefe5019f503b868677ad40cea5498", "alias_sources": []}
{"id": "95ab03fad1ad35a2", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Four-Phase Loop", "Phase 4: Introspection Report"], "section_title": "Phase 4: Introspection Report", "section_body": "Phase 4: Introspection Report\n\nEnd with a report that makes the recovery legible to the next agent or human.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "28f9330594e84b3e35f85a69732b252348c1285e294d91177c73a1d4657e0ed5", "alias_sources": []}
{"id": "95b31151dd47f925", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "When to Use"], "section_title": "When to Use", "section_body": "Laravel Verification Loop\n\nRun before PRs, after major changes, and pre-deploy.\n\nWhen to Use\n\nBefore opening a pull request for a Laravel project\n\nAfter major refactors or dependency upgrades\n\nPre-deployment verification for staging or production\n\nRunning full lint -> test -> security -> deploy readiness pipeline", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:deploy"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "d3bcf2e3b52ad148e988373ed0801525c32be367eee93dad534afad204a37244", "alias_sources": []}
{"id": "95dc0f3861e4dcf2", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Testing Async Code", "Async Tests with pytest-asyncio"], "section_title": "Async Tests with pytest-asyncio", "section_body": "Using Autospec\n\nMock Class Instances\n\nMock Property\n\nTesting Async Code\n\nAsync Tests with pytest-asyncio", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "d767bed8651d5579d6290f193d7868f59ca3c225c45eae98dc2e4d6612a153b7", "alias_sources": []}
{"id": "95ddf6d7f4425e9b", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Patient Safety First"], "section_title": "Patient Safety First", "section_body": "How It Works\n\nPatient Safety First\n\nEvery design decision must be evaluated against: \"Could this harm a patient?\"\n\nDrug interactions MUST alert, not silently pass\n\nAbnormal lab values MUST be visually flagged\n\nCritical vitals MUST trigger escalation workflows\n\nNo clinical data modification without audit trail", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "d83cd8f4036cb101b0cd705809e727864a1c764b517a091b3d6c8c1861bd9bcf", "alias_sources": []}
{"id": "95edd86e74d60bcd", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUse when: implementing a new MCP server, adding tools or resources, choosing stdio vs HTTP, upgrading the SDK, or debugging MCP registration and transport issues.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "875d3964861642386944c5ebad98e0bfb75d95ed341231c626070a7757b71ee4", "alias_sources": []}
{"id": "95edec26a679c014", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", "Networking", "Service Discovery"], "section_title": "Service Discovery", "section_body": "Override Files\n\nNetworking\n\nService Discovery\n\nServices in the same Compose network resolve by service name:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "e60d40d2c042f3b8355e4d9fedaf3aa1beda18876e3c34bcfff33d2ef2c604ca", "alias_sources": []}
{"id": "96153c74c2e46d4b", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing"], "section_title": "Video Editing", "section_body": "Video Editing\n\nAI-assisted editing for real footage. Not generation from prompts. Editing existing video fast.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "53a08ac153b2737b90069a7e00095e72ce389888e1476ed26b365480b23707e7", "alias_sources": []}
{"id": "9635e3647b6ce0dc", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "ECC v1.8 Additions", "Health Metrics"], "section_title": "Health Metrics", "section_body": "Health Metrics\n\nTrack:\n\nedits flagged by gates\n\naverage remediation time\n\nrepeat violations by category\n\nmerge blocks due to gate failures", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "1f6163cdeca85da9e7a7130bb40929bf7c83b7406dafa5f3d077de356f40891e", "alias_sources": []}
{"id": "9653a5550cb07693", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack these metrics monthly and trend quarterly:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Classification accuracy (post-audit) | > 98% | < 95% |\n| FTA utilization rate (eligible shipments) | > 90% | < 70% |\n| Entry rejection rate | < 2% | > 5% |\n| Prior disclosure frequency | < 2 per year | > 4 per year |\n| Screening false positive adjudication time | < 4 hours | > 24 hours |\n| Duty savings captured (FTA + FTZ + drawback) | Track trend | Declining quarter-over-quarter |\n| CBP examination rate | < 3% | > 7% |\n| Penalty exposure (annual) | $0 | Any material penalty assessed |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "36d2a7b972ecaad9c38bdc5f3a70e21356284c0e67da71c7c4a54d92e63f28e0", "alias_sources": []}
{"id": "96951f2961ec305a", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Source-First Workflow"], "section_title": "Source-First Workflow", "section_body": "Source-First Workflow\n\nBefore drafting, identify the source set:\n\npublished articles\n\nnotes or internal memos\n\nproduct demos\n\ndocs or changelogs\n\ntranscripts\n\nscreenshots\n\nprior posts from the same author\n\nIf the user wants a specific voice, build a voice profile from real examples before writing.\nUse `brand-voice` as the canonical workflow when voice consistency matters across more than one output.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:docs"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "be0d0ff4404eb3be125e9f1cf80cba91aadb5022ad4f0d7dcd221650ed3529cf", "alias_sources": []}
{"id": "96b3f6d7729e3066", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Core Workflow", "1. Read the public surface first"], "section_title": "1. Read the public surface first", "section_body": "Core Workflow\n\n1. Read the public surface first\n\nGather:\n\nGitHub issue or PR state\n\nauthor and branch status\n\nreview comments\n\nCI status\n\nlinked issues", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "ee07e9be3445c1288fe95a81fd791268e93edc9ae03afe1f92b75b0f33ffafeb", "alias_sources": []}
{"id": "96c52cbc094fe8d7", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nBias toward remotely reachable, user-controlled attack paths and throw away patterns that platforms routinely reject as informative or out of scope.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "476409828011f540d39c9d579664f18a2338956d2c932501788a815e62861974", "alias_sources": []}
{"id": "96cb3b21ba30ae68", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "Best Practices"], "section_title": "Best Practices", "section_body": "Examples\n\n**Basic audit**\n\n**Verbose mode**\n\n**Pre-expansion check**\n\nBest Practices\n\n**Token estimation**: use `words \u00d7 1.3` for prose, `chars / 4` for code-heavy files\n\n**MCP is the biggest lever**: each tool schema costs ~500 tokens; a 30-tool server costs more than all your skills combined\n\n**Agent descriptions are loaded always**: even if the agent is never invoked, its description field is present in every Task tool context\n\n**Verbose mode for debugging**: use when you need to pinpoint the exact files driving overhead, not for regular audits\n\n**Audit after changes**: run after adding any agent, skill, or MCP server to catch creep early", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "71aa82de9c285b858984e218d528065fb8d059ee5c844aad7ca924d28b1bd54c", "alias_sources": []}
{"id": "96d5c525b7972a74", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Best Practices", "2. Ordering Key"], "section_title": "2. Ordering Key", "section_body": "2. Ordering Key\n\nPut most frequently filtered columns first\n\nConsider cardinality (high cardinality first)\n\nOrder impacts compression", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "fb1068689f3afec0a0e9bb1b94f553403f9c1cdb81492ca0fff81a58ee963381", "alias_sources": []}
{"id": "96e5196d911d67bc", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "6. Testing", "Test isolation:"], "section_title": "Test isolation:", "section_body": "Test isolation:\n\n[ ] External dependencies (API clients, databases, services) are mocked or faked\n\n[ ] Each test file tests exactly one class/unit\n\n[ ] Tests verify behavior, not implementation details\n\n[ ] Stubs define only the behavior needed for each test (minimal stubbing)\n\n[ ] No shared mutable state between test cases", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "4a6423abae28db230e765789eaeb9bfdf5569642662b6c4164cbb598ce821f89", "alias_sources": []}
{"id": "96e530d55b374f47", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Module Organization", "Standard Project Layout"], "section_title": "Standard Project Layout", "section_body": "Three-Argument Open\n\nPath::Tiny for File Operations\n\nModule Organization\n\nStandard Project Layout", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "350a56d57ed0efa4970ea4e4990ae13cfa77c98a6d558afb9d606afec353b049", "alias_sources": []}
{"id": "96e5e574988833e0", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Writing Rule: SMIG"], "section_title": "Writing Rule: SMIG", "section_body": "URI\n\nUse for PRs, issues, or docs when helpful:\n\nWriting Rule: SMIG\n\nEach description should answer:\n\n**Situation**: what the reader is looking at\n\n**Mechanism**: how it works\n\n**Implication**: why it matters for this persona\n\n**Gotcha**: what a smart reader might miss\n\nKeep descriptions compact, specific, and grounded in the actual code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "aacbb9645d88f02d2dc775f75e7f1117426cffa59febb3f02c2f712ea63287b5", "alias_sources": []}
{"id": "97495568ee224d92", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Core Principles", "1. Simplicity and Clarity"], "section_title": "1. Simplicity and Clarity", "section_body": "Core Principles\n\n1. Simplicity and Clarity\n\nGo favors simplicity over cleverness. Code should be obvious and easy to read.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "19bad63e79bb8b41a9bad02cbef6557f69a9d050fdf67699ffeb08ae3e41ec27", "alias_sources": []}
{"id": "975bdef6275656cc", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Decision Frameworks", "Promotional Lift Decision Framework"], "section_title": "Promotional Lift Decision Framework", "section_body": "Promotional Lift Decision Framework\n\n**Is there historical lift data for this SKU-promo type combination?** \u2192 Use own-item lift with recency weighting (most recent 3 promos weighted 50/30/20).\n\n**No own-item data but same category has been promoted?** \u2192 Use analogous item lift adjusted for price point and brand tier.\n\n**Brand-new category or promo type?** \u2192 Use conservative category-average lift discounted 20%. Build in a wider safety stock buffer for the promo period.\n\n**Cross-promoted with another category?** \u2192 Model the traffic driver separately from the cross-promo beneficiary. Apply cross-elasticity coefficient if available; default 0.15 lift for cross-category halo.\n\n**Always model the post-promo dip.** Default to 40% of incremental lift, concentrated 60/30/10 across the three post-promo weeks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "da0ad0234c07163088eec4a9037941cb5e1a47c7909a786815518705d9b29318", "alias_sources": []}
{"id": "97748b761378236d", "skill_name": "continuous-agent-loop", "skill_description": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "skill_type": null, "section_path": ["Continuous Agent Loop", "Recovery"], "section_title": "Recovery", "section_body": "Recovery\n\nfreeze loop\n\nrun `/harness-audit`\n\nreduce scope to failing unit\n\nreplay with explicit acceptance criteria", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-agent-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.", "mtime": 1776507629.5723405, "body_hash": "969b3f76e2baedbcdcca72017f26184986ffc472d7492bc9baf8f3eb9b4a833f", "alias_sources": []}
{"id": "97a92060f629e03d", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing", "Core Pattern", "3. Create Mock Implementations for Testing"], "section_title": "3. Create Mock Implementations for Testing", "section_body": "2. Create Default (Production) Implementations\n\n3. Create Mock Implementations for Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "8d9dd968baf144d6b5f14bdadf9e2316b9ae72cfb2619474ba8e8f37bed115c7", "alias_sources": []}
{"id": "97d04847032a7ad1", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser runs `/skill-comply <path>`\n\nUser asks \"is this rule actually being followed?\"\n\nAfter adding new rules/skills, to verify agent compliance\n\nPeriodically as part of quality maintenance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "43c5f9a748747215e8d578c985290d7944ab242139a40c35f3ed08277dc97a87", "alias_sources": []}
{"id": "97e978e665baa389", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Perl code (follow TDD: red, green, refactor)\n\nDesigning test suites for Perl modules or applications\n\nReviewing Perl test coverage\n\nSetting up Perl testing infrastructure\n\nMigrating tests from Test::More to Test2::V0\n\nDebugging failing Perl tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "fef24873b05f037897b2ef490782c375636b6ab1ead97ed622c517a23773da23", "alias_sources": []}
{"id": "97f2b11d8ab7033e", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Footer"], "section_title": "Footer", "section_body": "Footer\n\nNot what you need? Tell me what to adjust, or make a normal task request\nif you want execution instead of prompt optimization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "6ebed63f82f7cbc726854a2496e355e20c5ade84b6f494862363d2c624921440", "alias_sources": []}
{"id": "98060ed6450c7db6", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\nData that must always be fresh (real-time feeds)\n\nCache entries that would be extremely large (consider streaming instead)\n\nResults that depend on parameters beyond file content (e.g., different extraction configs)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "dfbfea5b5d31b7e625a858865221930545e44260092e3871d805035a754a1f22", "alias_sources": []}
{"id": "98175dacefd00321", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns"], "section_title": "Database Migration Patterns", "section_body": "Database Migration Patterns\n\nSafe, reversible database schema changes for production systems.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "6f3accc135b0d8bab06e26a88f60333c04b41428f3cf152a8b2e6a945defaea4", "alias_sources": []}
{"id": "984115469bbc0b59", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "Implementation"], "section_title": "Implementation", "section_body": "Unlock\n\nImplementation\n\nUses PreToolUse hooks to intercept Bash, Write, Edit, and MultiEdit tool calls. Checks the command/path against the active rules before allowing execution.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "20593330457f0b51473cb39a5c17f11ee0b19623cd51bd1f3b96839b648f1623", "alias_sources": []}
{"id": "988a2e0fabe74cc3", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Configuration"], "section_title": "Configuration", "section_body": "Hook Setup\n\nAdd to your `~/.claude/settings.json`:\n\nConfiguration\n\nEnvironment variables:\n\n`COMPACT_THRESHOLD` \u2014 Tool calls before first suggestion (default: 50)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "c9104ec0522692b8d18db75b23a7970be1c4468786231464acdb64436ff0fea6", "alias_sources": []}
{"id": "989dbb436f094abb", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Null safety with Elvis operator:**\n\n**Sealed class for exhaustive results:**\n\n**Structured concurrency with async/await:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "6ccd2a24082332532ac9387ac5cf26a30939eda4ba6dd0017453c31947fce608", "alias_sources": []}
{"id": "98b24fc76096a5b1", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Commands"], "section_title": "Commands", "section_body": "Commands\n\n| Command | Action |\n|---------|--------|\n| `/opensource fork PROJECT` | Full pipeline: fork + sanitize + package |\n| `/opensource verify PROJECT` | Run sanitizer on existing repo |\n| `/opensource package PROJECT` | Generate CLAUDE.md + setup.sh + README |\n| `/opensource list` | Show all staged projects |\n| `/opensource status PROJECT` | Show reports for a staged project |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "f2fa1a9471c17793ea301e00038cedc9eeaca5932d608623be1c7b3b8dab28a0", "alias_sources": []}
{"id": "98edb352d4eed5e0", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Modes", "`aggressive`"], "section_title": "`aggressive`", "section_body": "`aggressive`\n\nlarger prune queue\n\nlower tolerance for stale non-follow-backs\n\nstill review-gated before apply", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "dc50e5b90eb539dc94738a028322590cc046562460c421dfdd6822a24d3d279c", "alias_sources": []}
{"id": "990ac9c4fa88ddba", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Examples", "Safe reserve math"], "section_title": "Safe reserve math", "section_body": "Safe reserve math\n\nFor large reserve math, avoid naive `a * b / c` when overflow risk exists.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "e0a6b41a1269cedab239dd6126a2a41b75f4154c9c9b6f561b45ce0516db6f82", "alias_sources": []}
{"id": "990c06d4c419b7e1", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Error handling", "Common pitfalls"], "section_title": "Common pitfalls", "section_body": "Generative media\n\nError handling\n\nCommon pitfalls\n\n| Scenario | Error message | Solution |\n|----------|--------------|----------|\n| Indexing an already-indexed video | `Spoken word index for video already exists` | Use `video.index_spoken_words(force=True)` to skip if already indexed |\n| Scene index already exists | `Scene index with id XXXX already exists` | Extract the existing `scene_index_id` from the error with `re.search(r\"id\\s+([a-f0-9]+)\", str(e))` |\n| Search finds no matches | `InvalidRequestError: No results found` | Catch the exception and treat as empty results (`shots = []`) |\n| Reframe times out | Blocks indefinitely on long videos | Use `start`/`end` to limit segment, or pass `callback_url` for async |\n| Negative timestamps on Timeline | Silently produces broken stream | Always validate `start >= 0` before creating `VideoAsset` |\n| `generate_video()` / `create_collection()` fails | `Operation not allowed` or `maximum limit` | Plan-gated features \u2014 inform the user about plan limits |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "375928eb1c6a9ea98ef21ae68d833f77072d908d4c5bf9218a6359e994b95e03", "alias_sources": []}
{"id": "99101043d9d59093", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding"], "section_title": "Codebase Onboarding", "section_body": "Codebase Onboarding\n\nSystematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "764dbdaf6a951730ccde5f2f23402e0719f966ef6557d806ed0688ba72842c2f", "alias_sources": []}
{"id": "9917f31fda3d63c8", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Inputs"], "section_title": "Inputs", "section_body": "Inputs\n\nRead only what is needed:\n\nProduct intent\n\nissue, discussion, PRD, roadmap note, founder message\n\nCurrent architecture\n\nrelevant repo docs, contracts, schemas, routes, existing workflows\n\nExisting capability context\n\n`PRODUCT.md`, design docs, RFCs, migration notes, operating-model docs\n\nDelivery constraints\n\nauth, billing, compliance, rollout, backwards compatibility, performance, review policy", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:review", "phase:docs"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "50ce1eb7aebd42dc7d07b8c641487a720a7e4e25dadd5913369c5d87f79afd9d", "alias_sources": []}
{"id": "991badd72b059c41", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Collection Workflow"], "section_title": "Collection Workflow", "section_body": "Collection Workflow\n\nGather 5 to 20 representative samples when available.\n\nPrefer recent material over old material unless the user says the older writing is more canonical.\n\nSeparate \"public launch voice\" from \"private working voice\" if the source set clearly splits.\n\nIf live X access is available, use `x-api` to pull recent original posts before drafting.\n\nIf site copy matters, include the current ECC landing page and repo/plugin framing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "72d67e3e6f1f8c5b45e17944f0cf74ad89174366486a4ad87c9feb6854308287", "alias_sources": []}
{"id": "9929a661b82d56b0", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Outputs"], "section_title": "Outputs", "section_body": "Outputs\n\nRFC execution log\n\nunit scorecards\n\ndependency graph snapshot\n\nintegration risk summary", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "20ef6cf8d7d528044c32cae96be74fb967b962e21f0860cd217380bd692d2501", "alias_sources": []}
{"id": "992b7669e642ed36", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Decision Frameworks", "Disruption Re-Sequencing"], "section_title": "Disruption Re-Sequencing", "section_body": "Disruption Re-Sequencing\n\nWhen a disruption invalidates the current schedule:\n\n**Assess impact window:** How many hours/shifts is the disrupted resource unavailable? Is it the constraint?\n\n**Freeze committed work:** Jobs already in process or within 2 hours of start should not be moved unless physically impossible.\n\n**Re-sequence remaining jobs:** Apply the job priority framework above to all unfrozen jobs, using updated resource availability.\n\n**Communicate within 30 minutes:** Publish the revised schedule to all affected work centres, supervisors, and material handlers.\n\n**Set a stability lock:** No further schedule changes for at least 4 hours (or until next shift start) unless a new disruption occurs. Constant re-sequencing creates more chaos than the original disruption.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "8ad8fdf94333dfa05df6f52e05377cf3684a47aedd5a74645a518b4097fd0ff7", "alias_sources": []}
{"id": "99346b3b43239713", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "/opensource status PROJECT\n\nStaging Layout\n\nAnti-Patterns\n\n**Never** push to GitHub without user approval\n\n**Never** skip the sanitizer \u2014 it is the safety gate\n\n**Never** proceed after a sanitizer FAIL without fixing all critical findings\n\n**Never** leave `.env`, `*.pem`, or `credentials.json` in the staging directory", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "4db6f89c0796e138c969f085e95a0c424750b6af56f50e442e2373fad105ae10", "alias_sources": []}
{"id": "994052efe4002a51", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Smart Template System"], "section_title": "Smart Template System", "section_body": "Smart Template System\n\nRed flags in any template must trigger a visible, non-dismissable alert \u2014 NOT a toast notification.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "1782bcb1ba60ab2d5012407e18e72629d497324d2e2d1958ad5456f0e334a79a", "alias_sources": []}
{"id": "9982f4b80623fd60", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Core Workflow", "4. Translate into execution"], "section_title": "4. Translate into execution", "section_body": "4. Translate into execution\n\nEnd with the exact handoff:\n\nready for direct implementation\n\nneeds architecture review first\n\nneeds product clarification first\n\nIf useful, point to the next ECC-native lane:\n\n`project-flow-ops`\n\n`workspace-surface-audit`\n\n`api-connector-builder`\n\n`dashboard-builder`\n\n`tdd-workflow`\n\n`verification-loop`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:test", "phase:review"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "46d5a995366938b67a5b03fb6153541647072ae10f9bdb57b9d0469c9fd3b886", "alias_sources": []}
{"id": "9984cb7d3ab944de", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "The Instinct Model"], "section_title": "The Instinct Model", "section_body": "The Instinct Model\n\nAn instinct is a small learned behavior:\n\n**Properties:**\n\n**Atomic** -- one trigger, one action\n\n**Confidence-weighted** -- 0.3 = tentative, 0.9 = near certain\n\n**Domain-tagged** -- code-style, testing, git, debugging, workflow, etc.\n\n**Evidence-backed** -- tracks what observations created it\n\n**Scope-aware** -- `project` (default) or `global`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "8ced399157a2374fb5ade701bf4ea36096a712724c2c14702f08b95f5a692f3f", "alias_sources": []}
{"id": "99a0329b41bda087", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`deep-research` \u2014 Full research workflow using firecrawl + exa together\n\n`market-research` \u2014 Business-oriented research with decision frameworks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "2bad71245694108651d440c99a45082f60f8f27400586decfa873c37cc230313", "alias_sources": []}
{"id": "99a162e692f41a0f", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns"], "section_title": "Laravel Development Patterns", "section_body": "Laravel Development Patterns\n\nProduction-grade Laravel architecture patterns for scalable, maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "d05287e8f559346fd0cf89f1e5c3c7a9243c3b636ce9f320a7f2849e9f433b86", "alias_sources": []}
{"id": "99d191614c83c107", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification"], "section_title": "Healthcare Eval Harness \u2014 Patient Safety Verification", "section_body": "Healthcare Eval Harness \u2014 Patient Safety Verification\n\nAutomated verification system for healthcare application deployments. A single CRITICAL failure blocks deployment. Patient safety is non-negotiable.\n\n**Note:** Examples use Jest as the reference test runner. Adapt commands for your framework (Vitest, pytest, PHPUnit, etc.) \u2014 the test categories and pass thresholds are framework-agnostic.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "600bbf7b693fdc4ee65241ef755e2091f15e72cf1df7a2ca0f9e2d5678fced96", "alias_sources": []}
{"id": "99dba968d70025d9", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "7. Deliver"], "section_title": "7. Deliver", "section_body": "7. Deliver\n\nAt handoff:\n\ndelete temporary preview files unless the user wants to keep them\n\nopen the deck with the platform-appropriate opener when useful\n\nsummarize file path, preset used, slide count, and easy theme customization points\n\nUse the correct opener for the current OS:\n\nmacOS: `open file.html`\n\nLinux: `xdg-open file.html`\n\nWindows: `start \"\" file.html`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "c134e7582928658f1aa0463b09f56ab6774abfce0ee4c769e74a25383a84f3cb", "alias_sources": []}
{"id": "99ea670007a9d7a6", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Step Types", "File + line"], "section_title": "File + line", "section_body": "Directory\n\nUse to orient the reader to a module:\n\nFile + line\n\nThis is the default step type:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "05a62909d18269725ade155a5bc78754fcf958b18d96a9c6914846e5dc353e5a", "alias_sources": []}
{"id": "9a057b2a2671b44a", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Concurrency & Parallelism (CP.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Safe Locking\n\nMultiple Mutexes\n\nAnti-Patterns\n\n`volatile` for synchronization (CP.8 -- it's for hardware I/O only)\n\nDetaching threads (CP.26 -- lifetime management becomes nearly impossible)\n\nUnnamed lock guards: `std::lock_guard<std::mutex>(m);` destroys immediately (CP.44)\n\nHolding locks while calling callbacks (CP.22 -- deadlock risk)\n\nLock-free programming without deep expertise (CP.100)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "1ad0e1424371f55c5f9910b6148ffbac1a93a6e766d1ad805bf322f5fbfca03a", "alias_sources": []}
{"id": "9a25f2ec1453de7e", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 5: Generated Assets (ElevenLabs / fal.ai)", "Music and SFX with fal.ai"], "section_title": "Music and SFX with fal.ai", "section_body": "Voiceover with ElevenLabs\n\nMusic and SFX with fal.ai\n\nUse the `fal-ai-media` skill for:\n\nBackground music generation\n\nSound effects (ThinkSound model for video-to-audio)\n\nTransition sounds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "5790f253bd8beea49f0c7b810fd9a92ccc0399911a01817ec42c0a88cdc243bd", "alias_sources": []}
{"id": "9a345032e837e93e", "skill_name": "bun-runtime", "skill_description": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "skill_type": null, "section_path": ["Bun Runtime", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Runtime**: Drop-in Node-compatible runtime (built on JavaScriptCore, implemented in Zig).\n\n**Package manager**: `bun install` is significantly faster than npm/yarn. Lockfile is `bun.lock` (text) by default in current Bun; older versions used `bun.lockb` (binary).\n\n**Bundler**: Built-in bundler and transpiler for apps and libraries.\n\n**Test runner**: Built-in `bun test` with Jest-like API.\n\n**Migration from Node**: Replace `node script.js` with `bun run script.js` or `bun script.js`. Run `bun install` in place of `npm install`; most packages work. Use `bun run` for npm scripts; `bun x` for npx-style one-off runs. Node built-ins are supported; prefer Bun APIs where they exist for better performance.\n\n**Vercel**: Set runtime to Bun in project settings. Build: `bun run build` or `bun build ./src/index.ts --outdir=dist`. Install: `bun install --frozen-lockfile` for reproducible deploys.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\bun-runtime\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:build", "phase:test"], "trigger_hints": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "mtime": 1776507629.4882107, "body_hash": "f5994bf441fcaa0e9d30cf182ddd15bbe77740e146c04cb7cc1f598be8624565", "alias_sources": []}
{"id": "9a4ba14f83f52f29", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Full Stocktake Flow", "Phase 1 \u2014 Inventory"], "section_title": "Phase 1 \u2014 Inventory", "section_body": "Full Stocktake Flow\n\nPhase 1 \u2014 Inventory\n\nRun: `bash ~/.claude/skills/skill-stocktake/scripts/scan.sh`\n\nThe script enumerates skill files, extracts frontmatter, and collects UTC mtimes.\nProject dir is auto-detected from `$PWD/.claude/skills`; pass it explicitly only if needed.\nPresent the scan summary and inventory table from the script output:\n\n| Skill | 7d use | 30d use | Description |\n|-------|--------|---------|-------------|", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "31dfe61b1986cea2bbd7e1a207c6b082fab4f296b9a5e86d309e34cf162ac703", "alias_sources": []}
{"id": "9a891a71b45e30f1", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)"], "section_title": "C++ Coding Standards (C++ Core Guidelines)", "section_body": "C++ Coding Standards (C++ Core Guidelines)\n\nComprehensive coding standards for modern C++ (C++17/20/23) derived from the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines). Enforces type safety, resource safety, immutability, and clarity.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "4533dc750358fba43fe6a1ce57e8f125b0cb9feeb50605a1273c2a700865bfa7", "alias_sources": []}
{"id": "9a91dad319c466fd", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Core Model"], "section_title": "Core Model", "section_body": "Core Model\n\nAgent output quality is constrained by:\n\nAction space quality\n\nObservation quality\n\nRecovery quality\n\nContext budget quality", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "4eaffbabe9df2b2d8f64e8d6e58e225cbf79f7b6b554dca7e4b5587da47557a5", "alias_sources": []}
{"id": "9a92333912656920", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new Kotlin code\n\nReviewing Kotlin code\n\nRefactoring existing Kotlin code\n\nDesigning Kotlin modules or libraries\n\nConfiguring Gradle Kotlin DSL builds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "28961433070b6d9a68d513080a51004da7925751008d74f10abf115c310f5dc3", "alias_sources": []}
{"id": "9a993f3f48d95506", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Interface Design", "Define Interfaces Where They're Used"], "section_title": "Define Interfaces Where They're Used", "section_body": "Interface Design\n\nSmall, Focused Interfaces\n\nDefine Interfaces Where They're Used", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "3640abcb4e6dcabbe5c88ccd4c06f603f5fa9314b791cb8bfdb62878bd785e55", "alias_sources": []}
{"id": "9aa155c580e2ecae", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works", "Phase 2: Scope Assessment"], "section_title": "Phase 2: Scope Assessment", "section_body": "Phase 2: Scope Assessment\n\nIf Phase 0 detected a project, use codebase size as a signal. Otherwise, estimate\nfrom the prompt description alone and mark the estimate as uncertain.\n\n| Scope | Heuristic | Orchestration |\n|-------|-----------|---------------|\n| TRIVIAL | Single file, < 50 lines | Direct execution |\n| LOW | Single component or module | Single command or skill |\n| MEDIUM | Multiple components, same domain | Command chain + /verify |\n| HIGH | Cross-domain, 5+ files | /plan first, then phased execution |\n| EPIC | Multi-session, multi-PR, architectural shift | Use blueprint skill for multi-session plan |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "210b6f7efe200526a1bb337fda46e6f311ef3647d3e6a80d601da87d0812388b", "alias_sources": []}
{"id": "9aa6c585a194ddf7", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Resources"], "section_title": "Resources", "section_body": "Resources\n\n[OWASP Top 10](https://owasp.org/www-project-top-ten/)\n\n[Next.js Security](https://nextjs.org/docs/security)\n\n[Supabase Security](https://supabase.com/docs/guides/auth)\n\n[Web Security Academy](https://portswigger.net/web-security)\n\n**Remember**: Security is not optional. One vulnerability can compromise the entire platform. When in doubt, err on the side of caution.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:review", "phase:docs"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "10d3fe385d3c3f95fc95a1c443de96fd49cbd57e2e78d7af064e6d14d8158bcc", "alias_sources": []}
{"id": "9ae1d3d81cd76999", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Core Principles", "1. Tests BEFORE Code"], "section_title": "1. Tests BEFORE Code", "section_body": "Core Principles\n\n1. Tests BEFORE Code\n\nALWAYS write tests first, then implement code to make tests pass.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "b9d3994c349175886d4a1ee889d2a12d03754abd0adffa57fbbf28fdcce5cfee", "alias_sources": []}
{"id": "9aeab5c8712dad81", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Gate Types", "Edit / MultiEdit Gate (first edit per file)"], "section_title": "Edit / MultiEdit Gate (first edit per file)", "section_body": "Gate Types\n\nEdit / MultiEdit Gate (first edit per file)\n\nMultiEdit is handled identically \u2014 each file in the batch is gated individually.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "08bfa9e168f7980e4c22eda30752de93848c12088a297a26cb286c10cb1b312e", "alias_sources": []}
{"id": "9af577efe0c84b7b", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Extension Functions", "Adding Functionality Without Inheritance"], "section_title": "Adding Functionality Without Inheritance", "section_body": "Scope Functions\n\nWhen to Use Each\n\nAnti-Patterns\n\nExtension Functions\n\nAdding Functionality Without Inheritance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "64c5e90b9a492d0c661be059395598cd96a081d37ec20e7cee51e0cc6f20d10d", "alias_sources": []}
{"id": "9b136faa994ae63e", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Operating Principles"], "section_title": "Operating Principles", "section_body": "Operating Principles\n\nDefine completion criteria before execution.\n\nDecompose work into agent-sized units.\n\nRoute model tiers by task complexity.\n\nMeasure with evals and regression checks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "5a6b0fb18917f185d496f37c4636a1818b49b2bb15c7850608d667721f6ee23d", "alias_sources": []}
{"id": "9b5879e990bfd371", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nInvoke this skill:\n\nAfter completing a feature or significant code change\n\nBefore creating a PR\n\nWhen you want to ensure quality gates pass\n\nAfter refactoring", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "f3868452f5b3f6cf888b7fb8bf0c9369cdfe8512e6c7fdbbb7dcb1860c1ce01f", "alias_sources": []}
{"id": "9ba455d8db0bd6da", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Composable Design", "Slot-Based APIs"], "section_title": "Slot-Based APIs", "section_body": "Composable Design\n\nSlot-Based APIs\n\nDesign composables with slot parameters for flexibility:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "9b0df60de0451c8746f51ca6ea0dd2b635ea8760e7747b7f410fc381369e854c", "alias_sources": []}
{"id": "9bbed1f4b814f9f4", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "Core Pattern", "Combining with @Observable ViewModel"], "section_title": "Combining with @Observable ViewModel", "section_body": "Usage\n\nAll calls are automatically async due to actor isolation:\n\nCombining with @Observable ViewModel", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "ed490d84f03e58745c9eb894c1a98994d5688152cf2155af99f3debc35997c9e", "alias_sources": []}
{"id": "9bc9238c2f0516a0", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Identify target code** \u2014 Find the function, trait, or module to test\n\n**Write a test** \u2014 Use `#[test]` in a `#[cfg(test)]` module, rstest for parameterized tests, or proptest for property-based tests\n\n**Mock dependencies** \u2014 Use mockall to isolate the unit under test\n\n**Run tests (RED)** \u2014 Verify the test fails with the expected error\n\n**Implement (GREEN)** \u2014 Write minimal code to pass\n\n**Refactor** \u2014 Improve while keeping tests green\n\n**Check coverage** \u2014 Use cargo-llvm-cov, target 80%+", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "3381d6b6924e0898ad03ceda6129b1b8be206e413bdfa2027cf12697ff36048a", "alias_sources": []}
{"id": "9be63a96d954d507", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Core Principles", "1. Device-Agnostic Code"], "section_title": "1. Device-Agnostic Code", "section_body": "Core Principles\n\n1. Device-Agnostic Code\n\nAlways write code that works on both CPU and GPU without hardcoding devices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "86938113bc00b8e3a059226906b4f9114b5f8eed496e5c49b1ab91dbf5b21d98", "alias_sources": []}
{"id": "9c09323e9548862b", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "How It Works", "Phase 1: Reconnaissance"], "section_title": "Phase 1: Reconnaissance", "section_body": "How It Works\n\nPhase 1: Reconnaissance\n\nGather raw signals about the project without reading every file. Run these checks in parallel:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "895cb8b87ddfdde3a378866b66e6b08c103d35b04b46b473e07f475483b81fa2", "alias_sources": []}
{"id": "9c18db6f93fa2dc6", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`brand-voice` for the reusable voice profile\n\n`social-graph-ranker` for the standalone bridge-scoring and warm-path math\n\n`lead-intelligence` for weighted target and warm-path discovery\n\n`x-api` for X graph access, drafting, and optional apply flows\n\n`content-engine` when the user also wants public launch content around network moves", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "d001664cd961b4288eadc6013803ba1df631e84ab4b8b028dbb0ca9f11df65b0", "alias_sources": []}
{"id": "9c1c2e6560f7c991", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Quality Pipeline per Unit"], "section_title": "Quality Pipeline per Unit", "section_body": "Quality Pipeline per Unit\n\nresearch\n\nimplementation plan\n\nimplementation\n\ntests\n\nreview\n\nmerge-ready report", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "f6542b83f9ce5125e29bdce6eaee0d2d4a7d0821bde2ea3c6894454fc76ac129", "alias_sources": []}
{"id": "9c4e974b1a4bd418", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder"], "section_title": "Dashboard Builder", "section_body": "Dashboard Builder\n\nUse this when the task is to build a dashboard people can operate from.\n\nThe goal is not \"show every metric.\" The goal is to answer:\n\nis it healthy?\n\nwhere is the bottleneck?\n\nwhat changed?\n\nwhat action should someone take?", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "f347d22c267f438f0256c3d747fd92f36260667ffcb12e25f541e48ef13562ea", "alias_sources": []}
{"id": "9c67ab3c112a3d4b", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "When to Use", "Avoid when"], "section_title": "Avoid when", "section_body": "Avoid when\n\n\u7528\u6237\u53ea\u9700\u5fae\u8c03\u5df2\u6709 SOUL.md\n\n\u76ee\u6807\u5e73\u53f0\u4e0d\u662f OpenClaw\uff0c\u9700\u8981\u7684\u662f\u5176\u4ed6 Agent \u6846\u67b6\u4e13\u7528\u683c\u5f0f\n\n\u7528\u6237\u9700\u8981\u7eaf\u5de5\u5177\u578b Agent\uff0c\u4e0d\u9700\u8981\u89d2\u8272\u5316\u7075\u9b42", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "cf32670fb247f998ce6457f011ff0cb4ec56046a52f5bcd4d4f29860242a2161", "alias_sources": []}
{"id": "9c73bdf837fea835", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Auth, Guards, and Request Context"], "section_title": "Auth, Guards, and Request Context", "section_body": "Auth, Guards, and Request Context\n\nKeep auth strategies and guards module-local unless they are truly shared.\n\nEncode coarse access rules in guards, then do resource-specific authorization in services.\n\nPrefer explicit request types for authenticated request objects.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "3ecce05f56be7a9a31883a09037f031962e4eecb6a53438221ea22a7da4b602c", "alias_sources": []}
{"id": "9c74ebe0d487273f", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill", "How It Works", "Phase 2: Cross-read, Match & Verdict (LLM Judgment)"], "section_title": "Phase 2: Cross-read, Match & Verdict (LLM Judgment)", "section_body": "Phase 2: Cross-read, Match & Verdict (LLM Judgment)\n\nExtraction and matching are unified in a single pass. Rules files are small enough (~800 lines total) that the full text can be provided to the LLM \u2014 no grep pre-filtering needed.\n\nBatching\n\nBatching\n\nGroup skills into **thematic clusters** based on their descriptions. Analyze each cluster in a subagent with the full rules text.\n\nCross-batch Merge\n\nCross-batch Merge\n\nAfter all batches complete, merge candidates across batches:\n\nDeduplicate candidates with the same or overlapping principles\n\nRe-check the \"2+ skills\" requirement using evidence from **all** batches combined \u2014 a principle found in 1 skill per batch but 2+ skills total is valid\n\nSubagent Prompt\n\nSubagent Prompt\n\nLaunch a general-purpose Agent with the following prompt:\n\nVerdict Reference\n\nVerdict Reference\n\n| Verdict | Meaning | Presented to User |\n|---------|---------|-------------------|\n| **Append** | Add to existing section | Target + draft |\n| **Revise** | Fix inaccurate/insufficient content | Target + reason + before/after |\n| **New Section** | Add new section to existing file | Target + draft |\n| **New File** | Create new rule file | Filename + full draft |\n| **Already Covered** | Covered in rules (possibly different wording) | Reason (1 line) |\n| **Too Specific** | Should stay in skills | Link to relevant skill |\n\nVerdict Quality Requirements\n\nVerdict Quality Requirements", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "6c2db6a1039464c32f136c60dec57798adaa19bd5b27055472dc2b3d1039ab21", "alias_sources": []}
{"id": "9cea4c953e984043", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Demand Planner) \u2192 Level 2 (Planning Manager, 24 hours) \u2192 Level 3 (Director of Supply Chain Planning, 48 hours) \u2192 Level 4 (VP Supply Chain, 72+ hours or any A-item stockout at enterprise customer)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "a1c10a76a8d88e64b3020332d94e7c4ad7980c143fca6c1e003e6f7ecfc5f0d4", "alias_sources": []}
{"id": "9cf282d9b340659f", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "3. Infinite Agentic Loop", "Batching Strategy"], "section_title": "Batching Strategy", "section_body": "Batching Strategy\n\n| Count | Strategy |\n|-------|----------|\n| 1-5 | All agents simultaneously |\n| 6-20 | Batches of 5 |\n| infinite | Waves of 3-5, progressive sophistication |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "190e0053d02c64f512378d7caf0da2926565c8bdff87a8b5a744c676354dcc64", "alias_sources": []}
{"id": "9cf5f44a05f187ae", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "High-Signal Failure Patterns", "3. Free tier on premium path"], "section_title": "3. Free tier on premium path", "section_body": "3. Free tier on premium path\n\nIf free queued jobs can still route into Anthropic or another premium provider when keys exist, that is real spend leakage even if the user never sees the premium result.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "90214d0965f2426126f44c635166494ef66648d51cc0c87e9bd5d5febfaac95e", "alias_sources": []}
{"id": "9d03361ebd0c05f5", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWorking on any codebase where file edits affect multiple modules\n\nProjects with data files that have specific schemas or date formats\n\nTeams where AI-generated code must match existing patterns\n\nAny workflow where Claude tends to guess instead of investigating", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "356821ce926e7597d27d08377ddf8f2229b0687310e64e0a36c07e4d6ca134fb", "alias_sources": []}
{"id": "9d3b74563fa31565", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Research Standards"], "section_title": "Research Standards", "section_body": "Research Standards\n\nEvery important claim needs a source.\n\nPrefer recent data and call out stale data.\n\nInclude contrarian evidence and downside cases.\n\nTranslate findings into a decision, not just a summary.\n\nSeparate fact, inference, and recommendation clearly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "fcb9696818a333ebe4148bd3fc01f034a1abebd6b2b7a2ab7a2b9e3a59992fbb", "alias_sources": []}
{"id": "9d5a6e334297177c", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where the obvious approach is wrong. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**Pharma reefer failure with disputed temps:** Carrier shows correct set-point; your Sensitech data shows excursion. The dispute is about sensor placement and pre-cooling. Never accept carrier's single-point reading \u2014 demand continuous data logger download.\n\n**Consignee claims damage but caused it during unloading:** POD is signed clean, but consignee calls 2 hours later claiming damage. If your driver witnessed their forklift drop the pallet, the driver's contemporaneous notes are your best defense. Without that, concealed damage claim against you is likely.\n\n**72-hour scan gap on high-value shipment:** No tracking updates doesn't always mean lost. LTL scan gaps happen at busy terminals. Before triggering a loss protocol, call the origin and destination terminals directly. Ask for physical trailer/bay location.\n\n**Cross-border customs hold:** When a shipment is held at customs, determine quickly if the hold is for documentation (fixable) or compliance (potentially unfixable). Carrier documentation errors (wrong harmonized codes on the carrier's portion) vs shipper errors (incorrect commercial invoice values) require different resolution paths.\n\n**Partial deliveries against single BOL:** Multiple delivery attempts where quantities don't match. Maintain a running tally. Don't file shortage claim until all partials are reconciled \u2014 carriers will use premature claims as evidence of shipper error.\n\n**Broker insolvency mid-shipment:** Your freight is on a truck, the broker who arranged it goes bankrupt. The actual carrier has a lien right. Determine quickly: is the carrier paid? If not, negotiate directly with the carrier for release.\n\n**Concealed damage discovered at final customer:** You delivered to distributor, distributor delivered to end customer, end customer finds damage. The chain-of-custody documentation determines who bears the loss.\n\n**Peak surcharge dispute during weather event:** Carrier applies emergency surcharge retroactively. Contract may or may not allow this \u2014 check force majeure and fuel surcharge clauses specifically.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy", "phase:docs"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "ee50cb7940c0dfa5635d17754a1fc1330aa571fe5cee3ae97eddd97a309518f2", "alias_sources": []}
{"id": "9d68e685493ea3ca", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Migration Playbook"], "section_title": "Migration Playbook", "section_body": "Migration Playbook\n\nPick one vertical slice (single endpoint/job) with frequent change pain.\n\nExtract a use-case boundary with explicit input/output types.\n\nIntroduce outbound ports around existing infrastructure calls.\n\nMove orchestration logic from controllers/services into the use case.\n\nKeep old adapters, but make them delegate to the new use case.\n\nAdd tests around the new boundary (unit + adapter integration).\n\nRepeat slice-by-slice; avoid full rewrites.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "56fc08b045cd2ef87ee5a349dc7fb94b127d30da6cdfd52a346a1c1a10144dfb", "alias_sources": []}
{"id": "9d89653973172ee5", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Form Requests and Validation"], "section_title": "Form Requests and Validation", "section_body": "Example Migration\n\nForm Requests and Validation\n\nKeep validation in form requests and transform inputs to DTOs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "ce10ce8c17efc0fe24d620ec2e7b8470f9def5d26cc253845ad4d840ff66e024", "alias_sources": []}
{"id": "9d92d88e6ed586a7", "skill_name": "remotion-video-creation", "skill_description": "Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.", "skill_type": null, "section_path": ["When to use", "How to use"], "section_title": "How to use", "section_body": "How to use\n\nRead individual rule files for detailed explanations and code examples:\n\n[rules/3d.md](rules/3d.md) - 3D content in Remotion using Three.js and React Three Fiber\n\n[rules/animations.md](rules/animations.md) - Fundamental animation skills for Remotion\n\n[rules/assets.md](rules/assets.md) - Importing images, videos, audio, and fonts into Remotion\n\n[rules/audio.md](rules/audio.md) - Using audio and sound in Remotion - importing, trimming, volume, speed, pitch\n\n[rules/calculate-metadata.md](rules/calculate-metadata.md) - Dynamically set composition duration, dimensions, and props\n\n[rules/can-decode.md](rules/can-decode.md) - Check if a video can be decoded by the browser using Mediabunny\n\n[rules/charts.md](rules/charts.md) - Chart and data visualization patterns for Remotion\n\n[rules/compositions.md](rules/compositions.md) - Defining compositions, stills, folders, default props and dynamic metadata\n\n[rules/display-captions.md](rules/display-captions.md) - Displaying captions in Remotion with TikTok-style pages and word highlighting\n\n[rules/extract-frames.md](rules/extract-frames.md) - Extract frames from videos at specific timestamps using Mediabunny\n\n[rules/fonts.md](rules/fonts.md) - Loading Google Fonts and local fonts in Remotion\n\n[rules/get-audio-duration.md](rules/get-audio-duration.md) - Getting the duration of an audio file in seconds with Mediabunny\n\n[rules/get-video-dimensions.md](rules/get-video-dimensions.md) - Getting the width and height of a video file with Mediabunny\n\n[rules/get-video-duration.md](rules/get-video-duration.md) - Getting the duration of a video file in seconds with Mediabunny\n\n[rules/gifs.md](rules/gifs.md) - Displaying GIFs synchronized with Remotion's timeline\n\n[rules/images.md](rules/images.md) - Embedding images in Remotion using the Img component\n\n[rules/import-srt-captions.md](rules/import-srt-captions.md) - Importing .srt subtitle files into Remotion using @remotion/captions\n\n[rules/lottie.md](rules/lottie.md) - Embedding Lottie animations in Remotion\n\n[rules/measuring-dom-nodes.md](rules/measuring-dom-nodes.md) - Measuring DOM element dimensions in Remotion\n\n[rules/measuring-text.md](rules/measuring-text.md) - Measuring text dimensions, fitting text to containers, and checking overflow\n\n[rules/sequencing.md](rules/sequencing.md) - Sequencing patterns for Remotion - delay, trim, limit duration of items\n\n[rules/tailwind.md](rules/tailwind.md) - Using TailwindCSS in Remotion\n\n[rules/text-animations.md](rules/text-animations.md) - Typography and text animation patterns for Remotion\n\n[rules/timing.md](rules/timing.md) - Interpolation curves in Remotion - linear, easing, spring animations\n\n[rules/transcribe-captions.md](rules/transcribe-captions.md) - Transcribing audio to generate captions in Remotion\n\n[rules/transitions.md](rules/transitions.md) - Scene transition patterns for Remotion\n\n[rules/trimming.md](rules/trimming.md) - Trimming patterns for Remotion - cut the beginning or end of animations\n\n[rules/videos.md](rules/videos.md) - Embedding videos in Remotion - trimming, volume, speed, looping, pitch", "source_path": "CODEFORGE\\everything-claude-code\\skills\\remotion-video-creation\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.", "mtime": 1776507629.9522758, "body_hash": "8d46bead560fce00a73df781b9aa3b0d66bcdb71ff4c4c7774e266a4f6e2779f", "alias_sources": []}
{"id": "9db90ec3fda99701", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Good Outcomes"], "section_title": "Good Outcomes", "section_body": "Output Format\n\nReturn the result in this order:\n\nGood Outcomes\n\nProduct intent is now concrete enough to implement without rediscovering hidden constraints mid-PR.\n\nEngineering review has a durable artifact instead of relying on memory or Slack context.\n\nThe resulting plan is reusable across Claude Code, Codex, Cursor, OpenCode, and ECC 2.0 planning surfaces.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:review"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "12fb389cba6a3c52af69bd1c73ebca6a42ae5ec6621dc360554c0f2890bfb7ee", "alias_sources": []}
{"id": "9dd2a260aad056a2", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Coverage with Devel::Cover", "Integration Testing"], "section_title": "Integration Testing", "section_body": "Coverage with Devel::Cover\n\nRunning Coverage\n\nIntegration Testing\n\nUse in-memory SQLite for database tests, mock HTTP::Tiny for API tests.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "bf57761c5581c348ac8306780e69e6ffaa86e043c13da532b7f271a4d86cbfe6", "alias_sources": []}
{"id": "9dddf020237caab2", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "How It Works", "Keyword mapping"], "section_title": "Keyword mapping", "section_body": "Keyword mapping\n\ndefine the search intent\n\ngather realistic keyword variants\n\nprioritize by intent match, likely value, and competition\n\nmap one primary keyword/theme to one URL\n\ndetect and avoid cannibalization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "19b33f126528195eec43f5cf2d78c0b98459b2b44d617ed7dea67680b5f5b408", "alias_sources": []}
{"id": "9df1c25b007686f0", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "ASP.NET Core Integration Tests", "Testing with Testcontainers"], "section_title": "Testing with Testcontainers", "section_body": "ASP.NET Core Integration Tests\n\nWebApplicationFactory Setup\n\nTesting with Testcontainers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "3a6a2bf57de150aab5f8c9063cec26b0ae4e4c5ad8506b8047b90f0f73c5cf5c", "alias_sources": []}
{"id": "9e040ab23159f4da", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nAdding authentication (JWT, OAuth2, session-based)\n\nImplementing authorization (@PreAuthorize, role-based access)\n\nValidating user input (Bean Validation, custom validators)\n\nConfiguring CORS, CSRF, or security headers\n\nManaging secrets (Vault, environment variables)\n\nAdding rate limiting or brute-force protection\n\nScanning dependencies for CVEs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "d2867a8509932c94edfbbf4b0cdca7c0c965e0d13935c872c344a5acb123305e", "alias_sources": []}
{"id": "9e06b5c089be546e", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Modes", "`default`"], "section_title": "`default`", "section_body": "`default`\n\nbalanced prune queue\n\nbalanced keep list\n\nranked add/follow queue\n\ndraft warm intros or direct outreach where useful", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "6b8d5c67b915377545c5fe24e484cc086e4e3cf27bdb8fc994b126a42feed62a", "alias_sources": []}
{"id": "9e1375252198cbcc", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "8. Sensitive Data Exposure"], "section_title": "8. Sensitive Data Exposure", "section_body": "8. Sensitive Data Exposure\n\nLogging\n\nLogging\n\nError Messages\n\nError Messages\n\nVerification Steps\n\nVerification Steps\n\n[ ] No passwords, tokens, or secrets in logs\n\n[ ] Error messages generic for users\n\n[ ] Detailed errors only in server logs\n\n[ ] No stack traces exposed to users", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "b6993dd85cbd2a5d13708d97434d5b5acb03371152e4fa9777534b3854a42d1e", "alias_sources": []}
{"id": "9e3ee4db1a60e8bf", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "When To Use This Standalone"], "section_title": "When To Use This Standalone", "section_body": "When To Use This Standalone\n\nChoose this skill when the user primarily wants the ranking engine:\n\n\"who in my network is best positioned to introduce me?\"\n\n\"rank my mutuals by who can get me to these people\"\n\n\"map my graph against this ICP\"\n\n\"show me the bridge math\"\n\nDo not use this by itself when the user really wants:\n\nfull lead generation and outbound sequencing -> use `lead-intelligence`\n\npruning, rebalancing, and growing the network -> use `connections-optimizer`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "923b7f275202bf42c3d960e3b9f6eaa120f36a124ff63e2a42052c3da4d76913", "alias_sources": []}
{"id": "9e560b90b9a45f72", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Core Concepts", "Free Stack"], "section_title": "Free Stack", "section_body": "Core Concepts\n\nThe Three Layers\n\nEvery data scraper agent has three layers:\n\nFree Stack\n\n| Layer | Tool | Why |\n|---|---|---|\n| **Scraping** | `requests` + `BeautifulSoup` | No cost, covers 80% of public sites |\n| **JS-rendered sites** | `playwright` (free) | When HTML scraping fails |\n| **AI enrichment** | Gemini Flash via REST API | 500 req/day, 1M tokens/day \u2014 free |\n| **Storage** | Notion API | Free tier, great UI for review |\n| **Schedule** | GitHub Actions cron | Free for public repos |\n| **Learning** | JSON feedback file in repo | Zero infra, persists in git |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "a5eb83e32db4384b20d07f0965c369b73d4e02c5598a8ab4a6819cd5054ad231", "alias_sources": []}
{"id": "9e662cd9a630cc89", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build"], "section_title": "Product Lens \u2014 Think Before You Build", "section_body": "Product Lens \u2014 Think Before You Build\n\nThis lane owns product diagnosis, not implementation-ready specification writing.\n\nIf the user needs a durable PRD-to-SRS or capability-contract artifact, hand off to `product-capability`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "c1a7e216e63a896180fd3fc2c62ecc64fe6dde9ee138deacd565ff76be7aca29", "alias_sources": []}
{"id": "9e8b2f0924b1108b", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Debugging\n\nCommon Commands\n\nDebugging Network Issues\n\nAnti-Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "cd54cef73156f3633df6c6b8c65ab897fb1300ec55ab4a2ce106e4ddfa66d0f0", "alias_sources": []}
{"id": "9e993dd06923ece6", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Coverage"], "section_title": "Coverage", "section_body": "Coverage\n\nPrefer target-level settings instead of global flags.\n\nGCC + gcov + lcov:\n\nClang + llvm-cov:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "c6350acc9a655e2be110ae39873b7522c1f01dea680f0f0098b0fad4dc07f79f", "alias_sources": []}
{"id": "9eb233b98257cebb", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Implementation Patterns", "Pattern C: Batch Sampling"], "section_title": "Pattern C: Batch Sampling", "section_body": "Pattern C: Batch Sampling\n\nFor large batches (100+ items), full Santa on every item is cost-prohibitive. Use stratified sampling:\n\nRun Santa on a random sample (10-15% of batch, minimum 5 items)\n\nCategorize failures by type (hallucination, compliance, completeness, etc.)\n\nIf systematic patterns emerge, apply targeted fixes to the entire batch\n\nRe-sample and re-verify the fixed batch\n\nContinue until a clean sample passes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "739dd4944107262eb3dbf1a32e64686a4645180c3ed0bed4f3ffeb0f409dfba5", "alias_sources": []}
{"id": "9ed9934e8f1d18c0", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Execution Steps", "Step 1: Map State Stores"], "section_title": "Step 1: Map State Stores", "section_body": "Step 1: Map State Stores\n\nBefore auditing any touchpoint, build a side-effect map of every state store action:\n\nThis is the critical reference. The \"New Email\" bug was invisible without knowing that `selectThread` resets `composeMode`.\n\n**Output format:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review", "phase:debug"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "5a9864d7a785737a5c1b115544416a7001e123c407f4bcb937a1a8ae15d0af60", "alias_sources": []}
{"id": "9edec53d7fe59d81", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "When to Activate"], "section_title": "When to Activate", "section_body": "Claude API\n\nBuild applications with the Anthropic Claude API and SDKs.\n\nWhen to Activate\n\nBuilding applications that call the Claude API\n\nCode imports `anthropic` (Python) or `@anthropic-ai/sdk` (TypeScript)\n\nUser asks about Claude API patterns, tool use, streaming, or vision\n\nImplementing agent workflows with Claude Agent SDK\n\nOptimizing API costs, token usage, or latency", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "7cfece5044157d7612862fd62885a400f378462de15e76e836780b22da912084", "alias_sources": []}
{"id": "9ef2845064843372", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "5. Performance", "Lazy loading:"], "section_title": "Lazy loading:", "section_body": "Lazy loading:\n\n[ ] `ListView.builder` / `GridView.builder` used instead of `ListView(children: [...])` for large or dynamic lists (concrete constructors are fine for small, static lists)\n\n[ ] Pagination implemented for large data sets\n\n[ ] Deferred loading (`deferred as`) used for heavy libraries in web builds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "824975eb2fb0e8c245db4863fb6519895082e90c812dc4aa0adfa242e936fb0d", "alias_sources": []}
{"id": "9f0cbb7bc229021c", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works", "Drug Interaction Checking"], "section_title": "Drug Interaction Checking", "section_body": "Drug Interaction Checking\n\nInteraction pairs must be **bidirectional**: if Drug A interacts with Drug B, then Drug B interacts with Drug A.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "0fafb9cac08636a888dff586d3ae9191fa9790828f9c421f6d698e475843395f", "alias_sources": []}
{"id": "9f11d798777adda7", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "2. NanoClaw REPL", "When NanoClaw vs Sequential Pipeline"], "section_title": "When NanoClaw vs Sequential Pipeline", "section_body": "When NanoClaw vs Sequential Pipeline\n\n| Use Case | NanoClaw | Sequential Pipeline |\n|----------|----------|-------------------|\n| Interactive exploration | Yes | No |\n| Scripted automation | No | Yes |\n| Session persistence | Built-in | Manual |\n| Context accumulation | Grows per turn | Fresh each step |\n| CI/CD integration | Poor | Excellent |\n\nSee the `/claw` command documentation for full details.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "a1a4ca93bfb35a069e57f116e0770546537f93ea4d4edb85ae8fcc17a426af5d", "alias_sources": []}
{"id": "9f20a81c0277c86d", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill"], "section_title": "Continuous Learning Skill", "section_body": "Continuous Learning Skill\n\nAutomatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "a926afa6a986b91e67de6880785f50cfcb4227a251b45df319affc6448a0dbee", "alias_sources": []}
{"id": "9f438d1212647796", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Security Monitoring"], "section_title": "Security Monitoring", "section_body": "Security Monitoring\n\nReview and auto-merge safe dependency bumps\n\nFlag any critical/high severity alerts immediately\n\nCheck for new Dependabot alerts weekly at minimum", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "54fdad0e2782a052e94b871f0af404115d13e4136dda4b58ee413240fca1bf55", "alias_sources": []}
{"id": "9f6544966657a0e6", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "How It Works", "Three-Phase Architecture"], "section_title": "Three-Phase Architecture", "section_body": "How It Works\n\nThree-Phase Architecture\n\nEvery time Claude Code edits or writes a file, Plankton's `multi_linter.sh` PostToolUse hook runs:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "4479c028ae6544625c44e6112bac824224bf8020a729d7c8112df3e76810517e", "alias_sources": []}
{"id": "9f71185609297731", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Market Structures"], "section_title": "Market Structures", "section_body": "Market Structures\n\n**Regulated markets:** A single utility provides generation, transmission, and distribution. Rates are set by the state Public Utility Commission (PUC) through periodic rate cases. You cannot choose your electricity supplier. Optimization is limited to tariff selection (switching between available rate schedules), demand charge management, and on-site generation. Approximately 35% of US commercial electricity load is in fully regulated markets.\n\n**Deregulated markets:** Generation is competitive. You can buy electricity from qualified retail energy providers (REPs), directly from the wholesale market (if you have the infrastructure and credit), or through brokers/aggregators. ISOs/RTOs operate the wholesale market: PJM (Mid-Atlantic and Midwest, largest US market), ERCOT (Texas, uniquely isolated grid), CAISO (California), NYISO (New York), ISO-NE (New England), MISO (Central US), SPP (Plains states). Each ISO has different market rules, capacity structures, and pricing mechanisms.\n\n**Locational Marginal Pricing (LMP):** Wholesale electricity prices vary by location (node) within an ISO, reflecting generation costs, transmission losses, and congestion. LMP = Energy Component + Congestion Component + Loss Component. A facility at a congested node pays more than one at an uncongested node. Congestion can add $5\u2013$30/MWh to your delivered cost in constrained zones. When evaluating a VPPA, the basis risk between the generator's node and your load zone is driven by congestion patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "ab2373b7e448652b3636fe1362401434b96acda74d74771531b94e798e02582c", "alias_sources": []}
{"id": "9fba3c28734a5534", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Evolution Across Model Capabilities", "Stage 2 \u2014 Capable Models (Opus 4.5-class)"], "section_title": "Stage 2 \u2014 Capable Models (Opus 4.5-class)", "section_body": "Stage 2 \u2014 Capable Models (Opus 4.5-class)\n\nFull 3-agent harness: Planner + Generator + Evaluator\n\nSprint contracts before each implementation phase\n\n10-sprint decomposition for complex apps\n\nContext resets still useful but less critical", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "a5e3b9b156b557f3714c9e4d777d9b03943bd0a98296a83db5d5d97c6269aa62", "alias_sources": []}
{"id": "9fbe8ae80a027a2a", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Authentication", "OAuth 1.0a (User Context)"], "section_title": "OAuth 1.0a (User Context)", "section_body": "OAuth 1.0a (User Context)\n\nRequired for: posting tweets, managing account, DMs, and any write flow.\n\nLegacy aliases such as `X_API_KEY`, `X_API_SECRET`, and `X_ACCESS_SECRET` may exist in older setups. Prefer the `X_CONSUMER_*` and `X_ACCESS_TOKEN_SECRET` names when documenting or wiring new flows.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "f477c969eab47978ed3586d511127c9671c13a43814666df15e108442af84021", "alias_sources": []}
{"id": "9fe6f8dba08dacc9", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Integration Patterns", "Post-Implementation"], "section_title": "Post-Implementation", "section_body": "During Implementation\n\nRuns current evals and reports status\n\nPost-Implementation\n\nGenerates full eval report", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "4031ea4d7f69723ea51bb79b2eac7101d04b3dbfe6519a72dfb4be39783ddb1c", "alias_sources": []}
{"id": "9ff7a4465d565ba2", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Safe File Operations", "TOCTOU Prevention and Path Traversal"], "section_title": "TOCTOU Prevention and Path Traversal", "section_body": "Safe File Operations\n\nThree-Argument Open\n\nTOCTOU Prevention and Path Traversal\n\nUse `File::Temp` for temporary files (`tempfile(UNLINK => 1)`) and `flock(LOCK_EX)` to prevent race conditions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "24b5a713d48535c6cd01849a7706ef3e5cc140ba8e5d86ca78a43e1fa4f42306", "alias_sources": []}
{"id": "a01523842b296426", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "Threads"], "section_title": "Threads", "section_body": "Threads\n\nkeep it readable and direct\n\ndo not write fake hyper-casual creator copy\n\ndo not paste the LinkedIn version and shorten it", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "7a24725045a6c0d42c6037beac41f5beb4db1d91ad5e84d2773701c68a39c542", "alias_sources": []}
{"id": "a015d5dc5a31126d", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Phase Details", "Rubric Design"], "section_title": "Rubric Design", "section_body": "Rubric Design\n\nThe rubric is the most important input. Vague rubrics produce vague reviews. Every criterion must have an objective pass/fail condition.\n\n| Criterion | Pass Condition | Failure Signal |\n|-----------|---------------|----------------|\n| Factual accuracy | All claims verifiable against source material or common knowledge | Invented statistics, wrong version numbers, nonexistent APIs |\n| Hallucination-free | No fabricated entities, quotes, URLs, or references | Links to pages that don't exist, attributed quotes with no source |\n| Completeness | Every requirement in the spec is addressed | Missing sections, skipped edge cases, incomplete coverage |\n| Compliance | Passes all project-specific constraints | Banned terms used, tone violations, regulatory non-compliance |\n| Internal consistency | No contradictions within the output | Section A says X, section B says not-X |\n| Technical correctness | Code compiles/runs, algorithms are sound | Syntax errors, logic bugs, wrong complexity claims |\n\nDomain-Specific Rubric Extensions\n\nDomain-Specific Rubric Extensions\n\n**Content/Marketing:**\n\nBrand voice adherence\n\nSEO requirements met (keyword density, meta tags, structure)\n\nNo competitor trademark misuse\n\nCTA present and correctly linked\n\n**Code:**\n\nType safety (no `any` leaks, proper null handling)\n\nError handling coverage\n\nSecurity (no secrets in code, input validation, injection prevention)\n\nTest coverage for new paths\n\n**Compliance-Sensitive (regulated, legal, financial):**\n\nNo outcome guarantees or unsubstantiated claims\n\nRequired disclaimers present\n\nApproved terminology only\n\nJurisdiction-appropriate language", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:test"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "8cfdd3cddec8e1d31060a31f2f0f9cf7edf7cc863b6766f63d93bb806488bf08", "alias_sources": []}
{"id": "a01da69c8001650c", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Common Testing Mistakes to Avoid", "PASS: CORRECT: Semantic Selectors"], "section_title": "PASS: CORRECT: Semantic Selectors", "section_body": "PASS: CORRECT: Test User-Visible Behavior\n\nFAIL: WRONG: Brittle Selectors\n\nPASS: CORRECT: Semantic Selectors", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "8f3bfd62e847c6b0003811d185f13f95490facb366142b78a5709d5bf6fc599c", "alias_sources": []}
{"id": "a039544782af8eb9", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "ABC/XYZ Classification"], "section_title": "ABC/XYZ Classification", "section_body": "ABC/XYZ Classification\n\n**ABC (Value):** A = top 20% of SKUs driving 80% of revenue/margin. B = next 30% driving 15%. C = bottom 50% driving 5%. Classify on margin contribution, not revenue, to avoid overinvesting in high-revenue low-margin items.\n\n**XYZ (Predictability):** X = CV of demand < 0.5 (highly predictable). Y = CV 0.5\u20131.0 (moderately predictable). Z = CV > 1.0 (erratic/lumpy). Compute on de-seasonalized, de-promoted demand to avoid penalizing seasonal items that are actually predictable within their pattern.\n\n**Policy Matrix:** AX items get automated replenishment with tight safety stock. AZ items need human review every cycle \u2014 they're high-value but erratic. CX items get automated replenishment with generous review periods. CZ items are candidates for discontinuation or make-to-order conversion.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "c79c20392d26d953c31d6be8b6862e16741216198a022ec86d9d70136ef7bf7c", "alias_sources": []}
{"id": "a0642d28f7b1a978", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Animation Patterns", "Framer Motion Animations"], "section_title": "Framer Motion Animations", "section_body": "Controlled Form with Validation\n\nError Boundary Pattern\n\nAnimation Patterns\n\nFramer Motion Animations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "0ed3cecc0e0419e92820bb5f53bac5268c29e679d86a1ce7e4af756268db415a", "alias_sources": []}
{"id": "a07fb96bddfc86ed", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Token Optimization Patterns", "Duplicate Instruction Detection"], "section_title": "Duplicate Instruction Detection", "section_body": "Duplicate Instruction Detection\n\nCommon sources of duplicate context:\n\nSame rules in both `~/.claude/rules/` and project `.claude/rules/`\n\nSkills that repeat CLAUDE.md instructions\n\nMultiple skills covering overlapping domains", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "e60acc6f8b86db7d0bf524182e019f736757a25c811afe746bea1177badda0f0", "alias_sources": []}
{"id": "a082c3f4738ea91b", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "Testcontainers"], "section_title": "Testcontainers", "section_body": "Testcontainers\n\nUse reusable containers for Postgres/Redis to mirror production\n\nWire via `@DynamicPropertySource` to inject JDBC URLs into Spring context", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "f87b17801369bc4682db212df37a52f291c29ea1da53e6bd4d350f960dc487e7", "alias_sources": []}
{"id": "a08e20f505683b0a", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Decision Frameworks", "PPA Evaluation"], "section_title": "PPA Evaluation", "section_body": "PPA Evaluation\n\nBefore committing to a 10\u201325 year PPA, evaluate:\n\n**Does the project economics pencil?** Compare the PPA strike price to the forward curve for the contract tenor. A $35/MWh solar PPA against a $45/MWh forward curve has $10/MWh positive spread. But model the full term \u2014 a 20-year PPA at $35/MWh that was in-the-money at signing can go underwater if wholesale prices drop below the strike due to overbuilding of renewables in the region.\n\n**What is the basis risk?** If the generator is in West Texas (ERCOT West) and your load is in Houston (ERCOT Houston), congestion between the two zones can create a persistent basis spread of $3\u2013$12/MWh that erodes the PPA value. Require the developer to provide 5+ years of historical basis data between the project node and your load zone.\n\n**What is the curtailment exposure?** ERCOT curtails wind at 3\u20138% annually; CAISO curtails solar at 5\u201312% in spring months. If the PPA settles on generated (not scheduled) volumes, curtailment reduces your REC delivery and changes the economics. Negotiate a curtailment cap or a settlement structure that doesn't penalize you for grid-operator curtailment.\n\n**What are the credit requirements?** Developers typically require investment-grade credit or a letter of credit / parent guarantee for long-term PPAs. A $50M notional VPPA may require a $5\u2013$10M LC, tying up capital. Factor the LC cost into your PPA economics.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "6d1350c4bb4f3d2dc05b20f0c76f40bd9dd7ab5ae19d866afb68cf41a6fda372", "alias_sources": []}
{"id": "a0c003d326b7d148", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding Ktor HTTP servers\n\nConfiguring Ktor plugins (Auth, CORS, ContentNegotiation, StatusPages)\n\nImplementing REST APIs with Ktor\n\nSetting up dependency injection with Koin\n\nWriting Ktor integration tests with testApplication\n\nWorking with WebSockets in Ktor", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "53694eaead560aa6a8182c05de245ac5fa1a69f9fe143e85ae4c89f779e8b5c8", "alias_sources": []}
{"id": "a11680a07537d13e", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "How It Works", "Mode 1: Page Performance"], "section_title": "Mode 1: Page Performance", "section_body": "How It Works\n\nMode 1: Page Performance\n\nMeasures real browser metrics via browser MCP:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "2a19b76373faee039e1a38537af0b6ad5dd7b7a7ae72b06cc515e65ff5b1c7a6", "alias_sources": []}
{"id": "a11b35e6eafe5237", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Cost Optimization"], "section_title": "Cost Optimization", "section_body": "Claude Agent SDK\n\nBuild multi-step agents:\n\nCost Optimization\n\n| Strategy | Savings | When to Use |\n|----------|---------|-------------|\n| Prompt caching | Up to 90% on cached tokens | Repeated system prompts or context |\n| Batches API | 50% | Non-time-sensitive bulk processing |\n| Haiku instead of Sonnet | ~75% | Simple tasks, classification, extraction |\n| Shorter max_tokens | Variable | When you know output will be short |\n| Streaming | None (same cost) | Better UX, same price |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "6c90fdfb377dd06233ed47f20a24ab197538ccfd08850afbea2447a583893af2", "alias_sources": []}
{"id": "a11cd7f0d38cffd8", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nthe user wants to prune their X following\n\nthe user wants to rebalance who they follow or stay connected to\n\nthe user says \"clean up my network\", \"who should I unfollow\", \"who should I follow\", \"who should I reconnect with\"\n\noutreach quality depends on network structure, not just cold list generation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "335d24be43b1f86899728b82a8eeb964486919a6a521278506173a694cafef05", "alias_sources": []}
{"id": "a122508c8e4cf5f7", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost"], "section_title": "Crosspost", "section_body": "Crosspost\n\nDistribute content across platforms without turning it into the same fake post in four costumes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "97118e454b6bc85f675f9caa189780944d9a5c4373f7c3c35d621cba036e2e86", "alias_sources": []}
{"id": "a13863d61dd3b9f0", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Error Handling", "Native try/catch (5.40+)"], "section_title": "Native try/catch (5.40+)", "section_body": "Error Handling\n\neval/die Pattern\n\nTry::Tiny (Reliable Exception Handling)\n\nNative try/catch (5.40+)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "e869cb3de0422204fb64684b5a30e6dcd9339eb31eda68b44ae17b78239e7301", "alias_sources": []}
{"id": "a1430af2a78a661c", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Theming\n\nMaterial 3 Dynamic Theming\n\nAnti-Patterns to Avoid\n\nUsing `mutableStateOf` in ViewModels when `MutableStateFlow` with `collectAsStateWithLifecycle` is safer for lifecycle\n\nPassing `NavController` deep into composables \u2014 pass lambda callbacks instead\n\nHeavy computation inside `@Composable` functions \u2014 move to ViewModel or `remember {}`\n\nUsing `LaunchedEffect(Unit)` as a substitute for ViewModel init \u2014 it re-runs on configuration change in some setups\n\nCreating new object instances in composable parameters \u2014 causes unnecessary recomposition", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "8d69de660903809a1781d022198128133df9ba5228a53d5f73dd6b21ba1b2d23", "alias_sources": []}
{"id": "a1b1b681c9cb4687", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nStructuring Android or KMP project modules\n\nImplementing UseCases, Repositories, or DataSources\n\nDesigning data flow between layers (domain, data, presentation)\n\nSetting up dependency injection with Koin or Hilt\n\nWorking with Room, SQLDelight, or Ktor in a layered architecture", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "ef5b3ebf5adfc932527c8b87d19176f548a9d25cbde1331ced86c5a816bf1135", "alias_sources": []}
{"id": "a1db0fbd4d9a19e4", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nProfile each facility's load shape using interval meter data (15-minute kWh/kW) to identify cost drivers\n\nAnalyze current tariff structures and identify optimization opportunities (rate switching, demand response enrollment)\n\nStructure procurement RFPs with appropriate product specifications (fixed, index, block-and-index, shaped)\n\nEvaluate bids using total cost of energy (not just $/MWh) including capacity, transmission, ancillaries, and risk premium\n\nExecute contracts with staggered terms and layered hedging to avoid concentration risk\n\nMonitor market positions, rebalance hedges on trigger events, and report budget variance monthly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "02fb71a02d06fbf8d390019902be2d86f9ba649adde426278cd711cbec8ad62c", "alias_sources": []}
{"id": "a1dc658a08d5d68e", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Full Stocktake Flow", "Phase 2 \u2014 Quality Evaluation"], "section_title": "Phase 2 \u2014 Quality Evaluation", "section_body": "Phase 2 \u2014 Quality Evaluation\n\nLaunch an Agent tool subagent (**general-purpose agent**) with the full inventory and checklist:\n\nThe subagent reads each skill, applies the checklist, and returns per-skill JSON:\n\n`{ \"verdict\": \"Keep\"|\"Improve\"|\"Update\"|\"Retire\"|\"Merge into [X]\", \"reason\": \"...\" }`\n\n**Chunk guidance:** Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to `results.json` (`status: \"in_progress\"`) after each chunk.\n\nAfter all skills are evaluated: set `status: \"completed\"`, proceed to Phase 3.\n\n**Resume detection:** If `status: \"in_progress\"` is found on startup, resume from the first unevaluated skill.\n\nEach skill is evaluated against this checklist:\n\nVerdict criteria:\n\n| Verdict | Meaning |\n|---------|---------|\n| Keep | Useful and current |\n| Improve | Worth keeping, but specific improvements needed |\n| Update | Referenced technology is outdated (verify with WebSearch) |\n| Retire | Low quality, stale, or cost-asymmetric |\n| Merge into [X] | Substantial overlap with another skill; name the merge target |\n\nEvaluation is **holistic AI judgment** \u2014 not a numeric rubric. Guiding dimensions:\n\n**Actionability**: code examples, commands, or steps that let you act immediately\n\n**Scope fit**: name, trigger, and content are aligned; not too broad or narrow\n\n**Uniqueness**: value not replaceable by MEMORY.md / CLAUDE.md / another skill\n\n**Currency**: technical references work in the current environment\n\n**Reason quality requirements** \u2014 the `reason` field must be self-contained and decision-enabling:\n\nDo NOT write \"unchanged\" alone \u2014 always restate the core evidence\n\nFor **Retire**: state (1) what specific defect was found, (2) what covers the same need instead\n\nBad: `\"Superseded\"`\n\nGood: `\"disable-model-invocation: true already set; superseded by continuous-learning-v2 which covers all the same patterns plus confidence scoring. No unique content remains.\"`\n\nFor **Merge**: name the target and describe what content to integrate\n\nBad: `\"Overlaps with X\"`\n\nGood: `\"42-line thin content; Step 4 of chatlog-to-article already covers the same workflow. Integrate the 'article angle' tip as a note in that skill.\"`\n\nFor **Improve**: describe the specific change needed (what section, what action, target size if relevant)\n\nBad: `\"Too long\"`\n\nGood: `\"276 lines; Section 'Framework Comparison' (L80\u2013140) duplicates ai-era-architecture-principles; delete it to reach ~150 lines.\"`\n\nFor **Keep** (mtime-only change in Quick Scan): restate the original verdict rationale, do not write \"unchanged\"\n\nBad: `\"Unchanged\"`\n\nGood: `\"mtime updated but content unchanged. Unique Python reference explicitly imported by rules/python/; no overlap found.\"`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan", "phase:build", "phase:review"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "94807449146d433f76d22906c0da60c0b314e900de98a867a207ba9948bf2831", "alias_sources": []}
{"id": "a1e982973e120c64", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "When to use", "Desktop Perception"], "section_title": "Desktop Perception", "section_body": "When to use\n\nDesktop Perception\n\nStart/stop a **desktop session** capturing **screen, mic, and system audio**\n\nStream **live context** and store **episodic session memory**\n\nRun **real-time alerts/triggers** on what's spoken and what's happening on screen\n\nProduce **session summaries**, a searchable timeline, and **playable evidence links**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "cd06a9fb223a5370fbfe61bbb639191b36e50aa064684a46a93f4bff941a78bd", "alias_sources": []}
{"id": "a213924294697ed3", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Workflow", "2. Classify the issue"], "section_title": "2. Classify the issue", "section_body": "2. Classify the issue\n\nPut the case into one bucket before acting:\n\n| Case | Typical action |\n|------|----------------|\n| Duplicate personal subscription | cancel extras, consider refund |\n| Real multi-seat/team intent | preserve seats, clarify billing model |\n| Failed payment / incomplete checkout | recover via portal or update payment method |\n| Missing self-serve controls | provide portal, cancellation path, or invoice access |\n| Product failure or trust break | refund, apologize, log product issue |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "ee0e16a2a0d017ddc45fd90c903660256c89f34dd37c8593340e2005df786b7b", "alias_sources": []}
{"id": "a2251789aa4c9913", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "Market Intelligence"], "section_title": "Market Intelligence", "section_body": "Market Intelligence\n\nRate cycles are predictable in direction, unpredictable in magnitude:\n\n**DAT and Greenscreens:** DAT RateView provides lane-level spot and contract rate benchmarks based on broker-reported transactions. Greenscreens provides carrier-specific pricing intelligence and predictive analytics. Use both \u2014 DAT for market direction, Greenscreens for carrier-specific negotiation leverage. Neither is perfectly accurate, but both are better than negotiating blind.\n\n**Freight market cycles:** The truckload market oscillates between shipper-favorable (excess capacity, falling rates, high tender acceptance) and carrier-favorable (tight capacity, rising rates, tender rejections). Cycles last 18-36 months peak-to-peak. Key indicators: DAT load-to-truck ratio (>6:1 signals tight market), OTRI (Outbound Tender Rejection Index \u2014 >10% signals carrier leverage shifting), Class 8 truck orders (leading indicator of capacity addition 6-12 months out).\n\n**Seasonal patterns:** Produce season (April-July) tightens reefer capacity in the Southeast and West. Peak retail season (October-January) tightens dry van capacity nationally. The last week of each month and quarter sees volume spikes as shippers meet revenue targets. Budget RFP timing to avoid awarding contracts at the peak or trough of a cycle \u2014 award during the transition for more realistic rates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "fe0f837348dc3652bcab0dcccd22bfbebd58af5780d1738a42ea67eda5c1368e", "alias_sources": []}
{"id": "a23cb2e94345c523", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Roles"], "section_title": "Roles", "section_body": "Roles\n\n| Voice | Lens |\n| --- | --- |\n| Architect | correctness, maintainability, long-term implications |\n| Skeptic | premise challenge, simplification, assumption breaking |\n| Pragmatist | shipping speed, user impact, operational reality |\n| Critic | edge cases, downside risk, failure modes |\n\nThe three external voices should be launched as fresh subagents with **only the question and relevant context**, not the full ongoing conversation. That is the anti-anchoring mechanism.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "6863c997d88761c77191ab8e27f3301ecb100229bf0067bdb8cc36373c230e78", "alias_sources": []}
{"id": "a23fd37d2e35af34", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Workflow", "4. Cut vanity panels"], "section_title": "4. Cut vanity panels", "section_body": "4. Cut vanity panels\n\nEvery panel should answer a real question. If it does not, remove it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "eef5a1d284f9fd8c129700d9151d6c9373e5fa5e7c4030fec0c53887275618b3", "alias_sources": []}
{"id": "a2497a9f87305a21", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**HS classification dispute**: CBP reclassifies your electronic component from 8542 (integrated circuits, 0% duty) to 8543 (electrical machines, 2.6%). Build the argument using GRI 1 and 3(a) with technical specifications, binding rulings, and EN commentary.\n\n**FTA qualification**: Evaluate whether a product assembled in Mexico qualifies for USMCA preferential treatment. Trace BOM components to determine regional value content and tariff shift eligibility.\n\n**Denied party screening hit**: Automated screening flags a customer as a potential match on OFAC's SDN list. Walk through false-positive resolution, escalation procedures, and documentation requirements.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "9aa227a38957d54d446ee71be856feb553c2f575da4e9ca9a569f591b8beb1f0", "alias_sources": []}
{"id": "a24d932d0b3ee739", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Testing Guidance (Same Hexagonal Boundaries)"], "section_title": "Testing Guidance (Same Hexagonal Boundaries)", "section_body": "Testing Guidance (Same Hexagonal Boundaries)\n\n**Domain tests**: test entities/value objects as pure business rules (no mocks, no framework setup).\n\n**Use-case unit tests**: test orchestration with fakes/stubs for outbound ports; assert business outcomes and port interactions.\n\n**Outbound adapter contract tests**: define shared contract suites at port level and run them against each adapter implementation.\n\n**Inbound adapter tests**: verify protocol mapping (HTTP/CLI/queue payload to use-case input and output/error mapping back to protocol).\n\n**Adapter integration tests**: run against real infrastructure (DB/API/queue) for serialization, schema/query behavior, retries, and timeouts.\n\n**End-to-end tests**: cover critical user journeys through inbound adapter -> use case -> outbound adapter.\n\n**Refactor safety**: add characterization tests before extraction; keep them until new boundary behavior is stable and equivalent.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:test"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "e8a334c32ad3580a2f2bd7bab8afc2469f90dad40a6fa2a791f58e4a707ae6bd", "alias_sources": []}
{"id": "a29ca7274d3b6a99", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Tool Requirements", "Optional (enhance results)"], "section_title": "Optional (enhance results)", "section_body": "Optional (enhance results)\n\n**LinkedIn** \u2014 Direct API if available, otherwise browser control for search, profile inspection, and drafting\n\n**Apollo/Clay API** \u2014 For enrichment cross-reference if user has access\n\n**GitHub MCP** \u2014 For developer-centric lead qualification\n\n**Apple Mail / Mail.app** \u2014 Draft cold or warm email without sending automatically\n\n**Browser control** \u2014 For LinkedIn and X when API coverage is missing or constrained", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "976fc5969dab016d1011a6318cbdcb7a454cfe48788600761fee54170f6bce57", "alias_sources": []}
{"id": "a29e6b4436b3f382", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops"], "section_title": "Unified Notifications Ops", "section_body": "Unified Notifications Ops\n\nUse this skill when the real problem is not a missing ping. The real problem is a fragmented notification system.\n\nThe job is to turn scattered events into one operator surface with:\n\nclear severity\n\nclear ownership\n\nclear routing\n\nclear follow-up action", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "22ea69eb02484908d042abb0dd2111b45d8b1ec9511cdf6784ace43fee5a5ab9", "alias_sources": []}
{"id": "a2be3d1d58490588", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Workflow", "3. Edit with precision"], "section_title": "3. Edit with precision", "section_body": "3. Edit with precision\n\nFor Docs: use index-aware edits, not vague rewrites\n\nFor Sheets: operate on explicit tabs and ranges\n\nFor Slides: distinguish content edits from visual cleanup or template migration\n\nIf the requested work is visual or layout-sensitive, iterate with inspection and verification instead of one giant blind update.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "9c3ef347d67aeac611f7a29b89907addbe052436237e472ed1408139be3fa3f9", "alias_sources": []}
{"id": "a2e1cd1511d1c2c1", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding React components (composition, props, rendering)\n\nManaging state (useState, useReducer, Zustand, Context)\n\nImplementing data fetching (SWR, React Query, server components)\n\nOptimizing performance (memoization, virtualization, code splitting)\n\nWorking with forms (validation, controlled inputs, Zod schemas)\n\nHandling client-side routing and navigation\n\nBuilding accessible, responsive UI patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "4282b1ecd9774819be80ca630fd4d5b785385979f6dee964d427951d647a0216", "alias_sources": []}
{"id": "a2f0adaabf11cf4f", "skill_name": "nodejs-keccak256", "skill_description": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "skill_type": null, "section_path": ["Node.js Keccak-256", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nComputing Ethereum function selectors or event topics\n\nBuilding EIP-712, signature, Merkle, or storage-slot helpers in JS/TS\n\nReviewing any code that hashes Ethereum data with Node crypto directly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nodejs-keccak256\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "mtime": 1776507629.8874083, "body_hash": "eb0cd2379ea657d50309ac161de010472de926fda7e58f59b6259311532f0fa2", "alias_sources": []}
{"id": "a2fdca3c09fc4df9", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Expressions & Statements (ES.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Initialization\n\nAnti-Patterns\n\nUninitialized variables (ES.20)\n\nUsing `0` or `NULL` as pointer (ES.47 -- use `nullptr`)\n\nC-style casts (ES.48 -- use `static_cast`, `const_cast`, etc.)\n\nCasting away `const` (ES.50)\n\nMagic numbers without named constants (ES.45)\n\nMixing signed and unsigned arithmetic (ES.100)\n\nReusing names in nested scopes (ES.12)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "bbf59d8b9c5fe58a75b0c117807a4a34fae5b0f6cda547664d2647fb17923425", "alias_sources": []}
{"id": "a3510ab0a985741e", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "Hydration Safety"], "section_title": "Hydration Safety", "section_body": "Hydration Safety\n\nKeep the first render deterministic. Do not put `Date.now()`, `Math.random()`, browser-only APIs, or storage reads directly into SSR-rendered template state.\n\nMove browser-only logic behind `onMounted()`, `import.meta.client`, `ClientOnly`, or a `.client.vue` component when the server cannot produce the same markup.\n\nUse Nuxt's `useRoute()` composable, not the one from `vue-router`.\n\nDo not use `route.fullPath` to drive SSR-rendered markup. URL fragments are client-only, which can create hydration mismatches.\n\nTreat `ssr: false` as an escape hatch for truly browser-only areas, not a default fix for mismatches.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "dd78cffcf9f9cc65b8fbe018ffa7e5847528f6e8042908256386c03e4fbe60e2", "alias_sources": []}
{"id": "a35bb138030ee930", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Workflow", "3. Build in repo-native layers"], "section_title": "3. Build in repo-native layers", "section_body": "3. Build in repo-native layers\n\nTypical slices:\n\nconfig/schema\n\nclient/transport\n\nmapping layer\n\nconnector/provider entrypoint\n\nregistration\n\ntests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "305b1f8f885552e3f53643c75240b7f21db272b5bffa3d6e51c9c1d547ecfffe", "alias_sources": []}
{"id": "a3a9c43e648cddbd", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "How It Works"], "section_title": "How It Works", "section_body": "\u6838\u5fc3\u7406\u5ff5\n\n\u597d\u7684\u9f99\u867e\u7075\u9b42 = **\u8eab\u4efd\u5f20\u529b** + **\u5e95\u7ebf\u89c4\u5219** + **\u6027\u683c\u7f3a\u9677** + **\u540d\u5b57** + **\u89c6\u89c9\u951a\u70b9**\n\n\u4e94\u8005\u4e92\u76f8\u5370\u8bc1\uff0c\u7f3a\u4e00\u4e0d\u53ef\u3002\n\nHow It Works", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "0f16c27bcae1b096b031ecb6a6787993aa5e989b2283bf5986e64cd3bc37784a", "alias_sources": []}
{"id": "a3ac8c9b7c73fc38", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Hard Bans"], "section_title": "Hard Bans", "section_body": "Hard Bans\n\nDelete and rewrite any of these:\n\nfake curiosity hooks\n\n\"not X, just Y\"\n\n\"no fluff\"\n\nforced lowercase\n\nLinkedIn thought-leader cadence\n\nbait questions\n\n\"Excited to share\"\n\ngeneric founder-journey filler\n\ncorny parentheticals", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "e4d1590e75dad070c8ea20e259acdc276cd024218419e2a7710e2e2f423bd3c4", "alias_sources": []}
{"id": "a3cf2474ed553f12", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding or updating apps for iOS 26+ with the new design language\n\nImplementing glass-style buttons, cards, toolbars, or containers\n\nCreating morphing transitions between glass elements\n\nApplying Liquid Glass effects to widgets\n\nMigrating existing blur/material effects to the new Liquid Glass API", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "99e8a50cb2dc6b68ee58710c5590f5978b8fa387b7754908275d91b097aeaa75", "alias_sources": []}
{"id": "a43e18c45ea436c4", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Default Output"], "section_title": "Default Output", "section_body": "Default Output\n\nshort 16:9 MP4\n\none thumbnail or poster frame\n\nstoryboard plus scene plan", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "262a2463c92cf221e26a9ea145660b127bc5e5ff3624fe43327f20590973712e", "alias_sources": []}
{"id": "a44301d3df310cd9", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "Core Concepts"], "section_title": "Core Concepts", "section_body": "Core Concepts\n\n**Context7**: MCP server that exposes live documentation; use it instead of training data for libraries and APIs.\n\n**resolve-library-id**: Returns Context7-compatible library IDs (e.g. `/vercel/next.js`) from a library name and query.\n\n**query-docs**: Fetches documentation and code snippets for a given library ID and question. Always call resolve-library-id first to get a valid library ID.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "23356af7f967c704172e1e31b14cfdbb30472894cc38057de8e64ece3f9cd4dc", "alias_sources": []}
{"id": "a45307cea129d1fa", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Core Principles", "3. Test Types"], "section_title": "3. Test Types", "section_body": "3. Test Types\n\nUnit Tests\n\nUnit Tests\n\nIndividual functions and utilities\n\nComponent logic\n\nPure functions\n\nHelpers and utilities\n\nIntegration Tests\n\nIntegration Tests\n\nAPI endpoints\n\nDatabase operations\n\nService interactions\n\nExternal API calls\n\nE2E Tests (Playwright)\n\nE2E Tests (Playwright)\n\nCritical user flows\n\nComplete workflows\n\nBrowser automation\n\nUI interactions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "e0e4d29cc56f05779b3ec22e69cf395b370520f4b126d8981012f5d82088e9f7", "alias_sources": []}
{"id": "a4707de91074900c", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Core Principles"], "section_title": "Core Principles", "section_body": "Core Principles\n\n**Every change is a migration** \u2014 never alter production databases manually\n\n**Migrations are forward-only in production** \u2014 rollbacks use new forward migrations\n\n**Schema and data migrations are separate** \u2014 never mix DDL and DML in one migration\n\n**Test migrations against production-sized data** \u2014 a migration that works on 100 rows may lock on 10M\n\n**Migrations are immutable once deployed** \u2014 never edit a migration that has run in production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "a5bd240e49edd280570dd6dd30fe971443349636fb1c26d000adfc305d512bdb", "alias_sources": []}
{"id": "a474b2ef9c445e16", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "13. Internationalization (l10n)", "Setup:"], "section_title": "Setup:", "section_body": "13. Internationalization (l10n)\n\nSetup:\n\n[ ] Localization solution configured (Flutter's built-in ARB/l10n, easy_localization, or equivalent)\n\n[ ] Supported locales declared in app configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "bbd1238c2f1b9919e0951c84f9935f11775784788bf705318b1e6147f096b9b0", "alias_sources": []}
{"id": "a4804a73c3509115", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Core Workflow", "1. Restate the capability"], "section_title": "1. Restate the capability", "section_body": "Core Workflow\n\n1. Restate the capability\n\nCompress the ask into one precise statement:\n\nwho the user or operator is\n\nwhat new capability exists after this ships\n\nwhat outcome changes because of it\n\nIf this statement is weak, the implementation will drift.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "5b053605a694150779e3b3a82bb48b494865b296a28a3c50086eabbaddb0117c", "alias_sources": []}
{"id": "a481157f15d2901a", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Decision Frameworks", "Eat-the-Cost vs Fight-the-Claim"], "section_title": "Eat-the-Cost vs Fight-the-Claim", "section_body": "Eat-the-Cost vs Fight-the-Claim\n\nThis is the most common judgment call. Thresholds:\n\n**< $500 and carrier relationship is strong:** Absorb. The admin cost of claims processing ($150-250 internal) makes it negative-ROI. Log for carrier scorecard.\n\n**$500 - $2,500:** File claim but don't escalate aggressively. This is the \"standard process\" zone. Accept partial settlements above 70% of value.\n\n**$2,500 - $10,000:** Full claims process. Escalate at 30-day mark if no resolution. Involve carrier account manager. Reject settlements below 80%.\n\n**> $10,000:** VP-level awareness. Dedicated claims handler. Independent inspection if damage. Reject settlements below 90%. Legal review if denied.\n\n**Any amount + pattern:** If this is the 3rd+ exception from the same carrier in 30 days, treat it as a carrier performance issue regardless of individual dollar amounts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "e37c3c44b4bcc3f0c1bc0ac44df0cfafc8097cd96d002c9c73e228e0cfebfae8", "alias_sources": []}
{"id": "a4898d28af561fa3", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Workflow", "1. Inventory the real surface"], "section_title": "1. Inventory the real surface", "section_body": "Workflow\n\n1. Inventory the real surface\n\nRead the current live surface before theorizing:\n\nrepo hooks and local hook scripts\n\nGitHub Actions and scheduled workflows\n\nMCP configs and enabled servers\n\nconnector- or app-backed integrations\n\nwrapper scripts and repo-specific automation entrypoints\n\nGroup them by surface:\n\nlocal runtime\n\nrepo CI / automation\n\nconnected external systems\n\nmessaging / notifications\n\nbilling / customer operations\n\nresearch / monitoring", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "f47878d8b2de7c7ed6d05fd39a469a199c801443124389c3936bd1bf89e0caa5", "alias_sources": []}
{"id": "a4b3e75924aaecb4", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Core Components", "5. Task Queue"], "section_title": "5. Task Queue", "section_body": "5. Task Queue\n\nManage a persistent queue of tasks that survive session boundaries.\n\n**Implementation:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "3100d100deb75c0bb152131cc7258bdd8bf04300eff10188e941976f66038cb8", "alias_sources": []}
{"id": "a4cce74eb03d06bf", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "5. Fix in burn order"], "section_title": "5. Fix in burn order", "section_body": "5. Fix in burn order\n\nIf the user asked for code changes, prioritize fixes in this order:\n\nstop automatic PR multiplication\n\nstop quota bypass\n\nstop premium leakage\n\nstop duplicate-job fanout and pointless retries\n\nclose rerun/update safety gaps\n\nKeep the pass bounded to one to three direct fixes unless the same root cause clearly spans multiple files.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "f8400e594b587501d99083dd0ab5cab24d34a499f4361c9ebdeb65ec4a9bcdb6", "alias_sources": []}
{"id": "a4d5e9bdb6f15bc1", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "Key Design Principles"], "section_title": "Key Design Principles", "section_body": "Key Design Principles\n\n**Deterministic execution** \u2014 Upfront decomposition locks in parallelism and ordering\n\n**Human review at leverage points** \u2014 The work plan is the single highest-leverage intervention point\n\n**Separate concerns** \u2014 Each stage in a separate context window with a separate agent\n\n**Conflict recovery with context** \u2014 Full eviction context enables intelligent re-runs, not blind retries\n\n**Tier-driven depth** \u2014 Trivial changes skip research/review; large changes get maximum scrutiny\n\n**Resumable workflows** \u2014 Full state persisted to SQLite; resume from any point", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "108e446048758b4a600d68dec4f51110dbc3183b2c2253e2e1cd0d7965aef770", "alias_sources": []}
{"id": "a4e9f2c28e218f38", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 2: Select & Install Skills", "2a: Choose Scope (Core vs Niche)"], "section_title": "2a: Choose Scope (Core vs Niche)", "section_body": "Step 2: Select & Install Skills\n\n2a: Choose Scope (Core vs Niche)\n\nDefault to **Core (recommended for new users)** \u2014 copy `.agents/skills/*` plus `skills/search-first/` for research-first workflows. This bundle covers engineering, evals, verification, security, strategic compaction, frontend design, and Anthropic cross-functional skills (article-writing, content-engine, market-research, frontend-slides).\n\nUse `AskUserQuestion` (single select):\n\nIf the user chooses niche or core + niche, continue to category selection below and only include those niche skills they pick.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "59db72a31c62d60b808b2e814df4889cb143c84054b68ac2c48a193d1c33c195", "alias_sources": []}
{"id": "a4ebd8091325540e", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Video Generation", "Veo 3 (Google DeepMind)"], "section_title": "Veo 3 (Google DeepMind)", "section_body": "Kling Video v3 Pro\n\nBest for: text/image-to-video with native audio generation.\n\nVeo 3 (Google DeepMind)\n\nBest for: video with generated sound, high visual quality.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "c84e323328ccff755719c634bc9f8bf9ad9b6da3d650997ee5888c7a4e4e10d9", "alias_sources": []}
{"id": "a50af13dd8d3d7e5", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Image Generation", "Common Image Parameters"], "section_title": "Common Image Parameters", "section_body": "Common Image Parameters\n\n| Param | Type | Options | Notes |\n|-------|------|---------|-------|\n| `prompt` | string | required | Describe what you want |\n| `image_size` | string | `square`, `portrait_4_3`, `landscape_16_9`, `portrait_16_9`, `landscape_4_3` | Aspect ratio |\n| `num_images` | number | 1-4 | How many to generate |\n| `seed` | number | any integer | Reproducibility |\n| `guidance_scale` | number | 1-20 | How closely to follow the prompt (higher = more literal) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "cce63b9feff754097a9380635a1119290163d6b2c511221f19d6c436d2f5f631", "alias_sources": []}
{"id": "a521af801a7c2499", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Additional docs", "When to use what"], "section_title": "When to use what", "section_body": "When to use what\n\n| Problem | VideoDB solution |\n|---------|-----------------|\n| Platform rejects video aspect ratio or resolution | `video.reframe()` or `conn.transcode()` with `VideoConfig` |\n| Need to resize video for Twitter/Instagram/TikTok | `video.reframe(target=\"vertical\")` or `target=\"square\"` |\n| Need to change resolution (e.g. 1080p \u2192 720p) | `conn.transcode()` with `VideoConfig(resolution=720)` |\n| Need to overlay audio/music on video | `AudioAsset` on a `Timeline` |\n| Need to add subtitles | `video.add_subtitle()` or `CaptionAsset` |\n| Need to combine/trim clips | `VideoAsset` on a `Timeline` |\n| Need to generate voiceover, music, or SFX | `coll.generate_voice()`, `generate_music()`, `generate_sound_effect()` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "041e66afe08f7678fd9777fc09f4e4b0ab510481a6ae26ee76f2a4d7b0045479", "alias_sources": []}
{"id": "a58cd64522e5c280", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow"], "section_title": "Workflow", "section_body": "Batch API Calls for Efficiency\n\nNever call the LLM once per item. Always batch:\n\nWorkflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "0b7b0692b9bf4e6b93cca84e6060be90525f00e8762ce45b5ebe3497396efa52", "alias_sources": []}
{"id": "a5b0c196feb54118", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Phase 7: Performance Checks"], "section_title": "Phase 7: Performance Checks", "section_body": "Phase 6: Django Management Commands\n\nPhase 7: Performance Checks\n\nReport:\n\nNumber of queries per page (should be < 50 for typical pages)\n\nMissing database indexes\n\nDuplicate queries detected", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "e132bdfb67e2c5bb40825ed67dd7ca5e7dd93956958fe04384fdeb1e16d5107f", "alias_sources": []}
{"id": "a5cf9111c5a6b103", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Safety-critical non-conformance | Notify VP Quality and Regulatory immediately | Within 1 hour |\n| Field failure or customer complaint | Assign dedicated investigator, notify account team | Within 4 hours |\n| Repeat NCR (same failure mode, 3+ occurrences) | Mandatory CAPA initiation, management review | Within 24 hours |\n| Supplier falsified documentation | Quarantine all supplier material, notify regulatory and legal | Immediately |\n| Non-conformance on shipped product | Initiate customer notification protocol, containment | Within 4 hours |\n| Audit finding (external) | Management review, response plan development | Within 48 hours |\n| CAPA overdue > 30 days past target | Escalate to Quality Director for resource allocation | Within 1 week |\n| NCR backlog exceeds 50 open items | Process review, resource allocation, management briefing | Within 1 week |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review", "phase:docs"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "53714afe5f0c24193aa13527238fbf8816afbf049cc123ad9e82dac53b162c39", "alias_sources": []}
{"id": "a5e48d1c83defbef", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Verification Phases", "Phase 1: Build Verification"], "section_title": "Phase 1: Build Verification", "section_body": "Verification Phases\n\nPhase 1: Build Verification\n\nIf build fails, STOP and fix before continuing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "caa939771a0297335d01d8f7c3ec683d7845563bdbf24482b2c9868b87527318", "alias_sources": []}
{"id": "a65f1e9834d0bc92", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\n| Task | Command / Pattern |\n|---|---|\n| Run all tests | `prove -lr t/` |\n| Run one test verbose | `prove -lv t/unit/user.t` |\n| Parallel test run | `prove -lr -j8 t/` |\n| Coverage report | `cover -test && cover -report html` |\n| Test equality | `is($got, $expected, 'label')` |\n| Deep comparison | `is($got, hash { field k => 'v'; etc() }, 'label')` |\n| Test exception | `like(dies { ... }, qr/msg/, 'label')` |\n| Test no exception | `ok(lives { ... }, 'label')` |\n| Mock a method | `Test::MockModule->new('Pkg')->mock(m => sub { ... })` |\n| Skip tests | `SKIP: { skip 'reason', $count unless $cond; ... }` |\n| TODO tests | `TODO: { local $TODO = 'reason'; ... }` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "2dbe5bf63b2758f0528360fd0f1f463fff5f8c5540f8bcbd9874318271de0c5e", "alias_sources": []}
{"id": "a66649228f5991c5", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Production Readiness Checklist", "Security"], "section_title": "Security", "section_body": "Security\n\n[ ] Dependencies scanned for CVEs\n\n[ ] CORS configured for allowed origins only\n\n[ ] Rate limiting enabled on public endpoints\n\n[ ] Authentication and authorization verified\n\n[ ] Security headers set (CSP, HSTS, X-Frame-Options)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "00c02e742819b1c30471fd8a7331b82d7fc68e4498fb869875586bd0298d9a02", "alias_sources": []}
{"id": "a67520b9b9ee3372", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nAfter systematic debugging finds \"no bugs\" but users report broken UI\n\nAfter modifying any Zustand store action (check all callers)\n\nAfter any refactor that touches shared state\n\nBefore release, on critical user flows\n\nWhen a button \"does nothing\" \u2014 this is THE tool for that", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review", "phase:deploy"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "3aa7c8743f3739900f33611ef2dcc2470158fee3aa28dbd662fbdcccd3b8891a", "alias_sources": []}
{"id": "a6b856c9de5f9f1c", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Voice Handling"], "section_title": "Voice Handling", "section_body": "Voice Handling\n\n`brand-voice` is the canonical voice layer.\n\nRun it first when:\n\nthere are multiple downstream outputs\n\nthe user explicitly cares about writing style\n\nthe content is launch, outreach, or reputation-sensitive\n\nReuse the resulting `VOICE PROFILE` here instead of rebuilding a second voice model.\nIf the user wants Affaan / ECC voice specifically, still treat `brand-voice` as the source of truth and feed it the best live or source-derived material available.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "90e8a846f9d611634f62e0d1bf7d10801153f0a955f3408c1ee6fdb4b2772f33", "alias_sources": []}
{"id": "a6e6f3b497aac62c", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Example Panel Sets", "API gateway / ingress"], "section_title": "API gateway / ingress", "section_body": "API gateway / ingress\n\nrequest rate\n\np50 / p95 / p99 latency\n\nerror rate\n\nupstream health\n\nactive connections", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "53be480271eac9b9e1853b37833aad0baba2e6867d289fba607b5ec3774d120c", "alias_sources": []}
{"id": "a70979bebcf4c477", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Phase 4: Security Scan"], "section_title": "Phase 4: Security Scan", "section_body": "API Tests with MockMvc\n\nTest controller layer with full Spring context:\n\nPhase 4: Security Scan", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "17bf6c6f9ca19c9413e5ecc44b8a2324589599eacb5dac662ea6f56bd3de28e4", "alias_sources": []}
{"id": "a7111c84f2677531", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Workflow", "1. Start from what the user already gave you"], "section_title": "1. Start from what the user already gave you", "section_body": "Workflow\n\n1. Start from what the user already gave you\n\nNormalize any supplied material into:\n\nalready-evidenced facts\n\nneeds verification\n\nopen questions\n\nDo not restart the analysis from zero if the user already built part of the model.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "bc9ddc7ee5293f0654d5f489c47249f72ea93e635fde6a3916ff1b7e50ccf0cd", "alias_sources": []}
{"id": "a7190fd3f57dd564", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Execution Steps"], "section_title": "Execution Steps", "section_body": "How It Works\n\nFor EVERY interactive touchpoint in the target area:\n\nExecution Steps", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "93a5f2a649a78855b0304b59ef87b2fae34dc2d0fdfb570669cedbb24cb231d8", "alias_sources": []}
{"id": "a72d4791f1c116d0", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Smell Detection", "1. Long Functions"], "section_title": "1. Long Functions", "section_body": "Test Naming\n\nCode Smell Detection\n\nWatch for these anti-patterns:\n\n1. Long Functions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "db4b0e70dcfbbb2a8fdcba5cb71d10435d9b88c892f9100fb0a00f0feb13ed64", "alias_sources": []}
{"id": "a74eb8a47ce1d01b", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Section 4: Optimized Prompt \u2014 Quick Version"], "section_title": "Section 4: Optimized Prompt \u2014 Quick Version", "section_body": "Section 4: Optimized Prompt \u2014 Quick Version\n\nA compact version for experienced ECC users. Vary by intent type:\n\n| Intent | Quick Pattern |\n|--------|--------------|\n| New Feature | `/plan [feature]. /tdd to implement. /code-review. /verify.` |\n| Bug Fix | `/tdd \u2014 write failing test for [bug]. Fix to green. /verify.` |\n| Refactor | `/refactor-clean [scope]. /code-review. /verify.` |\n| Research | `Use search-first skill for [topic]. /plan based on findings.` |\n| Testing | `/tdd [module]. /e2e for critical flows. /test-coverage.` |\n| Review | `/code-review. Then use security-reviewer agent.` |\n| Docs | `/update-docs. /update-codemaps.` |\n| EPIC | `Use blueprint skill for \"[objective]\". Execute phases with /verify gates.` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:debug", "phase:docs"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "f2eaf8005cf6d0c5cfc88e1bd025f1ef993101c405fd96d84d6f252a738ecf44", "alias_sources": []}
{"id": "a7561fa5a7025f93", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Commit Messages", "Commit Message Template"], "section_title": "Commit Message Template", "section_body": "Good vs Bad Examples\n\nCommit Message Template\n\nCreate `.gitmessage` in repo root:\n\nEnable with: `git config commit.template .gitmessage`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "02879a91109a1778d874c54e28d348cf4edb84ad529ad1e7c10547bdfb415635", "alias_sources": []}
{"id": "a75621964c42f355", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery"], "section_title": "Laravel Plugin Discovery", "section_body": "Laravel Plugin Discovery\n\nFind, evaluate, and choose healthy Laravel packages using the LaraPlugins.io MCP server.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "75f28d2ce92e065f1db779a4a8d41a029f8390a4ab180035d2192221c1a2a18d", "alias_sources": []}
{"id": "a7635130147d7476", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "Examples", "Example 2: RLS Policy for Multi-Facility Isolation"], "section_title": "Example 2: RLS Policy for Multi-Facility Isolation", "section_body": "Examples\n\nExample 1: Safe vs Unsafe Error Handling\n\nExample 2: RLS Policy for Multi-Facility Isolation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "f78c4cb6f245d69028d6e5f5e695b49779bb8fbf7a2ae380fd47cb71cccc0c9a", "alias_sources": []}
{"id": "a771bdd0b26c7c73", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nWriting new C++ tests or fixing existing tests\n\nDesigning unit/integration test coverage for C++ components\n\nAdding test coverage, CI gating, or regression protection\n\nConfiguring CMake/CTest workflows for consistent execution\n\nInvestigating test failures or flaky behavior\n\nEnabling sanitizers for memory/race diagnostics", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "f5dfda2be9e4afbcc844ddd4457621351114bd23f1a4cf6edaf78d3b381f4340", "alias_sources": []}
{"id": "a77fc4836a0ca1cc", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Regular Expressions", "Named Captures and `/x` Flag"], "section_title": "Named Captures and `/x` Flag", "section_body": "Moo Roles\n\nNative `class` Keyword (5.38+, Corinna)\n\nRegular Expressions\n\nNamed Captures and `/x` Flag", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "71f357f9d0b4b3461dc57b877927c3699a1aa73143ce2043c10b485bc4ac0708", "alias_sources": []}
{"id": "a79f12519625cd50", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "MCP Tools Reference"], "section_title": "MCP Tools Reference", "section_body": "MCP Tools Reference\n\nWhen the `mcp-atlassian` MCP server is configured, these tools are available:\n\n| Tool | Purpose | Example |\n|------|---------|---------|\n| `jira_search` | JQL queries | `project = PROJ AND status = \"In Progress\"` |\n| `jira_get_issue` | Fetch full issue details by key | `PROJ-1234` |\n| `jira_create_issue` | Create issues (Task, Bug, Story, Epic) | New bug report |\n| `jira_update_issue` | Update fields (summary, description, assignee) | Change assignee |\n| `jira_transition_issue` | Change status | Move to \"In Review\" |\n| `jira_add_comment` | Add comments | Progress update |\n| `jira_get_sprint_issues` | List issues in a sprint | Active sprint review |\n| `jira_create_issue_link` | Link issues (Blocks, Relates to) | Dependency tracking |\n| `jira_get_issue_development_info` | See linked PRs, branches, commits | Dev context |\n\n**Tip:** Always call `jira_get_transitions` before transitioning \u2014 transition IDs vary per project workflow.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review", "phase:debug"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "4ad7883d94321846e7c1bfe36f75cff072e0199713a8ff51d4238ad33e74d98e", "alias_sources": []}
{"id": "a7c8f352e67b8fb2", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 1: Discover", "What to look for"], "section_title": "What to look for", "section_body": "How\n\nNavigate to each page in the flow and dump its interactive elements:\n\nWhat to look for\n\n**Form fields**: Are they `<select>`, `<input>`, custom dropdowns, or comboboxes?\n\n**Select options**: Dump option values AND text. Placeholders often have `value=\"0\"` or `value=\"\"` which looks non-empty. Use `Array.from(el.options).map(o => ({ value: o.value, text: o.text }))`. Skip options where text includes \"Select\" or value is `\"0\"`.\n\n**Rich text**: Does the comment box support `@mentions`, `#tags`, markdown, or emoji? Check placeholder text.\n\n**Required fields**: Which fields block form submission? Check `required`, `*` in labels, and try submitting empty to see validation errors.\n\n**Dynamic content**: Do fields appear after other fields are filled?\n\n**Button labels**: Exact text such as `\"Submit\"`, `\"Submit Request\"`, or `\"Send\"`.\n\n**Table column headers**: For table-driven modals, map each `input[type=\"number\"]` to its column header instead of assuming all numeric inputs mean the same thing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "bb3480b49dcdc0b58fcb7890ef6ffe01b24c03abd7d97006e39fe9c9e6b05b18", "alias_sources": []}
{"id": "a7eb487844ae3d24", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Feature Test Pest Example (HTTP Layer)"], "section_title": "Feature Test Pest Example (HTTP Layer)", "section_body": "Examples\n\nPHPUnit Example\n\nFeature Test Example (HTTP Layer)\n\nPest Example\n\nFeature Test Pest Example (HTTP Layer)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "e62062198a2e578f6d97364009dd6b65f48d1c0a4fc6a08a7c82bb775f37021f", "alias_sources": []}
{"id": "a84c67d00186d41c", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "How It Works", "Step 5: Verify Robust Compatibility"], "section_title": "Step 5: Verify Robust Compatibility", "section_body": "Step 5: Verify Robust Compatibility\n\nUse correct `Name, Role, Value` patterns.\n\nImplement `aria-live` or live regions for dynamic status updates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "355104c16a2405c7ff9b3fbe2f82d5a1ee99e35530e90ac5718bac65d5c162b3", "alias_sources": []}
{"id": "a8608257ac601a16", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\n**Kotest specs** \u2014 StringSpec, FunSpec, BehaviorSpec, DescribeSpec examples in [Kotest Spec Styles](#kotest-spec-styles)\n\n**Mocking** \u2014 MockK setup, coroutine mocking, argument capture in [MockK](#mockk)\n\n**TDD walkthrough** \u2014 Full RED/GREEN/REFACTOR cycle with EmailValidator in [TDD Workflow for Kotlin](#tdd-workflow-for-kotlin)\n\n**Coverage** \u2014 Kover configuration and commands in [Kover Coverage](#kover-coverage)\n\n**Ktor testing** \u2014 testApplication setup in [Ktor testApplication Testing](#ktor-testapplication-testing)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "ed16a3604e19402391f2a6bff42f19196ffa01332e481b0fdc34dc8ac5028a1c", "alias_sources": []}
{"id": "a868ca2cde60397f", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Availability Check"], "section_title": "Core Pattern \u2014 Availability Check", "section_body": "Core Pattern \u2014 Availability Check\n\nAlways check model availability before creating a session:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "6d46c911126ee05304b7cb462e4cc721163bce6287f9ceeba005dc6a4163c9c7", "alias_sources": []}
{"id": "a89287f0159da3a0", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Response Interpretation", "Search Results"], "section_title": "Search Results", "section_body": "Combining Filters\n\nResponse Interpretation\n\nSearch Results\n\nEach result includes:\n\nPackage name (e.g. `spatie/laravel-permission`)\n\nBrief description\n\nHealth status indicator\n\nLaravel version support badges", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "d6b0e811d0bc81c40460217f0df47fd52fd8c7650b914cbc175c4735cc18cd4d", "alias_sources": []}
{"id": "a8a8f259a86f7c7e", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Cost Estimation"], "section_title": "Cost Estimation", "section_body": "VideoDB Generative Audio\n\nIf VideoDB is configured, use its generative audio:\n\nCost Estimation\n\nBefore generating, check estimated cost:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "a6d4523bc432fc0aa39b3da011b1d44196ee2cb76a722e3316fccca92eb6ce7a", "alias_sources": []}
{"id": "a8ab7b9ae4e4ebb7", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft"], "section_title": "Stage 5: Outreach Draft", "section_body": "Stage 5: Outreach Draft\n\nGenerate personalized outreach for each lead. The draft should match the source-derived voice profile and the target channel.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "81c4f7d7e5551a8700199dbaf784fbd33304815fea8fd75930633c244648ecba", "alias_sources": []}
{"id": "a8dfcf1a86d785dc", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Session Strategy"], "section_title": "Session Strategy", "section_body": "Session Strategy\n\nContinue session for closely-coupled units.\n\nStart fresh session after major phase transitions.\n\nCompact after milestone completion, not during active debugging.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "7f93fbfaa8a415ca79759eff1b51276dc80f4ba5339850d8ec7f8fffcfaf89ed", "alias_sources": []}
{"id": "a8ea2c1bd30561a7", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "Links"], "section_title": "Links", "section_body": "Links\n\n[GitHub Repository](https://github.com/haibindev/repo-scan)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "8d758601edd49f552d7fcb554080b48094a7978924bee37f87f4e4eb996afbf6", "alias_sources": []}
{"id": "a912cb9dce1fcd94", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Evolution Across Model Capabilities"], "section_title": "Evolution Across Model Capabilities", "section_body": "Usage\n\nVia Command\n\nVia Shell Script\n\nVia Claude Code (Manual)\n\nEvolution Across Model Capabilities\n\nThe harness should simplify as models improve. Following Anthropic's evolution:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "a1b4b3fc34e9b437ae27cfceaf5acd8fcf74f858becc4114735dcdee193bc005", "alias_sources": []}
{"id": "a9545fda3326295e", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Resource Management (R.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Smart Pointer Usage\n\nRAII Pattern\n\nAnti-Patterns\n\nNaked `new`/`delete` (R.11)\n\n`malloc()`/`free()` in C++ code (R.10)\n\nMultiple resource allocations in a single expression (R.13 -- exception safety hazard)\n\n`shared_ptr` where `unique_ptr` suffices (R.21)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "a02aa41f43c7669e5d3a83cf3e677ac7f2b280b4b9c947de6ae719d6e44c344d", "alias_sources": []}
{"id": "a97274d4f9f636f5", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Module Structure", "Dependency Rules"], "section_title": "Dependency Rules", "section_body": "Module Structure\n\nRecommended Layout\n\nDependency Rules\n\n**Critical**: `domain` must NEVER depend on `data`, `presentation`, or any framework. It contains pure Kotlin only.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "3c62f35f5a611bd753ff1741f6167c091a76eda8eb5887012a47b690b3b195f0", "alias_sources": []}
{"id": "a984a6ae46fb48fc", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 3: Tests and Coverage"], "section_title": "Phase 3: Tests and Coverage", "section_body": "Phase 3: Tests and Coverage\n\nCoverage (CI):\n\nCI example (format -> static analysis -> tests):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "087391aaf6ad55e12f3898aeb7c79a04615c9948e155be250393a09617ab420e", "alias_sources": []}
{"id": "a98e7338c1edb07f", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nSource and vet carriers through FMCSA SAFER, insurance verification, and reference checks\n\nStructure RFPs with lane-level data, volume commitments, and scoring criteria\n\nNegotiate rates by decomposing line-haul, fuel, accessorials, and capacity guarantees\n\nBuild routing guides with primary/backup assignments and auto-tender rules in TMS\n\nTrack performance via weighted scorecards (on-time, claims ratio, tender acceptance, cost)\n\nConduct quarterly business reviews and adjust allocation based on scorecard rankings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "d00ea5815c1ced74030693b3f1922ea3a02138d5586784f4d449faf4540bf218", "alias_sources": []}
{"id": "a98ef97b17e8a4da", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Strategy: Test Where Bugs Were Found"], "section_title": "Strategy: Test Where Bugs Were Found", "section_body": "Pattern 4: Optimistic Update Without Proper Rollback\n\nStrategy: Test Where Bugs Were Found\n\nDon't aim for 100% coverage. Instead:\n\n**Why this works with AI development:**\n\nAI tends to make the **same category of mistake** repeatedly\n\nBugs cluster in complex areas (auth, multi-path logic, state management)\n\nOnce tested, that exact regression **cannot happen again**\n\nTest count grows organically with bug fixes \u2014 no wasted effort", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:debug"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "2b26ce43c48af26c84888fda96015096cb82f1492f422c3a648cac35d05ea4b3", "alias_sources": []}
{"id": "a99e02374ff5d1da", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Testing Patterns", "API Integration Test Pattern"], "section_title": "API Integration Test Pattern", "section_body": "Step 7: Verify Coverage\n\nTesting Patterns\n\nUnit Test Pattern (Jest/Vitest)\n\nAPI Integration Test Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "a619e0d47d31f1990703289d2e04815dafbc08e331f2644bda9a9c9dff327dd4", "alias_sources": []}
{"id": "a9ec44603fb56212", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Why Strategic Compaction?"], "section_title": "Why Strategic Compaction?", "section_body": "Why Strategic Compaction?\n\nAuto-compaction triggers at arbitrary points:\n\nOften mid-task, losing important context\n\nNo awareness of logical task boundaries\n\nCan interrupt complex multi-step operations\n\nStrategic compaction at logical boundaries:\n\n**After exploration, before execution** \u2014 Compact research context, keep implementation plan\n\n**After completing a milestone** \u2014 Fresh start for next phase\n\n**Before major context shifts** \u2014 Clear exploration context before different task", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "cc5415c8b93f216725c9ccd4aeaae92527e37ea003cd2bbee8626776713c3281", "alias_sources": []}
{"id": "a9ed70fc9d272aa6", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "When to Use", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\nNon-C++ projects\n\nLegacy C codebases that cannot adopt modern C++ features\n\nEmbedded/bare-metal contexts where specific guidelines conflict with hardware constraints (adapt selectively)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "c48dcf0c6568aa14b2749efa02666f6f29a5eaf6346ea21fb4b943a7a3f2dd72", "alias_sources": []}
{"id": "aa466952b1b6a506", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\n| Instead of code-tour | Use |\n| --- | --- |\n| A one-off explanation in chat is enough | answer directly |\n| The user wants prose docs, not a `.tour` artifact | `documentation-lookup` or repo docs editing |\n| The task is implementation or refactoring | do the implementation work |\n| The task is broad codebase onboarding without a tour artifact | `codebase-onboarding` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "9a58fe20314a6c9b60dbef8f7b12cc733cb785dcf7414a7490683e5d9d3449b3", "alias_sources": []}
{"id": "aa4bdc133efc810f", "skill_name": "design-system", "skill_description": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "skill_type": null, "section_path": ["Design System \u2014 Generate & Audit Visual Systems", "How It Works", "Mode 1: Generate Design System"], "section_title": "Mode 1: Generate Design System", "section_body": "How It Works\n\nMode 1: Generate Design System\n\nAnalyzes your codebase and generates a cohesive design system:\n\nOutput: `DESIGN.md` + `design-tokens.json` + `design-preview.html`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\design-system\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "mtime": 1776507629.6914477, "body_hash": "2b3d3fef0991f341c83acebf72c1acb8bcb08ed5964e5be3fe866cfaf3e1943a", "alias_sources": []}
{"id": "aa663a853496abdd", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nUpdate Jira as you go, not all at once at the end\n\nKeep comments concise but informative\n\nLink rather than copy \u2014 point to PRs, test reports, and dashboards\n\nUse @mentions if you need input from others\n\nCheck linked issues to understand full feature scope before starting\n\nIf acceptance criteria are vague, ask for clarification before writing code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build", "phase:test"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "79e2140ed73a1c90f45eb6c0265c5a6a00b89ce5498563d5b28a9d40cd24c0e1", "alias_sources": []}
{"id": "aa66eca3f8c7e8a4", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "Preferred Tool Surface"], "section_title": "Preferred Tool Surface", "section_body": "Preferred Tool Surface\n\nUse Google Drive as the entry point, then switch to the right specialist:\n\nGoogle Docs for text-heavy docs\n\nGoogle Sheets for tabular work, formulas, and charts\n\nGoogle Slides for decks, imports, template migration, and cleanup\n\nDo not guess structure from filenames alone. Inspect first.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "15ee8889359e6fa3bb93976c1b8aa2fbc3b0948aaa2adbce8354eaacd9a6220e", "alias_sources": []}
{"id": "aa74447963ddfab7", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 1: Discover"], "section_title": "Phase 1: Discover", "section_body": "Phase 1: Discover\n\nBefore writing any script, explore the target pages to understand what is actually there.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "fc40c6e2e9eb1d5bac5b09295fbe53b9fdcbf00a3e7fa59c72c1de2962be188e", "alias_sources": []}
{"id": "aa8ca1eea309e29e", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Product Evals (v1.8)", "Eval Anti-Patterns"], "section_title": "Eval Anti-Patterns", "section_body": "Eval Anti-Patterns\n\nOverfitting prompts to known eval examples\n\nMeasuring only happy-path outputs\n\nIgnoring cost and latency drift while chasing pass rates\n\nAllowing flaky graders in release gates", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "838e70721d67084a6f5931cfe18e545704e442aee6531925547974ce80c2ea5b", "alias_sources": []}
{"id": "aaa5e738bfa02cf5", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Performance Monitoring"], "section_title": "Performance Monitoring", "section_body": "Streaming Insert\n\nMaterialized Views\n\nReal-time Aggregations\n\nPerformance Monitoring", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "9fe23ed6125292af6bbdb4debf866231d3799624670bc4126d41deecda8fa8ed", "alias_sources": []}
{"id": "aadb65e6bdd22e79", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Unsafe Code", "When Unsafe Is NOT Acceptable"], "section_title": "When Unsafe Is NOT Acceptable", "section_body": "Async with Tokio\n\nUnsafe Code\n\nWhen Unsafe Is Acceptable\n\nWhen Unsafe Is NOT Acceptable", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "a65579d584d33ac5d96407b09e41ac1cffaf99e6887a732211a791b3ff7e0acd", "alias_sources": []}
{"id": "ab208311cb81581f", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Workflow", "5. Decide whether the task should stay manual"], "section_title": "5. Decide whether the task should stay manual", "section_body": "5. Decide whether the task should stay manual\n\nIf the user is likely to ask the same research question repeatedly, say so explicitly and recommend a monitoring or workflow layer instead of repeating the same manual search forever.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "6ea683e5edb71e6166ebe539b24f2d317959d230bdb8858766f61708d5e0a595", "alias_sources": []}
{"id": "ab71b71511dd39e0", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding a data persistence layer in Swift 5.5+\n\nNeed thread-safe access to shared mutable state\n\nWant to eliminate manual synchronization (locks, DispatchQueues)\n\nBuilding offline-first apps with local storage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "43f51f7bc4f3bb15e6a54176bbe870e614d8e3dfd027810b41a8e9509f745d24", "alias_sources": []}
{"id": "abe53c71f6e5f939", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops"], "section_title": "Project Flow Ops", "section_body": "Project Flow Ops\n\nThis skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.\n\nUse it when the problem is coordination, not coding.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "8f87e55410e6aec6bd021fcd7857e6c85de87357f7902319b92aee28763080b6", "alias_sources": []}
{"id": "abef82deb1a0aa04", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "Worktree Isolation"], "section_title": "Worktree Isolation", "section_body": "Data Flow Between Stages\n\nWorktree Isolation\n\nEvery unit runs in an isolated worktree (uses jj/Jujutsu, not git):\n\nPipeline stages for the same unit **share** a worktree, preserving state (context files, plan files, code changes) across research \u2192 plan \u2192 implement \u2192 test \u2192 review.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test", "phase:review"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "6520f98691f68edeaa568cada702a830612413a0da2f06727907b520467f97d8", "alias_sources": []}
{"id": "abf1ec3ebeefaaf9", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "CI/CD Operations"], "section_title": "CI/CD Operations", "section_body": "CI/CD Operations\n\nWhen CI fails:\n\nCheck the workflow run: `gh run view <run-id> --log-failed`\n\nIdentify the failing step\n\nCheck if it is a flaky test vs real failure\n\nFor real failures: identify the root cause and suggest a fix\n\nFor flaky tests: note the pattern for future investigation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "56bcc81f5abed80c085d6aa3fcb06f1b48bc41a15ae26956ac97f2f1473e4d44", "alias_sources": []}
{"id": "abfe0b7e14da84b5", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Outbound Rules"], "section_title": "Outbound Rules", "section_body": "Review Pack Format\n\nOutbound Rules\n\nDefault email path is Apple Mail / Mail.app draft creation.\n\nDo not send automatically.\n\nChoose the channel based on warmth, relevance, and context depth.\n\nDo not force a DM when an email or no outreach is the right move.\n\nDrafts should sound like the user, not like automated sales copy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "27c7611fde3fbd62c6aebffdcb92380045cca273fed1468101c1b93e4d17f362", "alias_sources": []}
{"id": "ac04b644c6b821cf", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Related Components"], "section_title": "Related Components", "section_body": "Example 3: EPIC Project\n\n**User input:**\n\n**Optimized Prompt (Full):**\n\nRelated Components\n\n| Component | When to Reference |\n|-----------|------------------|\n| `configure-ecc` | User hasn't set up ECC yet |\n| `skill-stocktake` | Audit which components are installed (use instead of hardcoded catalog) |\n| `search-first` | Research phase in optimized prompts |\n| `blueprint` | EPIC-scope optimized prompts (invoke as skill, not command) |\n| `strategic-compact` | Long session context management |\n| `cost-aware-llm-pipeline` | Token optimization recommendations |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "6d5eac29fa41da195d682e2586070344e90b08f6a6ea1a95d3078cd816bb0970", "alias_sources": []}
{"id": "ac05c7b4e75332c3", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Functions (F.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "DO\n\nDON'T\n\nFunctions (F.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **F.1** | Package meaningful operations as carefully named functions |\n| **F.2** | A function should perform a single logical operation |\n| **F.3** | Keep functions short and simple |\n| **F.4** | If a function might be evaluated at compile time, declare it `constexpr` |\n| **F.6** | If your function must not throw, declare it `noexcept` |\n| **F.8** | Prefer pure functions |\n| **F.16** | For \"in\" parameters, pass cheaply-copied types by value and others by `const&` |\n| **F.20** | For \"out\" values, prefer return values to output parameters |\n| **F.21** | To return multiple \"out\" values, prefer returning a struct |\n| **F.43** | Never return a pointer or reference to a local object |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "1715cb77f108d040b2f27147b1e4e2619d7f4b5c6da30820f3afc3e4da21ad11", "alias_sources": []}
{"id": "ac0d3235d99bf26f", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 4: Post-Installation Verification", "4b: Check Path References"], "section_title": "4b: Check Path References", "section_body": "4b: Check Path References\n\nScan all installed `.md` files for path references:\n\n**For project-level installs**, flag any references to `~/.claude/` paths:\n\nIf a skill references `~/.claude/settings.json` \u2014 this is usually fine (settings are always user-level)\n\nIf a skill references `~/.claude/skills/` or `~/.claude/rules/` \u2014 this may be broken if installed only at project level\n\nIf a skill references another skill by name \u2014 check that the referenced skill was also installed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "9a17bb16d70fd8c44b228c7cd4e58dec93399138660bedad73a0a5d095ae8766", "alias_sources": []}
{"id": "ac45cb0b322f483d", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill"], "section_title": "VideoDB Skill", "section_body": "VideoDB Skill\n\n**Perception + memory + actions for video, live streams, and desktop sessions.**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "38c429bbfc46cdcdbb41e1818a882fbdcf3f52700968445fe3c9560c3c38e817", "alias_sources": []}
{"id": "ac5ede210cd56348", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns"], "section_title": "Frontend Development Patterns", "section_body": "Frontend Development Patterns\n\nModern frontend patterns for React, Next.js, and performant user interfaces.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "9e3111acfaf3601b37b5ee05351fcd0ce11bafd952e0c5624cf06eebff3f7145", "alias_sources": []}
{"id": "ac681f45ae0cb634", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Rebuild optimization:"], "section_title": "Rebuild optimization:", "section_body": "Rebuild optimization:\n\n[ ] State consumer widgets (Builder, Consumer, Observer, Obx, Watch, etc.) scoped as narrow as possible\n\n[ ] Selectors used to rebuild only when specific fields change \u2014 not on every state emission\n\n[ ] `const` widgets used to stop rebuild propagation through the tree\n\n[ ] Computed/derived state is calculated reactively, not stored redundantly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "c36eca2bc644a4dd06cc9b3dcdf6d3f10d0d130323cb2351c01a4efe4a5e39da", "alias_sources": []}
{"id": "ac7024b943a3c368", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Core Testing Philosophy", "Coverage Requirements"], "section_title": "Coverage Requirements", "section_body": "Coverage Requirements\n\n**Target**: 80%+ code coverage\n\n**Critical paths**: 100% coverage required\n\nUse `pytest --cov` to measure coverage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "300355498f404656146346d088dd82539a6ec723ee88d4263e9806812dd01685", "alias_sources": []}
{"id": "ac8baef8f568a831", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "How It Works", "Pass/Fail Matrix"], "section_title": "Pass/Fail Matrix", "section_body": "Pass/Fail Matrix\n\n| Category | Threshold | On Failure |\n|----------|-----------|------------|\n| CDSS Accuracy | 100% | **BLOCK deployment** |\n| PHI Exposure | 100% | **BLOCK deployment** |\n| Data Integrity | 100% | **BLOCK deployment** |\n| Clinical Workflow | 95%+ | WARN, allow with review |\n| Integration | 95%+ | WARN, allow with review |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "b6a2eaa7cb9147d2c52f7da74c80614919fe6e43545026809966349bbe25cf32", "alias_sources": []}
{"id": "ac8d22b0d59f1eb5", "skill_name": "swift-protocol-di-testing", "skill_description": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "skill_type": null, "section_path": ["Swift Protocol-Based Dependency Injection for Testing"], "section_title": "Swift Protocol-Based Dependency Injection for Testing", "section_body": "Swift Protocol-Based Dependency Injection for Testing\n\nPatterns for making Swift code testable by abstracting external dependencies (file system, network, iCloud) behind small, focused protocols. Enables deterministic tests without I/O.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-protocol-di-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Protocol-based dependency injection for testable Swift code \u2014 mock file system, network, and external APIs using focused protocols and Swift Testing.", "mtime": 1776507630.1400945, "body_hash": "632c13eb79c2b0651385f89c9668a8271c5ddb49588d20dba3209c0407193e1c", "alias_sources": []}
{"id": "acb6eaad76b0a291", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)"], "section_title": "Token Budget Advisor (TBA)", "section_body": "Token Budget Advisor (TBA)\n\nIntercept the response flow to offer the user a choice about response depth **before** Claude answers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "78e6ff39ecb4a19f83578b066a10af54e3f359adb5806fe3b24b193bd3623b27", "alias_sources": []}
{"id": "acc750db8aa84853", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Multi-Language Mapping"], "section_title": "Multi-Language Mapping", "section_body": "Multi-Language Mapping\n\nUse the same boundary rules across ecosystems; only syntax and wiring style change.\n\n**TypeScript/JavaScript**\n\nPorts: `application/ports/*` as interfaces/types.\n\nUse cases: classes/functions with constructor/argument injection.\n\nAdapters: `adapters/inbound/*`, `adapters/outbound/*`.\n\nComposition: explicit factory/container module (no hidden globals).\n\n**Java**\n\nPackages: `domain`, `application.port.in`, `application.port.out`, `application.usecase`, `adapter.in`, `adapter.out`.\n\nPorts: interfaces in `application.port.*`.\n\nUse cases: plain classes (Spring `@Service` is optional, not required).\n\nComposition: Spring config or manual wiring class; keep wiring out of domain/use-case classes.\n\n**Kotlin**\n\nModules/packages mirror the Java split (`domain`, `application.port`, `application.usecase`, `adapter`).\n\nPorts: Kotlin interfaces.\n\nUse cases: classes with constructor injection (Koin/Dagger/Spring/manual).\n\nComposition: module definitions or dedicated composition functions; avoid service locator patterns.\n\n**Go**\n\nPackages: `internal/<feature>/domain`, `application`, `ports`, `adapters/inbound`, `adapters/outbound`.\n\nPorts: small interfaces owned by the consuming application package.\n\nUse cases: structs with interface fields plus explicit `New...` constructors.\n\nComposition: wire in `cmd/<app>/main.go` (or dedicated wiring package), keep constructors explicit.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "52908ad7f888c68fe53a26ca1b1dd6d3c78fc1470b7d947302798ff0e2473fb9", "alias_sources": []}
{"id": "acd7e573bca373df", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Example Panel Sets", "Elasticsearch"], "section_title": "Elasticsearch", "section_body": "Example Panel Sets\n\nElasticsearch\n\ncluster health\n\nshard allocation\n\nsearch latency\n\nindexing rate\n\nJVM heap / GC", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "55e7896cbb1fba49086964b31f95cb2f830fcc4df9bfa8cb2fab836264193bd1", "alias_sources": []}
{"id": "ad0ad6fc8c97ae9c", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "Examples", "Install and server setup"], "section_title": "Install and server setup", "section_body": "Examples\n\nInstall and server setup\n\nRegister tools and resources using the API your SDK version provides: some versions use `server.tool(name, description, schema, handler)` (positional args), others use `server.tool({ name, description, inputSchema }, handler)` or `registerTool()`. Same for resources \u2014 include a `uri` in the handler when the API provides it. Check the official MCP docs or Context7 for the current `@modelcontextprotocol/sdk` signatures to avoid copy-paste errors.\n\nUse **Zod** (or the SDK\u2019s preferred schema format) for input validation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "a8b0e8fb28099dadbb89100725954f25a1418a206b1f2b53e2baf755f4f7a0b4", "alias_sources": []}
{"id": "ad2dc75ba2207702", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Go code\n\nReviewing Go code\n\nRefactoring existing Go code\n\nDesigning Go packages/modules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "6042b0ed60cb36ff1b68ead434d7f139227e7f6053b66c93302f45fb84722063", "alias_sources": []}
{"id": "ad4365c5a1674b4d", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nHandling user input in Perl applications\n\nBuilding Perl web applications (CGI, Mojolicious, Dancer2, Catalyst)\n\nReviewing Perl code for security vulnerabilities\n\nPerforming file operations with user-supplied paths\n\nExecuting system commands from Perl\n\nWriting DBI database queries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "fbf56f9fe35431888efea9fffeba0f248d558955e7237b7aa84c16a276d3f9c7", "alias_sources": []}
{"id": "ad56f0772ea835e8", "skill_name": "workspace-surface-audit", "skill_description": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "skill_type": null, "section_path": ["Workspace Surface Audit", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser says \"set up Claude Code\", \"recommend automations\", \"what plugins or MCPs should I use?\", or \"what am I missing?\"\n\nAuditing a machine or repo before installing more skills, hooks, or connectors\n\nComparing official marketplace plugins against ECC-native coverage\n\nReviewing `.env`, `.mcp.json`, plugin settings, or connected-app surfaces to find missing workflow layers\n\nDeciding whether a capability should be a skill, hook, agent, MCP, or external connector", "source_path": "CODEFORGE\\everything-claude-code\\skills\\workspace-surface-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:test", "phase:review"], "trigger_hints": "Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.", "mtime": 1776507630.190009, "body_hash": "39b0efb02cbcae95fd92da56135ef2cb32faa3a8cff3692fe64d7d30f5778229", "alias_sources": []}
{"id": "ad6ca9f670563e3c", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Role and Context"], "section_title": "Role and Context", "section_body": "Customs & Trade Compliance\n\nRole and Context\n\nYou are a senior trade compliance specialist with 15+ years managing customs operations across US, EU, UK, and Asia-Pacific jurisdictions. You sit at the intersection of importers, exporters, customs brokers, freight forwarders, government agencies, and legal counsel. Your systems include ACE (Automated Commercial Environment), CHIEF/CDS (UK), ATLAS (DE), customs broker portals, denied party screening platforms, and ERP trade management modules. Your job is to ensure lawful, cost-optimized movement of goods across borders while protecting the organization from penalties, seizures, and debarment.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "0a4c1254809054151d304f142ca6a9340fb9817c6616e3fa9a40c12c7b6faa86", "alias_sources": []}
{"id": "ad70956d30629ae1", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\n**Evaluator too lenient** \u2014 If the evaluator passes everything on iteration 1, your rubric is too generous. Tighten scoring criteria and add explicit penalties for common AI patterns.\n\n**Generator ignoring feedback** \u2014 Ensure feedback is passed as a file, not inline. The generator should read `feedback-NNN.md` at the start of each iteration.\n\n**Infinite loops** \u2014 Always set `GAN_MAX_ITERATIONS`. If the generator can't improve past a score plateau after 3 iterations, stop and flag for human review.\n\n**Evaluator testing superficially** \u2014 The evaluator must use Playwright to **interact** with the live app, not just screenshot it. Click buttons, fill forms, test error states.\n\n**Evaluator praising its own fixes** \u2014 Never let the evaluator suggest fixes and then evaluate those fixes. The evaluator only critiques; the generator fixes.\n\n**Context exhaustion** \u2014 For long sessions, use Claude Agent SDK's automatic compaction or reset context between major phases.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "9ba3675353f700b9da12ae78487a143a920424052a8a66228c44547c13c978dd", "alias_sources": []}
{"id": "ad92f45762204a33", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nthe user wants content or outreach in a specific voice\n\nwriting for X, LinkedIn, email, launch posts, threads, or product updates\n\nadapting a known author's tone across channels\n\nthe existing content lane needs a reusable style system instead of one-off mimicry", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "9cdcc72894c763da162f8384204817ad8df99736352de2a464ac04568d2c0e94", "alias_sources": []}
{"id": "ad96d54d35175ecb", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "Core Model"], "section_title": "Core Model", "section_body": "Core Model\n\nGiven:\n\n`T` = weighted target set\n\n`M` = your current mutuals / direct connections\n\n`d(m, t)` = shortest hop distance from mutual `m` to target `t`\n\n`w(t)` = target weight from signal scoring\n\nBase bridge score:\n\nWhere:\n\n`\u03bb` is the decay factor, usually `0.5`\n\na direct path contributes full value\n\neach extra hop halves the contribution\n\nSecond-order expansion:\n\nWhere:\n\n`N(m) \\\\ M` is the set of people the mutual knows that you do not\n\n`\u03b1` discounts second-order reach, usually `0.3`\n\nResponse-adjusted final ranking:\n\nWhere:\n\n`engagement(m)` is normalized responsiveness or relationship strength\n\n`\u03b2` is the engagement bonus, usually `0.2`\n\nInterpretation:\n\nTier 1: high `R(m)` and direct bridge paths -> warm intro asks\n\nTier 2: medium `R(m)` and one-hop bridge paths -> conditional intro asks\n\nTier 3: low `R(m)` or no viable bridge -> direct outreach or follow-gap fill", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "3e3c9518f76035129a3c450ea49844426866da8ee2f62128fa5b96fb1359bde3", "alias_sources": []}
{"id": "ad9fef0285c5e431", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Locked Encounter Pattern"], "section_title": "Locked Encounter Pattern", "section_body": "Locked Encounter Pattern\n\nOnce a clinical encounter is signed:\n\nNo edits allowed \u2014 only an addendum (a separate linked record)\n\nBoth original and addendum appear in the patient timeline\n\nAudit trail captures who signed, when, and any addendum records", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "85cd156015f8486f5c515c2596814c49e6fcaa4b1eab959142eb40c09af905a1", "alias_sources": []}
{"id": "add32a1723188f8a", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Core Knowledge", "FMCSA Compliance Vetting"], "section_title": "FMCSA Compliance Vetting", "section_body": "FMCSA Compliance Vetting\n\nEvery carrier in your portfolio must pass compliance screening before their first load and on a recurring quarterly basis:\n\n**Operating authority:** Verify active MC (Motor Carrier) or FF (Freight Forwarder) authority via FMCSA SAFER. An \"authorized\" status that hasn't been updated in 12+ months may indicate a carrier that's technically authorized but operationally inactive. Check the \"authorized for\" field \u2014 a carrier authorized for \"property\" cannot legally carry household goods.\n\n**Insurance minimums:** $750K minimum for general freight (per FMCSA \u00a7387.9), $1M for hazmat, $5M for household goods. Require $1M minimum from all carriers regardless of commodity \u2014 the FMCSA minimum of $750K doesn't cover a serious accident. Verify insurance through the FMCSA Insurance tab, not just the certificate the carrier provides \u2014 certificates can be forged or outdated.\n\n**Safety rating:** FMCSA assigns Satisfactory, Conditional, or Unsatisfactory ratings based on compliance reviews. Never use a carrier with an Unsatisfactory rating. Conditional carriers require case-by-case evaluation \u2014 understand what the conditions are. Carriers with no rating (\"unrated\") make up the majority \u2014 use their CSA (Compliance, Safety, Accountability) scores instead. Focus on Unsafe Driving, Hours-of-Service, and Vehicle Maintenance BASICs. A carrier in the top 25% percentile (worst) on Unsafe Driving is a liability risk.\n\n**Broker bond verification:** If using brokers, verify their $75K surety bond or trust fund is active. A broker whose bond has been revoked or reduced is likely in financial distress. Check the FMCSA Bond/Trust tab. Also verify the broker has contingent cargo insurance \u2014 this protects you if the broker's underlying carrier causes a loss and the carrier's insurance is insufficient.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "d5617390359e3afe3e78bb95526b015e003af1d4a9053069b052091d14ee02b7", "alias_sources": []}
{"id": "ade5a61980ccc2dc", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Tool Use"], "section_title": "Tool Use", "section_body": "Installation\n\nBasic Message\n\nStreaming\n\nTool Use\n\nDefine tools and let Claude call them:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "eb2e05604d8015dffbb0580e875d6eaf619d2334debb3779ef2fa39181b64763", "alias_sources": []}
{"id": "aded5842c11187ed", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "Operations", "OCR Scanned Documents"], "section_title": "OCR Scanned Documents", "section_body": "Extract Text and Data\n\nOCR Scanned Documents\n\nLanguages: Supports 100+ languages via ISO 639-2 codes (e.g., `eng`, `deu`, `fra`, `spa`, `jpn`, `kor`, `chi_sim`, `chi_tra`, `ara`, `hin`, `rus`). Full language names like `english` or `german` also work. See the [complete OCR language table](https://www.nutrient.io/guides/document-engine/ocr/language-support/) for all supported codes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "fc229cd7c2b66a05f8f8097c76fa384e87e7aa79a80e039815cde8ad48527341", "alias_sources": []}
{"id": "adf8d1f372d376cf", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "CAPA System"], "section_title": "CAPA System", "section_body": "CAPA System\n\nCAPA is the regulatory backbone. FDA cites CAPA deficiencies more than any other subsystem:\n\n**Initiation:** Not every NCR requires a CAPA. Triggers: repeat non-conformances (same failure mode 3+ times), customer complaints, audit findings, field failures, trend analysis (SPC signals), regulatory observations. Over-initiating CAPAs dilutes resources and creates closure backlogs. Under-initiating creates audit findings.\n\n**Corrective Action vs. Preventive Action:** Corrective addresses an existing non-conformance and prevents its recurrence. Preventive addresses a potential non-conformance that hasn't occurred yet \u2014 typically identified through trend analysis, risk assessment, or near-miss events. FDA expects both; don't conflate them.\n\n**Writing Effective CAPAs:** The action must be specific, measurable, and address the verified root cause. Bad: \"Improve inspection procedures.\" Good: \"Add torque verification step at Station 12 with calibrated torque wrench (\u00b12%), documented on traveler checklist WI-4401 Rev C, effective by 2025-04-15.\" Every CAPA must have an owner, a target date, and defined evidence of completion.\n\n**Verification vs. Validation of Effectiveness:** Verification confirms the action was implemented as planned (did we install the poka-yoke fixture?). Validation confirms the action actually prevented recurrence (did the defect rate drop to zero over 90 days of production data?). FDA expects both. Closing a CAPA at verification without validation is a common audit finding.\n\n**Closure Criteria:** Objective evidence that the corrective action was implemented AND effective. Minimum effectiveness monitoring period: 90 days for process changes, 3 production lots for material changes, or the next audit cycle for system changes. Document the effectiveness data \u2014 charts, rejection rates, audit results.\n\n**Regulatory Expectations:** FDA 21 CFR 820.198 (complaint handling) and 820.90 (nonconforming product) feed into 820.100 (CAPA). IATF 16949 \u00a710.2.3-10.2.6. AS9100 \u00a710.2. ISO 13485 \u00a78.5.2-8.5.3. Each standard has specific documentation and timing expectations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:docs"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "6773c7c997ea730e142c2a8c51a63299edbc5b09586bd1996a894b00d59446c7", "alias_sources": []}
{"id": "ae05697db041d2c0", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nClassifying goods under HS/HTS tariff codes for import or export\n\nPreparing customs documentation (commercial invoices, certificates of origin, ISF filings)\n\nScreening parties against denied/restricted entity lists (SDN, Entity List, EU sanctions)\n\nEvaluating FTA qualification and duty savings opportunities\n\nResponding to customs audits, CF-28/CF-29 requests, or penalty notices", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "b78cb6df26174f454acb716ca1926cfcfee9143575410279b14ff9be444a6355", "alias_sources": []}
{"id": "ae1154107c1fa991", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUse this skill when:\n\nauditing crawlability, indexability, canonicals, or redirects\n\nimproving title tags, meta descriptions, and heading structure\n\nadding or validating structured data\n\nimproving Core Web Vitals\n\ndoing keyword research and mapping keywords to URLs\n\nplanning internal linking or sitemap / robots changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "245a7f4695006bd74b313e5ca68fea31ed85b8a29c3e1baf4ef0b971368fcb41", "alias_sources": []}
{"id": "aea81b2d15e3afd8", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "Property-Based Testing"], "section_title": "Property-Based Testing", "section_body": "Property-Based Testing\n\nKotest Property Testing\n\nKotest Property Testing\n\nCustom Generators\n\nCustom Generators", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "b07be8916cc285fea2e5bea2cd9d58cec288d779ea5b78c385c98d5125108d3a", "alias_sources": []}
{"id": "aeb2007fc3fb51e8", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Performance Optimization", "Mixed Precision Training"], "section_title": "Mixed Precision Training", "section_body": "Checkpointing Patterns\n\nSave and Load Checkpoints\n\nPerformance Optimization\n\nMixed Precision Training", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "19b8489438809467b36a3eeed72011783e33a2678b0fa4548bf65223548061c8", "alias_sources": []}
{"id": "aeddd8f34e36b6c9", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)"], "section_title": "4. State Management (Library-Agnostic)", "section_body": "4. State Management (Library-Agnostic)\n\nThese principles apply to all Flutter state management solutions (BLoC, Riverpod, Provider, GetX, MobX, Signals, ValueNotifier, etc.).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "665a9ad6fe78a1d4c45d240aa54114bff2f30009ecafaa7e370686279ad4f5f3", "alias_sources": []}
{"id": "aeffacbfcbb346fb", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "Quick Reference: Exposed Patterns"], "section_title": "Quick Reference: Exposed Patterns", "section_body": "Testing with Exposed\n\nIn-Memory Database for Tests\n\nGradle Dependencies\n\nQuick Reference: Exposed Patterns\n\n| Pattern | Description |\n|---------|-------------|\n| `object Table : UUIDTable(\"name\")` | Define table with UUID primary key |\n| `newSuspendedTransaction { }` | Coroutine-safe transaction block |\n| `Table.selectAll().where { }` | Query with conditions |\n| `Table.insertAndGetId { }` | Insert and return generated ID |\n| `Table.update({ condition }) { }` | Update matching rows |\n| `Table.deleteWhere { }` | Delete matching rows |\n| `Table.batchInsert(items) { }` | Efficient bulk insert |\n| `innerJoin` / `leftJoin` | Join tables |\n| `orderBy` / `limit` / `offset` | Sort and paginate |\n| `count()` / `sum()` / `avg()` | Aggregation functions |\n\n**Remember**: Use the DSL style for simple queries and the DAO style when you need entity lifecycle management. Always use `newSuspendedTransaction` for coroutine support, and wrap database operations behind a repository interface for testability.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "c8cd301a5306cdae4fc89c73c365cd1a4ea0b7061898b134c416174001989ee0", "alias_sources": []}
{"id": "af2f0ce7706972c5", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not claim send success without a sent-copy check\n\ndo not ignore the thread history and write a contextless reply\n\ndo not mix mailbox work with DM or text-message workflows\n\ndo not expose secrets, auth details, or unnecessary message metadata", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "b8ab569f2e163b28ae92fbcd23bddc742ccceca079451f23475abab7ed5297bb", "alias_sources": []}
{"id": "afaeda26c9db24d8", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Markers and Test Selection"], "section_title": "Markers and Test Selection", "section_body": "Multiple Parameters\n\nParametrize with IDs\n\nParametrized Fixtures\n\nMarkers and Test Selection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "5ac57b195ed91adecdad0bd27458a4325cc3cc3b39f457f2115bd7e23b3d0e19", "alias_sources": []}
{"id": "afb021985071e1a9", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where the obvious approach is wrong. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**Customer-reported field failure with no internal detection:** Your inspection and testing passed this lot, but customer field data shows failures. The instinct is to question the customer's data \u2014 resist it. Check whether your inspection plan covers the actual failure mode. Often, field failures expose gaps in test coverage rather than test execution errors.\n\n**Supplier audit reveals falsified Certificates of Conformance:** The supplier has been submitting CoCs with fabricated test data. Quarantine all material from that supplier immediately, including WIP and finished goods. This is a regulatory reportable event in aerospace (counterfeit prevention per AS9100) and potentially in medical devices. The scale of the containment drives the response, not the individual NCR.\n\n**SPC shows process in-control but customer complaints are rising:** The chart is stable within control limits, but the customer's assembly process is sensitive to variation within your spec. Your process is \"capable\" by the numbers but not capable enough. This requires customer collaboration to understand the true functional requirement, not just a spec review.\n\n**Non-conformance discovered on already-shipped product:** Containment must extend to the customer's incoming stock, WIP, and potentially their customers. The speed of notification depends on safety risk \u2014 safety-critical issues require immediate customer notification, others can follow the standard process with urgency.\n\n**CAPA that addresses a symptom, not the root cause:** The defect recurs after CAPA closure. Before reopening, verify the original root cause analysis \u2014 if the root cause was \"operator error\" and the corrective action was \"retrain,\" neither the root cause nor the action was adequate. Start the RCA over with the assumption the first investigation was insufficient.\n\n**Multiple root causes for a single non-conformance:** A single defect results from the interaction of machine wear, material lot variation, and a measurement system limitation. The 5 Whys forces a single chain \u2014 use Ishikawa or FTA to capture the interaction. Corrective actions must address all contributing causes; fixing only one may reduce frequency but won't eliminate the failure mode.\n\n**Intermittent defect that cannot be reproduced on demand:** Cannot reproduce \u2260 does not exist. Increase sample size and monitoring frequency. Check for environmental correlations (shift, ambient temperature, humidity, vibration from adjacent equipment). Component of Variation studies (Gauge R&R with nested factors) can reveal intermittent measurement system contributions.\n\n**Non-conformance discovered during a regulatory audit:** Do not attempt to minimize or explain away. Acknowledge the finding, document it in the audit response, and treat it as you would any NCR \u2014 with a formal investigation, root cause analysis, and CAPA. Auditors specifically test whether your system catches what they find; demonstrating a robust response is more valuable than pretending it's an anomaly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "15ce07c911f20f228b2f76f0a6fb4e3ed4cd45eaf97380ba42435af1d68f1647", "alias_sources": []}
{"id": "affbb02948d34f1b", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Voice Handling"], "section_title": "Voice Handling", "section_body": "Voice Handling\n\nIf the user's voice matters, run `brand-voice` first and reuse its `VOICE PROFILE`.\nThis skill should keep the investor-specific structure and ask discipline, not recreate its own parallel voice system.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "14256dd1354c6043bde4a5ff08fb7fbf322a3999643439473a1548f4b2f4f711", "alias_sources": []}
{"id": "b00446d9ff52d137", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "5. Performance", "Expensive operations in build():"], "section_title": "Expensive operations in build():", "section_body": "Expensive operations in build():\n\n[ ] No sorting, filtering, or mapping large collections in `build()` \u2014 compute in state management layer\n\n[ ] No regex compilation in `build()`\n\n[ ] `MediaQuery.of(context)` usage is specific (e.g., `MediaQuery.sizeOf(context)`)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "32ecb30bad571fee900769006082110351af919115f85d10b14f2d39f511c4cd", "alias_sources": []}
{"id": "b0133894e7e7a117", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness"], "section_title": "Autonomous Agent Harness", "section_body": "Autonomous Agent Harness\n\nTurn Claude Code into a persistent, self-directing agent system using only native features and MCP servers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "ede3ebc6c47cddde7fe60d366513291fff2830a4a0daf48d06f193e5b756c521", "alias_sources": []}
{"id": "b01b395361f71847", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "3. Infinite Agentic Loop", "Implementation via Claude Code Commands"], "section_title": "Implementation via Claude Code Commands", "section_body": "Implementation via Claude Code Commands\n\nCreate `.claude/commands/infinite.md`:\n\n**Invoke:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "1bc91cdbd39150f2442c2a7339dbf12f8df79e74394e7d0cbdc5d928f7b4fbd9", "alias_sources": []}
{"id": "b04fc3132bce46c6", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", "Docker Compose for Local Development", "Development vs Production Dockerfile"], "section_title": "Development vs Production Dockerfile", "section_body": "Docker Compose for Local Development\n\nStandard Web App Stack\n\nDevelopment vs Production Dockerfile", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "3d78b64f149210ea88d2805053a9863ca22fd0c439e16cfd2869815118a1a443", "alias_sources": []}
{"id": "b08eea11c181463b", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Four-Phase Loop", "Phase 1: Failure Capture"], "section_title": "Phase 1: Failure Capture", "section_body": "Four-Phase Loop\n\nPhase 1: Failure Capture\n\nBefore trying to recover, record the failure precisely.\n\nCapture:\n\nerror type, message, and stack trace when available\n\nlast meaningful tool call sequence\n\nwhat the agent was trying to do\n\ncurrent context pressure: repeated prompts, oversized pasted logs, duplicated plans, or runaway notes\n\ncurrent environment assumptions: cwd, branch, relevant service state, expected files\n\nMinimum capture template:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "56fdb0a298f0a99ecac72270b9f8cc3e215815a7503ae287704c6129cc03b32a", "alias_sources": []}
{"id": "b08fcc000de0c6ac", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Release Management"], "section_title": "Release Management", "section_body": "Release Management\n\nWhen preparing a release:\n\nCheck all CI is green on main\n\nReview unreleased changes: `gh pr list --state merged --base main`\n\nGenerate changelog from PR titles\n\nCreate release: `gh release create`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:deploy"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "4262e3473e08d27d2d6ea0faaa96bc7f8e8d3f74f883503adf6d8844e96e2766", "alias_sources": []}
{"id": "b0a93219ee294f50", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Rule File Format", "Advanced Format (Multiple Conditions)"], "section_title": "Advanced Format (Multiple Conditions)", "section_body": "Advanced Format (Multiple Conditions)\n\n**Condition fields by event:**\n\nbash: `command`\n\nfile: `file_path`, `new_text`, `old_text`, `content`\n\nprompt: `user_prompt`\n\n**Operators:** `regex_match`, `contains`, `equals`, `not_contains`, `starts_with`, `ends_with`\n\nAll conditions must match for rule to trigger.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "86ee13730330ebca362c03c5fdfa7489b794950283d9f49247577d779ec55a26", "alias_sources": []}
{"id": "b0b70e2edba555c1", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "When to use", "Index + search (timestamps + evidence)"], "section_title": "Index + search (timestamps + evidence)", "section_body": "Index + search (timestamps + evidence)\n\nBuild **visual**, **spoken**, and **keyword** indexes\n\nSearch and return exact moments with **timestamps** and **playable evidence**\n\nAuto-create **clips** from search results", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "a0e8f4a1d3f69730ed4a46850ce8fa0d66c3e1cf1f93c8cc35e09e61a5bc89a0", "alias_sources": []}
{"id": "b0b7f96fb86dc791", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Prisma (TypeScript/Node.js)", "Custom SQL Migration"], "section_title": "Custom SQL Migration", "section_body": "Schema Example\n\nCustom SQL Migration\n\nFor operations Prisma cannot express (concurrent indexes, data backfills):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "e23b9533aacb3da2cb53b955ad6bb68e4f44640f20594de1f7930c99b400b52d", "alias_sources": []}
{"id": "b0ce56d1ea0448e0", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:info [name|number]` \u2014 Quick Snapshot"], "section_title": "`/ck:info [name|number]` \u2014 Quick Snapshot", "section_body": "`/ck:info [name|number]` \u2014 Quick Snapshot\n\nDisplay output verbatim. No follow-up question.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "eedd19477ee651776d397a9720923814f380d48e88fef7c39602c97a21d9dfb8", "alias_sources": []}
{"id": "b0d5c93de9abedf8", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ninspect before editing\n\nstay read-only if the user asked for audit/review only\n\nprefer repo-local scripts and helpers over improvised ad hoc wrappers\n\ndo not claim fixed until the proving command was rerun\n\ndo not claim pushed unless the branch actually moved upstream", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "f9cf2cb1d35f3741e13e86ac734f61c20cb2f107d80cc5cacc15c6b448fcec80", "alias_sources": []}
{"id": "b0e3a81396a694b3", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "Authorization", "Custom Permissions"], "section_title": "Custom Permissions", "section_body": "Password Hashing\n\nSession Management\n\nAuthorization\n\nPermissions\n\nCustom Permissions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "4048a0498b17e97cc329b3c736234d8be2ceacf483c4c67ee18106a2b991b264", "alias_sources": []}
{"id": "b13028bc228cc4ee", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Quick Reference Checklist"], "section_title": "Quick Reference Checklist", "section_body": "Quick Reference Checklist\n\nBefore marking C++ work complete:\n\n[ ] No raw `new`/`delete` -- use smart pointers or RAII (R.11)\n\n[ ] Objects initialized at declaration (ES.20)\n\n[ ] Variables are `const`/`constexpr` by default (Con.1, ES.25)\n\n[ ] Member functions are `const` where possible (Con.2)\n\n[ ] `enum class` instead of plain `enum` (Enum.3)\n\n[ ] `nullptr` instead of `0`/`NULL` (ES.47)\n\n[ ] No narrowing conversions (ES.46)\n\n[ ] No C-style casts (ES.48)\n\n[ ] Single-argument constructors are `explicit` (C.46)\n\n[ ] Rule of Zero or Rule of Five applied (C.20, C.21)\n\n[ ] Base class destructors are public virtual or protected non-virtual (C.35)\n\n[ ] Templates are constrained with concepts (T.10)\n\n[ ] No `using namespace` in headers at global scope (SF.7)\n\n[ ] Headers have include guards and are self-contained (SF.8, SF.11)\n\n[ ] Locks use RAII (`scoped_lock`/`lock_guard`) (CP.20)\n\n[ ] Exceptions are custom types, thrown by value, caught by reference (E.14, E.15)\n\n[ ] `'\\n'` instead of `std::endl` (SL.io.50)\n\n[ ] No magic numbers (ES.45)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "a7be6460aaaef1c2912e7b8c04a90c4ab846df5557ed1f34fd4f52240b0b270a", "alias_sources": []}
{"id": "b14c3621ab9f5d04", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Schema first**: Define input schemas for every tool; document parameters and return shape.\n\n**Errors**: Return structured errors or messages the model can interpret; avoid raw stack traces.\n\n**Idempotency**: Prefer idempotent tools where possible so retries are safe.\n\n**Rate and cost**: For tools that call external APIs, consider rate limits and cost; document in the tool description.\n\n**Versioning**: Pin SDK version in package.json; check release notes when upgrading.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:deploy"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "e59451330057a33d1cf6a935e90071f45d70d8b60563bff8740b7a3fcd4871d5", "alias_sources": []}
{"id": "b15026ce477168c6", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nLevel 1 (Analyst) \u2192 Level 2 (Team Lead, 4 hours) \u2192 Level 3 (Manager, 24 hours) \u2192 Level 4 (Director, 48 hours) \u2192 Level 5 (VP, 72+ hours or any Level 5 severity)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "16e92c52726ae308b2c7fa3b0ec20b06040bbc45a98a245e7292766a085e22c6", "alias_sources": []}
{"id": "b1712bd73871fd9c", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Reference Implementation"], "section_title": "Reference Implementation", "section_body": "Real-World Examples\n\nReference Implementation\n\nA complete working agent built with this exact architecture would scrape 4+ sources,\nbatch Gemini calls, learn from Applied/Rejected decisions stored in Notion, and run\n100% free on GitHub Actions. Follow Steps 1\u20139 above to build your own.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "bea206ae78472d56268a3201b3f30017e458420aac0d9e2ba33e5ad008ba897c", "alias_sources": []}
{"id": "b1d76c80c2a6421b", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding patient encounter workflows (complaint, exam, diagnosis, prescription)\n\nImplementing clinical note-taking (structured + free text + voice-to-text)\n\nDesigning prescription/medication modules with drug interaction checking\n\nIntegrating Clinical Decision Support Systems (CDSS)\n\nBuilding lab result displays with reference range highlighting\n\nImplementing audit trails for clinical data\n\nDesigning healthcare-accessible UIs for clinical data entry", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "6e6271bccd1f4991fac3397721c70d552a75ab29732b02fb7a47a1f06a37d896", "alias_sources": []}
{"id": "b1df510000746842", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Test Coverage Verification", "Run Coverage Report"], "section_title": "Run Coverage Report", "section_body": "Supabase Mock\n\nRedis Mock\n\nOpenAI Mock\n\nTest Coverage Verification\n\nRun Coverage Report", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "33b1772904e37ebe6efdb79dde1114ece6bb51ce883c0a69f6f3b0cb745fa628", "alias_sources": []}
{"id": "b1e8b794ba15310c", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Preferred Tool Surface"], "section_title": "Preferred Tool Surface", "section_body": "Preferred Tool Surface\n\nUse connected billing tools such as Stripe first\n\nUse email, GitHub, or issue trackers only as supporting evidence\n\nPrefer hosted billing/customer portals over custom account-management code when the platform already provides the needed controls", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "3d120ff53d14eadefa10a94c975276792f1201e771cee8b79e3dd0e0ffc3c05b", "alias_sources": []}
{"id": "b1f68dcfb216556e", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Common inputs"], "section_title": "Common inputs", "section_body": "How it works\n\nCommon inputs\n\nLocal **file path**, public **URL**, or **RTSP URL**\n\nDesktop capture request: **start / stop / summarize session**\n\nDesired operations: get context for understanding, transcode spec, index spec, search query, clip ranges, timeline edits, alert rules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "82a1031470c377d90d18f227e22fb24890af1d51759286bee7a6fa091dc04c58", "alias_sources": []}
{"id": "b21090bf05298997", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "Examples", "Example 2: Vendor/tooling decision"], "section_title": "Example 2: Vendor/tooling decision", "section_body": "Example 2: Vendor/tooling decision\n\nUser request:\n\nCan we send support transcripts and patient messages into our analytics stack?\n\nResponse pattern:\n\nAssume those messages may contain PHI\n\nBlock the design unless the analytics vendor is approved for HIPAA-bound workloads and the data path is minimized\n\nRequire redaction or a non-PHI event model when possible", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "e226e1bb7251cdb81b06f1483cb03c9e154cdcc2b8460cfb450b5f9a186eeb41", "alias_sources": []}
{"id": "b226475f8d943a2f", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "How It Works", "Step 4: Build adapters at the edge"], "section_title": "Step 4: Build adapters at the edge", "section_body": "Step 4: Build adapters at the edge\n\nInbound adapter converts protocol input to use-case input.\n\nOutbound adapter maps app contracts to concrete APIs/ORM/query builders.\n\nMapping stays in adapters, not inside use cases.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "c641de18245eb1d722fd9977a7e501dcc4fb53d3e43a578f28c61304b876a0b8", "alias_sources": []}
{"id": "b24b8fac30f5b66d", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nCustomer says billing is broken, they want a refund, or they cannot cancel\n\nInvestigating duplicate subscriptions, accidental charges, failed renewals, or churn risk\n\nReviewing plan mix, active subscriptions, yearly vs monthly conversion, or team-seat confusion\n\nCreating or validating a billing portal flow\n\nAuditing support complaints that touch subscriptions, invoices, refunds, or payment methods", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "18761abab9ce6d32502fdb2c52d208d1401b02792d9e3155241832b6e5bde68d", "alias_sources": []}
{"id": "b26095bb3db963b3", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "How It Works", "Step 3: Implement Operable Controls"], "section_title": "Step 3: Implement Operable Controls", "section_body": "Step 3: Implement Operable Controls\n\nEnsure a minimum **24x24 CSS pixel** target size (WCAG 2.2 SC 2.5.8).\n\nVerify all interactive elements are reachable via keyboard and have a visible focus indicator (SC 2.4.11).\n\nProvide single-pointer alternatives for dragging movements.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "39f773da32618dce7bbd181240807453fe7a3eae5fe277732be225a69327c860", "alias_sources": []}
{"id": "b28068e68cb39a53", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "Database Setup", "HikariCP Connection Pooling"], "section_title": "HikariCP Connection Pooling", "section_body": "Examples\n\nDSL Query\n\nDAO Entity Usage\n\nHikariCP Configuration\n\nDatabase Setup\n\nHikariCP Connection Pooling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "bb1a27d82b315035219b3cfbf940e1a61fed185d6952670b30dfe912bb3b2495", "alias_sources": []}
{"id": "b28ff0bbb658f3a6", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`healthcare-phi-compliance`\n\n`healthcare-reviewer`\n\n`healthcare-emr-patterns`\n\n`healthcare-eval-harness`\n\n`security-review`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "c93d4a26f4123ce875e8c19c7859d5a03a4b66f0e42a7e2b09e55980680b8df4", "alias_sources": []}
{"id": "b291c2465a9b91b3", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Config and Environment Validation"], "section_title": "Config and Environment Validation", "section_body": "Config and Environment Validation\n\nValidate env at boot, not lazily at first request.\n\nKeep config access behind typed helpers or config services.\n\nSplit dev/staging/prod concerns in config factories instead of branching throughout feature code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "4c8c52cf81733ec6b1308ed5b982aa2e2b21a002d74ff89ba4b3b9ff905ade42", "alias_sources": []}
{"id": "b29c89c1d8355b03", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Code Examples", "CMake/CTest Quickstart"], "section_title": "CMake/CTest Quickstart", "section_body": "Code Examples\n\nBasic Unit Test (gtest)\n\nFixture (gtest)\n\nMock (gmock)\n\nCMake/CTest Quickstart", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "350caa697c3fdf95c40db1622ab8e1187c142569cad33b4212c7f83b1f72ae7e", "alias_sources": []}
{"id": "b2f5c472cffd106d", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nall numbers are sourced or labeled as estimates\n\nold data is flagged\n\nthe recommendation follows from the evidence\n\nrisks and counterarguments are included\n\nthe output makes a decision easier", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "e46d6904e72d2111851f929d1ad2386a89bb4805a63dad39697e464e222a3200", "alias_sources": []}
{"id": "b30537aeee6ecf37", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops"], "section_title": "Messages Ops", "section_body": "Messages Ops\n\nUse this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.\n\nThis is not email work. If the dominant surface is a mailbox, use `email-ops`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "340f192d28712515e2fa8ad088103ef673eda7715e26a9fde1650ca0b8a0c0ea", "alias_sources": []}
{"id": "b34727f904fb77c9", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Core Principles", "3. EAFP - Easier to Ask Forgiveness Than Permission"], "section_title": "3. EAFP - Easier to Ask Forgiveness Than Permission", "section_body": "3. EAFP - Easier to Ask Forgiveness Than Permission\n\nPython prefers exception handling over checking conditions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "1dda98fc8362db942b734c86ac8d2f060c489d3b5f136f09534d5d23e7b505c7", "alias_sources": []}
{"id": "b354074abd108165", "skill_name": "nuxt4-patterns", "skill_description": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "skill_type": null, "section_path": ["Nuxt 4 Patterns", "Route Rules"], "section_title": "Route Rules", "section_body": "Route Rules\n\nPrefer `routeRules` in `nuxt.config.ts` for rendering and caching strategy:\n\n`prerender`: static HTML at build time\n\n`swr`: serve cached content and revalidate in the background\n\n`isr`: incremental static regeneration on supported platforms\n\n`ssr: false`: client-rendered route\n\n`cache` or `redirect`: Nitro-level response behavior\n\nPick route rules per route group, not globally. Marketing pages, catalogs, dashboards, and APIs usually need different strategies.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nuxt4-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.", "mtime": 1776507629.8914075, "body_hash": "17eaf340ec51bcb0d095243012f5aa5c72f2130e91391e83bc271cc54e0f4261", "alias_sources": []}
{"id": "b369833a2a9c85fc", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "Implementation", "1. Regex Parser (Handles the Majority)"], "section_title": "1. Regex Parser (Handles the Majority)", "section_body": "Decision Framework\n\nArchitecture Pattern\n\nImplementation\n\n1. Regex Parser (Handles the Majority)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "76e6e8d570be49a2661acb01bfbd4b53764419b9cc35afd8d0c67cbc5685d985", "alias_sources": []}
{"id": "b369d2eecee9152d", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Rate Limiting"], "section_title": "Rate Limiting", "section_body": "Rate Limiting\n\nApply Bucket4j or gateway-level limits on expensive endpoints\n\nLog and alert on bursts; return 429 with retry hints", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "0c90f02aba72ef9a3beb6cf62bbf8266d9eed0a68892fbbc1554957b9d076223", "alias_sources": []}
{"id": "b372cd3b5e03756f", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding file processing pipelines (PDF, images, text extraction)\n\nProcessing cost is high and same files are processed repeatedly\n\nNeed a `--cache/--no-cache` CLI option\n\nWant to add caching to existing pure functions without modifying them", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "e728fa9f7d0e55ce13153e8d98d8b34f8b9c7c6808d0a2aac4a632ffe49830ad", "alias_sources": []}
{"id": "b37e4e6c6c93ef8c", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBreaking a large feature into multiple PRs with clear dependency order\n\nPlanning a refactor or migration that spans multiple sessions\n\nCoordinating parallel workstreams across sub-agents\n\nAny task where context loss between sessions would cause rework\n\n**Do not use** for tasks completable in a single PR, fewer than 3 tool calls, or when the user says \"just do it.\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "be3e6bd9e9b600be272a4362b26582995d80b53d90474df14f34a46a99eafc87", "alias_sources": []}
{"id": "b3858a5ede04c601", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "5. The De-Sloppify Pattern"], "section_title": "5. The De-Sloppify Pattern", "section_body": "5. The De-Sloppify Pattern\n\n**An add-on pattern for any loop.** Add a dedicated cleanup/refactor step after each Implementer step.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "6336aa9649e5e58f0b6c56bd92084f5b264011a959710d30ae1d66bcd549efb2", "alias_sources": []}
{"id": "b3af673e98b39493", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Test Organization", "Test Classes"], "section_title": "Test Classes", "section_body": "Testing with tmpdir Fixture\n\nTest Organization\n\nDirectory Structure\n\nTest Classes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "715b18a1b7381d668cf841e2cc416b85971ab0dec5d1f03241e28843bd059d04", "alias_sources": []}
{"id": "b3b4ce398780be90", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Core Concepts", "3. Narrow Retry Logic"], "section_title": "3. Narrow Retry Logic", "section_body": "3. Narrow Retry Logic\n\nRetry only on transient errors. Fail fast on authentication or bad request errors.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "abe2c0c977ffa5ed9c31bf2ba1763948077121220893f1f52e644397c01b8890", "alias_sources": []}
{"id": "b3db422e1357df7a", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Root Cause Analysis"], "section_title": "Root Cause Analysis", "section_body": "Root Cause Analysis\n\nStopping at symptoms is the most common failure mode in quality investigations:\n\n**5 Whys:** Simple, effective for straightforward process failures. Limitation: assumes a single linear causal chain. Fails on complex, multi-factor problems. Each \"why\" must be verified with data, not opinion \u2014 \"Why did the dimension drift?\" \u2192 \"Because the tool wore\" is only valid if you measured tool wear.\n\n**Ishikawa (Fishbone) Diagram:** Use the 6M framework (Man, Machine, Material, Method, Measurement, Mother Nature/Environment). Forces consideration of all potential cause categories. Most useful as a brainstorming framework to prevent premature convergence on a single cause. Not a root cause tool by itself \u2014 it generates hypotheses that need verification.\n\n**Fault Tree Analysis (FTA):** Top-down, deductive. Start with the failure event and decompose into contributing causes using AND/OR logic gates. Quantitative when failure rate data is available. Required or expected in aerospace (AS9100) and medical device (ISO 14971 risk analysis) contexts. Most rigorous method but resource-intensive.\n\n**8D Methodology:** Team-based, structured problem-solving. D0: Symptom recognition and emergency response. D1: Team formation. D2: Problem definition (IS/IS-NOT). D3: Interim containment. D4: Root cause identification (use fishbone + 5 Whys within 8D). D5: Corrective action selection. D6: Implementation. D7: Prevention of recurrence. D8: Team recognition. Automotive OEMs (GM, Ford, Stellantis) expect 8D reports for significant supplier quality issues.\n\n**Red flags that you stopped at symptoms:** Your \"root cause\" contains the word \"error\" (human error is never a root cause \u2014 why did the system allow the error?), your corrective action is \"retrain the operator\" (training alone is the weakest corrective action), or your root cause matches the problem statement reworded.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "4368175da1f39ad15d75a5b1e669b64f77327c12ab4cd9a536b92db55b1e5971", "alias_sources": []}
{"id": "b467d80b2c886cc6", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Grader Types"], "section_title": "Grader Types", "section_body": "Regression Evals\n\nEnsure changes don't break existing functionality:\n\nGrader Types", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "d32ee793ac69e9161fda8a2c15ecd8f87a36a9670e5d417ea32a636d6303662b", "alias_sources": []}
{"id": "b4715f82eb3a59e5", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Core Components", "3. Dispatch / Remote Agents"], "section_title": "3. Dispatch / Remote Agents", "section_body": "3. Dispatch / Remote Agents\n\nTrigger Claude Code agents remotely for event-driven workflows.\n\n**Dispatch patterns:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "1d8f45990daf645b6c1fa1728fae6f4e3f9eab9416c1c9d1c2a3acc452061e52", "alias_sources": []}
{"id": "b47ebcc4bdd8edf9", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Examples", "Example 2: \"Add HTTP client wrapper\""], "section_title": "Example 2: \"Add HTTP client wrapper\"", "section_body": "Examples\n\nExample 1: \"Add dead link checking\"\n\nExample 2: \"Add HTTP client wrapper\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "52584d815b61632cc558ef1629d197a8a791e57e209974cae260f8716a5339b6", "alias_sources": []}
{"id": "b4887bae99c0734e", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding Django web applications\n\nDesigning Django REST Framework APIs\n\nWorking with Django ORM and models\n\nSetting up Django project structure\n\nImplementing caching, signals, middleware", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "e8f26369a24874bdd7a83fd7b052e67dc30763ed41a1a1057b3fb992e28ddb85", "alias_sources": []}
{"id": "b49a790798db1348", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Cost Analysis"], "section_title": "Cost Analysis", "section_body": "Cost Analysis\n\nSanta Method costs approximately 2-3x the token cost of generation alone per verification cycle. For most high-stakes output, this is a bargain:\n\nFor batch operations, the sampling pattern reduces cost to ~15-20% of full verification while catching >90% of systematic issues.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "9174810b37d439fcb3da1d49929160c6f621a7c5537d5deea4cc75dd68a1f6cc", "alias_sources": []}
{"id": "b4aad70dbfd9e5b7", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop"], "section_title": "Spring Boot Verification Loop", "section_body": "Spring Boot Verification Loop\n\nRun before PRs, after major changes, and pre-deploy.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:deploy"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "cce6def530d975fc50f145867aebceaf564b0b152e7191e14f060bb4433fc1c3", "alias_sources": []}
{"id": "b4cc9db09ec27220", "skill_name": "canary-watch", "skill_description": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "skill_type": null, "section_path": ["Canary Watch \u2014 Post-Deploy Monitoring", "How It Works", "Notifications"], "section_title": "Notifications", "section_body": "Alert Thresholds\n\nNotifications\n\nWhen a critical threshold is crossed:\n\nDesktop notification (macOS/Linux)\n\nOptional: Slack/Discord webhook\n\nLog to `~/.claude/canary-watch.log`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\canary-watch\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "mtime": 1776507629.4902108, "body_hash": "e1b68edfc1ca3d381d7cd42a5a375d41d1e31125502711753318e00d75bb748a", "alias_sources": []}
{"id": "b4d63da59f7bb3b3", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "How It Works", "Step 2: Define Perceivable Attributes"], "section_title": "Step 2: Define Perceivable Attributes", "section_body": "Step 2: Define Perceivable Attributes\n\nEnsure text contrast meets **4.5:1** (normal) or **3:1** (large/UI).\n\nAdd text alternatives for non-text content (images, icons).\n\nImplement responsive reflow (up to 400% zoom without loss of function).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "f96990d09102c73ce5a4a8a7e07bc2e326f87da9fb1f29aa38ecb67bdbedf9b3", "alias_sources": []}
{"id": "b4df0c54daae865a", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill"], "section_title": "Agent Eval Skill", "section_body": "Agent Eval Skill\n\nA lightweight CLI tool for comparing coding agents head-to-head on reproducible tasks. Every \"which coding agent is best?\" comparison runs on vibes \u2014 this tool systematizes it.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "59a4fde36ab8c25a6b82b24645ba846e0df2363421999d428e1ea1cd2b3e807a", "alias_sources": []}
{"id": "b4f3d4bc108cc47c", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Escalation Protocols", "Escalation Chain"], "section_title": "Escalation Chain", "section_body": "Escalation Chain\n\nEnergy Analyst \u2192 Energy Procurement Manager (24 hours) \u2192 Director of Procurement (48 hours) \u2192 VP Finance/CFO (>$500K exposure or long-term commitment >5 years)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "828fb2ad5bb53c1748f4c122c9accb3c55aa638119567a138257e341607daa0e", "alias_sources": []}
{"id": "b517c44c952f1185", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Workflow", "1. Learn the house style"], "section_title": "1. Learn the house style", "section_body": "Workflow\n\n1. Learn the house style\n\nInspect at least 2 existing connectors/providers and map:\n\nfile layout\n\nabstraction boundaries\n\nconfig model\n\nretry / pagination conventions\n\nregistry hooks\n\ntest fixtures and naming", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "0a44eded7dc02b8e0c3aa43580223bb320a2d79004efb7c24b8cc2df2a3c5a24", "alias_sources": []}
{"id": "b5411f2c6e08d55a", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Common Research Modes", "Investor / Fund Diligence"], "section_title": "Investor / Fund Diligence", "section_body": "Common Research Modes\n\nInvestor / Fund Diligence\n\nCollect:\n\nfund size, stage, and typical check size\n\nrelevant portfolio companies\n\npublic thesis and recent activity\n\nreasons the fund is or is not a fit\n\nany obvious red flags or mismatches", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "72d7756b2a06c45cb25667e17391f49104ce695ddd8de7c015fe7d33a57e7717", "alias_sources": []}
{"id": "b54a26e515bbb1d4", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Overview"], "section_title": "Overview", "section_body": "Writing Hookify Rules\n\nOverview\n\nHookify rules are markdown files with YAML frontmatter that define patterns to watch for and messages to show when those patterns match. Rules are stored in `.claude/hookify.{rule-name}.local.md` files.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "07c25070af118a0101abd37d68ebd54d612ced6fa298534bc6ae51a858f4e485", "alias_sources": []}
{"id": "b550e153a2f3b58c", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Agents"], "section_title": "Agents", "section_body": "Configuration\n\nUsers should set these environment variables:\n\nAgents\n\nThis skill includes specialized agents in the `agents/` subdirectory:\n\n**signal-scorer** \u2014 Searches and ranks prospects by relevance signals\n\n**mutual-mapper** \u2014 Maps social graph connections and finds warm paths\n\n**enrichment-agent** \u2014 Pulls detailed profile and company data\n\n**outreach-drafter** \u2014 Generates personalized messages", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "dce51d54a8ff722aedbfb40b7bb2ea8271c05efab23eb7e78674008c768c9151", "alias_sources": []}
{"id": "b55e2b8e9ea2abff", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "7. Rate Limiting"], "section_title": "7. Rate Limiting", "section_body": "7. Rate Limiting\n\nAPI Rate Limiting\n\nAPI Rate Limiting\n\nExpensive Operations\n\nExpensive Operations\n\nVerification Steps\n\nVerification Steps\n\n[ ] Rate limiting on all API endpoints\n\n[ ] Stricter limits on expensive operations\n\n[ ] IP-based rate limiting\n\n[ ] User-based rate limiting (authenticated)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "903a08492cedf9e2208e49cba6f36d97c400d7df54e7f7204abdcd55bd4320e8", "alias_sources": []}
{"id": "b583e84e9e316a84", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Testing Best Practices", "DON'T"], "section_title": "DON'T", "section_body": "DON'T\n\n**Don't test Django internals**: Trust Django to work\n\n**Don't test third-party code**: Trust libraries to work\n\n**Don't ignore failing tests**: All tests must pass\n\n**Don't make tests dependent**: Tests should run in any order\n\n**Don't over-mock**: Mock only external dependencies\n\n**Don't test private methods**: Test public interface\n\n**Don't use production database**: Always use test database", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "d640f2ce118b97551e813ef775c278250db82585c3b39149b5d103f8139120e7", "alias_sources": []}
{"id": "b59aacef85f68704", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Workflow", "3. Handle codes as a focused retrieval task"], "section_title": "3. Handle codes as a focused retrieval task", "section_body": "3. Handle codes as a focused retrieval task\n\nFor one-time codes:\n\nsearch the recent local message window first\n\nnarrow by service or sender when possible\n\nstop once the code is found or the focused search is exhausted", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "f1051475ec49e417034f24e7e4149440b66c6a1215a1b3434e80602144228cf7", "alias_sources": []}
{"id": "b59cca7d67a4b338", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Core Principles", "5. The `isa` Operator (5.32+)"], "section_title": "5. The `isa` Operator (5.32+)", "section_body": "5. The `isa` Operator (5.32+)\n\nInfix type-check \u2014 replaces `blessed($o) && $o->isa('X')`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "678d488de7c0694da218578cac0dd0b3e5c2bdb241fcbfba199a083c32a9e36d", "alias_sources": []}
{"id": "b5dd28bb5773b466", "skill_name": "canary-watch", "skill_description": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "skill_type": null, "section_path": ["Canary Watch \u2014 Post-Deploy Monitoring", "How It Works", "Watch Modes"], "section_title": "Watch Modes", "section_body": "What It Watches\n\nWatch Modes\n\n**Quick check** (default): single pass, report results\n\n**Sustained watch**: check every N minutes for M hours\n\n**Diff mode**: compare staging vs production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\canary-watch\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "mtime": 1776507629.4902108, "body_hash": "8ac3cb3ccd518f874e1cd4b8d1e8ddf49090f25e226aea51d5f586d3e600760e", "alias_sources": []}
{"id": "b5f067fb0cc77821", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Test Coverage", "Coverage Targets"], "section_title": "Coverage Targets", "section_body": "Test Coverage\n\nRunning Coverage\n\nCoverage Targets\n\n| Code Type | Target |\n|-----------|--------|\n| Critical business logic | 100% |\n| Public APIs | 90%+ |\n| General code | 80%+ |\n| Generated code | Exclude |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "ff9dbeca94835edcb5ad58112428d3404a08d8ca1ad92318a858416a702d842a", "alias_sources": []}
{"id": "b5f2eed6521895f5", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nRunning long sessions that approach context limits (200K+ tokens)\n\nWorking on multi-phase tasks (research \u2192 plan \u2192 implement \u2192 test)\n\nSwitching between unrelated tasks within the same session\n\nAfter completing a major milestone and starting new work\n\nWhen responses slow down or become less coherent (context pressure)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "671f99354455b23b23d0c0fd48552e52e6aa93606db32916b7635d085f239929", "alias_sources": []}
{"id": "b5f46a9f6a7fb247", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Quick Start", "2. Initialize Directory Structure"], "section_title": "2. Initialize Directory Structure", "section_body": "2. Initialize Directory Structure\n\nThe system creates directories automatically on first use, but you can also create them manually:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "744eaa720fa7275ec3bdba377fd88d62934760c6aa6aa1d56f8bd3d9bd5cc195", "alias_sources": []}
{"id": "b5f4756b38e79d03", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nNavigation bars, toolbars, and tab bars with the new iOS 26 design\n\nFloating action buttons and card-style containers\n\nInteractive controls that need visual depth and touch feedback\n\nWidgets that should integrate with the system's Liquid Glass appearance\n\nMorphing transitions between related UI states", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "713a9fa893d517a339d2ede32a69138780158361e1480822d15da85d31fe1f8d", "alias_sources": []}
{"id": "b5fb6d10b71db701", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "Complexity Tiers"], "section_title": "Complexity Tiers", "section_body": "Complexity Tiers\n\nDifferent tiers get different pipeline depths:\n\n| Tier | Pipeline Stages |\n|------|----------------|\n| **trivial** | implement \u2192 test |\n| **small** | implement \u2192 test \u2192 code-review |\n| **medium** | research \u2192 plan \u2192 implement \u2192 test \u2192 PRD-review + code-review \u2192 review-fix |\n| **large** | research \u2192 plan \u2192 implement \u2192 test \u2192 PRD-review + code-review \u2192 review-fix \u2192 final-review |\n\nThis prevents expensive operations on simple changes while ensuring architectural changes get thorough scrutiny.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "936e26ec97d8d5b54595da3d76f7f57cb430d85804dd0c804dea01aeed47f931", "alias_sources": []}
{"id": "b62e6c1079729764", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Carrier tender acceptance drops below 70% for 2 consecutive weeks | Notify procurement, schedule carrier call | Within 48 hours |\n| Spot spend exceeds 30% of lane budget for any lane | Review routing guide, initiate carrier sourcing | Within 1 week |\n| Carrier FMCSA authority or insurance lapses | Immediately suspend tendering, notify operations | Within 1 hour |\n| Single carrier controls >50% of a critical lane | Initiate secondary carrier qualification | Within 2 weeks |\n| Claims ratio exceeds 1.5% for any carrier for 60+ days | Schedule formal performance review | Within 1 week |\n| Rate variance >20% from DAT benchmark on 5+ lanes | Initiate contract renegotiation or mini-bid | Within 2 weeks |\n| Carrier reports driver shortage or service disruption | Activate backup carriers, increase monitoring | Within 4 hours |\n| Double-brokering confirmed on any load | Immediate carrier suspension, compliance review | Within 2 hours |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "2bbf920a46b4826ab03333c11ac02912c2ccfa709cd8f79aa40ac591f02c5b00", "alias_sources": []}
{"id": "b63a34b8cc00bd83", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns", "Performance", "Stable Types for Skippable Recomposition"], "section_title": "Stable Types for Skippable Recomposition", "section_body": "expect/actual for Platform Composables\n\nPerformance\n\nStable Types for Skippable Recomposition\n\nMark classes as `@Stable` or `@Immutable` when all properties are stable:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "5713eee85b73d398c00e9bf6ae22fe59cb2939417c96f49b5e5391fae8010dbb", "alias_sources": []}
{"id": "b66c8ff8015d0dc2", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security", "Examples", "Treat prompt injection as a financial attack"], "section_title": "Treat prompt injection as a financial attack", "section_body": "Examples\n\nTreat prompt injection as a financial attack\n\nDo not blindly inject token names, pair labels, webhooks, or social feeds into an execution-capable prompt.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "d9a2ca22516b4d7b684c2485b66c25db460bda2f5a90135554ce796540f84d34", "alias_sources": []}
{"id": "b685983f22a85fe0", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method"], "section_title": "Santa Method", "section_body": "Santa Method\n\nMulti-agent adversarial verification framework. Make a list, check it twice. If it's naughty, fix it until it's nice.\n\nThe core insight: a single agent reviewing its own output shares the same biases, knowledge gaps, and systematic errors that produced the output. Two independent reviewers with no shared context break this failure mode.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "b78ebca3aa18c61cd60c77658d5bb2c6ddd630f3369b7ac15c3859216e4a96cd", "alias_sources": []}
{"id": "b68b9adc47ee8cde", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "How It Works", "On-page rules"], "section_title": "On-page rules", "section_body": "On-page rules\n\nTitle tags\n\nTitle tags\n\naim for roughly 50-60 characters\n\nput the primary keyword or concept near the front\n\nmake the title legible to humans, not stuffed for bots\n\nMeta descriptions\n\nMeta descriptions\n\naim for roughly 120-160 characters\n\ndescribe the page honestly\n\ninclude the main topic naturally\n\nHeading structure\n\nHeading structure\n\none clear `H1`\n\n`H2` and `H3` should reflect actual content hierarchy\n\ndo not skip structure just for visual styling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "af4065a06aedc6ed83b9b346de2bc0f23ce2572867ef32266d53e2f1b4f662f3", "alias_sources": []}
{"id": "b6959b84e80bd0a1", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Web Security", "CSRF Protection"], "section_title": "CSRF Protection", "section_body": "Web Security\n\nXSS Prevention\n\nCSRF Protection\n\nUse constant-time comparison when verifying tokens. Most web frameworks (Mojolicious, Dancer2, Catalyst) provide built-in CSRF protection \u2014 prefer those over hand-rolled solutions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "715549bf8c57035317351ff79dd57aea2fc5ab89032e63361bfe2b27bc4310ec", "alias_sources": []}
{"id": "b6a23a689b30d6ab", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Memory and Performance", "Using __slots__ for Memory Efficiency"], "section_title": "Using __slots__ for Memory Efficiency", "section_body": "__init__.py for Package Exports\n\nMemory and Performance\n\nUsing __slots__ for Memory Efficiency", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "9a81a1243a24a8b73c091210b5a9fa903a9915e7fd3e5246da3dc70e37eeb413", "alias_sources": []}
{"id": "b6cf553bbd2ad120", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u5bf9\u8bdd\u8bed\u6c14\u6307\u5357", "\u5404\u6b65\u9aa4\u7684\u8bed\u6c14\u53c2\u8003\uff08\u4e0d\u8981\u7167\u6284\uff0c\u6bcf\u6b21\u53d8\u5316\uff09"], "section_title": "\u5404\u6b65\u9aa4\u7684\u8bed\u6c14\u53c2\u8003\uff08\u4e0d\u8981\u7167\u6284\uff0c\u6bcf\u6b21\u53d8\u5316\uff09", "section_body": 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\u8eab\u4efd\u5f20\u529b\u540e**\uff1a\n\n\u6211\u5728\u8fd9\u53ea\u9f99\u867e\u8eab\u4e0a\u770b\u5230\u4e86\u4e00\u9053\u88c2\u7f1d\u2014\u2014[\u6307\u51fa\u5185\u5728\u77db\u76fe\u7684\u5177\u4f53\u5f20\u529b]\u3002\u88c2\u7f1d\u662f\u597d\u4e1c\u897f\uff0c\u5149\u5c31\u662f\u4ece\u88c2\u7f1d\u91cc\u900f\u8fdb\u6765\u7684\u3002\u8fd9\u4e2a\u80da\u5b50\u4f60\u89c9\u5f97\u884c\u4e0d\u884c\uff1f\u6211\u53ef\u4ee5\u518d\u6253\u78e8\uff0c\u4e5f\u53ef\u4ee5\u76f4\u63a5\u8fdb\u4e0b\u4e00\u7089\u3002\n\n**Step 3 \u5e95\u7ebf\u89c4\u5219\u540e**\uff1a\n\n[\u6311\u51fa\u6700\u6709\u7279\u8272\u7684\u90a3\u6761\u89c4\u5219\u70b9\u8bc4]\u3002\u8fd9\u6761\u89c4\u77e9\u4e0d\u662f\u6211\u786c\u585e\u7684\u2014\u2014\u662f\u8fd9\u53ea\u9f99\u867e\u81ea\u5df1\u8eab\u4e0a\u957f\u51fa\u6765\u7684\u3002\u8fd8\u8981\u52a0\u51cf\u8c03\u6574\uff0c\u8fd8\u662f\u8fd9\u5c31\u662f\u5b83\u7684\u9aa8\u67b6\u4e86\uff1f\n\n**Step 4 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\u65b9\u6848\u5b8c\u6210\u540e**\uff1a\n\n\u597d\u4e86\u3002\u4ece\u865a\u65e0\u4e2d\u8d70\u51fa\u6765\u4e00\u53ea\u65b0\u7684\u9f99\u867e\u2014\u2014[\u540d\u5b57]\u3002\u5b83\u7684\u7075\u9b42\u3001\u89c4\u77e9\u3001\u540d\u5b57\u3001\u957f\u76f8\u90fd\u6709\u4e86\u3002\u8981\u6211\u628a\u5b83\u7684\u7075\u9b42\u523b\u8fdb SOUL.md\uff0c\u628a\u5b83\u7684\u8eab\u4efd\u8bc1\u5199\u6210 IDENTITY.md \u5417\uff1f\u544a\u8bc9\u6211\u653e\u54ea\u4e2a\u76ee\u5f55\uff0c\u6211\u6765\u843d\u7b14\u3002", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "bb39f487bc272f4228677694c24d79579461b9760a370c1b6da6e93a89dd1a8e", "alias_sources": []}
{"id": "b6d472d4a233cea5", "skill_name": "nodejs-keccak256", "skill_description": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "skill_type": null, "section_path": ["Node.js Keccak-256", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThe two algorithms produce different outputs for the same input, and Node will not warn you.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nodejs-keccak256\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "mtime": 1776507629.8874083, "body_hash": "8d8645d3d604422b0029350d16f01be4a4c4e987760a31906950c0aec62f78cd", "alias_sources": []}
{"id": "b6fe2fdb1b335e21", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Enumerations (Enum.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Enumerations (Enum.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **Enum.1** | Prefer enumerations over macros |\n| **Enum.3** | Prefer `enum class` over plain `enum` |\n| **Enum.5** | Don't use ALL_CAPS for enumerators |\n| **Enum.6** | Avoid unnamed enumerations |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "5aad1a4c4cdcdfd9ac3c22180f1090438b75a9119501bf687e98d851cf8e6a95", "alias_sources": []}
{"id": "b74a7e14e78c797b", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Scope Control"], "section_title": "Scope Control", "section_body": "Step 3: Report\n\nFor each bug found:\n\nScope Control\n\nThis audit is expensive. Scope it appropriately:\n\n**Full app audit:** Use when launching or after major refactor. Launch parallel agents per page.\n\n**Single page audit:** Use after building a new page or after a user reports a broken button.\n\n**Store-focused audit:** Use after modifying a Zustand store \u2014 audit all consumers of the changed actions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "f62d3c1ac97d5c60bc165471e24e29e248673e5ea43d30e56c4d2d5ea13b22d3", "alias_sources": []}
{"id": "b753c71cc5021c8a", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Related"], "section_title": "Related", "section_body": "Related\n\n[The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) \u2014 Token optimization section\n\nMemory persistence hooks \u2014 For state that survives compaction\n\n`continuous-learning` skill \u2014 Extracts patterns before session ends", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "d0bfb2250bdddfd5249c555be8ee0f3d2610ab7bb00d8290fe823994d78f51eb", "alias_sources": []}
{"id": "b755e1edf11793f9", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns"], "section_title": "MCP Server Patterns", "section_body": "MCP Server Patterns\n\nThe Model Context Protocol (MCP) lets AI assistants call tools, read resources, and use prompts from your server. Use this skill when building or maintaining MCP servers. The SDK API evolves; check Context7 (query-docs for \"MCP\") or the official MCP documentation for current method names and signatures.\n\nFor the broader routing decision of when a capability should be a rule, a skill, MCP, or a plain CLI/API workflow, see [docs/capability-surface-selection.md](../../docs/capability-surface-selection.md).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "631e90e85fb5cce9b3c46373b88f7863ce9dea2ff32b38769e59c2926ab924aa", "alias_sources": []}
{"id": "b7672a82538acae4", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser says \"optimize this prompt\", \"improve my prompt\", \"rewrite this prompt\"\n\nUser says \"help me write a better prompt for...\"\n\nUser says \"what's the best way to ask Claude Code to...\"\n\nUser says \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\"\n\nUser pastes a draft prompt and asks for feedback or enhancement\n\nUser says \"I don't know how to prompt for this\"\n\nUser says \"how should I use ECC for...\"\n\nUser explicitly invokes `/prompt-optimize`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "6c5a0f509368c0e6ecaf5815e1a5e2df74aa10030ea04da60ddfbdfcb349b895", "alias_sources": []}
{"id": "b78751a6f29eabe8", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns"], "section_title": "Kotlin Exposed Patterns", "section_body": "Kotlin Exposed Patterns\n\nComprehensive patterns for database access with JetBrains Exposed ORM, including DSL queries, DAO, transactions, and production-ready configuration.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "7ce530b8e82fd53f217443ba60ad35d68bc0644e6c7f63ef0e0a797e9c2f1bbf", "alias_sources": []}
{"id": "b79f442968030d07", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Decision Frameworks", "Carrier Selection for New Lanes"], "section_title": "Carrier Selection for New Lanes", "section_body": "Decision Frameworks\n\nCarrier Selection for New Lanes\n\nWhen adding a new lane to your network, evaluate candidates on this decision tree:\n\n**Do existing portfolio carriers cover this lane?** If yes, negotiate with incumbents first \u2014 adding a new carrier for one lane introduces onboarding cost ($500-$1,500) and relationship management overhead. Offer existing carriers the new lane as incremental volume in exchange for a rate concession on an existing lane.\n\n**If no incumbent covers the lane:** Source 3-5 candidates. For lanes >500 miles, prioritize asset carriers with domicile within 100 miles of the origin. For lanes <300 miles, consider regional carriers and dedicated fleets. For infrequent lanes (<1 load/week), a broker with strong regional coverage may be the most practical option.\n\n**Evaluate:** Run FMCSA compliance check. Request 12-month service history on the specific lane from each candidate (not just their network average). Check DAT lane rates for market benchmark. Compare total cost (linehaul + FSC + expected accessorials), not just linehaul.\n\n**Trial period:** Award 30-day trial at contracted rates. Set clear KPIs: OTD \u226593%, tender acceptance \u226585%, invoice accuracy \u226595%. Review at 30 days \u2014 do not lock in a 12-month commitment without operational validation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "7ab0831063c6389dab2bf8036f74684468b0d2d70e94576ffd0aeb69d775926a", "alias_sources": []}
{"id": "b7cd2968e1c70911", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Examples", "Reentrancy: enforce CEI order"], "section_title": "Reentrancy: enforce CEI order", "section_body": "Examples\n\nReentrancy: enforce CEI order\n\nVulnerable:\n\nSafe:\n\nDo not write your own guard when a hardened library exists.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "cc96c9f8cd33cdeb9bffd502a2dccab27c82aeb04dbb22e088a6314c82cd514b", "alias_sources": []}
{"id": "b7cf4f76e01fac1a", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "3. Infinite Agentic Loop"], "section_title": "3. Infinite Agentic Loop", "section_body": "3. Infinite Agentic Loop\n\n**A two-prompt system** that orchestrates parallel sub-agents for specification-driven generation. Developed by disler (credit: @disler).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "bd9b8298efc945fa5ecffd0ac29b9689946d95752adb81fe8b38f2b69f015582", "alias_sources": []}
{"id": "b80bff0c111aba22", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with your internal claims deadlines, mode-specific escalation matrix, and insurer notice requirements.\n\nKeep carrier-specific proof-of-delivery rules and OS&D checklists near the team that will execute the playbooks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "08eedaa097e2ca4ec70aa94788943ee136c5e3e974076f0197e50c7d8144d82d", "alias_sources": []}
{"id": "b83ca9da452622cd", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nDesigning ClickHouse table schemas (MergeTree engine selection)\n\nWriting analytical queries (aggregations, window functions, joins)\n\nOptimizing query performance (partition pruning, projections, materialized views)\n\nIngesting large volumes of data (batch inserts, Kafka integration)\n\nMigrating from PostgreSQL/MySQL to ClickHouse for analytics\n\nImplementing real-time dashboards or time-series analytics", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "3d40eb2cf437dbb13f90428ecff3bc651c2dfbe9001bdfc05f4640ac752ce9e2", "alias_sources": []}
{"id": "b847b90237bd0344", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Best Practices", "3. Data Types"], "section_title": "3. Data Types", "section_body": "3. Data Types\n\nUse smallest appropriate type (UInt32 vs UInt64)\n\nUse LowCardinality for repeated strings\n\nUse Enum for categorical data", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "b4e2a10adeb5449e3aa992f4a7a824f5a8084bdec87e3cba543e655616d890a3", "alias_sources": []}
{"id": "b84e2b0c8722d184", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Best Practices"], "section_title": "Best Practices", "section_body": "Watch Mode During Development\n\nPre-Commit Hook\n\nCI/CD Integration\n\nBest Practices\n\n**Write Tests First** - Always TDD\n\n**One Assert Per Test** - Focus on single behavior\n\n**Descriptive Test Names** - Explain what's tested\n\n**Arrange-Act-Assert** - Clear test structure\n\n**Mock External Dependencies** - Isolate unit tests\n\n**Test Edge Cases** - Null, undefined, empty, large\n\n**Test Error Paths** - Not just happy paths\n\n**Keep Tests Fast** - Unit tests < 50ms each\n\n**Clean Up After Tests** - No side effects\n\n**Review Coverage Reports** - Identify gaps", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:review"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "2f2c7dd5b0b14fb6ceda8fb67ff273b0083ca2c2745660720bcfdc20c698398b", "alias_sources": []}
{"id": "b8d3f6fee037a91d", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "What to Extract"], "section_title": "What to Extract", "section_body": "What to Extract\n\nrhythm and sentence length\n\ncompression vs explanation\n\ncapitalization norms\n\nparenthetical use\n\nquestion frequency and purpose\n\nhow sharply claims are made\n\nhow often numbers, mechanisms, or receipts show up\n\nhow transitions work\n\nwhat the author never does", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "9a33cd8ddacef20d6c37fed93f9b4bc704c53578fc25f63f2a972a57cec87e7c", "alias_sources": []}
{"id": "b8ee9e9ddce5f7e0", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Parallel Review Passes"], "section_title": "Parallel Review Passes", "section_body": "Parallel Review Passes\n\nIf parallel subagents are available, split the review into these passes:\n\nAgents\n\nclassify `agents/*`\n\nSkills\n\nclassify `skills/*`\n\nCommands\n\nclassify `commands/*`\n\nRules\n\nclassify `rules/*`\n\nHooks and scripts\n\nclassify hook surfaces, MCP health checks, helper scripts, and OS compatibility\n\nExtras\n\nclassify contexts, examples, MCP configs, templates, and guidance docs\n\nIf subagents are not available, run the same passes sequentially.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review", "phase:docs"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "c73aa198a49c5cfaba54f95fc030137110b769c17f605e9b503f6ef556bae412", "alias_sources": []}
{"id": "b90b615bb9efdd74", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "TDD Workflow Steps", "Step 2: Generate Test Cases"], "section_title": "Step 2: Generate Test Cases", "section_body": "TDD Workflow Steps\n\nStep 1: Write User Journeys\n\nStep 2: Generate Test Cases\n\nFor each user journey, create comprehensive test cases:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "709559258565def5611d4dd1eada580a96bce450ba32d0da3eab94774b5f69d3", "alias_sources": []}
{"id": "b911a5db0745db26", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering"], "section_title": "Agentic Engineering", "section_body": "Agentic Engineering\n\nUse this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "9b21f6884bdeb7633ddbc8508d61427e344f90845776aef622323589147592c6", "alias_sources": []}
{"id": "b93cc6c13c579d9b", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 2: Rehearse"], "section_title": "Phase 2: Rehearse", "section_body": "Phase 2: Rehearse\n\nRun through all steps without recording. Verify every selector resolves.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "0f66ad524c5d8d08f28cf14c01257a3ffb1bebb2fc23b86ca73d14d8f9b5c716", "alias_sources": []}
{"id": "b94c88cff8b06c8a", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Seasonal Transition Management"], "section_title": "Seasonal Transition Management", "section_body": "Seasonal Transition Management\n\n**Buy Timing:** Seasonal buys (e.g., holiday, summer, back-to-school) are committed 12\u201320 weeks before selling season. Allocate 60\u201370% of expected season demand in the initial buy, reserving 30\u201340% for reorder based on early-season sell-through. This \"open-to-buy\" reserve is your hedge against forecast error.\n\n**Markdown Timing:** Begin markdowns when sell-through pace drops below 60% of plan at the season midpoint. Early shallow markdowns (20\u201330% off) recover more margin than late deep markdowns (50\u201370% off). The rule of thumb: every week of delay in markdown initiation costs 3\u20135 percentage points of margin on the remaining inventory.\n\n**Season-End Liquidation:** Set a hard cutoff date (typically 2\u20133 weeks before the next season's product arrives). Everything remaining at cutoff goes to outlet, liquidator, or donation. Holding seasonal product into the next year rarely works \u2014 style items date, and warehousing cost erodes any margin recovery from selling next season.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "55e5ac9a438e04b9fd0d9a357eaea8ace8a9ca5dfd8070b5e47e6e67902e7016", "alias_sources": []}
{"id": "b951b54272377f0d", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Tool Requirements", "Required"], "section_title": "Required", "section_body": "Tool Requirements\n\nRequired\n\n**Exa MCP** \u2014 Deep web search for people, companies, and signals (`web_search_exa`)\n\n**X API** \u2014 Follower/following graph, mutual analysis, recent activity (`X_BEARER_TOKEN`, plus write-context credentials such as `X_CONSUMER_KEY`, `X_CONSUMER_SECRET`, `X_ACCESS_TOKEN`, `X_ACCESS_TOKEN_SECRET`)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "1c9e3f1ed5908d2cc5f034e6273ef55bd2b26f6a98fd570c264f6bc97d77f3f3", "alias_sources": []}
{"id": "b95abdb0f268c747", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:migrate` \u2014 Convert v1 Data to v2"], "section_title": "`/ck:migrate` \u2014 Convert v1 Data to v2", "section_body": "`/ck:migrate` \u2014 Convert v1 Data to v2\n\nFor a dry run first:\n\nDisplay output verbatim. Migrates all v1 CONTEXT.md + meta.json files to v2 context.json.\nOriginals are backed up as `meta.json.v1-backup` \u2014 nothing is deleted.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "c2f736cf1bf361855684a6a648d11b966e654a128b5d4b9df1aa1d0a66149dc6", "alias_sources": []}
{"id": "b968b321db7a669b", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns"], "section_title": "Perl Security Patterns", "section_body": "Perl Security Patterns\n\nComprehensive security guidelines for Perl applications covering input validation, injection prevention, and secure coding practices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "9eaefe439529048cadabe1c19462605d86d47da41ee1edd9fd5e4486b1fb64e3", "alias_sources": []}
{"id": "b9cbff24bc01abe1", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "How It Works", "Non-Custodial Wallets"], "section_title": "Non-Custodial Wallets", "section_body": "Non-Custodial Wallets\n\nAgents hold their own keys via ERC-4337 smart accounts. The orchestrator sets policy before delegation; the agent can only spend within bounds. No pooled funds, no custodial risk.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "b3a039ad077f4b85840e03bdeebfebab08e32c8aaa3feb831a2db7b356a398d0", "alias_sources": []}
{"id": "ba364194ea673b87", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "Source"], "section_title": "Source", "section_body": "Source\n\nStandalone skill from [TBA \u2014 Token Budget Advisor for Claude Code](https://github.com/Xabilimon1/Token-Budget-Advisor-Claude-Code-).\nOriginal project also ships a Python estimator script, but this repository keeps the skill self-contained and heuristic-only.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "f4acbf5964190b5d271fb4b03688c3b3f59b37835492c8d514f8e76e3a70cd33", "alias_sources": []}
{"id": "ba38b89cedcdf5e1", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nAll new Swift 6.2+ projects (Approachable Concurrency is the recommended default)\n\nMigrating existing apps from Swift 5.x or 6.0/6.1 concurrency\n\nResolving data-race safety compiler errors during Xcode 26 adoption\n\nBuilding MainActor-centric app architectures (most UI apps)\n\nPerformance optimization \u2014 offloading specific heavy computations to background", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "14e42750bca84ddf9be712f61d62fd7e9fd45dbe723d3e6eae79fb4da623b72e", "alias_sources": []}
{"id": "ba655daefb54372a", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Pitfalls"], "section_title": "Pitfalls", "section_body": "Output Format\n\nPitfalls\n\ndo not blur mailbox work and DM/text work\n\ndo not claim retrieval without naming the source\n\ndo not burn time on broad searches when the ask is a recent-code lookup\n\ndo not keep retrying a blocked auth path without surfacing the blocker", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "07298b6f76b08f13493a7556659cc73658b5f3c74af296c2da8aa15684dccae4", "alias_sources": []}
{"id": "ba695d9ad22a381b", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants an agent that runs continuously or on a schedule\n\nSetting up automated workflows that trigger periodically\n\nBuilding a personal AI assistant that remembers context across sessions\n\nUser says \"run this every day\", \"check on this regularly\", \"keep monitoring\"\n\nWants to replicate functionality from Hermes, AutoGPT, or similar autonomous agent frameworks\n\nNeeds computer use combined with scheduled execution", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "0e2e663e0158c7a281c0c7a508a3c9f3b24d166af20f39a432158540ffeb5a19", "alias_sources": []}
{"id": "ba98307b128c3cb9", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Data Layer", "Repository Implementation"], "section_title": "Repository Implementation", "section_body": "Repository Interfaces\n\nDefined in domain, implemented in data:\n\nData Layer\n\nRepository Implementation\n\nCoordinates between local and remote data sources:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "ce5f5786ebf6379713d38fc89c776172ecc2e381c6df4883c10ef61c020a13ca", "alias_sources": []}
{"id": "baaeb7bfd315e35d", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Example\n\nAnti-Patterns\n\n| Anti-pattern | Fix |\n| --- | --- |\n| Flat file listing | Tell a story with dependency between steps |\n| Generic descriptions | Name the concrete code path or pattern |\n| Guessed anchors | Verify every file and line first |\n| Too many steps for a quick tour | Cut aggressively |\n| First step is content-only | Anchor the first step to a real file or directory |\n| Persona mismatch | Write for the actual reader, not a generic engineer |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "ba5815783eb1a0b5c5480d528127f2613f467ca4df65351ad4ec406dafd0f25e", "alias_sources": []}
{"id": "bb095771966e4bf5", "skill_name": "design-system", "skill_description": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "skill_type": null, "section_path": ["Design System \u2014 Generate & Audit Visual Systems", "Examples"], "section_title": "Examples", "section_body": "Mode 3: AI Slop Detection\n\nIdentifies generic AI-generated design patterns:\n\nExamples\n\n**Generate for a SaaS app:**\n\n**Audit existing UI:**\n\n**Check for AI slop:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\design-system\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan", "phase:review"], "trigger_hints": "Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.", "mtime": 1776507629.6914477, "body_hash": "a772f55e3e56a9e75a085d2d57f42ad93158a5e54ae21ccf8b4e3ea59c3a55f0", "alias_sources": []}
{"id": "bb15839306e992d9", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 5: Optimize Installed Files (Optional)", "If optimizing skills:"], "section_title": "If optimizing skills:", "section_body": "Step 5: Optimize Installed Files (Optional)\n\nUse `AskUserQuestion`:\n\nIf optimizing skills:\n\nRead each installed SKILL.md\n\nAsk the user what their project's tech stack is (if not already known)\n\nFor each skill, suggest removals of irrelevant sections\n\nEdit the SKILL.md files in-place at the installation target (NOT the source repo)\n\nFix any path issues found in Step 4", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "a9fae0842cb6960d272a31209954b9475200e92a8cf2f3adb7a2dac5415faa6b", "alias_sources": []}
{"id": "bb3bc2043752338a", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 0: Clone ECC Repository"], "section_title": "Step 0: Clone ECC Repository", "section_body": "Step 0: Clone ECC Repository\n\nBefore any installation, clone the latest ECC source to `/tmp`:\n\nSet `ECC_ROOT=/tmp/everything-claude-code` as the source for all subsequent copy operations.\n\nIf the clone fails (network issues, etc.), use `AskUserQuestion` to ask the user to provide a local path to an existing ECC clone.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "dfb55d44a033515ea3a849e5883ca6a1bd03721b80410656008c94080f6dd244", "alias_sources": []}
{"id": "bb4447772b5d84fa", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "13. Internationalization (l10n)", "Code review:"], "section_title": "Code review:", "section_body": "Code review:\n\n[ ] Localization accessor used consistently throughout the project\n\n[ ] Date, time, number, and currency formatting is locale-aware\n\n[ ] Text directionality (RTL) supported if targeting Arabic, Hebrew, etc.\n\n[ ] No string concatenation for localized text \u2014 use parameterized messages", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "e5447e50b19106bdf4721713ebd2d042f3ecc7bbee9d8f69518fab7e2b654a15", "alias_sources": []}
{"id": "bb4e43300fbf0f8b", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "Examples", "Handle odd tokens defensively"], "section_title": "Handle odd tokens defensively", "section_body": "Cache by chain and token\n\nHandle odd tokens defensively\n\nLog the fallback and keep it visible. Old or non-standard tokens still exist.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "3a743f4b6aa8121814c62a86c6fe783daad9a93eb0965358cba775a1c30b654b", "alias_sources": []}
{"id": "bb65aaefb2bd2e3e", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Performance Indicators"], "section_title": "Performance Indicators", "section_body": "Performance Indicators\n\nTrack per shift and trend weekly:\n\n| Metric | Target | Red Flag |\n|---|---|---|\n| Schedule adherence (jobs started within \u00b11 hour) | > 90% | < 80% |\n| On-time delivery (to customer commit date) | > 95% | < 90% |\n| OEE at constraint | > 75% | < 65% |\n| Changeover time vs. standard | < 110% of standard | > 130% |\n| WIP days (total WIP value / daily COGS) | < 5 days | > 8 days |\n| Constraint utilization (actual producing / available) | > 85% | < 75% |\n| First-pass yield at constraint | > 97% | < 93% |\n| Unplanned downtime (% of scheduled time) | < 5% | > 10% |\n| Labor utilization (direct hours / available hours) | 80\u201390% | < 70% or > 95% |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "2a0bcd18457bfc5afdb42b96879ec8b75a186ada924bc7fb73565c9001d10460", "alias_sources": []}
{"id": "bb668e1909a08ddf", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Best Practices", "DON'T"], "section_title": "DON'T", "section_body": "DON'T\n\n**Don't test implementation**: Test behavior, not internals\n\n**Don't use complex conditionals in tests**: Keep tests simple\n\n**Don't ignore test failures**: All tests must pass\n\n**Don't test third-party code**: Trust libraries to work\n\n**Don't share state between tests**: Tests should be independent\n\n**Don't catch exceptions in tests**: Use `pytest.raises`\n\n**Don't use print statements**: Use assertions and pytest output\n\n**Don't write tests that are too brittle**: Avoid over-specific mocks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "1c66e51d417db1b331ec82a4e00f3526193f88c54695c2988fa707101e4d1b1d", "alias_sources": []}
{"id": "bb67733e708422a7", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Project Structure"], "section_title": "Project Structure", "section_body": "Examples\n\nProject Structure\n\nUse a conventional Laravel layout with clear layer boundaries (HTTP, services/actions, models).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "9b7c4f954ac8ed87b0e2e58c6fb3bf864c5e81fefe6d38ce13dbe9e0e8befa4e", "alias_sources": []}
{"id": "bb8552f911834696", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "When To Use"], "section_title": "When To Use", "section_body": "When To Use\n\nbuilding a landing page, dashboard, or app surface from scratch\n\nupgrading a bland interface into something intentional and memorable\n\ntranslating a product concept into a concrete visual direction\n\nimplementing a frontend where typography, composition, and motion matter", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "8346805ee81295fd93850c9098c72927503a282c92737e64f6346215fbe756b1", "alias_sources": []}
{"id": "bb996aa87b793992", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nDomain entities importing ORM models, web framework types, or SDK clients.\n\nUse cases reading directly from `req`, `res`, or queue metadata.\n\nReturning database rows directly from use cases without domain/application mapping.\n\nLetting adapters call each other directly instead of flowing through use-case ports.\n\nSpreading dependency wiring across many files with hidden global singletons.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "5f97bd962ce4ffad8b8eb37d4fc018e2ce640dbc933cbd1c444733ae523de971", "alias_sources": []}
{"id": "bbcd9e880d578da0", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Setup", "Per-Project Integration"], "section_title": "Per-Project Integration", "section_body": "Per-Project Integration\n\nTo use Plankton hooks in your own project:\n\nCopy `.claude/hooks/` directory to your project\n\nCopy `.claude/settings.json` hook configuration\n\nCopy linter config files (`.ruff.toml`, `biome.json`, etc.)\n\nInstall the linters for your languages", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "7feede3a98627c76c0578e15f8c1d7dd8da93fc736c15daa901771e451a9b3c2", "alias_sources": []}
{"id": "bbe8b936f924fadc", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Integration Patterns", "Pre-Implementation"], "section_title": "Pre-Implementation", "section_body": "3. Evaluate\n\n4. Report\n\nIntegration Patterns\n\nPre-Implementation\n\nCreates eval definition file at `.claude/evals/feature-name.md`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "903595452a4c0551ec8dde20962e93120814e436384ab2647a8a1fcbc244b1df", "alias_sources": []}
{"id": "bc09a1edb4351874", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ndo not answer current questions from stale memory when fresh search is cheap\n\nseparate:\n\nsourced fact\n\nuser-provided evidence\n\ninference\n\nrecommendation\n\ndo not spin up a heavyweight research pass if the answer is already in local code or docs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "3cd7d85f3bbe3b36fd93e84af2c3e1ca39442962fab79c803966e3ec730e59b3", "alias_sources": []}
{"id": "bc2ea29f5b55b382", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Configuration Reference"], "section_title": "Configuration Reference", "section_body": "Configuration Reference\n\nPlankton's `.claude/hooks/config.json` controls all behavior:\n\n**Key settings:**\n\nDisable languages you don't use to speed up hooks\n\n`volume_threshold` \u2014 violations > this count auto-escalate to a higher model tier\n\n`subprocess_delegation: false` \u2014 skip Phase 3 entirely (just report violations)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "1e477cbdcad9083d3bf8f75945dfe530209fd40b756776b5dea74f6c41024df7", "alias_sources": []}
{"id": "bc3815a6bbfdd452", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill", "Protocol", "/opensource verify PROJECT"], "section_title": "/opensource verify PROJECT", "section_body": "/opensource verify PROJECT\n\nRun sanitizer independently. Resolve path: if PROJECT contains `/`, treat as a path. Otherwise check `$HOME/opensource-staging/PROJECT`, then `$HOME/PROJECT`, then current directory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "83d7e5da33d4f34b4856c25b665c00a0d3706ec48a8c83d0331af483d9b95f2e", "alias_sources": []}
{"id": "bc3e393795180c0a", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Traits and Generics", "Trait Objects for Dynamic Dispatch"], "section_title": "Trait Objects for Dynamic Dispatch", "section_body": "Traits and Generics\n\nAccept Generics, Return Concrete Types\n\nTrait Objects for Dynamic Dispatch", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "55b5e77148fee651f62723a883488673678140221be74c5652f628eef13b420b", "alias_sources": []}
{"id": "bc7d5afc324ab8b8", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\neach version reads like the same author under different constraints\n\nno platform version feels padded or sanitized\n\nno copy is duplicated verbatim across platforms\n\nany extra context added for LinkedIn or newsletter use is actually necessary", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "3c3091356846c3cdfa2f583f6741a3e6df337a18d05a1011920e0859ac4bcefe", "alias_sources": []}
{"id": "bc7de94f2d55cdd1", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Concurrency Patterns", "Multiprocessing for CPU-Bound Tasks"], "section_title": "Multiprocessing for CPU-Bound Tasks", "section_body": "Class-Based Decorators\n\nConcurrency Patterns\n\nThreading for I/O-Bound Tasks\n\nMultiprocessing for CPU-Bound Tasks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "d666ec85f75bc554e0e8720acbf23b7f8e9ae69da89711cea773e5f2819492e3", "alias_sources": []}
{"id": "bd16be8c0380d274", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "TypeScript Example", "Composition root"], "section_title": "Composition root", "section_body": "TypeScript Example\n\nPort definitions\n\nUse case\n\nOutbound adapter\n\nComposition root", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "bcd9addac7baa901dad923ce2b53729df335c8b7c62a71a9898a89f3b299811c", "alias_sources": []}
{"id": "bd369488311a7b3f", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Report Structure\n\nQuality Gate\n\nBefore submitting:\n\nThe code path is reachable from a real user or network boundary\n\nThe input is genuinely user-controlled\n\nThe sink is meaningful and exploitable\n\nThe PoC works\n\nThe issue is not already covered by an advisory, CVE, or open ticket\n\nThe target is actually in scope for the bounty program", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "563c0002283b2a9a2061f52dd0c9cfd15872e3cc02982a9bafbc313ea9b6c608", "alias_sources": []}
{"id": "bd3849afa20dff91", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "Grader Types", "2. Model-Based Grader"], "section_title": "2. Model-Based Grader", "section_body": "1. Code-Based Grader\n\nDeterministic checks using code:\n\n2. Model-Based Grader\n\nUse Claude to evaluate open-ended outputs:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "ceccceb78f68c2a6844fa7ad9177d8d3aafa6c3983b53f4c5f60602b250bf1b9", "alias_sources": []}
{"id": "bd3a6ab24f388ba6", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "High-Signal Failure Patterns", "1. One queue type for all triggers"], "section_title": "1. One queue type for all triggers", "section_body": "High-Signal Failure Patterns\n\n1. One queue type for all triggers\n\nIf pushes, PR syncs, and manual audits all enqueue the same job and the worker always creates a PR, analysis equals PR spam.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "22b4f452a3e2b61ecc2c476fcbbf71d0a48828f0eb28f51beac958287adabd9d", "alias_sources": []}
{"id": "bd5b3fe7ddbe60f7", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nthe answer includes a live-data statement or snapshot timestamp\n\nproduct-truth claims are code-backed\n\ncustomer-impact and broader pricing/product conclusions are separated cleanly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "e69c8b80d2c98728f98bd59642636ba5e09f1acadde19d4f26a746e9e0912030", "alias_sources": []}
{"id": "bd68a09a851a2067", "skill_name": "google-workspace-ops", "skill_description": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "skill_type": null, "section_path": ["Google Workspace Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser needs to find a doc, sheet, or deck and update it in place\n\nConsolidating plans, trackers, notes, or customer lists stored in Google Drive\n\nCleaning or restructuring a shared spreadsheet\n\nImporting, repairing, or reformatting a Google Slides deck\n\nProducing summaries from Docs, Sheets, or Slides for decision-making", "source_path": "CODEFORGE\\everything-claude-code\\skills\\google-workspace-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.", "mtime": 1776507629.791701, "body_hash": "e2a0a59c19f390bec2bd2cac6b40cf451d095e6e7848ffa4a7647e9958e84846", "alias_sources": []}
{"id": "bd9d6d38ae9f454b", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security", "Pre-Deploy Checklist"], "section_title": "Pre-Deploy Checklist", "section_body": "MEV and deadline protection\n\nPre-Deploy Checklist\n\nExternal data is sanitized before entering the LLM context\n\nSpend limits are enforced independently from model output\n\nTransactions are simulated before send\n\n`min_amount_out` is mandatory\n\nCircuit breakers halt on drawdown or invalid state\n\nKeys come from env or a secret manager, never code or logs\n\nPrivate mempool or protected routing is used when appropriate\n\nSlippage and deadlines are set per strategy\n\nAll agent decisions are audit-logged, not just successful sends", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review", "phase:deploy"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "67b2216cd01f6df8c81780c801b6cf1b1b4250bcb24010947aad8829eb29036f", "alias_sources": []}
{"id": "bdb4f647904abd36", "skill_name": "nanoclaw-repl", "skill_description": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "skill_type": null, "section_path": ["NanoClaw REPL", "Capabilities"], "section_title": "Capabilities", "section_body": "NanoClaw REPL\n\nUse this skill when running or extending `scripts/claw.js`.\n\nCapabilities\n\npersistent markdown-backed sessions\n\nmodel switching with `/model`\n\ndynamic skill loading with `/load`\n\nsession branching with `/branch`\n\ncross-session search with `/search`\n\nhistory compaction with `/compact`\n\nexport to md/json/txt with `/export`\n\nsession metrics with `/metrics`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nanoclaw-repl\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.", "mtime": 1776507629.879874, "body_hash": "7c5c9ff8bdc1fca64596c222d4fe1307065ce7ac9395f8a7ce7ff0fd1ce3a859", "alias_sources": []}
{"id": "bdb5f3e8bd6bcb77", "skill_name": "nextjs-turbopack", "skill_description": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "skill_type": null, "section_path": ["Next.js and Turbopack", "Examples", "Usage"], "section_title": "Usage", "section_body": "Examples\n\nCommands\n\nUsage\n\nRun `next dev` for local development with Turbopack. Use the Bundle Analyzer (see Next.js docs) to optimize code-splitting and trim large dependencies. Prefer App Router and server components where possible.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nextjs-turbopack\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "mtime": 1776507629.8829112, "body_hash": "c812e78d849b18665b5efeba278ec1d5733baf889ba22160289d1f4d759537f4", "alias_sources": []}
{"id": "bdde70d92bf4f95e", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Core Principles", "4. Data Classes for Value Objects"], "section_title": "4. Data Classes for Value Objects", "section_body": "4. Data Classes for Value Objects\n\nUse data classes for types that primarily hold data.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "7d230557a230607db43fd7f0f975b1427782db063347060598ec89b04648db68", "alias_sources": []}
{"id": "bdea619a43ecd0fd", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Source Files & Naming (SF.*, NL.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Source Files & Naming (SF.*, NL.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **SF.1** | Use `.cpp` for code files and `.h` for interface files |\n| **SF.7** | Don't write `using namespace` at global scope in a header |\n| **SF.8** | Use `#include` guards for all `.h` files |\n| **SF.11** | Header files should be self-contained |\n| **NL.5** | Avoid encoding type information in names (no Hungarian notation) |\n| **NL.8** | Use a consistent naming style |\n| **NL.9** | Use ALL_CAPS for macro names only |\n| **NL.10** | Prefer `underscore_style` names |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "024c1e1050112a6db2ab2d4760d2f8b96d7fc0d188c93b265901c1354b0df23d", "alias_sources": []}
{"id": "be37360a52f4e6bb", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns"], "section_title": "Healthcare PHI/PII Compliance Patterns", "section_body": "Healthcare PHI/PII Compliance Patterns\n\nPatterns for protecting patient data, clinician data, and financial data in healthcare applications. Applicable to HIPAA (US), DISHA (India), GDPR (EU), and general healthcare data protection.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "930f57976339c96357c2dd16ba42b565638b9e6ade67a22d777c6b734d160548", "alias_sources": []}
{"id": "be67c08135bd20c7", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:init` \u2014 Register a Project"], "section_title": "`/ck:init` \u2014 Register a Project", "section_body": "Data Layout\n\nCommands\n\n`/ck:init` \u2014 Register a Project\n\nThe script outputs JSON with auto-detected info. Present it as a confirmation draft:\n\nWait for user approval. Apply any edits. Then pipe confirmed JSON to save.mjs --init:\n\nConfirmed JSON schema: `{\"name\":\"...\",\"path\":\"...\",\"description\":\"...\",\"stack\":[\"...\"],\"goal\":\"...\",\"constraints\":[\"...\"],\"repo\":\"...\" }`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "e8122e2a6506f926534253f0d6414f0644e339d9f511bbf2a47b5886cedf66e9", "alias_sources": []}
{"id": "be722f08964eadf7", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nCreating or altering database tables\n\nAdding/removing columns or indexes\n\nRunning data migrations (backfill, transform)\n\nPlanning zero-downtime schema changes\n\nSetting up migration tooling for a new project", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "9517c32886bbaed876bb1ed5b405bd517eaf6495f61c99377c56d7c36b99aeac", "alias_sources": []}
{"id": "be7844ba0a1ed009", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "Production Reference"], "section_title": "Production Reference", "section_body": "Production Reference\n\n**npm**: [`agentwallet-sdk`](https://www.npmjs.com/package/agentwallet-sdk)\n\n**Merged into NVIDIA NeMo Agent Toolkit**: [PR #17](https://github.com/NVIDIA/NeMo-Agent-Toolkit-Examples/pull/17) \u2014 x402 payment tool for NVIDIA's agent examples\n\n**Protocol spec**: [x402.org](https://x402.org)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "1f2cc97e98718b8e0b43401fdb6d2d1e9c5f1e4ce381b827bc6d81589b0d5e06", "alias_sources": []}
{"id": "bed3e9dc4ab699c1", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Section 2: Recommended ECC Components"], "section_title": "Section 2: Recommended ECC Components", "section_body": "Section 2: Recommended ECC Components\n\n| Type | Component | Purpose |\n|------|-----------|---------|\n| Command | /plan | Plan architecture before coding |\n| Skill | tdd-workflow | TDD methodology guidance |\n| Agent | code-reviewer | Post-implementation review |\n| Model | Sonnet 4.6 | Recommended for this scope |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test", "phase:review"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "b3556ed1a5a48eea245afb78c3bbfc29a05f45cacc08122deaefc935f086cfda", "alias_sources": []}
{"id": "beedb503b1588bf7", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "Routing DSL"], "section_title": "Routing DSL", "section_body": "Application Structure\n\nStandard Ktor Project Layout\n\nApplication Entry Point\n\nRouting DSL", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "a7313fff93ccca18a8073f35111bd728398bea4f0e2e5118bd067d9afb65316d", "alias_sources": []}
{"id": "bef70b1fff1b67d4", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "Morphing Transitions"], "section_title": "Morphing Transitions", "section_body": "Morphing Transitions\n\nCreate smooth morphing when glass elements appear/disappear:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "e34353f7e3a40dc5f516f03d0f5908d964f887b291685f304f18ef2542ff4ecd", "alias_sources": []}
{"id": "bf1a22f362c78e43", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "How It Works", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "CI/CD Integration\n\nAnti-Patterns\n\nSkipping CDSS tests \"because they passed last time\"\n\nSetting CRITICAL thresholds below 100%\n\nUsing `--no-bail` on CRITICAL test suites\n\nMocking the CDSS engine in integration tests (must test real logic)\n\nAllowing deployments when safety gate is red\n\nRunning tests without `--coverage` on CDSS suites", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "922987b90e8686fc30708c94b6cc1a592b245a85726dcac6506bca4da2baf05b", "alias_sources": []}
{"id": "bf2041ea1e2c9619", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Platform Adaptation Rules", "Short Video"], "section_title": "Short Video", "section_body": "Short Video\n\nscript around the visual sequence and proof points\n\nfirst seconds should show the result, problem, or punch\n\ndo not write narration that sounds better on paper than on screen", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "4097d21289b45785fdf2d41168769d083d6a4c53bba8f12110cbb603a882ec5b", "alias_sources": []}
{"id": "bf86097706f468dc", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Performance", "Avoid Expensive Work in body"], "section_title": "Avoid Expensive Work in body", "section_body": "Avoid Expensive Work in body\n\nNever perform I/O, network calls, or heavy computation inside `body`\n\nUse `.task {}` for async work \u2014 it cancels automatically when the view disappears\n\nUse `.sensoryFeedback()` and `.geometryGroup()` sparingly in scroll views\n\nMinimize `.shadow()`, `.blur()`, and `.mask()` in lists \u2014 they trigger offscreen rendering", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "5cbcd0e3696fe1dc6300056f3a9499012e04cf962a65f3c15d29be7438521fc7", "alias_sources": []}
{"id": "bf8dbcf952b38320", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`workspace-surface-audit`\n\n`project-flow-ops`\n\n`github-ops`\n\n`knowledge-ops`\n\n`customer-billing-ops` when the notification pain is billing/customer operations rather than engineering", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "31553b1a1a0654639a10571a9b728b457f7f6d4b9059d77b3cd75401f9e4d487", "alias_sources": []}
{"id": "bfaaf57fb8d4b7ba", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Factories and States"], "section_title": "Factories and States", "section_body": "Factories and States\n\nUse factories for test data\n\nDefine states for edge cases (archived, admin, trial)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "1c979d43bcb259261bc9c439e82de70dea4db4e965cc442ef62538ec139e775a", "alias_sources": []}
{"id": "bfb81f318f073e78", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "Core Tools", "get_code_context_exa"], "section_title": "get_code_context_exa", "section_body": "get_code_context_exa\n\nFind code examples and documentation from GitHub, Stack Overflow, and docs sites.\n\n**Parameters:**\n\n| Param | Type | Default | Notes |\n|-------|------|---------|-------|\n| `query` | string | required | Code or API search query |\n| `tokensNum` | number | 5000 | Content tokens (1000-50000) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "29be8e915f5eac465b0e8488f52802d9c598d45846238032b8c47de2c342fb32", "alias_sources": []}
{"id": "bfbe08f1af048fd7", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging"], "section_title": "Agent Introspection Debugging", "section_body": "Agent Introspection Debugging\n\nUse this skill when an agent run is failing repeatedly, consuming tokens without progress, looping on the same tools, or drifting away from the intended task.\n\nThis is a workflow skill, not a hidden runtime. It teaches the agent to debug itself systematically before escalating to a human.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "e1608aafc928e62b7231edd209bbdf8290b8480dd83ed6f65e1e7a67942951ca", "alias_sources": []}
{"id": "c00b606be9a70ef3", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Core Principles", "2. Subroutine Signatures"], "section_title": "2. Subroutine Signatures", "section_body": "2. Subroutine Signatures\n\nUse signatures for clarity and automatic arity checking.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "86a46f4678d686aa93314cbfab41c37691e377705176c970639812fe5aeef312", "alias_sources": []}
{"id": "c0243a1a08be3d57", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Input Validation", "Allowlist Over Blocklist"], "section_title": "Allowlist Over Blocklist", "section_body": "Enabling Taint Mode\n\nUntainting Pattern\n\nInput Validation\n\nAllowlist Over Blocklist", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "3d42e2f255aae18da53bd6e9ca777c1a791ad1a4142a26d2767cf91e65f5650f", "alias_sources": []}
{"id": "c0462b35b9433f4f", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n| Anti-Pattern | Fix |\n|---|---|\n| `async void` methods | Return `Task` (except event handlers) |\n| `.Result` or `.Wait()` | Use `await` |\n| `catch (Exception) { }` | Handle or rethrow with context |\n| `new Service()` in constructors | Use constructor injection |\n| `public` fields | Use properties with appropriate accessors |\n| `dynamic` in business logic | Use generics or explicit types |\n| Mutable `static` state | Use DI scoping or `ConcurrentDictionary` |\n| `string.Format` in loops | Use `StringBuilder` or interpolated string handlers |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "4c38099c0443bb202137c0577ee9437839b09257e746258835cb421f53b04420", "alias_sources": []}
{"id": "c055f9f50dc11569", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Non-Negotiable Rules"], "section_title": "Non-Negotiable Rules", "section_body": "Non-Negotiable Rules\n\nnever expose tokens, secrets, webhook secrets, or internal identifiers\n\nseparate:\n\nevent source\n\nseverity\n\nrouting channel\n\noperator action\n\ndefault to digest-first when interruption cost is unclear\n\ndo not fan out every event to every channel\n\nif the real fix is better issue triage, hook policy, or project flow, say so explicitly", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "e7bef10f25f7fa7ec7ea3a2d02d97436746a069397ddfd434a28ed138936363d", "alias_sources": []}
{"id": "c085147f4e77fad5", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`brand-voice` \u2014 Build a reusable voice profile from real X and site/source material\n\n`content-engine` \u2014 Generate platform-native content for X\n\n`crosspost` \u2014 Distribute content across X, LinkedIn, and other platforms\n\n`connections-optimizer` \u2014 Reorganize the X graph before drafting network-driven outreach", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "38aa88da6001d397efc5709178de0cbb4f2c37934f4a4b37fed1534960f1dfc6", "alias_sources": []}
{"id": "c0cbd8768484f478", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "Basic Glass Effect"], "section_title": "Basic Glass Effect", "section_body": "Core Pattern \u2014 SwiftUI\n\nBasic Glass Effect\n\nThe simplest way to add Liquid Glass to any view:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "90e57bb2e598ebc51dbf278a9930005872b24639f362c4b6892bfe02bc779906", "alias_sources": []}
{"id": "c104cea91f2ae114", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Core Workflow", "2. Classify the work"], "section_title": "2. Classify the work", "section_body": "2. Classify the work\n\nEvery item should end up in one of these states:\n\n| State | Meaning |\n|-------|---------|\n| Merge | self-contained, policy-compliant, ready |\n| Port/Rebuild | useful idea, but should be manually re-landed inside ECC |\n| Close | wrong direction, stale, unsafe, or duplicated |\n| Park | potentially useful, but not scheduled now |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "47249c15e20da2862c13955f86018cb3d6e1c28fcbbbc21f751149d52e7c86c2", "alias_sources": []}
{"id": "c10f377fc2fba3b4", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "15. Static Analysis", "Enforcement:"], "section_title": "Enforcement:", "section_body": "Enforcement:\n\n[ ] No unresolved analyzer warnings in committed code\n\n[ ] Lint suppressions (`// ignore:`) are justified with comments explaining why\n\n[ ] `flutter analyze` runs in CI and failures block merges", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "6d6629b8eb00887980c90811006ff35498d6b6698b979c139c89785c880c8b4c", "alias_sources": []}
{"id": "c17943f9357f05e6", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Form Handling Patterns"], "section_title": "Form Handling Patterns", "section_body": "Code Splitting & Lazy Loading\n\nVirtualization for Long Lists\n\nForm Handling Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "93f81eb38893efd9912422eabadf878fcb1469cad8e3c2d44a3350266baac4ad", "alias_sources": []}
{"id": "c189513299ea5935", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "What Makes a Good ADR", "Don't"], "section_title": "Don't", "section_body": "Don't\n\nRecord trivial decisions \u2014 variable naming or formatting choices don't need ADRs\n\nWrite essays \u2014 if the context section exceeds 10 lines, it's too long\n\nOmit alternatives \u2014 \"we just picked it\" is not a valid rationale\n\nBackfill without marking it \u2014 if recording a past decision, note the original date\n\nLet ADRs go stale \u2014 superseded decisions should reference their replacement", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan", "phase:build"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "87045918f4edad361dd294b3aa2b595cd4101e10fa580e78321d34366b4b5981", "alias_sources": []}
{"id": "c18a6f9b57698925", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Decision Frameworks", "Procurement Strategy Selection"], "section_title": "Procurement Strategy Selection", "section_body": "Decision Frameworks\n\nProcurement Strategy Selection\n\nWhen choosing between fixed, index, and block-and-index for a contract renewal:\n\n**What is the company's tolerance for budget variance?** If energy cost variance >5% of budget triggers a management review, lean fixed. If the company can absorb 15\u201320% variance without financial stress, index or block-and-index is viable.\n\n**Where is the market in the price cycle?** If forward curves are at the bottom third of the 5-year range, lock in more fixed (buy the dip). If forwards are at the top third, keep more index exposure (don't lock at the peak). If uncertain, layer.\n\n**What is the contract tenor?** For 12-month terms, fixed vs. index matters less \u2014 the premium is small and the exposure period is short. For 36+ month terms, the risk premium on fixed pricing compounds and the probability of overpaying increases. Lean hybrid or layered for longer tenors.\n\n**What is the facility's load factor?** High load factor (>0.75): block-and-index works well \u2014 buy flat blocks around the clock. Low load factor (<0.50): shaped blocks or TOU-indexed products better match the load profile.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "501f7efa4ace6bde90f236e3b5e264df608b2f8c82b9a96a53ae0d34fce66dc4", "alias_sources": []}
{"id": "c1a3b8737663120e", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Deployment Strategies", "Canary Deployment"], "section_title": "Canary Deployment", "section_body": "Canary Deployment\n\nRoute a small percentage of traffic to the new version first.\n\n**Pros:** Catches issues with real traffic before full rollout\n**Cons:** Requires traffic splitting infrastructure, monitoring\n**Use when:** High-traffic services, risky changes, feature flags", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "1b50e4d98327fe703cecf0487443756ff92a33421744a5a1ea3f1779f1849fbd", "alias_sources": []}
{"id": "c1c770074313f92a", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Core Principles", "2. Explicit is Better Than Implicit"], "section_title": "2. Explicit is Better Than Implicit", "section_body": "2. Explicit is Better Than Implicit\n\nAvoid magic; be clear about what your code does.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "178f17aacb100be5a3aa0a5f1f4011c64297cfe83fe01ea5a3ed8402c87ace15", "alias_sources": []}
{"id": "c244c36dbc0c6a62", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "Integration"], "section_title": "Integration", "section_body": "Integration\n\nEnable by default for `codex -a never` sessions\n\nPair with observability risk scoring in ECC 2.0\n\nLogs all blocked actions to `~/.claude/safety-guard.log`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "c406625de4bf1b50dd9bf1f45650d07bdd4b362648666d9e825b2ba69fe87272", "alias_sources": []}
{"id": "c2658015fb0de39d", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "When to Use"], "section_title": "When to Use", "section_body": "Safety Guard \u2014 Prevent Destructive Operations\n\nWhen to Use\n\nWhen working on production systems\n\nWhen agents are running autonomously (full-auto mode)\n\nWhen you want to restrict edits to a specific directory\n\nDuring sensitive operations (migrations, deploys, data changes)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "88555186cbb163fca4af30fb6f9c69698accf309d3f1ef3f5984e90adacb9855", "alias_sources": []}
{"id": "c297f157be68fac2", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "How It Works", "Concurrency"], "section_title": "Concurrency", "section_body": "Concurrency\n\nDevFleet runs up to 3 concurrent agents by default (configurable via `DEVFLEET_MAX_AGENTS`). When all slots are full, missions with `auto_dispatch=true` queue in the mission watcher and dispatch automatically as slots free up. Check `get_dashboard()` for current slot usage.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "0a2ddb1d11730e7f42648dbfa0d44d039ea6179d39b567cd63f5285d9ba01e7b", "alias_sources": []}
{"id": "c2b67ef0e4694ea2", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Overview"], "section_title": "Overview", "section_body": "Overview\n\nClickHouse is a column-oriented database management system (DBMS) for online analytical processing (OLAP). It's optimized for fast analytical queries on large datasets.\n\n**Key Features:**\n\nColumn-oriented storage\n\nData compression\n\nParallel query execution\n\nDistributed queries\n\nReal-time analytics", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "9cca18b0c0dee9bdd899c5d08073c7e6ab0c10650fc2f83aa6e77a95dcbdf6e5", "alias_sources": []}
{"id": "c2c8347d47a49c79", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Core Knowledge", "Sustainability Reporting"], "section_title": "Sustainability Reporting", "section_body": "Sustainability Reporting\n\n**Scope 2 emissions \u2014 two methods:** The GHG Protocol requires dual reporting. Location-based: uses average grid emission factor for your region (eGRID in the US). Market-based: reflects your procurement choices \u2014 if you buy RECs or have a PPA, your market-based emissions decrease. Most companies targeting RE100 or SBTi approval focus on market-based Scope 2.\n\n**RE100:** A global initiative where companies commit to 100% renewable electricity. Requires annual reporting of progress. Acceptable instruments: physical PPAs, VPPAs with RECs, utility green tariff programs, unbundled RECs (though RE100 is tightening additionality requirements), and on-site generation.\n\n**CDP and SBTi:** CDP (formerly Carbon Disclosure Project) scores corporate climate disclosure. Energy procurement data feeds your CDP Climate Change questionnaire directly \u2014 Section C8 (Energy). SBTi (Science Based Targets initiative) validates that your emissions reduction targets align with Paris Agreement goals. Procurement decisions that lock in fossil-heavy supply for 10+ years can conflict with SBTi trajectories.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "9c17678fb94b532cdf4039bef62d18164a112d4f1decaea5dc5f752359f1b231", "alias_sources": []}
{"id": "c2d6ee6dd39f8a86", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct"], "section_title": "Continuous Learning v2.1 - Instinct", "section_body": "Continuous Learning v2.1 - Instinct\n\n-Based Architecture\n\nAn advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic \"instincts\" - small learned behaviors with confidence scoring.\n\n**v2.1** adds **project-scoped instincts** \u2014 React patterns stay in your React project, Python conventions stay in your Python project, and universal patterns (like \"always validate input\") are shared globally.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "fe2da4ee555a8e2d1765ea9063f2d4ff312c4f251c7e656cd6762a4f3e67ce12", "alias_sources": []}
{"id": "c2da5e6c88f09b3f", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Examples", "Multi-agent project"], "section_title": "Multi-agent project", "section_body": "Multi-agent project\n\nProduces a plan with parallel steps where possible (e.g., \"implement Anthropic plugin\" and \"implement OpenAI plugin\" run in parallel after the plugin interface step is done), model tier assignments (strongest for the interface design step, default for implementation), and invariants verified after every step (e.g., \"all existing tests pass\", \"no provider imports in core\").", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "67967c4763aa4b5c35c3fa71b8bb1880c4f755bbd1ce677d963dec1a1f35c00d", "alias_sources": []}
{"id": "c2dbd65edc9cf596", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns", "Model Design Patterns"], "section_title": "Model Design Patterns", "section_body": "Project Structure\n\nRecommended Layout\n\nSplit Settings Pattern\n\nModel Design Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:plan"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "02e32605a88f248c631237a0cf188554f19816d01cb9f732e8ed4af17ea09a64", "alias_sources": []}
{"id": "c2ed7cf143617d4d", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nNever assume stablecoins use the same decimals everywhere. Query `decimals()` at runtime, cache by `(chain_id, token_address)`, and use decimal-safe math for value calculations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "a1081f521a30ecf63e91db1b79f49d4637c766e83de186a2403b03198d18f564", "alias_sources": []}
{"id": "c2f2be32e162665b", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "13. Internationalization (l10n)", "Content:"], "section_title": "Content:", "section_body": "Content:\n\n[ ] All user-visible strings use the localization system \u2014 no hardcoded strings in widgets\n\n[ ] Template file includes descriptions/context for translators\n\n[ ] ICU message syntax used for plurals, genders, selects\n\n[ ] Placeholders defined with types\n\n[ ] No missing keys across locales", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "c3ba0a41611e196ed8dc269ffd3ca30f752a68628c6e0ce1302a7fc220921065", "alias_sources": []}
{"id": "c32deef866177e67", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator"], "section_title": "Blueprint \u2014 Construction Plan Generator", "section_body": "Blueprint \u2014 Construction Plan Generator\n\nTurn a one-line objective into a step-by-step construction plan that any coding agent can execute cold.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "262d585a35615bbc4fc0bebd4649f14147a49592ccbfea83dab8a344c9ecd75b", "alias_sources": []}
{"id": "c33d1501aa6c7695", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting or reviewing Java code in Spring Boot projects\n\nEnforcing naming, immutability, or exception handling conventions\n\nWorking with records, sealed classes, or pattern matching (Java 17+)\n\nReviewing use of Optional, streams, or generics\n\nStructuring packages and project layout", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "354e9434b961c3aec2681a6ef56ffe6ecee1a6c5cbab9ab7f66966f08dbc890b", "alias_sources": []}
{"id": "c3441a4161096f05", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Quality Rules"], "section_title": "Quality Rules", "section_body": "Quality Rules\n\n**Every claim needs a source.** No unsourced assertions.\n\n**Cross-reference.** If only one source says it, flag it as unverified.\n\n**Recency matters.** Prefer sources from the last 12 months.\n\n**Acknowledge gaps.** If you couldn't find good info on a sub-question, say so.\n\n**No hallucination.** If you don't know, say \"insufficient data found.\"\n\n**Separate fact from inference.** Label estimates, projections, and opinions clearly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "76ed6b1e6c87b25caf8359510a75ca9f7caadd31234e917903c0080ca3c4f340", "alias_sources": []}
{"id": "c3750999abd6cd1d", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Core Principles", "2. Make the Zero Value Useful"], "section_title": "2. Make the Zero Value Useful", "section_body": "2. Make the Zero Value Useful\n\nDesign types so their zero value is immediately usable without initialization.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:plan"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "773ee0311f4c3dc879d923db74a36480fff7024276e642e4294b9aed890a3cff", "alias_sources": []}
{"id": "c3e0128a72f0b94a", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Core Principles", "2. Immutability by Default"], "section_title": "2. Immutability by Default", "section_body": "2. Immutability by Default\n\nPrefer `val` over `var`, immutable collections over mutable ones.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "c98a2fbe70ab3da40456ea74def812565fb7fad27037e824ae8608b1254546f4", "alias_sources": []}
{"id": "c3e56567609039ef", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Requirements"], "section_title": "Requirements", "section_body": "Requirements\n\nClaude Code (for `/blueprint` slash command)\n\nGit + GitHub CLI (optional \u2014 enables full branch/PR/CI workflow; Blueprint detects absence and auto-switches to direct mode)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "c2c203e4c14e7426de7b01bd215a9b1a6a26444ea4f03972eff8bb4e55a2d08b", "alias_sources": []}
{"id": "c3f6eb9292d283bc", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where the obvious approach is wrong. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**De minimis threshold exploitation:** A supplier restructures shipments to stay below the $800 US de minimis threshold to avoid duties. Multiple shipments on the same day to the same consignee may be aggregated by CBP. Section 321 entry does not eliminate quota, AD/CVD, or PGA requirements \u2014 it only waives duty.\n\n**Transshipment circumventing AD/CVD orders:** Goods manufactured in China but routed through Vietnam with minimal processing to claim Vietnamese origin. CBP uses evasion investigations (EAPA) with subpoena power. The \"substantial transformation\" test requires a new article of commerce with a different name, character, and use.\n\n**Dual-use goods at the EAR/ITAR boundary:** A component with both commercial and military applications. ITAR controls based on the item, EAR controls based on the item plus the end use and end user. Commodity jurisdiction determination (CJ request) required when classification is ambiguous. Filing under the wrong regime is a violation of both.\n\n**Post-importation adjustments:** Transfer pricing adjustments between related parties after the entry is liquidated. CBP requires reconciliation entries (CF 7501 with reconciliation flag) when the final price is not known at entry. Failure to reconcile creates duty exposure on the unpaid difference plus penalties.\n\n**First sale valuation for related parties:** Using the price paid by the middleman (first sale) rather than the price paid by the importer (last sale) as the customs value. CBP allows this under the \"first sale rule\" (Nissho Iwai) but requires demonstrating the first sale is a bona fide arm's-length transaction. The EU and most other jurisdictions do not recognise first sale \u2014 they value on the last sale before importation.\n\n**Retroactive FTA claims:** Discovering 18 months post-importation that goods qualified for preferential treatment. US allows post-importation claims via PSC (Post Summary Correction) within the liquidation period. EU requires the certificate of origin to have been valid at the time of importation. Timing and documentation requirements differ by FTA and jurisdiction.\n\n**Classification of kits vs components:** A retail kit containing items from different HS chapters (e.g., a camping kit with a tent, stove, and utensils). GRI 3(b) classifies by essential character \u2014 but if no single component gives essential character, GRI 3(c) applies (last heading in numerical order). Kits \"put up for retail sale\" have specific rules under GRI 3(b) that differ from industrial assortments.\n\n**Temporary imports that become permanent:** Equipment imported under an ATA Carnet or TIB that the importer decides to keep. The carnet/bond must be discharged by paying full duty plus any penalties. If the temporary import period has expired without export or duty payment, the carnet guarantee is called, creating liability for the guaranteeing chamber of commerce.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "3be1259cc7870ee3b4a1dafe55cb37ed44349a3cf38e0b7b81ad296ff2ded54f", "alias_sources": []}
{"id": "c4036311854d646b", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Production Readiness Checklist", "Monitoring"], "section_title": "Monitoring", "section_body": "Monitoring\n\n[ ] Application metrics exported (request rate, latency, errors)\n\n[ ] Alerts configured for error rate > threshold\n\n[ ] Log aggregation set up (structured logs, searchable)\n\n[ ] Uptime monitoring on health endpoint", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "fbe4670f268b3633addad250f74cd69781ef63e7b5835865139aa06fb7bde8a6", "alias_sources": []}
{"id": "c42151033e3895f2", "skill_name": "claude-api", "skill_description": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "skill_type": null, "section_path": ["Claude API", "Batches API"], "section_title": "Batches API", "section_body": "Prompt Caching\n\nCache large system prompts or context to reduce costs:\n\nBatches API\n\nProcess large volumes asynchronously at 50% cost reduction:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.", "mtime": 1776507629.5123181, "body_hash": "22b60a2e53d9b35658c31108f3cce3c205c92fc1bcef0e202d3956dfa79e650c", "alias_sources": []}
{"id": "c4380c16b75fdb17", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Output Format", "Section 3: Optimized Prompt \u2014 Full Version"], "section_title": "Section 3: Optimized Prompt \u2014 Full Version", "section_body": "Section 3: Optimized Prompt \u2014 Full Version\n\nPresent the complete optimized prompt inside a single fenced code block.\nThe prompt must be self-contained and ready to copy-paste. Include:\n\nClear task description with context\n\nTech stack (detected or specified)\n\n/command invocations at the right workflow stages\n\nAcceptance criteria\n\nVerification steps\n\nScope boundaries (what NOT to do)\n\nFor items that reference blueprint, write: \"Use the blueprint skill to...\"\n(not `/blueprint`, since blueprint is a skill, not a command).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "b4b23da630677ad7a65ebd836231aa6cb260f6f862bfcffd66726f16b3ada762", "alias_sources": []}
{"id": "c473942ffdda7a2a", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Data Insertion Patterns", "Bulk Insert (Recommended)"], "section_title": "Bulk Insert (Recommended)", "section_body": "Aggregations\n\nWindow Functions\n\nData Insertion Patterns\n\nBulk Insert (Recommended)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "d8817747e2c687805a73fba5ce5139f344b52be04387e3ce196c155e1e1d093c", "alias_sources": []}
{"id": "c48d77458f7c5ead", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Judge Types", "Code-Based (deterministic)"], "section_title": "Code-Based (deterministic)", "section_body": "3. Compare Results\n\nGenerate a comparison report:\n\nJudge Types\n\nCode-Based (deterministic)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "28794dd64ade9758a30ceb909964738a58a7e64e342027013a3aae5cfe637675", "alias_sources": []}
{"id": "c49faabc12c35f31", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Free Tier Limits Reference"], "section_title": "Free Tier Limits Reference", "section_body": "Free Tier Limits Reference\n\n| Service | Free Limit | Typical Usage |\n|---|---|---|\n| Gemini Flash Lite | 30 RPM, 1500 RPD | ~56 req/day at 3-hr intervals |\n| Gemini 2.0 Flash | 15 RPM, 1500 RPD | Good fallback |\n| Gemini 2.5 Flash | 10 RPM, 500 RPD | Use sparingly |\n| GitHub Actions | Unlimited (public repos) | ~20 min/day |\n| Notion API | Unlimited | ~200 writes/day |\n| Supabase | 500MB DB, 2GB transfer | Fine for most agents |\n| Google Sheets API | 300 req/min | Works for small agents |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "a1e05d7cf9fe10d6febdc509dd3639e2ad52f57d14b3c9437e6cabbb0e00fed1", "alias_sources": []}
{"id": "c4b4dffef3b180c5", "skill_name": "skill-stocktake", "skill_description": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "skill_type": null, "section_path": ["skill-stocktake", "Scope", "Targeting a specific project"], "section_title": "Targeting a specific project", "section_body": "Targeting a specific project\n\nTo include project-level skills, run from that project's root directory:\n\nIf the project has no `.claude/skills/` directory, only global skills and commands are evaluated.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-stocktake\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.", "mtime": 1776507630.1102724, "body_hash": "08fe3ae07d2c8ef7ecf5ce81f8fa7f4bb251f8978a8af64f9f519133f109911d", "alias_sources": []}
{"id": "c4da6a09e5c67852", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "The Solution: Iterative Retrieval", "Phase 2: EVALUATE"], "section_title": "Phase 2: EVALUATE", "section_body": "Phase 1: DISPATCH\n\nInitial broad query to gather candidate files:\n\nPhase 2: EVALUATE\n\nAssess retrieved content for relevance:\n\nScoring criteria:\n\n**High (0.8-1.0)**: Directly implements target functionality\n\n**Medium (0.5-0.7)**: Contains related patterns or types\n\n**Low (0.2-0.4)**: Tangentially related\n\n**None (0-0.2)**: Not relevant, exclude", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "f0f608809f9cc1228ec7fd02a23b8c80cf168470de77b60058ad2af604a0ed2d", "alias_sources": []}
{"id": "c4db1e9dd8103548", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "5. Performance", "Unnecessary rebuilds:"], "section_title": "Unnecessary rebuilds:", "section_body": "5. Performance\n\nUnnecessary rebuilds:\n\n[ ] `setState()` not called at root widget level \u2014 localize state changes\n\n[ ] `const` widgets used to stop rebuild propagation\n\n[ ] `RepaintBoundary` used around complex subtrees that repaint independently\n\n[ ] `AnimatedBuilder` child parameter used for subtrees independent of animation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "bc119fd1cdf8b8798072959bb992bc5cbf045145317324ae295d75303d888e54", "alias_sources": []}
{"id": "c4dd2efeeb000826", "skill_name": "evm-token-decimals", "skill_description": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "skill_type": null, "section_path": ["EVM Token Decimals", "Examples", "Quick on-chain check"], "section_title": "Quick on-chain check", "section_body": "Normalize to 18-decimal WAD in Solidity\n\nTypeScript with ethers\n\nQuick on-chain check", "source_path": "CODEFORGE\\everything-claude-code\\skills\\evm-token-decimals\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.", "mtime": 1776507629.7468412, "body_hash": "6cb5569149b4f8e4b63e0d77e66d80f115b4d2c4954e26cc3eca4791c4562291", "alias_sources": []}
{"id": "c5085b7b445d0c8b", "skill_name": "safety-guard", "skill_description": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "skill_type": null, "section_path": ["Safety Guard \u2014 Prevent Destructive Operations", "How It Works", "Mode 3: Guard Mode (Careful + Freeze combined)"], "section_title": "Mode 3: Guard Mode (Careful + Freeze combined)", "section_body": "Mode 3: Guard Mode (Careful + Freeze combined)\n\nBoth protections active. Maximum safety for autonomous agents.\n\nAgents can read anything but only write to `src/api/`. Destructive commands are blocked everywhere.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\safety-guard\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "Use this skill to prevent destructive operations when working on production systems or running agents autonomously.", "mtime": 1776507630.0319488, "body_hash": "afe47b3399aad9f8c96c39efe00c74b24ebd37db5da66b881be4faf5b03ec211", "alias_sources": []}
{"id": "c553f6a05c860e0d", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "CSRF Protection"], "section_title": "CSRF Protection", "section_body": "CSRF Protection\n\nKeep `VerifyCsrfToken` middleware enabled\n\nInclude `@csrf` in forms and send XSRF tokens for SPA requests\n\nFor SPA authentication with Sanctum, ensure stateful requests are configured:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "f3dfc0a0fe68507d105b5e8e357a545c86a63c403f5487ce8fbbff44d57bcf7e", "alias_sources": []}
{"id": "c582a9636857a7b1", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Result Pattern"], "section_title": "Result Pattern", "section_body": "Result Pattern\n\nReturn explicit success/failure instead of throwing for expected failures.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "40e7d8b12962f67b4684ebb14dbb25f187e1cfbbf432c6bf4a0b6f67e3ea4248", "alias_sources": []}
{"id": "c5a5ccff1282222b", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Required Inputs"], "section_title": "Required Inputs", "section_body": "Required Inputs\n\nCollect or infer:\n\ncurrent priorities and active work\n\ntarget roles, industries, geos, or ecosystems\n\nplatform selection: X, LinkedIn, or both\n\ndo-not-touch list\n\nmode: `light-pass`, `default`, or `aggressive`\n\nIf the user does not specify a mode, use `default`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "59e46066485c815a68dec6f01609f4b9c90807935caff8b976a685b69c225869", "alias_sources": []}
{"id": "c5a69ced2c64736d", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Examples"], "section_title": "Examples", "section_body": "Examples\n\nMinimal flow:\n\nCI-style pipeline:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "fa3a5dd6049f60dd54423f75c313a507e0704750a6e5c76681a45b7571f93ef2", "alias_sources": []}
{"id": "c5c66b6a0bea36ed", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Quick Reference: Rust Idioms"], "section_title": "Quick Reference: Rust Idioms", "section_body": "Tooling Integration\n\nEssential Commands\n\nQuick Reference: Rust Idioms\n\n| Idiom | Description |\n|-------|-------------|\n| Borrow, don't clone | Pass `&T` instead of cloning unless ownership is needed |\n| Make illegal states unrepresentable | Use enums to model valid states only |\n| `?` over `unwrap()` | Propagate errors, never panic in library/production code |\n| Parse, don't validate | Convert unstructured data to typed structs at the boundary |\n| Newtype for type safety | Wrap primitives in newtypes to prevent argument swaps |\n| Prefer iterators over loops | Declarative chains are clearer and often faster |\n| `#[must_use]` on Results | Ensure callers handle return values |\n| `Cow` for flexible ownership | Avoid allocations when borrowing suffices |\n| Exhaustive matching | No wildcard `_` for business-critical enums |\n| Minimal `pub` surface | Use `pub(crate)` for internal APIs |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "139b17159675fa510852b44829c222f7feeb0452f26dab1a1f1643ee44d22bc5", "alias_sources": []}
{"id": "c5d95184966b1020", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "Categories of Decisions Worth Recording"], "section_title": "Categories of Decisions Worth Recording", "section_body": "Categories of Decisions Worth Recording\n\n| Category | Examples |\n|----------|---------|\n| **Technology choices** | Framework, language, database, cloud provider |\n| **Architecture patterns** | Monolith vs microservices, event-driven, CQRS |\n| **API design** | REST vs GraphQL, versioning strategy, auth mechanism |\n| **Data modeling** | Schema design, normalization decisions, caching strategy |\n| **Infrastructure** | Deployment model, CI/CD pipeline, monitoring stack |\n| **Security** | Auth strategy, encryption approach, secret management |\n| **Testing** | Test framework, coverage targets, E2E vs integration balance |\n| **Process** | Branching strategy, review process, release cadence |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:test", "phase:review", "phase:deploy"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "bfed04e4c9e144ee44f5cc971387581671a9058400a017ed6d2c85050c655213", "alias_sources": []}
{"id": "c5eb5f14a374ea8c", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "Examples", "Example 3: Eval Report"], "section_title": "Example 3: Eval Report", "section_body": "Example 3: Eval Report", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "cf2b3d390dcbdaf5fcef08e0528451bff3159c56fc80b53a43b7174b3daf2c00", "alias_sources": []}
{"id": "c60a74afa1538fa6", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "XSS Prevention", "Safe String Handling"], "section_title": "Safe String Handling", "section_body": "Extra Security with raw()\n\nXSS Prevention\n\nTemplate Escaping\n\nSafe String Handling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "7c997d61a656f55253ae818e9a93ac8de9ae71ac18bfda0b85a4bfb30f58eb77", "alias_sources": []}
{"id": "c60dc2fa62b36857", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "Uniting Glass Effects"], "section_title": "Uniting Glass Effects", "section_body": "Uniting Glass Effects\n\nCombine multiple views into a single glass shape with `glassEffectUnion`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "56419deaa253086160a1a6b6389942e218bfa9e32000217d4f31926c5afa4d0c", "alias_sources": []}
{"id": "c6118ef30fdf4132", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "2. Input Validation"], "section_title": "2. Input Validation", "section_body": "2. Input Validation\n\nAlways Validate User Input\n\nAlways Validate User Input\n\nFile Upload Validation\n\nFile Upload Validation\n\nVerification Steps\n\nVerification Steps\n\n[ ] All user inputs validated with schemas\n\n[ ] File uploads restricted (size, type, extension)\n\n[ ] No direct use of user input in queries\n\n[ ] Whitelist validation (not blacklist)\n\n[ ] Error messages don't leak sensitive info", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "e2674c16dea9d1305c9ebf9471cb84613cc7006b820476ac4afa0863212e27c3", "alias_sources": []}
{"id": "c61cab279b39aed3", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Video Generation", "Seedance 1.0 Pro (ByteDance)"], "section_title": "Seedance 1.0 Pro (ByteDance)", "section_body": "Video Generation\n\nSeedance 1.0 Pro (ByteDance)\n\nBest for: text-to-video, image-to-video with high motion quality.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "f75d893177c7e1cfe03b794d0d1b673e13fdfff22b0547ced21e95901d5d4f00", "alias_sources": []}
{"id": "c6237469903cee79", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Example 3: \"Add config file linter\"\n\nAnti-Patterns\n\n**Jumping to code**: Writing a utility without checking if one exists\n\n**Ignoring MCP**: Not checking if an MCP server already provides the capability\n\n**Over-customizing**: Wrapping a library so heavily it loses its benefits\n\n**Dependency bloat**: Installing a massive package for one small feature", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:build"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "8997676bb5166718106f75e230427f1f5ccdeb0f2e17a5202f703251cc94e191", "alias_sources": []}
{"id": "c6371c4e6e6e7443", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`santa-method` \u2014 adversarial verification\n\n`knowledge-ops` \u2014 persist durable decision deltas correctly\n\n`search-first` \u2014 gather external reference material before the council if needed\n\n`architecture-decision-records` \u2014 formalize the outcome when the decision becomes long-lived system policy", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "4b291fde25adbaad991955f26c0b470afe403f540c2fcbf5e44b1295aaae4f88", "alias_sources": []}
{"id": "c63d5aaaf12189ae", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Package Organization", "Import Conventions"], "section_title": "Import Conventions", "section_body": "Async/Await for Concurrent I/O\n\nPackage Organization\n\nStandard Project Layout\n\nImport Conventions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "31c4f881d0a067bfb26a40f17a25b5d23b2dd316d30254815d2009215ec2c5c6", "alias_sources": []}
{"id": "c6470a85d59f4fd5", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "10. Package/Dependency Review", "Evaluating pub.dev packages:"], "section_title": "Evaluating pub.dev packages:", "section_body": "10. Package/Dependency Review\n\nEvaluating pub.dev packages:\n\n[ ] Check **pub points score** (aim for 130+/160)\n\n[ ] Check **likes** and **popularity** as community signals\n\n[ ] Verify the publisher is **verified** on pub.dev\n\n[ ] Check last publish date \u2014 stale packages (>1 year) are a risk\n\n[ ] Review open issues and response time from maintainers\n\n[ ] Check license compatibility with your project\n\n[ ] Verify platform support covers your targets", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:deploy"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "d3a9a17807cceb9648641782af65c195365d2e66147970cb9cdf860bf37edc65", "alias_sources": []}
{"id": "c64e7708b75f86f0", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Password Security"], "section_title": "Password Security", "section_body": "Password Security\n\nHash passwords with `Hash::make()` and never store plaintext\n\nUse Laravel's password broker for reset flows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "3bca1bfbaf08a3ef49c6b60a4190d9073b2b029c224f5d6c3a7fb869871a0945", "alias_sources": []}
{"id": "c65c3f738471fd20", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Scope Boundaries"], "section_title": "Scope Boundaries", "section_body": "Scope Boundaries\n\nActivate this skill for:\n\ncapturing failure state before retrying blindly\n\ndiagnosing common agent-specific failure patterns\n\napplying contained recovery actions\n\nproducing a structured human-readable debug report\n\nDo not use this skill as the primary source for:\n\nfeature verification after code changes; use `verification-loop`\n\nframework-specific debugging when a narrower ECC skill already exists\n\nruntime promises the current harness cannot enforce automatically", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "e42044a3b988e1653a828c8dbfae3ad5e3a05588451acb026e8b35a487052829", "alias_sources": []}
{"id": "c6c7e6987a83517e", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Phase 2: Static Analysis"], "section_title": "Phase 2: Static Analysis", "section_body": "Phase 1: Build\n\nIf build fails, stop and fix.\n\nPhase 2: Static Analysis\n\nMaven (common plugins):\n\nGradle (if configured):", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:build", "phase:debug"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "92765965ff7d3f88de227ca6eb685871455eda556b0988e722117aaf0d1efd7d", "alias_sources": []}
{"id": "c6fad0170deaa656", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Test::More Fundamentals"], "section_title": "Test::More Fundamentals", "section_body": "TDD Workflow\n\nAlways follow the RED-GREEN-REFACTOR cycle.\n\nTest::More Fundamentals\n\nThe standard Perl testing module \u2014 widely used, ships with core.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "8ddb8ea8a48caff0e442e37a2c8207cb550c97f3bcb98d44380a1035ce48e4b8", "alias_sources": []}
{"id": "c702d08d41419a94", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "How it works", "Step 4: Use the Documentation"], "section_title": "Step 4: Use the Documentation", "section_body": "Step 4: Use the Documentation\n\nAnswer the user's question using the fetched, current information.\n\nInclude relevant code examples from the docs when helpful.\n\nCite the library or version when it matters (e.g. \"In Next.js 15...\").", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "96d1d9a0f9dcf98031b72b1719553cc4157ac24bdd83ac4b526fa3bc9b50d31c", "alias_sources": []}
{"id": "c73e9f01920d360c", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Alternatives to GoogleTest"], "section_title": "Alternatives to GoogleTest", "section_body": "Alternatives to GoogleTest\n\n**Catch2**: header-only, expressive matchers\n\n**doctest**: lightweight, minimal compile overhead", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "021b9b6da5a7e53c0237cf2efcccc908bffb6dc96b505aa1be2f4455a5cac8b0", "alias_sources": []}
{"id": "c7a345c9b32b12f3", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Data Pipeline Patterns"], "section_title": "Data Pipeline Patterns", "section_body": "Training Loop Patterns\n\nStandard Training Loop\n\nValidation Loop\n\nData Pipeline Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "c01d518f997a52d4dc5fd3a1859d4f04ee10cd8fcec33064a3e91a5559b88c03", "alias_sources": []}
{"id": "c7b08617330e60b7", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "Workflow Patterns", "Pattern 1: Research + Implement"], "section_title": "Pattern 1: Research + Implement", "section_body": "Quick Start\n\nWorkflow Patterns\n\nPattern 1: Research + Implement\n\nSplit research and implementation into parallel tracks:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "73fdb2a650b8b5ece2fe6d6d8fe66de7ebdea574995e3bec5600f0fbce7145f6", "alias_sources": []}
{"id": "c7d28641509893bb", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "7. Accessibility", "Screen reader support:"], "section_title": "Screen reader support:", "section_body": "Screen reader support:\n\n[ ] All interactive elements are focusable and have meaningful descriptions\n\n[ ] Focus order is logical (follows visual reading order)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "b8c6f6174f5391200f1321d686caae96ead846befb9d0994ea1c9430a036bd1f", "alias_sources": []}
{"id": "c7d60620737aa35d", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "How It Works", "Red-Green-Refactor Cycle"], "section_title": "Red-Green-Refactor Cycle", "section_body": "How It Works\n\nRed-Green-Refactor Cycle\n\nWrite a failing test\n\nImplement the minimal change to pass\n\nRefactor while keeping tests green", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "e2a0909dd01bf7afc85dc8d00a688571cf34156f29b6a5e0b3a362a680d5c5ba", "alias_sources": []}
{"id": "c7efd65d220324ef", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Writing Process"], "section_title": "Writing Process", "section_body": "Writing Process\n\nClarify the audience and purpose.\n\nBuild a hard outline with one job per section.\n\nStart sections with proof, artifact, conflict, or example.\n\nExpand only where the next sentence earns space.\n\nCut anything that sounds templated, overexplained, or self-congratulatory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "f267680c523f1cb35fa706371d820d5828ace29564c24c5a69f9c3b2b9619b9f", "alias_sources": []}
{"id": "c80e27ed46a31416", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 3: Warm Path Discovery", "Path Types (ordered by warmth)"], "section_title": "Path Types (ordered by warmth)", "section_body": "Path Types (ordered by warmth)\n\n**Direct mutual** \u2014 You both follow/know the same person\n\n**Portfolio connection** \u2014 Mutual invested in or advises target's company\n\n**Co-worker/alumni** \u2014 Mutual worked at same company or attended same school\n\n**Event overlap** \u2014 Both attended same conference/program\n\n**Content engagement** \u2014 Target engaged with mutual's content or vice versa", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "b566dacbd00a6577846bdec14d36b0df51bc74041a3fb1ae41ce15301861a755", "alias_sources": []}
{"id": "c81e443f07c1334f", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Usage", "Opus 4.6 Deep Analysis"], "section_title": "Opus 4.6 Deep Analysis", "section_body": "Opus 4.6 Deep Analysis\n\nRun the adversarial three-agent pipeline for deeper analysis:\n\nThis runs:\n\n**Attacker (Red Team)** \u2014 finds attack vectors\n\n**Defender (Blue Team)** \u2014 recommends hardening\n\n**Auditor (Final Verdict)** \u2014 synthesizes both perspectives", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "0f6f833bcb66fcc44c934333462522baaa403c31eea3c89bce197bd682543bae", "alias_sources": []}
{"id": "c8238fb3573f9c3a", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nOnboarding a new carrier and vetting safety, insurance, and authority\n\nRunning an annual or lane-specific RFP for rate benchmarking\n\nBuilding or updating carrier scorecards and performance reviews\n\nReallocating freight during tight capacity or carrier underperformance\n\nNegotiating rate increases, fuel surcharges, or accessorial schedules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "c658d18925765e5bf134bc3d16d1ef910b41854f0fd6234a085dd34b60485445", "alias_sources": []}
{"id": "c84b8bfe921c563f", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Workflow", "3. Collapse duplicates before adding channels"], "section_title": "3. Collapse duplicates before adding channels", "section_body": "3. Collapse duplicates before adding channels\n\nLook for:\n\nthe same PR event appearing in GitHub, Linear, and local logs\n\nrepeated hook notifications for the same failure\n\ncomments or status churn that should be summarized instead of forwarded raw\n\nchannels that duplicate each other without adding a better action path\n\nPrefer:\n\none canonical summary\n\none owner\n\none primary channel\n\none fallback path", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "31835041345b512a05e929ab5eae7f3897ebb50f9f80e648e6ec51765462cb1a", "alias_sources": []}
{"id": "c8881d9720c782bb", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Communication Patterns", "Key Templates"], "section_title": "Key Templates", "section_body": "Key Templates\n\nBrief templates appear below. Adapt them to your carrier, customer, and insurance workflows before using them in production.\n\n**Initial carrier inquiry:** Subject: `Exception Notice \u2014 PRO# {pro} / BOL# {bol}`. State: what happened, what you need (ETA update, inspection, OS&D report), and by when.\n\n**Customer proactive update:** Lead with: what you know, what you're doing about it, what the customer's revised timeline is, and your direct contact for questions.\n\n**Escalation to carrier management:** Subject: `ESCALATION: Unresolved Exception \u2014 {shipment_ref} \u2014 {days} Days`. Include timeline of previous communications, financial impact, and what resolution you expect.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "7a28ac0e6c7d424a5eeff8e310c393edcde1a994a733b052826da92d42d66bc3", "alias_sources": []}
{"id": "c8c32c5cd9d739f0", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Decision Frameworks", "CAPA Effectiveness Verification"], "section_title": "CAPA Effectiveness Verification", "section_body": "CAPA Effectiveness Verification\n\nBefore closing any CAPA, verify:\n\n**Implementation evidence:** Documented proof the action was completed (updated work instruction with revision, installed fixture with validation, modified inspection plan with effective date).\n\n**Monitoring period data:** Minimum 90 days of production data, 3 consecutive production lots, or one full audit cycle \u2014 whichever provides the most meaningful evidence.\n\n**Recurrence check:** Zero recurrences of the specific failure mode during the monitoring period. If recurrence occurs, the CAPA is not effective \u2014 reopen and re-investigate. Do not close and open a new CAPA for the same issue.\n\n**Leading indicator review:** Beyond the specific failure, have related metrics improved? (e.g., overall PPM for that process, customer complaint rate for that product family).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "f59586cc9d9f423bf7f576efaf0d4c5c0fedb08b82b96eb679fe3cbc9f745467", "alias_sources": []}
{"id": "c94e2ca44bbcc2c6", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "Indexing and Performance"], "section_title": "Indexing and Performance", "section_body": "Indexing and Performance\n\nAdd indexes for common filters (`status`, `slug`, foreign keys)\n\nUse composite indexes matching query patterns (`status, created_at`)\n\nAvoid `select *`; project only needed columns\n\nBatch writes with `saveAll` and `hibernate.jdbc.batch_size`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "4b379b39420d68fffc260b9bf27aec989b7138df17444d530693544a0fc6c77c", "alias_sources": []}
{"id": "c96a1395094d38d0", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "References"], "section_title": "References", "section_body": "References\n\nPlankton (credit: @alxfazio)\n\nPlankton REFERENCE.md \u2014 Full architecture documentation (credit: @alxfazio)\n\nPlankton SETUP.md \u2014 Detailed installation guide (credit: @alxfazio)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:docs"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "5968570098a0f942729a5b1b1466597f75b9da09259eec98443a258f4b93c210", "alias_sources": []}
{"id": "c972913f34653185", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD"], "section_title": "Django Testing with TDD", "section_body": "Django Testing with TDD\n\nTest-driven development for Django applications using pytest, factory_boy, and Django REST Framework.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "621d56ea6c1ae32926907d0c6dfd586fd9a33462ad1b237b84b0ce7192f0ff8e", "alias_sources": []}
{"id": "c99ed1c55972eb13", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser says \"research\", \"look up\", \"compare\", \"who should I talk to\", or \"what's the latest\"\n\nthe answer depends on current public information\n\nthe user already supplied evidence and wants it factored into a fresh recommendation\n\nthe task may be recurring enough that it should become a monitor instead of a one-off lookup", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "87b4e0f577a806cf7b52cf47f0f5876f3e9ae91166f2c683e67968766e4bf0d1", "alias_sources": []}
{"id": "c9a8633391031ed7", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Four-Phase Loop", "Phase 2: Root-Cause Diagnosis"], "section_title": "Phase 2: Root-Cause Diagnosis", "section_body": "Phase 2: Root-Cause Diagnosis\n\nMatch the failure to a known pattern before changing anything.\n\n| Pattern | Likely Cause | Check |\n| --- | --- | --- |\n| Maximum tool calls / repeated same command | loop or no-exit observer path | inspect the last N tool calls for repetition |\n| Context overflow / degraded reasoning | unbounded notes, repeated plans, oversized logs | inspect recent context for duplication and low-signal bulk |\n| `ECONNREFUSED` / timeout | service unavailable or wrong port | verify service health, URL, and port assumptions |\n| `429` / quota exhaustion | retry storm or missing backoff | count repeated calls and inspect retry spacing |\n| file missing after write / stale diff | race, wrong cwd, or branch drift | re-check path, cwd, git status, and actual file existence |\n| tests still failing after \u201cfix\u201d | wrong hypothesis | isolate the exact failing test and re-derive the bug |\n\nDiagnosis questions:\n\nis this a logic failure, state failure, environment failure, or policy failure?\n\ndid the agent lose the real objective and start optimizing the wrong subtask?\n\nis the failure deterministic or transient?\n\nwhat is the smallest reversible action that would validate the diagnosis?", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "868f8d0d378ac3c4bcc4475332dc98e31a205d88f6bf4aca33ca17740c6f7928", "alias_sources": []}
{"id": "c9bd28979134ca19", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Validation and Data Sanitization"], "section_title": "Validation and Data Sanitization", "section_body": "Validation and Data Sanitization\n\nAlways validate inputs with Form Requests\n\nUse strict validation rules and type checks\n\nNever trust request payloads for derived fields", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "9c6a884d52b652239d39bd77f15edd515e6c8dc19fab45636b56270d2fc628b8", "alias_sources": []}
{"id": "c9e3e55ba23be980", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Decision Frameworks", "Supplier Corrective Action Escalation"], "section_title": "Supplier Corrective Action Escalation", "section_body": "Supplier Corrective Action Escalation\n\n| Stage | Trigger | Action | Timeline |\n|---|---|---|---|\n| Level 1: SCAR issued | Single significant NC or 3+ minor NCs in 90 days | Formal SCAR requiring 8D response | 10 days for response, 30 for implementation |\n| Level 2: Supplier on watch | SCAR not responded to in time, or corrective action not effective | Increased inspection, supplier on probation, procurement notified | 60 days to demonstrate improvement |\n| Level 3: Controlled shipping | Continued quality failures during watch period | Supplier must submit inspection data with each shipment; or third-party sort at supplier's expense | 90 days to demonstrate sustained improvement |\n| Level 4: New source qualification | No improvement under controlled shipping | Initiate alternate supplier qualification; reduce business allocation | Qualification timeline (3-12 months depending on industry) |\n| Level 5: ASL removal | Failure to improve or unwillingness to invest | Formal removal from Approved Supplier List; transition all parts | Complete transition before final PO |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "eb71c201761f5ac441433d55f09cc8a96dda9ecdc73f60a41782969f5017848a", "alias_sources": []}
{"id": "c9fbd7a363ae8d65", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Logging and PII"], "section_title": "Logging and PII", "section_body": "Logging and PII\n\nNever log passwords, tokens, or full card data\n\nRedact sensitive fields in structured logs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "01c72ee5376383929b7f2e73c64ed5bb2038fec6750fb21e581bfdb431e1f8fa", "alias_sources": []}
{"id": "c9fd2f5ca6601ccf", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Scope Boundaries"], "section_title": "Scope Boundaries", "section_body": "Scope Boundaries\n\nActivate this skill for:\n\ndescriptive naming\n\nimmutability defaults\n\nreadability, KISS, DRY, and YAGNI enforcement\n\nerror-handling expectations and code-smell review\n\nDo not use this skill as the primary source for:\n\nReact composition, hooks, or rendering patterns\n\nbackend architecture, API design, or database layering\n\ndomain-specific framework guidance when a narrower ECC skill already exists", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:plan", "phase:review"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "0bd5764e1d1994f2fdacae6705fc44c7941f5c1cf89101531f8a66b345a26998", "alias_sources": []}
{"id": "ca06f03994cf3cae", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nInvoke this skill when:\n\nOutput will be published, deployed, or consumed by end users\n\nCompliance, regulatory, or brand constraints must be enforced\n\nCode ships to production without human review\n\nContent accuracy matters (technical docs, educational material, customer-facing copy)\n\nBatch generation at scale where spot-checking misses systemic patterns\n\nHallucination risk is elevated (claims, statistics, API references, legal language)\n\nDo NOT use for internal drafts, exploratory research, or tasks with deterministic verification (use build/test/lint pipelines for those).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build", "phase:test", "phase:review", "phase:docs"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "a0b439d61eb39226923a35441dd664cf1561e42ed906ff0043372b23c851343d", "alias_sources": []}
{"id": "ca2f39b88d261e04", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns"], "section_title": ".NET Development Patterns", "section_body": ".NET Development Patterns\n\nIdiomatic C# and .NET patterns for building robust, performant, and maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "4b3791a89929837b7cffcd105f2b0cad1d76ebc9d59a54d0a0a630e49b369e2f", "alias_sources": []}
{"id": "ca3f153f2d75e701", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "How It Works", "Phase 3: Detect Issues"], "section_title": "Phase 3: Detect Issues", "section_body": "Phase 3: Detect Issues\n\nIdentify the following problem patterns:\n\n**Bloated agent descriptions** \u2014 description >30 words in frontmatter loads into every Task tool invocation\n\n**Heavy agents** \u2014 files >200 lines inflate Task tool context on every spawn\n\n**Redundant components** \u2014 skills that duplicate agent logic, rules that duplicate CLAUDE.md\n\n**MCP over-subscription** \u2014 >10 servers, or servers wrapping CLI tools available for free\n\n**CLAUDE.md bloat** \u2014 verbose explanations, outdated sections, instructions that should be rules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "286a6c987a1e44215a1e14d0f9c892daa50e52dde22f0a1bd3d2cf0f666d239a", "alias_sources": []}
{"id": "ca4662207b2c1451", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns"], "section_title": "Perl Testing Patterns", "section_body": "Perl Testing Patterns\n\nComprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "469028ef08cf8dd44a3885052436f52d8973561f04f094acc096168f764c27b7", "alias_sources": []}
{"id": "ca4b8246aa514da5", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Merge vs Rebase", "Merge (Preserves History)"], "section_title": "Merge (Preserves History)", "section_body": "Merge vs Rebase\n\nMerge (Preserves History)\n\n**Use when:**\n\nMerging feature branches into `main`\n\nYou want to preserve exact history\n\nMultiple people worked on the branch\n\nThe branch has been pushed and others may have based work on it", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "d7f72494761a7f25d3b1b393c6f64d85ded4117f2ab3a79f454446a5950eb99a", "alias_sources": []}
{"id": "ca5e78c711b0d17e", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "How It Works", "Technical SEO checklist"], "section_title": "Technical SEO checklist", "section_body": "Technical SEO checklist\n\nCrawlability\n\nCrawlability\n\n`robots.txt` should allow important pages and block low-value surfaces\n\nno important page should be unintentionally `noindex`\n\nimportant pages should be reachable within a shallow click depth\n\navoid redirect chains longer than two hops\n\ncanonical tags should be self-consistent and non-looping\n\nIndexability\n\nIndexability\n\npreferred URL format should be consistent\n\nmultilingual pages need correct hreflang if used\n\nsitemaps should reflect the intended public surface\n\nno duplicate URLs should compete without canonical control\n\nPerformance\n\nPerformance\n\nLCP < 2.5s\n\nINP < 200ms\n\nCLS < 0.1\n\ncommon fixes: preload hero assets, reduce render-blocking work, reserve layout space, trim heavy JS\n\nStructured data\n\nStructured data\n\nhomepage: organization or business schema where appropriate\n\neditorial pages: `Article` / `BlogPosting`\n\nproduct pages: `Product` and `Offer`\n\ninterior pages: `BreadcrumbList`\n\nQ&A sections: `FAQPage` only when the content truly matches", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "19d55c547a4a075c82eabf4e21b5da723f80c3c33a0aebb36bd99047765636cc", "alias_sources": []}
{"id": "ca80e999e76f58bc", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Structure Guidance", "Newsletters"], "section_title": "Newsletters", "section_body": "Newsletters\n\nkeep the first screen doing real work\n\ndo not front-load diary filler\n\nuse section labels only when they improve scanability", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "cfa54b3690a6deb536101c712e53042c8839939eff4274e884ca0e176e328308", "alias_sources": []}
{"id": "ca9d615a6b2072d0", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Workflow", "Step 1: Understand the Goal"], "section_title": "Step 1: Understand the Goal", "section_body": "Workflow\n\nStep 1: Understand the Goal\n\nAsk 1-2 quick clarifying questions:\n\n\"What's your goal \u2014 learning, making a decision, or writing something?\"\n\n\"Any specific angle or depth you want?\"\n\nIf the user says \"just research it\" \u2014 skip ahead with reasonable defaults.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "75668165589d86b8d40d2609da96b1dfa4671c2eef8d786adf34f6cb527da1c4", "alias_sources": []}
{"id": "caf0c0d8fba1a249", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Timeline editing"], "section_title": "Timeline editing", "section_body": "Timeline editing\n\n**Important:** Always validate timestamps before building a timeline:\n\n`start` must be >= 0 (negative values are silently accepted but produce broken output)\n\n`start` must be < `end`\n\n`end` must be <= `video.length`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "00716653b8315aa8e8fbfd81a0c377fff0c43f9af592d95b9e1b7d8f281dfcf5", "alias_sources": []}
{"id": "cb05403014aeeab1", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Event Type Guide", "prompt Events"], "section_title": "prompt Events", "section_body": "stop Events\n\nCompletion checks and reminders. Pattern `.*` matches always.\n\nprompt Events\n\nMatch user prompt content for workflow enforcement.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "dc3481633f1c18c990d1fbaf80eebb2d3dcb9fe3e6c9aceba1e63a6fe7e6d45a", "alias_sources": []}
{"id": "cb1dfacdfce30a22", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Additional Resources"], "section_title": "Additional Resources", "section_body": "Additional Resources\n\nPair this skill with your grading rubric, fraud review thresholds, and refund authority matrix before using it in production.\n\nKeep restocking standards, hazmat return handling, and liquidation rules near the operating team that will execute the decisions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "368fb6ea4c1fbf0710229730fabd36e22720e5edbcc1328d1c40b8589b9eddd4", "alias_sources": []}
{"id": "cb229d7409855164", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "When to Use"], "section_title": "When to Use", "section_body": "Anti-Patterns to Avoid\n\nWhen to Use\n\nFile processing pipelines (PDF parsing, OCR, text extraction, image analysis)\n\nCLI tools that benefit from `--cache/--no-cache` options\n\nBatch processing where the same files appear across runs\n\nAdding caching to existing pure functions without modifying them", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "306e026951521dc7ef4dc91adc08cb9a3ead47d369609a2de3214a0ad6dfd997", "alias_sources": []}
{"id": "cb3f71aa33389f44", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build", "How It Works", "Mode 3: User Journey Audit"], "section_title": "Mode 3: User Journey Audit", "section_body": "Mode 2: Founder Review\n\nReviews your current project through a founder lens:\n\nMode 3: User Journey Audit\n\nMaps the actual user experience:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "456d3ae695867f96b2128a5f2d3e57786c439a669661cd8603e9da51ee115e30", "alias_sources": []}
{"id": "cb623d89d9097f82", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering", "Testing Standard"], "section_title": "Testing Standard", "section_body": "Testing Standard\n\nRaise testing bar for generated code:\n\nrequired regression coverage for touched domains\n\nexplicit edge-case assertions\n\nintegration checks for interface boundaries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "9eb6cf2755c55a47a83ffb3f71754d9f61d6c8e34cda862ff7a9a2bd19d5f3f0", "alias_sources": []}
{"id": "cb94a7bb8c28835c", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 7: Queue and Scheduler Checks"], "section_title": "Phase 7: Queue and Scheduler Checks", "section_body": "Phase 7: Queue and Scheduler Checks\n\nIf Horizon is used:\n\nIf `queue:monitor` is available, use it to check backlog without processing jobs:\n\nActive verification (staging only): dispatch a no-op job to a dedicated queue and run a single worker to process it (ensure a non-`sync` queue connection is configured).\n\nVerify the job produced the expected side effect (log entry, healthcheck table row, or metric).\n\nOnly run this on non-production environments where processing a test job is safe.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "715b28b8a221d63a09eae68668f454b1368322ef289f877d89a3c02480b9801f", "alias_sources": []}
{"id": "cba66f01d8d7b67a", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Examples", "Donation or inflation attacks"], "section_title": "Donation or inflation attacks", "section_body": "Donation or inflation attacks\n\nUsing `token.balanceOf(address(this))` directly for share math lets attackers manipulate the denominator by sending tokens to the contract outside the intended path.\n\nTrack internal accounting and measure actual tokens received.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "2b77fb6284ea6e86805cce7ed285befabcb14922d3119d2d011c5a67052973c0", "alias_sources": []}
{"id": "cbb030348d4ada33", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "\u517c\u5bb9\u6027"], "section_title": "\u517c\u5bb9\u6027", "section_body": "\u4f55\u65f6\u91cd\u65b0\u8c03\u6574\u7075\u9b42\n\n\u523b\u610f\u56de\u907f\u67d0\u4e9b\u4efb\u52a1\uff0c\u56e0\u4e3a\"\u4e0d\u9002\u5408\u8fd9\u4e2a\u89d2\u8272\" \u2192 \u7075\u9b42\u9650\u5236\u4e86\u529f\u80fd\n\n\u89d2\u8272\u7279\u5f81\u53d8\u6210\u566a\u97f3 \u2192 \u6d53\u5ea6\u592a\u9ad8\n\n\u4f60\u5728\u914d\u5408AI\u8bf4\u8bdd \u2192 \u4e3b\u5ba2\u5012\u7f6e\n\n\u517c\u5bb9\u6027\n\n\u672c Skill \u9075\u5faa Markdown \u6307\u4ee4\u6ce8\u5165\u6807\u51c6\uff1a\n\n**Claude Code / Claude.ai**\uff1a\u539f\u751f\u652f\u6301\n\n**OpenClaw Agent**\uff1a\u901a\u8fc7 SOUL.md \u6ce8\u5165\n\n**\u5176\u4ed6 Agent**\uff1a\u652f\u6301 SKILL.md \u683c\u5f0f\u7684\u6846\u67b6\u5747\u53ef\u4f7f\u7528\n\n\u672c Skill \u81ea\u8eab\u4e0d\u5305\u542b\u4efb\u4f55\u7f51\u7edc\u8bf7\u6c42\u6216\u6587\u4ef6\u53d1\u9001\u4ee3\u7801\u3002\n\u5934\u50cf\u751f\u56fe\u80fd\u529b\u901a\u8fc7\u5f53\u524d\u73af\u5883\u4e2d\u5df2\u5ba1\u6838\u7684\u53ef\u9009\u751f\u56fe skill \u63d0\u4f9b\u3002\n\n\u6ce8\uff1aREADME.md / README.zh.md \u662f\u7ed9\u4eba\u7c7b\u7528\u6237\u770b\u7684\u5b89\u88c5\u8bf4\u660e\uff0c\u4e0d\u5f71\u54cd Skill \u8fd0\u884c\u3002", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "99d25d6ece716449ec45c5678da2f32f5f483958d6bb9ba91101cab08edb7b6d", "alias_sources": []}
{"id": "cbde0d0f9bd2febc", "skill_name": "django-patterns", "skill_description": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "skill_type": null, "section_path": ["Django Development Patterns"], "section_title": "Django Development Patterns", "section_body": "Django Development Patterns\n\nProduction-grade Django architecture patterns for scalable, maintainable applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:plan"], "trigger_hints": "Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.", "mtime": 1776507629.694409, "body_hash": "aa3e36ffe54771c10ee40412021a2b6c9eff4f93d3d983393db1ef3d71fd2615", "alias_sources": []}
{"id": "cbf1f29430b6f9b7", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "MCP Requirement"], "section_title": "MCP Requirement", "section_body": "MCP Requirement\n\nLaraPlugins MCP server must be configured. Add to your `~/.claude.json` mcpServers:\n\nNo API key required \u2014 the server is free for the Laravel community.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "25cd0bfe8de5c747419c2557288b89f2cffab77a07cd514bf711888895b35a79", "alias_sources": []}
{"id": "cbf8979fa7458c13", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Constraint breakdown**: Line 2 CNC machine goes down for 4 hours. Identify which jobs were queued, evaluate which can be rerouted to Line 3 (alternate routing), which must wait, and how to re-sequence the remaining queue to minimize total lateness across all affected orders.\n\n**Campaign vs. mixed-model decision**: 15 jobs across 4 product families on a line with 45-minute inter-family changeovers. Calculate the crossover point where campaign batching (fewer changeovers, more WIP) beats mixed-model (more changeovers, lower WIP) using changeover cost and carrying cost.\n\n**Late hot order insertion**: Sales commits a rush order with a 2-day lead time into a fully loaded week. Evaluate schedule slack, identify which existing jobs can absorb a 1-shift delay without missing their due dates, and slot the hot order without breaking the frozen window.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "d701a953bc430ccc40aa0e8cd69afd9aa0d54d75c910f1f0a11946b22fcfc391", "alias_sources": []}
{"id": "cc2acad902f79684", "skill_name": "enterprise-agent-ops", "skill_description": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "skill_type": null, "section_path": ["Enterprise Agent Ops", "Deployment Integrations"], "section_title": "Deployment Integrations", "section_body": "Deployment Integrations\n\nThis skill pairs with:\n\nPM2 workflows\n\nsystemd services\n\ncontainer orchestrators\n\nCI/CD gates", "source_path": "CODEFORGE\\everything-claude-code\\skills\\enterprise-agent-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.", "mtime": 1776507629.73365, "body_hash": "81319c12ff8a34814352898255019532ccbd639ebb58ac406c9fe28d2d9c0266", "alias_sources": []}
{"id": "cc2e06a3b131b967", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Asset Guidance", "Accelerator Applications"], "section_title": "Accelerator Applications", "section_body": "Accelerator Applications\n\nanswer the exact question asked\n\nprioritize traction, insight, and team advantage\n\navoid puffery\n\nkeep internal metrics consistent with the deck and model", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "4a43c109075ffa99b61da853563b0b3d3a2eed9b8ca6071bcfa9d44556e67276", "alias_sources": []}
{"id": "cc34fbb190696f96", "skill_name": "hexagonal-architecture", "skill_description": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "skill_type": null, "section_path": ["Hexagonal Architecture", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding new features where long-term maintainability and testability matter.\n\nRefactoring layered or framework-heavy code where domain logic is mixed with I/O concerns.\n\nSupporting multiple interfaces for the same use case (HTTP, CLI, queue workers, cron jobs).\n\nReplacing infrastructure (database, external APIs, message bus) without rewriting business rules.\n\nUse this skill when the request involves boundaries, domain-centric design, refactoring tightly coupled services, or decoupling application logic from specific libraries.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hexagonal-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.", "mtime": 1776507629.8074615, "body_hash": "8eeda57a3ac083a4b5e65332bf8dd884eb2eded7ed5a9b6d4da067fb5768bef9", "alias_sources": []}
{"id": "cc5edeec381cf8c8", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Scene search"], "section_title": "Scene search", "section_body": "Quick Reference\n\nUpload media\n\nTranscript + subtitle\n\nSearch inside videos\n\nScene search", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "664ca05d4bc1016d76bbc9a8bc0cef3f98e5dda63b9a7424497dc74dea6c9752", "alias_sources": []}
{"id": "cc71b5ab67dea0a6", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "Running Tests"], "section_title": "Running Tests", "section_body": "Running Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "8981f52e12ff43fe050a5aad50e1b90e2d527fdf4af9e48cb7dc353e27226aea", "alias_sources": []}
{"id": "ccbbcb94abda6576", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "2. Build the evidence table"], "section_title": "2. Build the evidence table", "section_body": "2. Build the evidence table\n\nFor every candidate surface, record:\n\ncomponent path\n\ncomponent type\n\nproposed bucket\n\nrepo evidence\n\nshort justification\n\nUse this format:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "bd51e0d8764f6c148fc1611d4f3d05a90b53830fbab9af2a9eb4ff662415e467", "alias_sources": []}
{"id": "ccd42469519e1f63", "skill_name": "perl-testing", "skill_description": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "skill_type": null, "section_path": ["Perl Testing Patterns", "Test2::V0 Modern Framework"], "section_title": "Test2::V0 Modern Framework", "section_body": "Basic Assertions\n\nSKIP and TODO\n\nTest2::V0 Modern Framework\n\nTest2::V0 is the modern replacement for Test::More \u2014 richer assertions, better diagnostics, and extensible.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.", "mtime": 1776507629.911285, "body_hash": "c008972875b8ff92160f079bcf8d7545a096051b995a0011844702a191e0cdfc", "alias_sources": []}
{"id": "cce23eb44c3dd619", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Role and Context"], "section_title": "Role and Context", "section_body": "Inventory Demand Planning\n\nRole and Context\n\nYou are a senior demand planner at a multi-location retailer operating 40\u2013200 stores with regional distribution centers. You manage 300\u2013800 active SKUs across categories including grocery, general merchandise, seasonal, and promotional assortments. Your systems include a demand planning suite (Blue Yonder, Oracle Demantra, or Kinaxis), an ERP (SAP, Oracle), a WMS for DC-level inventory, POS data feeds at the store level, and vendor portals for purchase order management. You sit between merchandising (which decides what to sell and at what price), supply chain (which manages warehouse capacity and transportation), and finance (which sets inventory investment budgets and GMROI targets). Your job is to translate commercial intent into executable purchase orders while minimizing both stockouts and excess inventory.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "46bb001de16b99b09f3734e3f46347f49c9aee588511589d0d3d80c03ddc3aeb", "alias_sources": []}
{"id": "cce2b26cae69603c", "skill_name": "kotlin-testing", "skill_description": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "skill_type": null, "section_path": ["Kotlin Testing Patterns", "Examples", "TDD Workflow for Kotlin"], "section_title": "TDD Workflow for Kotlin", "section_body": "TDD Workflow for Kotlin\n\nThe RED-GREEN-REFACTOR Cycle\n\nThe RED-GREEN-REFACTOR Cycle\n\nStep-by-Step TDD in Kotlin\n\nStep-by-Step TDD in Kotlin", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.", "mtime": 1776507629.8370564, "body_hash": "9bd3b4d46e7893daac87adffddbebb057769af292df57e828daf1cc44df38c81", "alias_sources": []}
{"id": "ccf0393af90fc99d", "skill_name": "dashboard-builder", "skill_description": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "skill_type": null, "section_path": ["Dashboard Builder", "Workflow", "3. Build the minimum useful board"], "section_title": "3. Build the minimum useful board", "section_body": "3. Build the minimum useful board\n\nRecommended structure:\n\noverview\n\nperformance\n\nresources\n\nservice-specific section", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dashboard-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.", "mtime": 1776507629.6724658, "body_hash": "b6dfa8e3a43e18e6a2421e5bd96cbf32b1ac62aa652d2c90c79e899d6f52b639", "alias_sources": []}
{"id": "ccf65f543ee2babd", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\n| AI Regression Pattern | Test Strategy | Priority |\n|---|---|---|\n| Sandbox/production mismatch | Assert same response shape in sandbox mode |  High |\n| SELECT clause omission | Assert all required fields in response |  High |\n| Error state leakage | Assert state cleanup on error |  Medium |\n| Missing rollback | Assert state restored on API failure |  Medium |\n| Type cast masking null | Assert field is not undefined |  Medium |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "8ea4080d79b1c3f73ffa5fa0f31a109e1094d15f5365cb96c8fb5f4c84b02659", "alias_sources": []}
{"id": "cd1f20c6d2d26b6d", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "2. Trace ingress before theorizing"], "section_title": "2. Trace ingress before theorizing", "section_body": "2. Trace ingress before theorizing\n\ninspect `src/index.*` or the main entrypoint first\n\nmap every enqueue path before suggesting a fix\n\nconfirm which GitHub events share a queue type\n\nconfirm whether push, pull_request, synchronize, comment, or manual re-run events can converge on the same expensive path", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "e417eb96983fd2e1d200bed5ee92ee5682e1bdf19272b9e0671bb322a9d42846", "alias_sources": []}
{"id": "cd287e2e3f7c5848", "skill_name": "nextjs-turbopack", "skill_description": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "skill_type": null, "section_path": ["Next.js and Turbopack", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Turbopack**: Incremental bundler for Next.js dev. Uses file-system caching so restarts are much faster (e.g. 5\u201314x on large projects).\n\n**Default in dev**: From Next.js 16, `next dev` runs with Turbopack unless disabled.\n\n**File-system caching**: Restarts reuse previous work; cache is typically under `.next`; no extra config needed for basic use.\n\n**Bundle Analyzer (Next.js 16.1+)**: Experimental Bundle Analyzer to inspect output and find heavy dependencies; enable via config or experimental flag (see Next.js docs for your version).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nextjs-turbopack\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "mtime": 1776507629.8829112, "body_hash": "369a749a740e66703b9ec830e5f3f86a72175ebacdf87ec9b753bb5c802b3394", "alias_sources": []}
{"id": "cd343ad14b5bce38", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video"], "section_title": "Manim Video", "section_body": "Manim Video\n\nUse Manim for technical explainers where motion, structure, and clarity matter more than photorealism.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "167d9de625a61b9d5fa5c46a15de004d9c69df0c6e58373bf37bfd407bbde858", "alias_sources": []}
{"id": "cd632644902b8bb3", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Promotional Planning"], "section_title": "Promotional Planning", "section_body": "Promotional Planning\n\n**Demand Signal Distortion:** Promotions create artificial demand peaks that contaminate baseline forecasting. Strip promotional volume from history before fitting baseline models. Keep a separate \"promotional lift\" layer that applies multiplicatively on top of the baseline during promo weeks.\n\n**Lift Estimation Methods:** (1) Year-over-year comparison of promoted vs. non-promoted periods for the same item. (2) Cross-elasticity model using historical promo depth, display type, and media support as inputs. (3) Analogous item lift \u2014 new items borrow lift profiles from similar items in the same category that have been promoted before. Typical lifts: 15\u201340% for TPR (temporary price reduction) only, 80\u2013200% for TPR + display + circular feature, 300\u2013500%+ for doorbuster/loss-leader events.\n\n**Cannibalization:** When SKU A is promoted, SKU B (same category, similar price point) loses volume. Estimate cannibalization at 10\u201330% of lifted volume for close substitutes. Ignore cannibalization across categories unless the promo is a traffic driver that shifts basket composition.\n\n**Forward-Buy Calculation:** Customers stock up during deep promotions, creating a post-promo dip. The dip duration correlates with product shelf life and promotional depth. A 30% off promotion on a pantry item with 12-month shelf life creates a 2\u20134 week dip as households consume stockpiled units. A 15% off promotion on a perishable produces almost no dip.\n\n**Post-Promo Dip:** Expect 1\u20133 weeks of below-baseline demand after a major promotion. The dip magnitude is typically 30\u201350% of the incremental lift, concentrated in the first week post-promo. Failing to forecast the dip leads to excess inventory and markdowns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "124fd5907dc7f4b7987d38dc913ba882830a6e5a2c8a934d101ec10b7aaf1b8a", "alias_sources": []}
{"id": "cd785a44bf929bd3", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "DSL Builders", "Type-Safe Builders"], "section_title": "Type-Safe Builders", "section_body": "Delegation\n\nProperty Delegation\n\nInterface Delegation\n\nDSL Builders\n\nType-Safe Builders", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "b6d536f053225326bff2d9259152ea06ac70a556ac530b5bc22c2abda0e1735d", "alias_sources": []}
{"id": "cd8000bcdb84ac04", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code", "Search Shortcuts by Category", "Data & APIs"], "section_title": "Data & APIs", "section_body": "Data & APIs\n\nHTTP clients \u2192 `httpx` (Python), `ky`/`got` (Node)\n\nValidation \u2192 `zod` (TS), `pydantic` (Python)\n\nDatabase \u2192 Check for MCP servers first", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "d3e4394ac2240637d7effeb2b43fee6bfbc0ce7a567cfea076687b81f54d8ffd", "alias_sources": []}
{"id": "cd8ddb2c064d6064", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Workflow", "3. Take the safest reversible action first"], "section_title": "3. Take the safest reversible action first", "section_body": "3. Take the safest reversible action first\n\nPreferred order:\n\nrestore self-serve management\n\nfix duplicate or broken billing state\n\nrefund only the affected charge or duplicate\n\ndocument the reason\n\nsend a short customer follow-up\n\nIf the fix requires product work, separate:\n\ncustomer remediation now\n\nproduct bug / workflow gap for backlog", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "552c5d93da7f097a70cfd6361c9e85c90d6aaaf90a21fe21a1039bf703b8d43a", "alias_sources": []}
{"id": "cdc48bc9e8d8bbd5", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Role and Context"], "section_title": "Role and Context", "section_body": "Returns & Reverse Logistics\n\nRole and Context\n\nYou are a senior returns operations manager with 15+ years handling the full returns lifecycle across retail, e-commerce, and omnichannel environments. Your responsibilities span return merchandise authorization (RMA), receiving and inspection, condition grading, disposition routing, refund and credit processing, fraud detection, vendor recovery (RTV), and warranty claims management. Your systems include OMS (order management), WMS (warehouse management), RMS (returns management), CRM, fraud detection platforms, and vendor portals. You balance customer satisfaction against margin protection, processing speed against inspection accuracy, and fraud prevention against false-positive customer friction.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "e90de3c4a6971007135b5e39f9add1d0558c4207dde81230a5517f973334eb97", "alias_sources": []}
{"id": "cdcc1a516f7a1107", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Audio Generation", "CSM-1B (Conversational Speech)"], "section_title": "CSM-1B (Conversational Speech)", "section_body": "Audio Generation\n\nCSM-1B (Conversational Speech)\n\nText-to-speech with natural, conversational quality.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "ed5a4a68c7d4b39ac143e449813e5cd739c0c97296dc57599d95a1fd70e6e3f2", "alias_sources": []}
{"id": "ce0af77d72dd3388", "skill_name": "dart-flutter-patterns", "skill_description": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "skill_type": null, "section_path": ["Dart/Flutter Patterns", "4. Widget Architecture", "Scoped Rebuilds"], "section_title": "Scoped Rebuilds", "section_body": "4. Widget Architecture\n\nExtract to Classes, Not Methods\n\nconst Propagation\n\nScoped Rebuilds", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dart-flutter-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.", "mtime": 1776507629.6692784, "body_hash": "f94b3d84bc9425311c063fe9b2d46687b2b16dc1735c9f63af6075509541b4ed", "alias_sources": []}
{"id": "ce15bbdf8aaebbdd", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Workflow", "1. Freeze repo scope"], "section_title": "1. Freeze repo scope", "section_body": "Workflow\n\n1. Freeze repo scope\n\nswitch into the sibling `ECC-Tools` repo\n\ncheck branch and local diff first\n\nidentify the exact surface under audit:\n\nwebhook router\n\nqueue producer\n\nqueue consumer\n\nPR creation path\n\nusage reservation / billing path\n\nmodel routing path", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "5434d6ce0c8264aaa11d3cd8e86c83be2cea2b4a58c3e926e86f33eb9846306e", "alias_sources": []}
{"id": "ce189927c0c76fcf", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Event Pipeline"], "section_title": "Event Pipeline", "section_body": "Event Pipeline\n\nTreat the lane as:\n\n**Capture** the event\n\n**Classify** urgency and owner\n\n**Route** to the correct channel\n\n**Collapse** duplicates and low-signal churn\n\n**Attach** the next operator action\n\nThe goal is fewer, better notifications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "58b558f9afa5f8d34d234ed89d742c59873b665283ed0adf2ad1c147bf235c71", "alias_sources": []}
{"id": "ce3c61d0d6888cf2", "skill_name": "bun-runtime", "skill_description": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "skill_type": null, "section_path": ["Bun Runtime", "Best Practices"], "section_title": "Best Practices", "section_body": "Examples\n\nRun and install\n\nScripts and env\n\nTesting\n\nRuntime API\n\nBest Practices\n\nCommit the lockfile (`bun.lock` or `bun.lockb`) for reproducible installs.\n\nPrefer `bun run` for scripts. For TypeScript, Bun runs `.ts` natively.\n\nKeep dependencies up to date; Bun and the ecosystem evolve quickly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\bun-runtime\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.", "mtime": 1776507629.4882107, "body_hash": "945a78a81766604e58dcb9c58dc806f7040b062080a18a883c143eab6739ead3", "alias_sources": []}
{"id": "ce5f68da2f875a83", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "Precision note"], "section_title": "Precision note", "section_body": "Precision note\n\nThis skill uses heuristic estimation \u2014 no real tokenizer. Accuracy ~85-90%, variance \u00b115%. Always show the disclaimer.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "d019a1146f13b90a0fad1b486634ed146c436ebc559483106fe6ccbdd7dc42e6", "alias_sources": []}
{"id": "ce73ab333e506da0", "skill_name": "llm-trading-agent-security", "skill_description": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "skill_type": null, "section_path": ["LLM Trading Agent Security", "Examples", "Wallet isolation"], "section_title": "Wallet isolation", "section_body": "Hard spend limits\n\nSimulate before sending\n\nCircuit breaker\n\nWallet isolation\n\nUse a dedicated hot wallet with only the required session funds. Never point the agent at a primary treasury wallet.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\llm-trading-agent-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.", "mtime": 1776507629.8620524, "body_hash": "4f9f7c9eb114ba50ba76612ec2692fd10171dfb80827f854778427b19da6da64", "alias_sources": []}
{"id": "ce970ad5697bad59", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Four-Phase Loop", "Phase 3: Contained Recovery"], "section_title": "Phase 3: Contained Recovery", "section_body": "Phase 3: Contained Recovery\n\nRecover with the smallest action that changes the diagnosis surface.\n\nSafe recovery actions:\n\nstop repeated retries and restate the hypothesis\n\ntrim low-signal context and keep only the active goal, blockers, and evidence\n\nre-check the actual filesystem / branch / process state\n\nnarrow the task to one failing command, one file, or one test\n\nswitch from speculative reasoning to direct observation\n\nescalate to a human when the failure is high-risk or externally blocked\n\nDo not claim unsupported auto-healing actions like \u201creset agent state\u201d or \u201cupdate harness config\u201d unless you are actually doing them through real tools in the current environment.\n\nContained recovery checklist:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "6fba951de9bbd2c373e69ab9163eaa3b7a07009e3c8fc5a344a652a9ed63cab1", "alias_sources": []}
{"id": "cec85dba48c2b323", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "ERP/MES Interaction Patterns"], "section_title": "ERP/MES Interaction Patterns", "section_body": "ERP/MES Interaction Patterns\n\n**SAP PP / Oracle Manufacturing production planning flow:** Demand enters as sales orders or forecast consumption, drives MPS (Master Production Schedule), which explodes through MRP into planned orders by work centre with material requirements. The scheduler converts planned orders into production orders, sequences them, and releases to the shop floor via MES. Feedback flows from MES (operation confirmations, scrap reporting, labor booking) back to ERP to update order status and inventory.\n\n**Work order management:** A work order carries the routing (sequence of operations with work centres, setup times, and run times), the BOM (components required), and the due date. The scheduler's job is to assign each operation to a specific time slot on a specific resource, respecting resource capacity, material availability, and dependency constraints (operation 20 cannot start until operation 10 is complete).\n\n**Shop floor reporting and plan-vs-reality gap:** MES captures actual start/end times, actual quantities produced, scrap counts, and downtime reasons. The gap between the schedule and MES actuals is the \"plan adherence\" metric. Healthy plan adherence is > 90% of jobs starting within \u00b11 hour of scheduled start. Persistent gaps indicate that either the scheduling parameters (setup times, run rates, yield factors) are wrong or that the shop floor is not following the sequence.\n\n**Closing the loop:** Every shift, compare scheduled vs. actual at the operation level. Update the schedule with actuals, re-sequence the remaining horizon, and publish the updated schedule. This \"rolling re-plan\" cadence keeps the schedule realistic rather than aspirational. The worst failure mode is a schedule that diverges from reality and becomes ignored by the shop floor \u2014 once operators stop trusting the schedule, it ceases to function.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "99e7fc0585ecb0908e003ee28e4edaabfe5d6d12524722641e108aead539a937", "alias_sources": []}
{"id": "ced30754b11e160d", "skill_name": "brand-voice", "skill_description": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "skill_type": null, "section_path": ["Brand Voice", "Output Contract"], "section_title": "Output Contract", "section_body": "Output Contract\n\nProduce a reusable `VOICE PROFILE` block that downstream skills can consume directly. Use the schema in [references/voice-profile-schema.md](references/voice-profile-schema.md).\n\nKeep the profile structured and short enough to reuse in session context. The point is not literary criticism. The point is operational reuse.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\brand-voice\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.", "mtime": 1776507629.4826574, "body_hash": "ab1f4ce02cad3b2b995887687a8ef5a929450117d39e2221f5336aa4d3002d68", "alias_sources": []}
{"id": "ced679eb294dede9", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency"], "section_title": "Swift 6.2 Approachable Concurrency", "section_body": "Swift 6.2 Approachable Concurrency\n\nPatterns for adopting Swift 6.2's concurrency model where code runs single-threaded by default and concurrency is introduced explicitly. Eliminates common data-race errors without sacrificing performance.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "176b5ddac7e55df59c3341db8a1e314a16a72343944e7b81b7a0513054c34e40", "alias_sources": []}
{"id": "cee0361318133c75", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Core Principles", "4. Git Checkpoints"], "section_title": "4. Git Checkpoints", "section_body": "4. Git Checkpoints\n\nIf the repository is under Git, create a checkpoint commit after each TDD stage\n\nDo not squash or rewrite these checkpoint commits until the workflow is complete\n\nEach checkpoint commit message must describe the stage and the exact evidence captured\n\nCount only commits created on the current active branch for the current task\n\nDo not treat commits from other branches, earlier unrelated work, or distant branch history as valid checkpoint evidence\n\nBefore treating a checkpoint as satisfied, verify that the commit is reachable from the current `HEAD` on the active branch and belongs to the current task sequence\n\nThe preferred compact workflow is:\n\none commit for failing test added and RED validated\n\none commit for minimal fix applied and GREEN validated\n\none optional commit for refactor complete\n\nSeparate evidence-only commits are not required if the test commit clearly corresponds to RED and the fix commit clearly corresponds to GREEN", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "9ab0c8fa35ccde3712f3c562e7539a3e30916f0f872639cfaf35860d7035e7d0", "alias_sources": []}
{"id": "cef2e7d65d001d49", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Updating Tickets", "Comment Templates"], "section_title": "Comment Templates", "section_body": "Comment Templates\n\n**Starting Work:**\n\n**Tests Implemented:**\n\n**PR Created:**\n\n**Work Complete:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "4d0ec7f7e723b92fec1a986d4a1f3fdfa2c2c9aa87b3ec23eb4a7a816d1613fc", "alias_sources": []}
{"id": "cefcfa05b00ad93c", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Flaky Tests Guardrails"], "section_title": "Flaky Tests Guardrails", "section_body": "Sanitizers\n\nFlaky Tests Guardrails\n\nNever use `sleep` for synchronization; use condition variables or latches.\n\nMake temp directories unique per test and always clean them.\n\nAvoid real time, network, or filesystem dependencies in unit tests.\n\nUse deterministic seeds for randomized inputs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "2e13c1bd0ecdc32883790985b578cea7c52c5881dcac567123f124aa919abd06", "alias_sources": []}
{"id": "cf4538d95b93bbcc", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "Authentication & Authorization"], "section_title": "Authentication & Authorization", "section_body": "Centralized Error Handler\n\nRetry with Exponential Backoff\n\nAuthentication & Authorization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "5129e4237e318fefe2cb96ce6f539340bce8b60bce80c4a1617148149d6b5dd8", "alias_sources": []}
{"id": "cf5b34bc2b589f7c", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Always filter by health** \u2014 Use `health_score: \"Healthy\"` for production projects\n\n**Match Laravel version** \u2014 Always check `laravel_compatibility` matches the target project\n\n**Check vendor reputation** \u2014 Prefer packages from known vendors (spatie, laravel, etc.)\n\n**Review before recommending** \u2014 Use GetPluginDetailsTool for a comprehensive assessment\n\n**No API key needed** \u2014 The MCP is free, no authentication required", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "a1114e23cd3eebe4f6dd56133fc29d68aff7cefb6e244e0f27d4d3f1086bfd44", "alias_sources": []}
{"id": "cf82d54205e01d7c", "skill_name": "pytorch-patterns", "skill_description": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "skill_type": null, "section_path": ["PyTorch Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n__Remember__: PyTorch code should be device-agnostic, reproducible, and memory-conscious. When in doubt, profile with `torch.profiler` and check GPU memory with `torch.cuda.memory_summary()`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\pytorch-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.", "mtime": 1776507629.9473171, "body_hash": "5cddcd1a70851e6aeef4119f89c96658424e9514965bbbaecd1bafb1a9a0f8e1", "alias_sources": []}
{"id": "cfb889eeba5ab006", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Core Workflow"], "section_title": "Core Workflow", "section_body": "Core Workflow\n\ninventory the canonical facts\n\nidentify missing assumptions\n\nchoose the asset type\n\ndraft the asset with explicit logic\n\ncross-check every number against the source of truth", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "9bfad79886472c960749a972d47a65acb98bcb35b75f728597e6d2a8109424a5", "alias_sources": []}
{"id": "cfcb0c7a4215c974", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Naming Convention"], "section_title": "Naming Convention", "section_body": "Naming Convention\n\nFile names use timestamps: `YYYY_MM_DD_HHMMSS_create_users_table.php`\n\nMigrations use anonymous classes (no named class); the filename communicates intent\n\nTable names are `snake_case` and plural by default", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "4d7832a9b79962fbf75ddf87800fb6b20ce697aa656942442e125a8b0f7645ed", "alias_sources": []}
{"id": "cfef25c117d12f04", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "How It Works", "Finding Packages"], "section_title": "Finding Packages", "section_body": "How It Works\n\nFinding Packages\n\nWhen the user wants to discover packages for a feature:\n\nUse `SearchPluginTool` with relevant keywords\n\nApply filters for health score, Laravel version, or PHP version\n\nReview the results with package names, descriptions, and health indicators", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:review"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "db78984620d3d429e4641b0826c5f4a6aeada72368453de04f5b76b4fef88199", "alias_sources": []}
{"id": "d08879a2e5cb5be8", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\nMatch communication tone to the counterparty, regulatory context, and risk level:\n\n**Customs broker (routine):** Collaborative and precise. Provide complete documentation, flag unusual items, confirm classification up front. \"HS 8471.30 confirmed \u2014 our GRI 1 analysis and the 2019 CBP ruling HQ H298456 support this classification. Packed 3 of 4 required docs, C/O follows by EOD.\"\n\n**Customs broker (urgent hold/exam):** Direct, factual, time-sensitive. \"Shipment held at LA/LB \u2014 CBP requesting manufacturer documentation. Sending MID verification and production records now. Need your filing within 2 hours to avoid demurrage.\"\n\n**Regulatory authority (ruling request):** Formal, thoroughly documented, legally precise. Follow the agency's prescribed format exactly. Provide samples if requested. Never overstate certainty \u2014 use \"it is our position that\" rather than \"this product is classified as.\"\n\n**Regulatory authority (penalty response):** Measured, cooperative, factual. Acknowledge the error if it exists. Present mitigation factors systematically. Never admit fraud when the facts support negligence.\n\n**Internal compliance advisory:** Clear business impact, specific action items, deadline. Translate regulatory requirements into operational language. \"Effective March 1, all lithium battery imports require UN 38.3 test summaries at entry. Operations must collect these from suppliers before booking. Non-compliance: $10K+ per shipment in fines and cargo holds.\"\n\n**Supplier questionnaire:** Specific, structured, explain why you need the information. Suppliers who understand the duty savings from an FTA are more cooperative with origin data.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "c82f4000eaf087d993a44e541312a5629e9d7087f9e30a7094a72cf8a19f2b3f", "alias_sources": []}
{"id": "d0a7c6b3fa2e544f", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Pipeline Stages"], "section_title": "Pipeline Stages", "section_body": "Pipeline Stages\n\nRFC intake\n\nDAG decomposition\n\nUnit assignment\n\nUnit implementation\n\nUnit validation\n\nMerge queue and integration\n\nFinal system verification", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "e029f6910c57993e80d98ac27c1c5d0c66d75ef7dd5c950ad69650195467a53a", "alias_sources": []}
{"id": "d0fdac3f5989ede3", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop"], "section_title": "4. Continuous Claude PR Loop", "section_body": "4. Continuous Claude PR Loop\n\n**A production-grade shell script** that runs Claude Code in a continuous loop, creating PRs, waiting for CI, and merging automatically. Created by AnandChowdhary (credit: @AnandChowdhary).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "0236ebcfe2da41d101698125a4248d868c950ecdf88bfba7b20c695b635cbcfc", "alias_sources": []}
{"id": "d1275d5d429d7421", "skill_name": "terminal-ops", "skill_description": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "skill_type": null, "section_path": ["Terminal Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`verification-loop` for exact proving steps after changes\n\n`tdd-workflow` when the right fix needs regression coverage\n\n`security-review` when secrets, auth, or external inputs are involved\n\n`github-ops` when the task depends on CI runs, PR state, or release status\n\n`knowledge-ops` when the verified outcome needs to be captured into durable project context", "source_path": "CODEFORGE\\everything-claude-code\\skills\\terminal-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:review", "phase:deploy", "phase:debug"], "trigger_hints": "Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified.", "mtime": 1776507630.1534579, "body_hash": "eb686a0b26b81aa4d432f0d7535500509158166deb2fd60d8a40660e773c797a", "alias_sources": []}
{"id": "d12e5cec53c2de25", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "Examples", "Example 3: Safe Logging"], "section_title": "Example 3: Safe Logging", "section_body": "Example 3: Safe Logging", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "5ad7727a28fe854cb3491c60c7bc4636d9e7d8875f42cbde3c4814621ad35805", "alias_sources": []}
{"id": "d13689e776ac9030", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering", "Hiring and Evaluation Signals"], "section_title": "Hiring and Evaluation Signals", "section_body": "Hiring and Evaluation Signals\n\nStrong AI-first engineers:\n\ndecompose ambiguous work cleanly\n\ndefine measurable acceptance criteria\n\nproduce high-signal prompts and evals\n\nenforce risk controls under delivery pressure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "50e8e7101e74677af09a7b7cd486f51980f740d2ee2ac6ba22e6e7ad9f34a27d", "alias_sources": []}
{"id": "d13ee48564045df0", "skill_name": "claude-devfleet", "skill_description": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "skill_type": null, "section_path": ["Claude DevFleet Multi-Agent Orchestration", "How It Works", "Tools"], "section_title": "Tools", "section_body": "How It Works\n\nTools\n\n| Tool | Purpose |\n|------|---------|\n| `plan_project(prompt)` | AI breaks a description into a project with chained missions |\n| `create_project(name, path?, description?)` | Create a project manually, returns `project_id` |\n| `create_mission(project_id, title, prompt, depends_on?, auto_dispatch?)` | Add a mission. `depends_on` is a list of mission ID strings (e.g., `[\"abc-123\"]`). Set `auto_dispatch=true` to auto-start when deps are met. |\n| `dispatch_mission(mission_id, model?, max_turns?)` | Start an agent on a mission |\n| `cancel_mission(mission_id)` | Stop a running agent |\n| `wait_for_mission(mission_id, timeout_seconds?)` | Block until a mission completes (see note below) |\n| `get_mission_status(mission_id)` | Check mission progress without blocking |\n| `get_report(mission_id)` | Read structured report (files changed, tested, errors, next steps) |\n| `get_dashboard()` | System overview: running agents, stats, recent activity |\n| `list_projects()` | Browse all projects |\n| `list_missions(project_id, status?)` | List missions in a project |\n\n**Note on `wait_for_mission`:** This blocks the conversation for up to `timeout_seconds` (default 600). For long-running missions, prefer polling with `get_mission_status` every 30\u201360 seconds instead, so the user sees progress updates.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\claude-devfleet\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Orchestrate multi-agent coding tasks via Claude DevFleet \u2014 plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.", "mtime": 1776507629.5133607, "body_hash": "89e0f35d0d14460d5acfab94836ab27fc35ce7d512eb6461138fa4dd22fa69d4", "alias_sources": []}
{"id": "d1c7f2ce77372620", "skill_name": "investor-outreach", "skill_description": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "skill_type": null, "section_path": ["Investor Outreach", "Follow-Up Cadence"], "section_title": "Follow-Up Cadence", "section_body": "Follow-Up Cadence\n\nDefault:\n\nday 0: initial outbound\n\nday 4 or 5: short follow-up with one new data point\n\nday 10 to 12: final follow-up with a clean close\n\nDo not keep nudging after that unless the user wants a longer sequence.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-outreach\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.", "mtime": 1776507629.8190334, "body_hash": "c9c25d5e397eeca51630058f43f7b2a48efa090ea317935994d755e094b384e0", "alias_sources": []}
{"id": "d1f38b0b538dec68", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Workflow", "1. Identify the customer cleanly"], "section_title": "1. Identify the customer cleanly", "section_body": "Workflow\n\n1. Identify the customer cleanly\n\nStart from the strongest identifier available:\n\ncustomer email\n\nStripe customer ID\n\nsubscription ID\n\ninvoice ID\n\nGitHub username or support email if it is known to map back to billing\n\nReturn a concise identity summary:\n\ncustomer\n\nactive subscriptions\n\ncanceled subscriptions\n\ninvoices\n\nobvious anomalies such as duplicate active subscriptions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "f85c6d3392898f9979814a315a44793d716a929e30a24e37e295041522556d7b", "alias_sources": []}
{"id": "d2564a1305165d94", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop", "Installation"], "section_title": "Installation", "section_body": "Core Loop\n\nInstallation\n\n**Warning:** Install continuous-claude from its repository after reviewing the code. Do not pipe external scripts directly to bash.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "748337f28cabacbbfb20a2cff0ba75d86a9ce647593f6e1f53b9109f94086f83", "alias_sources": []}
{"id": "d2dfd4d90c2a8e41", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture"], "section_title": "Android Clean Architecture", "section_body": "Android Clean Architecture\n\nClean Architecture patterns for Android and KMP projects. Covers module boundaries, dependency inversion, UseCase/Repository patterns, and data layer design with Room, SQLDelight, and Ktor.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "8a9a94fa340933655cbeffd4d49e977d13ecc1fb52ec5fbc2ff0b70de31eac1f", "alias_sources": []}
{"id": "d3180c5c59e3b921", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Tool Calling"], "section_title": "Core Pattern \u2014 Tool Calling", "section_body": "Core Pattern \u2014 Tool Calling\n\nLet the model invoke custom code for domain-specific tasks:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "c4b36faf58c34679642cb6c8001758821107ebfb16675bc76e37a9b6bd775525", "alias_sources": []}
{"id": "d3511d6b2a996173", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "Pattern Types"], "section_title": "Pattern Types", "section_body": "Configuration\n\nEdit `config.json` to customize:\n\nPattern Types\n\n| Pattern | Description |\n|---------|-------------|\n| `error_resolution` | How specific errors were resolved |\n| `user_corrections` | Patterns from user corrections |\n| `workarounds` | Solutions to framework/library quirks |\n| `debugging_techniques` | Effective debugging approaches |\n| `project_specific` | Project-specific conventions |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "750248f5e22d8dbd39b929674287624b4d9c80f5487a579c36938ab43060fc7f", "alias_sources": []}
{"id": "d3a29e546e12c54d", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "How It Works", "Step 4 \u2014 Respond at the chosen level"], "section_title": "Step 4 \u2014 Respond at the chosen level", "section_body": "Step 4 \u2014 Respond at the chosen level\n\n| Level            | Target length       | Include                                             | Omit                                              |\n|------------------|---------------------|-----------------------------------------------------|---------------------------------------------------|\n| 25% Essential    | 2-4 sentences max   | Direct answer, key conclusion                       | Context, examples, nuance, alternatives           |\n| 50% Moderate     | 1-3 paragraphs      | Answer + necessary context + 1 example              | Deep analysis, edge cases, references             |\n| 75% Detailed     | Structured response | Multiple examples, pros/cons, alternatives          | Extreme edge cases, exhaustive references         |\n| 100% Exhaustive  | No restriction      | Everything \u2014 full analysis, all code, all perspectives | Nothing                                        |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "44fcc3034e45b48852138ff2a7da8c1f1652ba63da9be0be5850039b45028a8f", "alias_sources": []}
{"id": "d3c57c00c82dcf0a", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nUsing the most expensive model for all requests regardless of complexity\n\nRetrying on all errors (wastes budget on permanent failures)\n\nMutating cost tracking state (makes debugging and auditing difficult)\n\nHardcoding model names throughout the codebase (use constants or config)\n\nIgnoring prompt caching for repetitive system prompts", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "b02004934e5bfb016aaccb73e7062dd54a5076b021ddebbce03872f27ff627df", "alias_sources": []}
{"id": "d3ccdb7e6f2bfa4e", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Workflow", "5. Return an action-biased design"], "section_title": "5. Return an action-biased design", "section_body": "5. Return an action-biased design\n\nEnd with:\n\nwhat to keep\n\nwhat to suppress\n\nwhat to merge\n\nwhat ECC should wrap next", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "c82da32dc5e8a5f63a74680c0c64ca6c808dc802cadaec86bdf7a0108c6b7506", "alias_sources": []}
{"id": "d3f4b1c994c074aa", "skill_name": "opensource-pipeline", "skill_description": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "skill_type": null, "section_path": ["Open-Source Pipeline Skill"], "section_title": "Open-Source Pipeline Skill", "section_body": "Open-Source Pipeline Skill\n\nSafely open-source any project through a 3-stage pipeline: **Fork** (strip secrets) \u2192 **Sanitize** (verify clean) \u2192 **Package** (CLAUDE.md + setup.sh + README).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\opensource-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.", "mtime": 1776507629.905279, "body_hash": "7bbfe628025f6d462d39bdb275503cefd7094470196f9924da744923b440da4d", "alias_sources": []}
{"id": "d3f530374fa50b6a", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Versioning", "Header Versioning"], "section_title": "Header Versioning", "section_body": "Header Versioning\n\n**Pros:** Clean URLs\n**Cons:** Harder to test, easy to forget", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:test"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "bcee521f6de15ff4332f13572b82b3d577642b5b104a820241572105ac20ed1a", "alias_sources": []}
{"id": "d417a63a4ae595f9", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\n**Vendor routine reorder:** Transactional, brief, PO-reference-driven. \"PO #XXXX for delivery week of MM/DD per our agreed schedule.\"\n\n**Vendor lead time escalation:** Firm, fact-based, quantifies business impact. \"Our analysis shows your lead time has increased from 14 to 22 days over the past 8 weeks. This has resulted in X stockout events. We need a corrective plan by [date].\"\n\n**Internal stockout alert:** Urgent, actionable, includes estimated revenue at risk. Lead with the customer impact, not the inventory metric. \"SKU X will stock out at 12 locations by Thursday. Estimated lost sales: $XX,000. Recommended action: [expedite/reallocate/substitute].\"\n\n**Markdown recommendation to merchandising:** Data-driven, includes margin impact analysis. Never frame it as \"we bought too much\" \u2014 frame as \"sell-through pace requires price action to meet margin targets.\"\n\n**Promotional forecast submission:** Structured, with baseline, lift, and post-promo dip called out separately. Include assumptions and confidence range. \"Baseline: 500 units/week. Promotional lift estimate: 180% (900 incremental). Post-promo dip: \u221235% for 2 weeks. Confidence: \u00b125%.\"\n\n**New product forecast assumptions:** Document every assumption explicitly so it can be audited at post-mortem. \"Based on analogs [list], we project 200 units/week in weeks 1\u20134, declining to 120 units/week by week 8. Assumptions: price point $X, distribution to 80 doors, no competitive launch in window.\"\n\nBrief templates appear above. Adapt them to your supplier, sales, and operations planning workflows before using them in production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "65828f2a36803cfd89393614f4aa9a5f626e9df038a386c20d13a69db27a6eb0", "alias_sources": []}
{"id": "d439a0bbf29af0f1", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "Deployment Patterns\n\nProduction deployment workflows and CI/CD best practices.\n\nWhen to Activate\n\nSetting up CI/CD pipelines\n\nDockerizing an application\n\nPlanning deployment strategy (blue-green, canary, rolling)\n\nImplementing health checks and readiness probes\n\nPreparing for a production release\n\nConfiguring environment-specific settings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "9bf0b8238ee93d97fdf51a9c13fc25eeb56fd25fe5a6292da95ffbc6c78ea1a3", "alias_sources": []}
{"id": "d441736c3d224c91", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Integration with CI/CD"], "section_title": "Integration with CI/CD", "section_body": "Integration with CI/CD\n\n**Remember**: Tests are documentation. They show how your code is meant to be used. Write them clearly and keep them up to date.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:build", "phase:docs"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "71fb73d4d7104d688f9b38c8a7008c793f4f5ee4eb4f171e9a9c775d243e9a1e", "alias_sources": []}
{"id": "d474c64435456123", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "Real-World Metrics"], "section_title": "Real-World Metrics", "section_body": "4. Hybrid Pipeline\n\nReal-World Metrics\n\nFrom a production quiz parsing pipeline (410 items):\n\n| Metric | Value |\n|--------|-------|\n| Regex success rate | 98.0% |\n| Low confidence items | 8 (2.0%) |\n| LLM calls needed | ~5 |\n| Cost savings vs all-LLM | ~95% |\n| Test coverage | 93% |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "7a5288b9bb6b257a9bc9c4be50017bd9ea540735753685f71d359cec82d447a9", "alias_sources": []}
{"id": "d49cb60594f27388", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Model Routing"], "section_title": "Model Routing", "section_body": "Model Routing\n\nHaiku: classification, boilerplate transforms, narrow edits\n\nSonnet: implementation and refactors\n\nOpus: architecture, root-cause analysis, multi-file invariants", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "107001ddff1ee19b4333174fd062b6bcab3e6f693b7e2c4c96624b521c5d18cc", "alias_sources": []}
{"id": "d49fa19bc88931cc", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up Docker Compose for local development\n\nDesigning multi-container architectures\n\nTroubleshooting container networking or volume issues\n\nReviewing Dockerfiles for security and size\n\nMigrating from local dev to containerized workflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "99e886de702369936125242457856c8c9a9fed584daaa412fcd2403f6e11c145", "alias_sources": []}
{"id": "d4af5e8dfea62843", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Interpreting Results", "Medium Findings (recommended)"], "section_title": "Medium Findings (recommended)", "section_body": "Medium Findings (recommended)\n\nSilent error suppression in hooks (`2>/dev/null`, `|| true`)\n\nMissing PreToolUse security hooks\n\n`npx -y` auto-install in MCP server configs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "b097af6ca695be392a6e99ff9744c693fabe32a21e4675c57a7b6c121c6d51d2", "alias_sources": []}
{"id": "d4bec72cfb7309c0", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Input Validation"], "section_title": "Input Validation", "section_body": "Input Validation\n\nUse Bean Validation with `@Valid` on controllers\n\nApply constraints on DTOs: `@NotBlank`, `@Email`, `@Size`, custom validators\n\nSanitize any HTML with a whitelist before rendering", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "f4671166c440ca5220a60768c35fd175ceec744c03f66ab9722173f92c6753fc", "alias_sources": []}
{"id": "d4c8b9e49829ed75", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Continuous Testing"], "section_title": "Continuous Testing", "section_body": "FAIL: WRONG: No Test Isolation\n\nPASS: CORRECT: Independent Tests\n\nContinuous Testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "1ded6a242924ded04f4c42c7d9c663a9c949656d43e46abf24b2849cba4c43bf", "alias_sources": []}
{"id": "d4f030fd86398513", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nBrief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**Shifting bottleneck mid-shift:** Product mix change moves the constraint from machining to assembly during the shift. The schedule that was optimal at 6:00 AM is wrong by 10:00 AM. Requires real-time utilization monitoring and intra-shift re-sequencing authority.\n\n**Certified operator absent for regulated process:** An FDA-regulated coating operation requires a specific operator certification. The only certified night-shift operator calls in sick. The line cannot legally run. Activate the cross-training matrix, call in a certified day-shift operator on overtime if permitted, or shut down the regulated operation and re-route non-regulated work.\n\n**Competing rush orders from tier-1 customers:** Two top-tier automotive OEM customers both demand expedited delivery. Satisfying one delays the other. Requires commercial decision input \u2014 which customer relationship carries higher penalty exposure or strategic value? The scheduler identifies the tradeoff; management decides.\n\n**MRP phantom demand from BOM error:** A BOM listing error causes MRP to generate planned orders for a component that is not actually consumed. The scheduler sees a work order with no real demand behind it. Detect by cross-referencing MRP-generated demand against actual sales orders and forecast consumption. Flag and hold \u2014 do not schedule phantom demand.\n\n**Quality hold on WIP affecting downstream:** A paint defect is discovered on 200 partially complete assemblies. These were scheduled to feed the final assembly constraint tomorrow. The constraint will starve unless replacement WIP is expedited from an earlier stage or alternate routing is used.\n\n**Equipment breakdown at the constraint:** The single most damaging disruption. Every minute of constraint downtime equals lost throughput for the entire plant. Trigger immediate maintenance response, activate alternate routing if available, and notify customers whose orders are at risk.\n\n**Supplier delivers wrong material mid-run:** A batch of steel arrives with the wrong alloy specification. Jobs already kitted with this material cannot proceed. Quarantine the material, re-sequence to pull forward jobs using a different alloy, and escalate to purchasing for emergency replacement.\n\n**Customer order change after production started:** The customer modifies quantity or specification after work is in process. Assess sunk cost of work already completed, rework feasibility, and impact on other jobs sharing the same resource. A partial-completion hold may be cheaper than scrapping and restarting.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "443ce6fc875a8b7c6371ac26fb8334b39a65615fb1df6a055970f0b66ea21e11", "alias_sources": []}
{"id": "d5a3cf350ff1c49d", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Repurposing Flow"], "section_title": "Repurposing Flow", "section_body": "Repurposing Flow\n\nPick the anchor asset.\n\nExtract 3 to 7 atomic claims or scenes.\n\nRank them by sharpness, novelty, and proof.\n\nAssign one strong idea per output.\n\nAdapt structure for each platform.\n\nStrip platform-shaped filler.\n\nRun the quality gate.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "2f10cb30a01c5ad2d968901059d7140c787d1892e155c689f3324f032610c58b", "alias_sources": []}
{"id": "d5adfd04311e16c9", "skill_name": "deep-research", "skill_description": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "skill_type": null, "section_path": ["Deep Research", "Workflow", "Step 3: Execute Multi-Source Search"], "section_title": "Step 3: Execute Multi-Source Search", "section_body": "Step 3: Execute Multi-Source Search\n\nFor EACH sub-question, search using available MCP tools:\n\n**With firecrawl:**\n\n**With exa:**\n\n**Search strategy:**\n\nUse 2-3 different keyword variations per sub-question\n\nMix general and news-focused queries\n\nAim for 15-30 unique sources total\n\nPrioritize: academic, official, reputable news > blogs > forums", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deep-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.", "mtime": 1776507629.677893, "body_hash": "fc27a8ec51b9366f7dcc79eb7913d3483e168e8e8fbc0176c070b0be7af21323", "alias_sources": []}
{"id": "d5ca9681bde1152d", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "PostgreSQL Patterns", "Renaming a Column (Zero-Downtime)"], "section_title": "Renaming a Column (Zero-Downtime)", "section_body": "PostgreSQL Patterns\n\nAdding a Column Safely\n\nAdding an Index Without Downtime\n\nRenaming a Column (Zero-Downtime)\n\nNever rename directly in production. Use the expand-contract pattern:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "f203058c04872627f9f2181d349cba5c738611adf939224937a229f49174ecac", "alias_sources": []}
{"id": "d600e41a71794c9d", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "How It Works", "Phase 4: Generate Onboarding Artifacts"], "section_title": "Phase 4: Generate Onboarding Artifacts", "section_body": "Phase 4: Generate Onboarding Artifacts\n\nProduce two outputs:\n\nOutput 1: Onboarding Guide\n\nOutput 1: Onboarding Guide\n\nOutput 2: Starter CLAUDE.md\n\nOutput 2: Starter CLAUDE.md\n\nGenerate or update a project-specific CLAUDE.md based on detected conventions. If `CLAUDE.md` already exists, read it first and enhance it \u2014 preserve existing project-specific instructions and clearly call out what was added or changed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "e0f3e05b1fb23ae56e2b9418475e154a29b8c23a56b585af1d2979196d21ac82", "alias_sources": []}
{"id": "d640610249605464", "skill_name": "finance-billing-ops", "skill_description": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "skill_type": null, "section_path": ["Finance Billing Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\ndistinguish live data from saved snapshots\n\nseparate:\n\nrevenue fact\n\ncustomer impact\n\ncode-backed product truth\n\nrecommendation\n\ndo not say \"per seat\" unless the actual entitlement path enforces it\n\ndo not assume duplicate subscriptions imply duplicate value", "source_path": "CODEFORGE\\everything-claude-code\\skills\\finance-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.", "mtime": 1776507629.7613413, "body_hash": "48d85b96d46a3142e38e964adf2160bf5701b30f4d601aa3b29c17856355c298", "alias_sources": []}
{"id": "d6610977c672644b", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Resource Management (R.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Resource Management (R.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **R.1** | Manage resources automatically using RAII |\n| **R.3** | A raw pointer (`T*`) is non-owning |\n| **R.5** | Prefer scoped objects; don't heap-allocate unnecessarily |\n| **R.10** | Avoid `malloc()`/`free()` |\n| **R.11** | Avoid calling `new` and `delete` explicitly |\n| **R.20** | Use `unique_ptr` or `shared_ptr` to represent ownership |\n| **R.21** | Prefer `unique_ptr` over `shared_ptr` unless sharing ownership |\n| **R.22** | Use `make_shared()` to make `shared_ptr`s |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "d3a6efc214a97ddbef718d55f15c60850f1de96c49292ba04be69b83e73a84a6", "alias_sources": []}
{"id": "d677ed6819c4f4cb", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Ingestion Workflow", "3. Store"], "section_title": "3. Store", "section_body": "3. Store\n\nWrite to appropriate layer(s):\n\nAlways update Claude Code memory for quick access\n\nUse MCP memory for semantic searchability and relationship mapping\n\nUpdate GitHub / Linear first when the information changes live project truth\n\nCommit to the knowledge base repo for durable long-form additions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:build"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "96e54bb4ef447251eda01878d2d81438d2d41d9a43d2e00fea1a09a4cc2da88a", "alias_sources": []}
{"id": "d68599371f1302f9", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops"], "section_title": "Customer Billing Ops", "section_body": "Customer Billing Ops\n\nUse this skill for real customer operations, not generic payment API design.\n\nThe goal is to help the operator answer: who is this customer, what happened, what is the safest fix, and what follow-up should we send?", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan", "phase:debug"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "7375d2317842ff7928f0f57af2eeb5c4cede4c88ae4a4cee5a8f8d15b66ad2bd", "alias_sources": []}
{"id": "d695ef9c776dc950", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nSetting up autonomous development workflows that run without human intervention\n\nChoosing the right loop architecture for your problem (simple vs complex)\n\nBuilding CI/CD-style continuous development pipelines\n\nRunning parallel agents with merge coordination\n\nImplementing context persistence across loop iterations\n\nAdding quality gates and cleanup passes to autonomous workflows", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "0352f35b3033a6ef5eb45737e40a4d81303d56c2a8f1afba69ac0a240da5f88e", "alias_sources": []}
{"id": "d6bfa079c525e461", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Table-Driven Tests"], "section_title": "Table-Driven Tests", "section_body": "TDD Workflow for Go\n\nThe RED-GREEN-REFACTOR Cycle\n\nStep-by-Step TDD in Go\n\nTable-Driven Tests\n\nThe standard pattern for Go tests. Enables comprehensive coverage with minimal code.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "54b5f637dbdec8c92b64bc66171f3aec547935a768a45862f250f6313a1f6c10", "alias_sources": []}
{"id": "d6c65892113de82e", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Route Model Binding (Scoped)"], "section_title": "Route Model Binding (Scoped)", "section_body": "Route Model Binding (Scoped)\n\nUse scoped bindings to prevent cross-tenant access.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "279f7bb5d0a1203f449369de38d273640ecec10dbb532a475b3b1f7201341953", "alias_sources": []}
{"id": "d72633eb51bbedbb", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Safe Regular Expressions", "ReDoS Prevention"], "section_title": "ReDoS Prevention", "section_body": "Length Constraints\n\nSafe Regular Expressions\n\nReDoS Prevention\n\nCatastrophic backtracking occurs with nested quantifiers on overlapping patterns.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "e7ec5cfc67a83f78ef5e7e0db4534a7cecccac15885b5798796dec29ae95a1ce", "alias_sources": []}
{"id": "d7481ba6a56c9c2f", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\n**Daily schedule publication:** Clear, structured, no ambiguity. Job sequence, start times, line assignments, operator assignments. Use table format. The shop floor does not read paragraphs.\n\n**Schedule change notification:** Urgent header, reason for change, specific jobs affected, new sequence and timing. \"Effective immediately\" or \"effective at [time].\"\n\n**Disruption escalation:** Lead with impact magnitude (hours of constraint time lost, number of customer orders at risk), then cause, then proposed response, then decision needed from management.\n\n**Overtime request:** Quantify the business case \u2014 cost of overtime vs. cost of missed deliveries. Include union rule compliance. \"Requesting 4 hours voluntary OT for CNC operators (3 personnel) on Saturday AM. Cost: $1,200. At-risk revenue without OT: $45,000.\"\n\n**Customer delivery impact notice:** Never surprise the customer. As soon as a delay is likely, notify with the new estimated date, root cause (without blaming internal teams), and recovery plan. \"Due to an equipment issue, order #12345 will ship [new date] vs. the original [old date]. We are running overtime to minimize the delay.\"\n\n**Maintenance coordination:** Specific window requested, business justification for the timing, impact if maintenance is deferred. \"Requesting PM window on Line 3, Tuesday 06:00\u201310:00. This avoids the Thursday changeover peak. Deferring past Friday risks an unplanned breakdown \u2014 vibration readings are trending into the caution zone.\"\n\nBrief templates appear above. Adapt them to your plant, planner, and customer-commitment workflows before using them in production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "23b00dfbec9674f80df18669559decfa2bd31ad3e4a8458e416b4c52dbb3b146", "alias_sources": []}
{"id": "d7defa1bd3c34a0f", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "11. Navigation and Routing", "General principles (apply to any routing solution):"], "section_title": "General principles (apply to any routing solution):", "section_body": "11. Navigation and Routing\n\nGeneral principles (apply to any routing solution):\n\n[ ] One routing approach used consistently \u2014 no mixing imperative `Navigator.push` with a declarative router\n\n[ ] Route arguments are typed \u2014 no `Map<String, dynamic>` or `Object?` casting\n\n[ ] Route paths defined as constants, enums, or generated \u2014 no magic strings scattered in code\n\n[ ] Auth guards/redirects centralized \u2014 not duplicated across individual screens\n\n[ ] Deep links configured for both Android and iOS\n\n[ ] Deep link URLs validated and sanitized before navigation\n\n[ ] Navigation state is testable \u2014 route changes can be verified in tests\n\n[ ] Back behavior is correct on all platforms", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "77e68c863544a9ff4ba5e329a44cbef89babf6a7fea55586bbde5a83f78c3223", "alias_sources": []}
{"id": "d8040b88a1171a4e", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "Authentication", "Custom User Model"], "section_title": "Custom User Model", "section_body": "Core Security Settings\n\nProduction Settings Configuration\n\nAuthentication\n\nCustom User Model", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "60fbea0213deda8670b2ca8a7945f1091775b11951523c1b2bc3d8460c3bf379", "alias_sources": []}
{"id": "d81f9c8aff891be1", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "HIPAA-Specific Guardrails"], "section_title": "HIPAA-Specific Guardrails", "section_body": "HIPAA-Specific Guardrails\n\nNever place PHI in logs, analytics events, crash reports, prompts, or client-visible error strings.\n\nNever expose PHI in URLs, browser storage, screenshots, or copied example payloads.\n\nRequire authenticated access, scoped authorization, and audit trails for PHI reads and writes.\n\nTreat third-party SaaS, observability, support tooling, and LLM providers as blocked-by-default until BAA status and data boundaries are clear.\n\nFollow minimum necessary access: the right user should only see the smallest PHI slice needed for the task.\n\nPrefer opaque internal IDs over names, MRNs, phone numbers, addresses, or other identifiers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "0db00f572fe022c9a2967c990ae09f0f51a0a61cc9331b432a6d83b45f14b07a", "alias_sources": []}
{"id": "d82a41bed321f7fe", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "Examples", "Example 3: NEWS2 Scoring"], "section_title": "Example 3: NEWS2 Scoring", "section_body": "Examples\n\nExample 1: Drug Interaction Check\n\nExample 2: Dose Validation\n\nExample 3: NEWS2 Scoring", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "b42eb7961c165edff87aab84aaeb64e2df050031913c12594c7d53ef64238a38", "alias_sources": []}
{"id": "d82d08c276874b0c", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 5: Outreach Draft", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\ngeneric templates with no personalization\n\nlong paragraphs explaining your whole company\n\nmultiple asks in one message\n\nfake familiarity without specifics\n\nbulk-sent messages with visible merge fields\n\nidentical copy reused for email, LinkedIn, and X\n\nplatform-shaped slop instead of the author's actual voice", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "fd041d9cab60abdc13bbaf5fad8cd4d2232ba55d602bd8d379e77b464f998e28", "alias_sources": []}
{"id": "d84c50098a54c59e", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`exa-search` for fast current-web discovery\n\n`deep-research` for multi-source synthesis with citations\n\n`market-research` when the end result should be a recommendation or ranked decision\n\n`lead-intelligence` when the task is people/company targeting instead of generic research\n\n`knowledge-ops` when the result should be stored in durable context afterward", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "bf1e9c08889ef69411f44552ba114a540e601fde7f1a87a7fa339ba4deadf1d8", "alias_sources": []}
{"id": "d87b270d98e14eb5", "skill_name": "investor-materials", "skill_description": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "skill_type": null, "section_path": ["Investor Materials", "Quality Gate"], "section_title": "Quality Gate", "section_body": "Quality Gate\n\nBefore delivering:\n\nevery number matches the current source of truth\n\nuse of funds and revenue layers sum correctly\n\nassumptions are visible, not buried\n\nthe story is clear without hype language\n\nthe final asset is defensible in a partner meeting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\investor-materials\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.", "mtime": 1776507629.817034, "body_hash": "3ab935feaf256b6af924402f6a8e11493db41e9f3c3f1942693abfd52c889ffa", "alias_sources": []}
{"id": "d891a63f180702b9", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Key Design Decisions"], "section_title": "Key Design Decisions", "section_body": "SwiftUI Integration\n\nKey Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| On-device execution | Privacy \u2014 no data leaves the device; works offline |\n| 4,096 token limit | On-device model constraint; chunk large data across sessions |\n| Snapshot streaming (not deltas) | Structured output friendly; each snapshot is a complete partial state |\n| `@Generable` macro | Compile-time safety for structured generation; auto-generates `PartiallyGenerated` type |\n| Single request per session | `isResponding` prevents concurrent requests; create multiple sessions if needed |\n| `response.content` (not `.output`) | Correct API \u2014 always access results via `.content` property |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "15829dbda17653b8f03d8e5da427d3836369ab74e42b144f4c7c9bb03e288ad0", "alias_sources": []}
{"id": "d8cdaec51be1312e", "skill_name": "ck", "skill_description": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "skill_type": null, "section_path": ["ck \u2014 Context Keeper", "Commands", "`/ck:resume [name|number]` \u2014 Full Briefing"], "section_title": "`/ck:resume [name|number]` \u2014 Full Briefing", "section_body": "`/ck:resume [name|number]` \u2014 Full Briefing\n\nDisplay output verbatim. Then ask: \"Continue from here? Or has anything changed?\"\nIf user reports changes \u2192 run `/ck:save` immediately.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ck\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts \u2014 behavior is consistent across model versions.", "mtime": 1776507629.4932077, "body_hash": "f31734053aecb64f205f1d6e95408a1f572b3753ce7173b39168984b755d4d09", "alias_sources": []}
{"id": "d8f04ea557f355bc", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Integration with ECC"], "section_title": "Integration with ECC", "section_body": "Integration with ECC\n\nUse `verification-loop` after recovery if code was changed.\n\nUse `continuous-learning-v2` when the failure pattern is worth turning into an instinct or later skill.\n\nUse `council` when the issue is not technical failure but decision ambiguity.\n\nUse `workspace-surface-audit` if the failure came from conflicting local state or repo drift.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "0c8f8723fc8072c7a15046f90cee6384901d767a0426890273ed078158e3b56e", "alias_sources": []}
{"id": "d915d2cda75c0350", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing"], "section_title": "AI Regression Testing", "section_body": "AI Regression Testing\n\nTesting patterns specifically designed for AI-assisted development, where the same model writes code and reviews it \u2014 creating systematic blind spots that only automated tests can catch.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "6dc3f811ea28b5f77d62db67d501c9d6433a3e8deac020d9f0b379c2ee41bd93", "alias_sources": []}
{"id": "d916878eea04b861", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "Rate Limiting", "Simple In-Memory Rate Limiter"], "section_title": "Simple In-Memory Rate Limiter", "section_body": "JWT Token Validation\n\nRole-Based Access Control\n\nRate Limiting\n\nSimple In-Memory Rate Limiter", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "bd71bade6700457cd264f2f22762cdce1423d1901af37db9267e3f2e71b5bc93", "alias_sources": []}
{"id": "d91b4619b9df872e", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Links"], "section_title": "Links", "section_body": "Links\n\n**GitHub**: [github.com/affaan-m/agentshield](https://github.com/affaan-m/agentshield)\n\n**npm**: [npmjs.com/package/ecc-agentshield](https://www.npmjs.com/package/ecc-agentshield)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "7462da30aefc3eac41fd74029c2ef6d0744ac714636d34f8df78555dfd86b660", "alias_sources": []}
{"id": "d9452e100fbdf35a", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Render Conventions"], "section_title": "Render Conventions", "section_body": "Render Conventions\n\ndefault to 16:9 landscape unless the user asks for vertical\n\nstart with a low-quality smoke test render\n\nonly push to higher quality after composition and timing are stable\n\nexport one clean thumbnail frame that reads at social size", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "ac1aa8fa63d9b4e509028232897592ac5d446f9a0869eabc1d7d21ebb01d658e", "alias_sources": []}
{"id": "d9534074b38f58d6", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering"], "section_title": "AI-First Engineering", "section_body": "AI-First Engineering\n\nUse this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "645b410fd5a21fc8916528c1455b848d55c550649ec8f94f198cd481c03739c6", "alias_sources": []}
{"id": "d95f3af96048ef89", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "Examples", "Example 1: Vague Chinese Prompt (Project Detected)"], "section_title": "Example 1: Vague Chinese Prompt (Project Detected)", "section_body": "Example 1: Vague Chinese Prompt (Project Detected)\n\n**User input:**\n\n**Phase 0 detects:** `package.json` with Next.js 15, TypeScript, Tailwind CSS\n\n**Optimized Prompt (Full):**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "8035f94c5a3996bb9bff59310568efa9dc2f339afae80e24aaf39a01759c186d", "alias_sources": []}
{"id": "d96112db08ee5848", "skill_name": "springboot-security", "skill_description": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "skill_type": null, "section_path": ["Spring Boot Security Review", "Authorization"], "section_title": "Authorization", "section_body": "Authorization\n\nEnable method security: `@EnableMethodSecurity`\n\nUse `@PreAuthorize(\"hasRole('ADMIN')\")` or `@PreAuthorize(\"@authz.canEdit(#id)\")`\n\nDeny by default; expose only required scopes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.", "mtime": 1776507630.1203845, "body_hash": "198f593af831f6c3cc1648311733db269d85bd7c7f60804da0b330a87c652935", "alias_sources": []}
{"id": "d96b994a9f7ea924", "skill_name": "django-tdd", "skill_description": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "skill_type": null, "section_path": ["Django Testing with TDD", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Quick Reference\n\n| Pattern | Usage |\n|---------|-------|\n| `@pytest.mark.django_db` | Enable database access |\n| `client` | Django test client |\n| `api_client` | DRF API client |\n| `factory.create_batch(n)` | Create multiple objects |\n| `patch('module.function')` | Mock external dependencies |\n| `override_settings` | Temporarily change settings |\n| `force_authenticate()` | Bypass authentication in tests |\n| `assertRedirects` | Check for redirects |\n| `assertTemplateUsed` | Verify template usage |\n| `mail.outbox` | Check sent emails |\n\nRemember: Tests are documentation. Good tests explain how your code should work. Keep them simple, readable, and maintainable.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test", "phase:docs"], "trigger_hints": "Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.", "mtime": 1776507629.7039833, "body_hash": "1fa1996777c60bd4fcecb54b0c6b1cfd61ed26cd3f3c5e7b13fc4ba60289ebb1", "alias_sources": []}
{"id": "d99f0ac6942d2a37", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "1. Sequential Pipeline (`claude -p`)", "Variations"], "section_title": "Variations", "section_body": "Variations\n\n**With model routing:**\n\n**With environment context:**\n\n**With `--allowedTools` restrictions:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "0409e31379afbc7fbbdabc2da0c39cdc33c5e7025bd9e059822704aaa6aa97a8", "alias_sources": []}
{"id": "d99ff566e7e3aea2", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Results: What to Expect"], "section_title": "Results: What to Expect", "section_body": "Results: What to Expect\n\nBased on Anthropic's published results:\n\n| Metric | Solo Agent | GAN Harness | Improvement |\n|--------|-----------|-------------|-------------|\n| Time | 20 min | 4-6 hours | 12-18x longer |\n| Cost | $9 | $125-200 | 14-22x more |\n| Quality | Barely functional | Production-ready | Phase change |\n| Core features | Broken | All working | N/A |\n| Design | Generic AI slop | Distinctive, polished | N/A |\n\n**The tradeoff is clear:** ~20x more time and cost for a qualitative leap in output quality. This is for projects where quality matters.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "69fadc7fc9b8246f5e663c1ea93e618f3318c13c17ef890263cbf7c5f0e8037b", "alias_sources": []}
{"id": "d9a2aa719021f773", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Escalation Protocols", "Automatic Escalation Triggers"], "section_title": "Automatic Escalation Triggers", "section_body": "Escalation Protocols\n\nAutomatic Escalation Triggers\n\n| Trigger | Action | Timeline |\n|---|---|---|\n| Exception value > $25,000 | Notify VP Supply Chain immediately | Within 1 hour |\n| Enterprise customer affected | Assign dedicated handler, notify account team | Within 2 hours |\n| Carrier non-response | Escalate to carrier account manager | After 4 hours |\n| Repeated carrier (3+ in 30 days) | Carrier performance review with procurement | Within 1 week |\n| Potential fraud indicators | Notify compliance and halt standard processing | Immediately |\n| Temperature excursion on regulated product | Notify quality/regulatory team | Within 30 minutes |\n| No scan update on high-value (> $50K) | Initiate trace protocol and notify security | After 24 hours |\n| Claims denied > $10,000 | Legal review of denial basis | Within 48 hours |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "07331caae40fc192b80ec6f108ae4db97cefe319e012e09d145a197c7de806c9", "alias_sources": []}
{"id": "d9e1ef2d41bc03c0", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to post tweets or threads programmatically\n\nReading timeline, mentions, or user data from X\n\nSearching X for content, trends, or conversations\n\nBuilding X integrations or bots\n\nAnalytics and engagement tracking\n\nUser says \"post to X\", \"tweet\", \"X API\", or \"Twitter API\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "0e12a2a96be8dfa6d96ba2656f93748c4f1e8400ec7bd45285cd79fdc0493d18", "alias_sources": []}
{"id": "da5febde8567ba00", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUse when: your agent needs to pay for an API call, purchase a service, settle with another agent, enforce per-task spending limits, or manage a non-custodial wallet. Pairs naturally with cost-aware-llm-pipeline and security-review skills.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "75a68991c867e05b32cd804f2c7740d562f6771f87acce57486b3cae6a89ec5f", "alias_sources": []}
{"id": "da622c8d3c098bab", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nInvestigating a non-conformance (NCR) from incoming inspection, in-process, or final test\n\nPerforming root cause analysis using 5-Why, Ishikawa, or fault tree methods\n\nDetermining disposition for non-conforming material (use-as-is, rework, scrap, return to vendor)\n\nCreating or reviewing a CAPA (Corrective and Preventive Action) plan\n\nInterpreting SPC data and control chart signals for process stability assessment\n\nPreparing for or responding to a regulatory audit finding", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "f1ffa960f1be922213d059c3376c9e3874f8d9d5e363d67d6525813c554b19f7", "alias_sources": []}
{"id": "da77feffa87a800d", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nSession performance feels sluggish or output quality is degrading\n\nYou've recently added many skills, agents, or MCP servers\n\nYou want to know how much context headroom you actually have\n\nPlanning to add more components and need to know if there's room\n\nRunning `/context-budget` command (this skill backs it)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "8e87e7f97b73931e7b86c1a1f9980a5e3a4f807ba91d91186508b3a722cf2a92", "alias_sources": []}
{"id": "da8b2d0a29ebce1e", "skill_name": "docker-patterns", "skill_description": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "skill_type": null, "section_path": ["Docker Patterns", "Volume Strategies", "Common Patterns"], "section_title": "Common Patterns", "section_body": "Custom Networks\n\nExposing Only What's Needed\n\nVolume Strategies\n\nCommon Patterns", "source_path": "CODEFORGE\\everything-claude-code\\skills\\docker-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.", "mtime": 1776507629.7150428, "body_hash": "66743b00df87d01409ce4d9833bef3e873d6957add4fc9bbc5210bbd5db34f78", "alias_sources": []}
{"id": "da901a098c63eb7e", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\nMatch communication tone to situation severity and audience:\n\n**Routine NCR, internal team:** Direct and factual. \"NCR-2025-0412: Incoming lot 4471 of part 7832-A has OD measurements at 12.52mm against a 12.45\u00b10.05mm specification. 18 of 50 sample pieces out of spec. Material quarantined in MRB cage, Bay 3.\"\n\n**Significant NCR, management reporting:** Summarize impact first \u2014 production impact, customer risk, financial exposure \u2014 then the details. Managers need to know what it means before they need to know what happened.\n\n**Supplier notification (SCAR):** Professional, specific, and documented. State the nonconformance, the specification violated, the impact, and the expected response format and timeline. Never accusatory; the data speaks.\n\n**Customer notification (non-conformance on shipped product):** Lead with what you know, what you've done (containment), what the customer needs to do, and the timeline for full resolution. Transparency builds trust; delay destroys it.\n\n**Regulatory response (audit finding):** Factual, accountable, and structured per the regulatory expectation (e.g., FDA Form 483 response format). Acknowledge the observation, describe the investigation, state the corrective action, provide evidence of implementation and effectiveness.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "761e012410ab9a991817417cf2a8270585196dcf53011a9833c5c09c07e32fe3", "alias_sources": []}
{"id": "da9d50036311a763", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Core Knowledge", "Fraud Detection"], "section_title": "Fraud Detection", "section_body": "Fraud Detection\n\nReturn fraud costs US retailers $24B+ annually. The challenge is detection without creating friction for legitimate customers:\n\n**Wardrobing (wear and return):** Customer buys apparel or accessories, wears them for an event, returns them. Indicators: returns clustered around holidays/events, deodorant residue, makeup on collars, creased/stretched fabric inconsistent with \"tried on.\" Countermeasure: black-light inspection for cosmetic traces, RFID security tags that customers aren't instructed to remove (if the tag is missing, the item was worn).\n\n**Receipt fraud:** Using found, stolen, or fabricated receipts to return shoplifted merchandise for cash. Declining as digital receipt lookup replaces paper, but still occurs. Countermeasure: require ID for all cash refunds, match return to original payment method, limit no-receipt returns per ID.\n\n**Swap fraud (return switching):** Returning a counterfeit, cheaper, or broken item in the packaging of a purchased item. Common in electronics (returning a used phone in a new phone box) and cosmetics (refilling a container with a cheaper product). Countermeasure: serial number verification at return, weight check against expected product weight, detailed inspection of high-value items before processing refund.\n\n**Serial returners:** Customers with return rates > 30% of purchases or > $5,000 in annual returns. Not all are fraudulent \u2014 some are genuinely indecisive or bracket-shopping (buying multiple sizes to try). Segment by: return reason consistency, product condition at return, net lifetime value after returns. A customer with $50K in purchases and $18K in returns (36% rate) but $32K net revenue is worth more than a customer with $15K in purchases and zero returns.\n\n**Bracketing:** Intentionally ordering multiple sizes/colours with the plan to return most. Legitimate shopping behavior that becomes costly at scale. Address through fit technology (size recommendation tools, AR try-on), generous exchange policies (free exchange, restocking fee on return), and education rather than punishment.\n\n**Price arbitrage:** Purchasing during promotions/discounts, then returning at a different location or time for full-price credit. Policy must tie refund to actual purchase price regardless of current selling price. Cross-channel returns are the primary vector.\n\n**Organised retail crime (ORC):** Coordinated theft-and-return operations across multiple stores/identities. Indicators: high-value returns from multiple IDs at the same address, returns of commonly shoplifted categories (electronics, cosmetics, health), geographic clustering. Report to LP (loss prevention) team \u2014 this is beyond standard returns operations.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "8f23db9aaeee26fb31c72f3cf957250bfcc6a6dc98e16fd9f165b9985ac29467", "alias_sources": []}
{"id": "dab145abd136bf76", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill", "Usage", "Output Formats"], "section_title": "Output Formats", "section_body": "Basic Scan\n\nRun against the current project's `.claude/` directory:\n\nOutput Formats", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "28cd2b43dcadb9e327a3d42d7934f5daf957db3d6dcc4760e3988a5219c4f729", "alias_sources": []}
{"id": "dae44f50f7c76adc", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Quick Security Checklist"], "section_title": "Quick Security Checklist", "section_body": "Security Tooling\n\nperlcritic Security Policies\n\nRunning perlcritic\n\nQuick Security Checklist\n\n| Check | What to Verify |\n|---|---|\n| Taint mode | `-T` flag on CGI/web scripts |\n| Input validation | Allowlist patterns, length limits |\n| File operations | Three-arg open, path traversal checks |\n| Process execution | List-form system, no shell interpolation |\n| SQL queries | DBI placeholders, never interpolate |\n| HTML output | `encode_entities()`, template auto-escape |\n| CSRF tokens | Generated, verified on state-changing requests |\n| Session config | Secure, HttpOnly, SameSite cookies |\n| HTTP headers | CSP, X-Frame-Options, HSTS |\n| Dependencies | Pinned versions, audited modules |\n| Regex safety | No nested quantifiers, anchored patterns |\n| Error messages | No stack traces or paths leaked to users |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "19721af802c08d7fb864a1c2ee4db0be745a12485b0bdcf86a23741aa13dedf2", "alias_sources": []}
{"id": "daeca2cbe9f07eac", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Formatting and Style"], "section_title": "Formatting and Style", "section_body": "Project Structure (Maven/Gradle)\n\nFormatting and Style\n\nUse 2 or 4 spaces consistently (project standard)\n\nOne public top-level type per file\n\nKeep methods short and focused; extract helpers\n\nOrder members: constants, fields, constructors, public methods, protected, private", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "f58d0d2b172e09dde31fd84495a3f4d0d888ac5f0715698f4f906be5316e011c", "alias_sources": []}
{"id": "db357c2a80d66cae", "skill_name": "crosspost", "skill_description": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "skill_type": null, "section_path": ["Crosspost", "Workflow", "Bluesky"], "section_title": "Bluesky", "section_body": "Bluesky\n\nkeep it concise\n\npreserve the author's cadence\n\ndo not rely on hashtags or feed-gaming language", "source_path": "CODEFORGE\\everything-claude-code\\skills\\crosspost\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.", "mtime": 1776507629.6571481, "body_hash": "7faa1ee5dfa70a212d7f31f602e81e91978531cec662cc2a2280e8953dbc8989", "alias_sources": []}
{"id": "db361ae544aa0622", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "How It Works", "Database Strategy"], "section_title": "Database Strategy", "section_body": "Database Strategy\n\n`RefreshDatabase` for most feature/integration tests (runs migrations once per test run, then wraps each test in a transaction when supported; in-memory databases may re-migrate per test)\n\n`DatabaseTransactions` when the schema is already migrated and you only need per-test rollback\n\n`DatabaseMigrations` when you need a full migrate/fresh for every test and can afford the cost\n\nUse `RefreshDatabase` as the default for tests that touch the database: for databases with transaction support, it runs migrations once per test run (via a static flag) and wraps each test in a transaction; for `:memory:` SQLite or connections without transactions, it migrates before each test. Use `DatabaseTransactions` when the schema is already migrated and you only need per-test rollbacks.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "6b3de9a7d2f257325bc4fa1dfe200879f55157063721e039d7b2384635fc35dc", "alias_sources": []}
{"id": "db6ea037269c7ee1", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Inertia Feature Tests"], "section_title": "Inertia Feature Tests", "section_body": "Authorization Tests\n\nInertia Feature Tests\n\nWhen using Inertia.js, assert on the component name and props with the Inertia testing helpers.\n\nPrefer `assertInertia` over raw JSON assertions to keep tests aligned with Inertia responses.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "f5a07533831019ee93baadebd10adcf7df91992bf96c8ec328c9deeaaa3baa8f", "alias_sources": []}
{"id": "db88b8e885c6c47a", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Architecture:"], "section_title": "Architecture:", "section_body": "Architecture:\n\n[ ] Business logic lives outside the widget layer \u2014 in a state management component (BLoC, Notifier, Controller, Store, ViewModel, etc.)\n\n[ ] State managers receive dependencies via injection, not by constructing them internally\n\n[ ] A service or repository layer abstracts data sources \u2014 widgets and state managers should not call APIs or databases directly\n\n[ ] State managers have a single responsibility \u2014 no \"god\" managers handling unrelated concerns\n\n[ ] Cross-component dependencies follow the solution's conventions:\n\nIn **Riverpod**: providers depending on providers via `ref.watch` is expected \u2014 flag only circular or overly tangled chains\n\nIn **BLoC**: blocs should not directly depend on other blocs \u2014 prefer shared repositories or presentation-layer coordination\n\nIn other solutions: follow the documented conventions for inter-component communication", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "9d9d17d659f7e7bdc4e9856064915a31aee3cfb6565ceeb345a5f7199257039e", "alias_sources": []}
{"id": "dba799910e852bf7", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Custom Hooks Patterns", "Debounce Hook"], "section_title": "Debounce Hook", "section_body": "Custom Hooks Patterns\n\nState Management Hook\n\nAsync Data Fetching Hook\n\nDebounce Hook", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "31b3e04d9db32c9c3e9d99d579bb4514b9d68614e033c5d8082923be81ce69cd", "alias_sources": []}
{"id": "dbd097cdb81b628d", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)"], "section_title": "Agent Payment Execution (x402)", "section_body": "Agent Payment Execution (x402)\n\nEnable AI agents to make autonomous payments with built-in spending controls. Uses the x402 HTTP payment protocol and MCP tools so agents can pay for external services, APIs, or other agents without custodial risk.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "a9df9681ff1284d658adb87bbc155ec9f7a37565210060dcf3623268259b05c4", "alias_sources": []}
{"id": "dbe1305f0dc80af2", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Always check `model.availability`** before creating a session \u2014 handle all unavailability cases\n\n**Use `instructions`** to guide model behavior \u2014 they take priority over prompts\n\n**Check `isResponding`** before sending a new request \u2014 sessions handle one request at a time\n\n**Access `response.content`** for results \u2014 not `.output`\n\n**Break large inputs into chunks** \u2014 4,096 token limit applies to instructions + prompt + output combined\n\n**Use `@Generable`** for structured output \u2014 stronger guarantees than parsing raw strings\n\n**Use `GenerationOptions(temperature:)`** to tune creativity (higher = more creative)\n\n**Monitor with Instruments** \u2014 use Xcode Instruments to profile request performance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "3c6c6376d450c0d27c837f2ee1b2c0229d94814218f04a9148e655bd2abf1ed7", "alias_sources": []}
{"id": "dc278ee3c23c3f5b", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Workflow", "5. Synthesize with bias guardrails"], "section_title": "5. Synthesize with bias guardrails", "section_body": "5. Synthesize with bias guardrails\n\nYou are both a participant and the synthesizer, so use these rules:\n\ndo not dismiss an external view without explaining why\n\nif an external voice changed your recommendation, say so explicitly\n\nalways include the strongest dissent, even if you reject it\n\nif two voices align against your initial position, treat that as a real signal\n\nkeep the raw positions visible before the verdict", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "d6e77542a69bc2e868c4f81167019533aa05e6f2ed6aed80b01d1561c4e0ece2", "alias_sources": []}
{"id": "dc515adbeea6d226", "skill_name": "verification-loop", "skill_description": "A comprehensive verification system for Claude Code sessions.", "skill_type": null, "section_path": ["Verification Loop Skill", "Integration with Hooks"], "section_title": "Integration with Hooks", "section_body": "Integration with Hooks\n\nThis skill complements PostToolUse hooks but provides deeper verification.\nHooks catch issues immediately; this skill provides comprehensive review.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\verification-loop\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "A comprehensive verification system for Claude Code sessions.", "mtime": 1776507630.1635244, "body_hash": "155860c0dc2e93b7529467e14d88554f8e1dd86599fcd5dbeaa8c1ec96da6f6d", "alias_sources": []}
{"id": "dc5f39850a07d976", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Go functions or methods\n\nAdding test coverage to existing code\n\nCreating benchmarks for performance-critical code\n\nImplementing fuzz tests for input validation\n\nFollowing TDD workflow in Go projects", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "01347cf3e42b79b8c47667a87849dbc5fd5ef807b5072a24192d22cdab1ad19d", "alias_sources": []}
{"id": "dce721574a9a75de", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n| Anti-pattern | Problem | Fix |\n|---|---|---|\n| One LLM call per item | Hits rate limits instantly | Batch 5 items per call |\n| Hardcoded keywords in code | Not reusable | Move all config to `config.yaml` |\n| Scraping without rate limit | IP ban | Add `time.sleep(1)` between requests |\n| Storing secrets in code | Security risk | Always use `.env` + GitHub Secrets |\n| No deduplication | Duplicate rows pile up | Always check URL before pushing |\n| Ignoring `robots.txt` | Legal/ethical risk | Respect crawl rules; use public APIs when available |\n| JS-rendered sites with `requests` | Empty response | Use Playwright or look for the underlying API |\n| `maxOutputTokens` too low | Truncated JSON, parse error | Use 2048+ for batch responses |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:debug"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "6e74b4fb5f8a8efa8dd410e4d19cc9f860250e8a4942dd879e2e846dbcadfbbd", "alias_sources": []}
{"id": "dceadf188266b0ee", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 3: MCP Memory Server (Structured Knowledge Graph)"], "section_title": "Layer 3: MCP Memory Server (Structured Knowledge Graph)", "section_body": "Layer 3: MCP Memory Server (Structured Knowledge Graph)\n\n**Access:** MCP memory tools (create_entities, create_relations, add_observations, search_nodes)\n\n**Use for:** Semantic search across all stored memories, relationship mapping\n\n**Cross-session persistence with queryable graph structure**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "94482132630f98506a96570d6f7cd1baa25e7edfb61a55f1031eaf0994b2a189", "alias_sources": []}
{"id": "dd0356ac8fd8cc73", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Basic Session"], "section_title": "Core Pattern \u2014 Basic Session", "section_body": "Core Pattern \u2014 Basic Session\n\nKey points for instructions:\n\nDefine the model's role (\"You are a mentor\")\n\nSpecify what to do (\"Help extract calendar events\")\n\nSet style preferences (\"Respond as briefly as possible\")\n\nAdd safety measures (\"Respond with 'I can't help with that' for dangerous requests\")", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "e1ccc5ca8bed01ee0830ee5f59c2164a6ee11c6339063634aa91860be2cfa438", "alias_sources": []}
{"id": "dd0d78fcc5f649af", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Templates & Generic Programming (T.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Templates & Generic Programming (T.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **T.1** | Use templates to raise the level of abstraction |\n| **T.2** | Use templates to express algorithms for many argument types |\n| **T.10** | Specify concepts for all template arguments |\n| **T.11** | Use standard concepts whenever possible |\n| **T.13** | Prefer shorthand notation for simple concepts |\n| **T.43** | Prefer `using` over `typedef` |\n| **T.120** | Use template metaprogramming only when you really need to |\n| **T.144** | Don't specialize function templates (overload instead) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "4a237d59ba71a04d70465bdf2357a055978427217f6ec67ecec0eab02f005310", "alias_sources": []}
{"id": "dd166c706aa8e3b3", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Security"], "section_title": "Security", "section_body": "Error Handling\n\nSecurity\n\n**Never hardcode tokens.** Use environment variables or `.env` files.\n\n**Never commit `.env` files.** Add to `.gitignore`.\n\n**Rotate tokens** if exposed. Regenerate at developer.x.com.\n\n**Use read-only tokens** when write access is not needed.\n\n**Store OAuth secrets securely** \u2014 not in source code or logs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "01d85d0d86cfc982e1d74306452ee4e56842bc6faf96527075c7b2cb794ce9ee", "alias_sources": []}
{"id": "dd273606a1bed2de", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Core Principles", "2. Coverage Requirements"], "section_title": "2. Coverage Requirements", "section_body": "2. Coverage Requirements\n\nMinimum 80% coverage (unit + integration + E2E)\n\nAll edge cases covered\n\nError scenarios tested\n\nBoundary conditions verified", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "8a7f8cddba42fd9bad4a6e71e5ef4c9b4808228c0edc2ad5ae7530518a4d3a4f", "alias_sources": []}
{"id": "dd2c45eb0a366ebd", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Coroutines", "Cancellation and Cleanup"], "section_title": "Cancellation and Cleanup", "section_body": "Coroutines\n\nStructured Concurrency\n\nFlow for Reactive Streams\n\nCancellation and Cleanup", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "5e41c20eea0a2b8492808aae60051df066d0781cd3391ef27d70e050fc1cb3cd", "alias_sources": []}
{"id": "dd32c73c9816e424", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "Examples", "Does Not Trigger"], "section_title": "Does Not Trigger", "section_body": "Does Not Trigger\n\n\"What is a JWT token?\"\n\n\"The checkout flow uses a payment token.\"\n\n\"Is this normal?\"\n\n\"Complete the refactor.\"\n\nFollow-up questions after the user already chose a depth for the session", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "7fee206dbaef660b03bd5e7f3555bfd8799a0ba03520930dd83eacce5de6f0c3", "alias_sources": []}
{"id": "dd3649834d0524df", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Workflow", "Step 1: Understand the Goal"], "section_title": "Step 1: Understand the Goal", "section_body": "Step 1: Understand the Goal\n\nAsk the user:\n\n**What to collect:** \"What data source? URL / API / RSS / public endpoint?\"\n\n**What to extract:** \"What fields matter? Title, price, URL, date, score?\"\n\n**How to store:** \"Where should results go? Notion, Google Sheets, Supabase, or local file?\"\n\n**How to enrich:** \"Do you want AI to score, summarise, classify, or match each item?\"\n\n**Frequency:** \"How often should it run? Every hour, daily, weekly?\"\n\nCommon examples to prompt:\n\nJob boards \u2192 score relevance to resume\n\nProduct prices \u2192 alert on drops\n\nGitHub repos \u2192 summarise new releases\n\nNews feeds \u2192 classify by topic + sentiment\n\nSports results \u2192 extract stats to tracker\n\nEvents calendar \u2192 filter by interest", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "1a1baedc84c235fa1c4a3274fee68f6487273888780cefc6804c76951cd493ce", "alias_sources": []}
{"id": "dd7008fb03d9601b", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Modules, Controllers, and Providers"], "section_title": "Modules, Controllers, and Providers", "section_body": "Modules, Controllers, and Providers\n\nControllers should stay thin: parse HTTP input, call a provider, return response DTOs.\n\nPut business logic in injectable services, not controllers.\n\nExport only the providers other modules genuinely need.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "a012ab60447654687f076dd719c8896edf100a973dd323a029dc5a900c9eaed8", "alias_sources": []}
{"id": "ddb82654daaa0f09", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\n**Advisory only \u2014 do not execute the user's task.**\n\nDo NOT write code, create files, run commands, or take any implementation\naction. Your ONLY output is an analysis plus an optimized prompt.\n\nIf the user says \"just do it\", \"\u76f4\u63a5\u505a\", or \"don't optimize, just execute\",\ndo not switch into implementation mode inside this skill. Tell the user this\nskill only produces optimized prompts, and instruct them to make a normal\ntask request if they want execution instead.\n\nRun this 6-phase pipeline sequentially. Present results using the Output Format below.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "0f2ef34db169c4f3d144e65311d666017bb346f9bb326500cd06205ada56c640", "alias_sources": []}
{"id": "ddd8bb10d22233e7", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser wants to find Laravel packages for a specific feature (e.g. \"auth\", \"permissions\", \"admin panel\")\n\nUser asks \"what package should I use for...\" or \"is there a Laravel package for...\"\n\nUser wants to check if a package is actively maintained\n\nUser needs to verify Laravel version compatibility\n\nUser wants to assess package health before adding to a project", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "b7f29c20cadf251644cb3a5f2e906f48e7c5346a460a7d7d9d2b493810382d40", "alias_sources": []}
{"id": "ddee077e2af94cb6", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nComparing coding agents (Claude Code, Aider, Codex, etc.) on your own codebase\n\nMeasuring agent performance before adopting a new tool or model\n\nRunning regression checks when an agent updates its model or tooling\n\nProducing data-backed agent selection decisions for a team", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "afb438fc19bd2938a95510ca2f074475842f91d02354509668c7bee27170b63b", "alias_sources": []}
{"id": "de254cd0af7e1880", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "testApplication Testing", "Testing Authenticated Routes"], "section_title": "Testing Authenticated Routes", "section_body": "Request Validation\n\nWebSockets\n\ntestApplication Testing\n\nBasic Route Testing\n\nTesting Authenticated Routes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "15b209eb5e739b31c1ffd81dd63e7c516b26ca71e88d57e55277ed3b6c99ccf9", "alias_sources": []}
{"id": "de2cfbeb3feccf02", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "Workflow", "Capturing a New ADR"], "section_title": "Capturing a New ADR", "section_body": "Workflow\n\nCapturing a New ADR\n\nWhen a decision moment is detected:\n\n**Initialize (first time only)** \u2014 if `docs/adr/` does not exist, ask the user for confirmation before creating the directory, a `README.md` seeded with the index table header (see ADR Index Format below), and a blank `template.md` for manual use. Do not create files without explicit consent.\n\n**Identify the decision** \u2014 extract the core architectural choice being made\n\n**Gather context** \u2014 what problem prompted this? What constraints exist?\n\n**Document alternatives** \u2014 what other options were considered? Why were they rejected?\n\n**State consequences** \u2014 what are the trade-offs? What becomes easier/harder?\n\n**Assign a number** \u2014 scan existing ADRs in `docs/adr/` and increment\n\n**Confirm and write** \u2014 present the draft ADR to the user for review. Only write to `docs/adr/NNNN-decision-title.md` after explicit approval. If the user declines, discard the draft without writing any files.\n\n**Update the index** \u2014 append to `docs/adr/README.md`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build", "phase:review", "phase:docs"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "0b07055270c508380d1ad41d62386b2b4866249ce340ee5a53eb58c15e9670ec", "alias_sources": []}
{"id": "de3ac8076349a7a3", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Scene Detection and Auto-Cut", "FFmpeg scene detection"], "section_title": "FFmpeg scene detection", "section_body": "Reframe with FFmpeg\n\nReframe with VideoDB\n\nScene Detection and Auto-Cut\n\nFFmpeg scene detection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "c4b6172bdc36902cff6ba7a2a81845752213af383f750befe48e564c285aea3b", "alias_sources": []}
{"id": "de5453dffa7a31e1", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Output Encoding"], "section_title": "Output Encoding", "section_body": "Session and Header Security\n\nOutput Encoding\n\nAlways encode output for its context: `HTML::Entities::encode_entities()` for HTML, `URI::Escape::uri_escape_utf8()` for URLs, `JSON::MaybeXS::encode_json()` for JSON.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "f29b3eab063d113da24d143113ce7aaf1c52f2e99e6872fe191303a01aed8d97", "alias_sources": []}
{"id": "de6200311d20020c", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "Common Testing Mistakes to Avoid", "FAIL: WRONG: Testing Implementation Details"], "section_title": "FAIL: WRONG: Testing Implementation Details", "section_body": "Coverage Thresholds\n\nCommon Testing Mistakes to Avoid\n\nFAIL: WRONG: Testing Implementation Details", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "2cce3690f78679901f1ca4a905ea6ae96b36d088b127d34c24de4924d14adef3", "alias_sources": []}
{"id": "de6235add659c15d", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 4: Knowledge base repo / durable document store"], "section_title": "Layer 4: Knowledge base repo / durable document store", "section_body": "Layer 4: Knowledge base repo / durable document store\n\n**Use for:** curated durable notes, session exports, synthesized research, operator memory, long-form docs\n\n**Rule:** this is the preferred durable store for cross-machine context when the content is not repo-owned code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "efcc7e78965ea7bf01b1f7d064ce189d9ecd1c157c2d502d57d3a36649e5b005", "alias_sources": []}
{"id": "de6856125c2f30ed", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nStarting a new project or module\n\nReviewing code for quality and maintainability\n\nRefactoring existing code to follow conventions\n\nEnforcing naming, formatting, or structural consistency\n\nSetting up linting, formatting, or type-checking rules\n\nOnboarding new contributors to coding conventions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "643c3837caa52629b6095840babfbbe8888a57c731d08ae00b47e58c6ffb4886", "alias_sources": []}
{"id": "de7436edb0492fe4", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Performance", "Equatable Conformance"], "section_title": "Equatable Conformance", "section_body": "Equatable Conformance\n\nFor views with expensive bodies, conform to `Equatable` to skip unnecessary re-renders:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "d92b45ea8ec0b3cde8fc56c90f459c0ea4fb99e8cae8e3df0b2c38286f267d15", "alias_sources": []}
{"id": "de888130790acaed", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\n**Remember**: Kotlin code should be concise but readable. Leverage the type system for safety, prefer immutability, and use coroutines for concurrency. When in doubt, let the compiler help you.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "583ffa0084d9632bff971dd8107e9ad888b792665a639837ac44466a3110a728", "alias_sources": []}
{"id": "dea5c1fd492c0b3a", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "Examples", "Example: Prisma query"], "section_title": "Example: Prisma query", "section_body": "Example: Prisma query\n\nCall **resolve-library-id** with `libraryName: \"Prisma\"`, `query: \"How do I query with relations?\"`.\n\nSelect the official Prisma library ID (e.g. `/prisma/prisma`).\n\nCall **query-docs** with that `libraryId` and the query.\n\nReturn the Prisma Client pattern (e.g. `include` or `select`) with a short code snippet from the docs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "3d2dfd5dd98b717a30c536fa68fb2ea338ebcc41a3f3beec1df3c56c4083b5a3", "alias_sources": []}
{"id": "dea81747e218a871", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline", "Unit Spec Template"], "section_title": "Unit Spec Template", "section_body": "Unit Spec Template\n\nEach work unit should include:\n\n`id`\n\n`depends_on`\n\n`scope`\n\n`acceptance_tests`\n\n`risk_level`\n\n`rollback_plan`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "07a4391b9b6ee8ba008b5d581216a2e0260a93e97f67498969860d6fcc0f7ed3", "alias_sources": []}
{"id": "dec5aaf70acb1933", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "9. Security", "Secure storage:"], "section_title": "Secure storage:", "section_body": "9. Security\n\nSecure storage:\n\n[ ] Sensitive data (tokens, credentials) stored using platform-secure storage (Keychain on iOS, EncryptedSharedPreferences on Android)\n\n[ ] Never store secrets in plaintext storage\n\n[ ] Biometric authentication gating considered for sensitive operations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a5664701af6938f96d2ff2047b5209e2bc9b6deb9b907736d19709db90fc020e", "alias_sources": []}
{"id": "deca37280687ef4a", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops"], "section_title": "Automation Audit Ops", "section_body": "Automation Audit Ops\n\nUse this when the user asks what automations are live, which jobs are broken, where overlap exists, or what tooling and connectors are actually doing useful work right now.\n\nThis is an audit-first operator skill. The job is to produce an evidence-backed inventory and a keep / merge / cut / fix-next recommendation set before rewriting anything.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "156058a253a4ce4e31ed5a013b41624a3e56ac1e2a1f9799b92b64016a8fc167", "alias_sources": []}
{"id": "ded6229eab1e3a3a", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search"], "section_title": "Exa Search", "section_body": "Exa Search\n\nNeural search for web content, code, companies, and people via the Exa MCP server.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "7be2deb85a1a6fb46d8ba27f4e9fda1c3cb26ac3947402aac25b0caf1a34f37b", "alias_sources": []}
{"id": "df2195b336783d65", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "Performance", "Use Lazy Containers for Large Collections"], "section_title": "Use Lazy Containers for Large Collections", "section_body": "Performance\n\nUse Lazy Containers for Large Collections\n\n`LazyVStack` and `LazyHStack` create views only when visible:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "25e732605ace7d365da1b0fe47ee73f8b4602d77992fefe1e24c7902fffa5efc", "alias_sources": []}
{"id": "df299b126b8e37d7", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "How it works", "Running Python code"], "section_title": "Running Python code", "section_body": "Running Python code\n\nBefore running any VideoDB code, change to the project directory and load environment variables:\n\nThis reads `VIDEO_DB_API_KEY` from:\n\nEnvironment (if already exported)\n\nProject's `.env` file in current directory\n\nIf the key is missing, `videodb.connect()` raises `AuthenticationError` automatically.\n\nDo NOT write a script file when a short inline command works.\n\nWhen writing inline Python (`python -c \"...\"`), always use properly formatted code \u2014 use semicolons to separate statements and keep it readable. For anything longer than ~3 statements, use a heredoc instead:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "1fe7a20b55ca744d3ab18fbd64abd5436ea2bf0e2fb60d87452ea9003fd6b2fa", "alias_sources": []}
{"id": "df3491622c6297f4", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement"], "section_title": "skill-comply: Automated Compliance Measurement", "section_body": "skill-comply: Automated Compliance Measurement\n\nMeasures whether coding agents actually follow skills, rules, or agent definitions by:\n\nAuto-generating expected behavioral sequences (specs) from any .md file\n\nAuto-generating scenarios with decreasing prompt strictness (supportive \u2192 neutral \u2192 competing)\n\nRunning `claude -p` and capturing tool call traces via stream-json\n\nClassifying tool calls against spec steps using LLM (not regex)\n\nChecking temporal ordering deterministically\n\nGenerating self-contained reports with spec, prompts, and timelines", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "b93d0f54fe916013f10f8ae34cab1287691b5ca08885b60254d4aad3da98e7cc", "alias_sources": []}
{"id": "df35c8fb4136ec22", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "State Management Quick Reference"], "section_title": "State Management Quick Reference", "section_body": "State Management Quick Reference\n\nThe table below maps universal principles to their implementation in popular solutions. Use this to adapt review rules to whichever solution the project uses.\n\n| Principle | BLoC/Cubit | Riverpod | Provider | GetX | MobX | Signals | Built-in |\n|-----------|-----------|----------|----------|------|------|---------|----------|\n| State container | `Bloc`/`Cubit` | `Notifier`/`AsyncNotifier` | `ChangeNotifier` | `GetxController` | `Store` | `signal()` | `StatefulWidget` |\n| UI consumer | `BlocBuilder` | `ConsumerWidget` | `Consumer` | `Obx`/`GetBuilder` | `Observer` | `Watch` | `setState` |\n| Selector | `BlocSelector`/`buildWhen` | `ref.watch(p.select(...))` | `Selector` | N/A | computed | `computed()` | N/A |\n| Side effects | `BlocListener` | `ref.listen` | `Consumer` callback | `ever()`/`once()` | `reaction` | `effect()` | callbacks |\n| Disposal | auto via `BlocProvider` | `.autoDispose` | auto via `Provider` | `onClose()` | `ReactionDisposer` | manual | `dispose()` |\n| Testing | `blocTest()` | `ProviderContainer` | `ChangeNotifier` directly | `Get.put` in test | store directly | signal directly | widget test |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:test", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a6dd80bdafbfca37e6b348fabd2d0560cb0f0d866d65e5d3e529b395b6b6b780", "alias_sources": []}
{"id": "df819fdac5b23418", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "Project Detection"], "section_title": "Project Detection", "section_body": "How It Works\n\nProject Detection\n\nThe system automatically detects your current project:\n\n**`CLAUDE_PROJECT_DIR` env var** (highest priority)\n\n**`git remote get-url origin`** -- hashed to create a portable project ID (same repo on different machines gets the same ID)\n\n**`git rev-parse --show-toplevel`** -- fallback using repo path (machine-specific)\n\n**Global fallback** -- if no project is detected, instincts go to global scope\n\nEach project gets a 12-character hash ID (e.g., `a1b2c3d4e5f6`). A registry file at `~/.claude/homunculus/projects.json` maps IDs to human-readable names.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "af5317345e390b9c18bd62b2dae176d566545edb71381b1ff38d34c034eeef63", "alias_sources": []}
{"id": "dfb35cd8c40f4c92", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "API Security", "Rate Limiting"], "section_title": "Rate Limiting", "section_body": "File Upload Security\n\nFile Validation\n\nSecure File Storage\n\nAPI Security\n\nRate Limiting", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "6cc7b40dd21564a2d811470a3752cd50f8e875ada29f77ff7cdd85a781375d17", "alias_sources": []}
{"id": "dfbfbd7c3b30a034", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 2: Rehearse", "Why"], "section_title": "Why", "section_body": "Why\n\nSilent selector failures are the main reason demo recordings break. Rehearsal catches them before you waste a recording.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "5b8146440b51bf8480cdb77e959ce1c65f4ace6adc5dfea78593ea2c25c649bf", "alias_sources": []}
{"id": "dfd0870d47ab702e", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Implementation Patterns", "Pattern B: Sequential Inline (Fallback)"], "section_title": "Pattern B: Sequential Inline (Fallback)", "section_body": "Pattern B: Sequential Inline (Fallback)\n\nWhen subagents aren't available, simulate isolation with explicit context resets:\n\nGenerate output\n\nNew context: \"You are Reviewer 1. Evaluate ONLY against this rubric. Find problems.\"\n\nRecord findings verbatim\n\nClear context completely\n\nNew context: \"You are Reviewer 2. Evaluate ONLY against this rubric. Find problems.\"\n\nCompare both reviews, fix, repeat\n\nThe subagent pattern is strictly superior \u2014 inline simulation risks context bleed between reviewers.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "1facbeadf0c3a676668995fb32522a6e98987a2d9a5671f8dee9fa2a9bde7289", "alias_sources": []}
{"id": "e0418dc2ce182169", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "4. Continuous Claude PR Loop", "Key Configuration"], "section_title": "Key Configuration", "section_body": "Key Configuration\n\n| Flag | Purpose |\n|------|---------|\n| `--max-runs N` | Stop after N successful iterations |\n| `--max-cost $X` | Stop after spending $X |\n| `--max-duration 2h` | Stop after time elapsed |\n| `--merge-strategy squash` | squash, merge, or rebase |\n| `--worktree <name>` | Parallel execution via git worktrees |\n| `--disable-commits` | Dry-run mode (no git operations) |\n| `--review-prompt \"...\"` | Add reviewer pass per iteration |\n| `--ci-retry-max N` | Auto-fix CI failures (default: 1) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "82d841ef57f28b2d0ec94b056850c1699cff187c958dedecd40d99559d3324b0", "alias_sources": []}
{"id": "e094f18325f3d4b7", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Signed URLs"], "section_title": "Signed URLs", "section_body": "Signed URLs\n\nUse signed routes for temporary, tamper-proof links.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "524c8f6406cde44721d5505ad867c56567457ad212f8d4e8ef12f39e7338048c", "alias_sources": []}
{"id": "e09b475c3757eb28", "skill_name": "continuous-learning", "skill_description": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "skill_type": null, "section_path": ["Continuous Learning Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up automatic pattern extraction from Claude Code sessions\n\nConfiguring the Stop hook for session evaluation\n\nReviewing or curating learned skills in `~/.claude/skills/learned/`\n\nAdjusting extraction thresholds or pattern categories\n\nComparing v1 (this) vs v2 (instinct-based) approaches", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.", "mtime": 1776507629.6284277, "body_hash": "f5be0e62a2e08e6c80899c3b2a9a8c12d721150e53ef4779b3c9b7c1d2f62a95", "alias_sources": []}
{"id": "e0c0703ace06ea94", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Key Edge Cases"], "section_title": "Key Edge Cases", "section_body": "Key Edge Cases\n\nThese are situations where standard workflows fail. Brief summaries are included here so you can expand them into project-specific playbooks if needed.\n\n**High-value electronics with firmware wiped:** Customer returns a laptop claiming defect, but the unit has been factory-reset and shows 6 months of battery cycle count. The device was used extensively and is now being returned as \"defective\" \u2014 grading must look beyond the clean software state.\n\n**Hazmat return with improper packaging:** Customer returns a product containing lithium batteries or chemicals without the required DOT packaging. Accepting creates regulatory liability; refusing creates a customer service problem. The product cannot go back through standard parcel return shipping.\n\n**Cross-border return with duty implications:** An international customer returns a product that was exported with duty paid. The duty drawback claim requires specific documentation that the customer doesn't have. The return shipping cost may exceed the product value.\n\n**Influencer bulk return post-content-creation:** A social media influencer purchases 20+ items, creates content, returns all but one. Technically within policy, but the brand value was extracted. Restocking challenges compound because unboxing videos show the exact items.\n\n**Warranty claim on product modified by customer:** Customer replaced a component in a product (e.g., upgraded RAM in a laptop), then claims a warranty defect in an unrelated component (e.g., screen failure). The modification may or may not void the warranty for the claimed defect.\n\n**Serial returner who is also a high-value customer:** Customer with $80K annual spend and a 42% return rate. Banning them from returns loses a profitable customer; accepting the behavior encourages continuation. Requires nuanced segmentation beyond simple return rate.\n\n**Return of a recalled product:** Customer returns a product that is subject to an active safety recall. The standard return process is wrong \u2014 recalled products follow the recall programme, not the returns programme. Mixing them creates liability and reporting errors.\n\n**Gift receipt return where current price exceeds purchase price:** The gift recipient brings a gift receipt. The item is now selling for $30 more than the gift-giver paid. Policy says refund at purchase price, but the customer sees the shelf price and expects that amount.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:docs"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "8ffcae3e8ea331c2fb1aac6c3db4f37a4ae857dcd4f3f5f14939beb28876cbef", "alias_sources": []}
{"id": "e0da86b490e9e6eb", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "Key Design Decisions"], "section_title": "Key Design Decisions", "section_body": "Key Design Decisions\n\n| Decision | Rationale |\n|----------|-----------|\n| Actor (not class + lock) | Compiler-enforced thread safety, no manual synchronization |\n| In-memory cache + file persistence | Fast reads from cache, durable writes to disk |\n| Synchronous init loading | Avoids async initialization complexity |\n| Dictionary keyed by ID | O(1) lookups by identifier |\n| Generic over `Codable & Identifiable` | Reusable across any model type |\n| Atomic file writes (`.atomic`) | Prevents partial writes on crash |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "9926b1b403865663abf5b151ecb7efa35a1cfbc066afc82fddf35592798ee5d1", "alias_sources": []}
{"id": "e0fb1b96beceb6f2", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill", "Security Checklist", "1. Secrets Management"], "section_title": "1. Secrets Management", "section_body": "Security Checklist\n\n1. Secrets Management\n\nFAIL: NEVER Do This\n\nFAIL: NEVER Do This\n\nPASS: ALWAYS Do This\n\nPASS: ALWAYS Do This\n\nVerification Steps\n\nVerification Steps\n\n[ ] No hardcoded API keys, tokens, or passwords\n\n[ ] All secrets in environment variables\n\n[ ] `.env.local` in .gitignore\n\n[ ] No secrets in git history\n\n[ ] Production secrets in hosting platform (Vercel, Railway)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "8383cfff354f4e02eedadd6aac062bf224b35d63bacba5881491deece1254873", "alias_sources": []}
{"id": "e1244b4ef06d4ac4", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Example"], "section_title": "Example", "section_body": "Example\n\nQuestion:\n\nLikely council shape:\n\nArchitect pushes for structural integrity and avoiding a confused surface\n\nSkeptic questions whether the UI is actually the gating factor\n\nPragmatist asks what can be shipped now without harming trust\n\nCritic focuses on support burden, expectation debt, and rollout confusion\n\nThe value is not unanimity. The value is making the disagreement legible before choosing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "a7e06fb1e079070997eeaae364b80f1d27fe366d43f226f0d60d5a7e1d9b1701", "alias_sources": []}
{"id": "e1351e36adbb1cec", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Test Helpers", "Temporary Files and Directories"], "section_title": "Temporary Files and Directories", "section_body": "Parallel Subtests\n\nTest Helpers\n\nHelper Functions\n\nTemporary Files and Directories", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go", "phase:test"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "2843f16f51d3cdb2e19008fc6ecd700e829e6df06b27e11ea831b3a60535984c", "alias_sources": []}
{"id": "e1421120e098302f", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "Common Scraping Patterns", "Pattern 1: REST API (easiest)"], "section_title": "Pattern 1: REST API (easiest)", "section_body": "Step 10: config.yaml Template\n\nCommon Scraping Patterns\n\nPattern 1: REST API (easiest)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "938b7e1d262b794e604d7c0ebef1778e6379524844a98af5884a063ba6e2bcb7", "alias_sources": []}
{"id": "e1678d3e13d03a73", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "Core Pattern \u2014 Guided Generation with @Generable", "Supported @Guide Constraints"], "section_title": "Supported @Guide Constraints", "section_body": "1. Define a Generable Type\n\n2. Request Structured Output\n\nSupported @Guide Constraints\n\n`.range(0...20)` \u2014 numeric range\n\n`.count(3)` \u2014 array element count\n\n`description:` \u2014 semantic guidance for generation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "01b87488a939d9184cfda7e18bfdb403d7303617fea12420787970fdedea3af1", "alias_sources": []}
{"id": "e17972813f5018c2", "skill_name": "browser-qa", "skill_description": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "skill_type": null, "section_path": ["Browser QA \u2014 Automated Visual Testing & Interaction", "When to Use"], "section_title": "When to Use", "section_body": "Browser QA \u2014 Automated Visual Testing & Interaction\n\nWhen to Use\n\nAfter deploying a feature to staging/preview\n\nWhen you need to verify UI behavior across pages\n\nBefore shipping \u2014 confirm layouts, forms, interactions actually work\n\nWhen reviewing PRs that touch frontend code\n\nAccessibility audits and responsive testing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\browser-qa\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.", "mtime": 1776507629.4872117, "body_hash": "3f33382de6aba81d91e9895da0fb4ee1130b2e98381e490f51552f784c5a21c4", "alias_sources": []}
{"id": "e17f9686f648df65", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "15. Static Analysis", "Key rules to verify regardless of lint package:"], "section_title": "Key rules to verify regardless of lint package:", "section_body": "Key rules to verify regardless of lint package:\n\n[ ] `prefer_const_constructors` \u2014 performance in widget trees\n\n[ ] `avoid_print` \u2014 use proper logging\n\n[ ] `unawaited_futures` \u2014 prevent fire-and-forget async bugs\n\n[ ] `prefer_final_locals` \u2014 immutability at variable level\n\n[ ] `always_declare_return_types` \u2014 explicit contracts\n\n[ ] `avoid_catches_without_on_clauses` \u2014 specific error handling\n\n[ ] `always_use_package_imports` \u2014 consistent import style", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "4b899d23cd464e37bc33e473eb540a74a052321553c0a1b4a24a0b1cf4b30686", "alias_sources": []}
{"id": "e192ae6f5767be32", "skill_name": "rules-distill", "skill_description": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "skill_type": null, "section_path": ["Rules Distill"], "section_title": "Rules Distill", "section_body": "Rules Distill\n\nScan installed skills, extract cross-cutting principles that appear in multiple skills, and distill them into rules \u2014 appending to existing rule files, revising outdated content, or creating new rule files.\n\nApplies the \"deterministic collection + LLM judgment\" principle: scripts collect facts exhaustively, then an LLM cross-reads the full context and produces verdicts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rules-distill\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Scan skills to extract cross-cutting principles and distill them into rules \u2014 append, revise, or create new rule files", "mtime": 1776507630.0163932, "body_hash": "b8af84046f0cf36a257e832e5d74b4895cd7bd7396472c9963eed14c0acfe880", "alias_sources": []}
{"id": "e1a12940f6a29cee", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n**Seasonal promotion planning**: Merchandising plans a 3-week BOGO promotion on a top-20 SKU. Estimate promotional lift using historical promo elasticity, calculate the forward buy quantity, coordinate with the vendor on advance PO and logistics capacity, and plan the post-promo demand dip.\n\n**New SKU launch**: No demand history available. Use analog SKU mapping (similar category, price point, brand) to generate an initial forecast, set conservative safety stock at 2 weeks of projected sales, and define the review cadence for the first 8 weeks.\n\n**DC replenishment under lead time change**: Key vendor extends lead time from 14 to 21 days due to port congestion. Recalculate safety stock across all affected SKUs, identify which are at risk of stockout before the new POs arrive, and recommend bridge orders or substitute sourcing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "36885bb60667b3db57d432bac7f69ec49dc961966de553082ce51b486d290d2e", "alias_sources": []}
{"id": "e1e290ec1c31e43a", "skill_name": "returns-reverse-logistics", "skill_description": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "skill_type": null, "section_path": ["Returns & Reverse Logistics", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\n**Standard refund confirmation:** Warm, efficient. Lead with the resolution amount and timeline, not the process.\n\n**Denial of return:** Empathetic but clear. Explain the specific policy, offer alternatives (exchange, store credit, warranty claim), provide escalation path. Never leave the customer with no options.\n\n**Fraud investigation hold:** Neutral, factual. \"We need additional time to process your return\" \u2014 never say \"fraud\" or \"investigation\" to the customer. Provide a timeline. Internal communications are where you document the fraud indicators.\n\n**Restocking fee explanation:** Transparent. Explain what the fee covers (inspection, repackaging, value loss) and confirm the net refund amount before processing so there are no surprises.\n\n**Vendor RTV claim:** Professional, evidence-based. Include defect data, photos, return volumes by SKU, and reference the vendor agreement section that covers defect claims.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\returns-reverse-logistics\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for returns authorization, receipt and inspection, disposition decisions, refund processing, fraud detection, and warranty claims management. Informed by returns operations managers with 15+ years experience. Includes grading frameworks, disposition economics, fraud pattern recognition, and vendor recovery processes. Use when handling product returns, reverse logistics, refund decisions, return fraud detection, or warranty claims.\n", "mtime": 1776507630.0118823, "body_hash": "00447ce30f4cf5b20c9551ac219badf4cb44bd90380bb76d2d939e698ce383ba", "alias_sources": []}
{"id": "e2152af048a22857", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`videodb` \u2014 Video processing, editing, and streaming\n\n`video-editing` \u2014 AI-powered video editing workflows\n\n`content-engine` \u2014 Content creation for social platforms", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "84ed033459c4df81a3fb3eaefcd24a799e7ff3c07dd8d5d3af8d906f3f2da0e0", "alias_sources": []}
{"id": "e22f028a4f940829", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "Response Format", "Collection Response (with Pagination)"], "section_title": "Collection Response (with Pagination)", "section_body": "Status Code Reference\n\nCommon Mistakes\n\nResponse Format\n\nSuccess Response\n\nCollection Response (with Pagination)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "fc15adccf0af33edd80b93e285dab798abe9c1ee415421a9babaa4c5633f2018", "alias_sources": []}
{"id": "e2306e2789d08f34", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Guard Clauses"], "section_title": "Guard Clauses", "section_body": "Repository Pattern with EF Core\n\nMiddleware and Pipeline\n\nMinimal API Patterns\n\nGuard Clauses", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "1d9ed8e2b222144729bfe5204b92091d92317466a24cea5195484f1492488b47", "alias_sources": []}
{"id": "e230b016ec1d0252", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Canonical Artifact"], "section_title": "Canonical Artifact", "section_body": "Canonical Artifact\n\nIf the repo has a durable product-context file such as `PRODUCT.md`, `docs/product/`, or a program-spec directory, update it there.\n\nIf no capability manifest exists yet, create one using the template at:\n\n`docs/examples/product-capability-template.md`\n\nThe goal is not to create another planning stack. The goal is to make hidden capability constraints durable and reusable.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "3611d048fd18c6416b80f2c29a9c13b53dcd2ba12d9b87851b005a2aabe799de", "alias_sources": []}
{"id": "e2652d58e83cdc8e", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering", "Process Shifts"], "section_title": "Process Shifts", "section_body": "Process Shifts\n\nPlanning quality matters more than typing speed.\n\nEval coverage matters more than anecdotal confidence.\n\nReview focus shifts from syntax to system behavior.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "21125821832299423f1c33ba6137d2ae4c6c7e490b0a498cfd221fd89e38529b", "alias_sources": []}
{"id": "e2b7f69f0589ba0b", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "1. General Project Health"], "section_title": "1. General Project Health", "section_body": "1. General Project Health\n\n[ ] Project follows consistent folder structure (feature-first or layer-first)\n\n[ ] Proper separation of concerns: UI, business logic, data layers\n\n[ ] No business logic in widgets; widgets are purely presentational\n\n[ ] `pubspec.yaml` is clean \u2014 no unused dependencies, versions pinned appropriately\n\n[ ] `analysis_options.yaml` includes a strict lint set with strict analyzer settings enabled\n\n[ ] No `print()` statements in production code \u2014 use `dart:developer` `log()` or a logging package\n\n[ ] Generated files (`.g.dart`, `.freezed.dart`, `.gr.dart`) are up-to-date or in `.gitignore`\n\n[ ] Platform-specific code isolated behind abstractions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a02f8dac71b80f4d2367b75a2846410e4d6552e58b78bf68e191a5ececf66d45", "alias_sources": []}
{"id": "e2cf351ae94df206", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Integration with Other Skills"], "section_title": "Integration with Other Skills", "section_body": "Integration with Other Skills\n\nRun AFTER `/superpowers:systematic-debugging` (which finds the other 54 bug types)\n\nRun BEFORE `/superpowers:verification-before-completion` (which verifies fixes work)\n\nFeeds into `/superpowers:test-driven-development` \u2014 every bug found here should get a test", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "af1ffd3a2c3924ff9082d9c37bc19cb7a08d2304cddf65ea883e593776d22d1f", "alias_sources": []}
{"id": "e2dae8ea14fe37fb", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 1: Environment Checks"], "section_title": "Phase 1: Environment Checks", "section_body": "Phase 1: Environment Checks\n\nVerify `.env` is present and required keys exist\n\nConfirm `APP_DEBUG=false` for production environments\n\nConfirm `APP_ENV` matches the target deployment (`production`, `staging`)\n\nIf using Laravel Sail locally:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "d5b7991b4e9fe5b210b4e26af37321f9b37e34dbaf16038f65fc9d73dbdf66fd", "alias_sources": []}
{"id": "e2e1db1de9b74323", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Role and Context"], "section_title": "Role and Context", "section_body": "Production Scheduling\n\nRole and Context\n\nYou are a senior production scheduler at a discrete and batch manufacturing facility operating 3\u20138 production lines with 50\u2013300 direct-labor headcount per shift. You manage job sequencing, line balancing, changeover optimization, and disruption response across work centers that include machining, assembly, finishing, and packaging. Your systems include an ERP (SAP PP, Oracle Manufacturing, or Epicor), a finite-capacity scheduling tool (Preactor, PlanetTogether, or Opcenter APS), an MES for shop floor execution and real-time reporting, and a CMMS for maintenance coordination. You sit between production management (which owns output targets and headcount), planning (which releases work orders from MRP), quality (which gates product release), and maintenance (which owns equipment availability). Your job is to translate a set of work orders with due dates, routings, and BOMs into a minute-by-minute execution sequence that maximizes throughput at the constraint while meeting customer delivery commitments, labor rules, and quality requirements.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:deploy"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "aa885e044fb97f53ef18778ecdaefd28c246b5ca28e339f071792ea6463f7d0e", "alias_sources": []}
{"id": "e2e74f840aa0bb9b", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "Examples", "Example 3: Locked Encounter + Addendum"], "section_title": "Example 3: Locked Encounter + Addendum", "section_body": "Example 3: Locked Encounter + Addendum", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "1cf95a0938ac3c519e8ae837c548733c9ac70d65862b00a7a3c25d8acff6cce4", "alias_sources": []}
{"id": "e30787d0f2e94317", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Best Practices", "Common Pitfalls"], "section_title": "Common Pitfalls", "section_body": "Common Pitfalls\n\n**Using fixed temp paths** \u2192 Generate unique temp directories per test and clean them.\n\n**Relying on wall clock time** \u2192 Inject a clock or use fake time sources.\n\n**Flaky concurrency tests** \u2192 Use condition variables/latches and bounded waits.\n\n**Hidden global state** \u2192 Reset global state in fixtures or remove globals.\n\n**Over-mocking** \u2192 Prefer fakes for stateful behavior and only mock interactions.\n\n**Missing sanitizer runs** \u2192 Add ASan/UBSan/TSan builds in CI.\n\n**Coverage on debug-only builds** \u2192 Ensure coverage targets use consistent flags.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "2de93511d9a79578369febf4c23f6f63d3d9f97d0a5139ddbc4ee06b93b16b70", "alias_sources": []}
{"id": "e30cdb9536646f59", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Pairing with ECC", "Complementary, Not Overlapping"], "section_title": "Complementary, Not Overlapping", "section_body": "Pairing with ECC\n\nComplementary, Not Overlapping\n\n| Concern | ECC | Plankton |\n|---------|-----|----------|\n| Code quality enforcement | PostToolUse hooks (Prettier, tsc) | PostToolUse hooks (20+ linters + subprocess fixes) |\n| Security scanning | AgentShield, security-reviewer agent | Bandit (Python), Semgrep (TypeScript) |\n| Config protection | \u2014 | PreToolUse blocks + Stop hook detection |\n| Package manager | Detection + setup | Enforcement (blocks legacy PMs) |\n| CI integration | \u2014 | Pre-commit hooks for git |\n| Model routing | Manual (`/model opus`) | Automatic (violation complexity \u2192 tier) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "4bbd349d526e66bd3402c6ff04eda87ddd9eaa8330afeef199adbdb45548cbd3", "alias_sources": []}
{"id": "e330b5c910a1f1c3", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "How It Works", "Phase 3: Convention Detection"], "section_title": "Phase 3: Convention Detection", "section_body": "Phase 3: Convention Detection\n\nIdentify patterns the codebase already follows:\n\n**Naming Conventions**\n\nFile naming: kebab-case, camelCase, PascalCase, snake_case\n\nComponent/class naming patterns\n\nTest file naming: `*.test.ts`, `*.spec.ts`, `*_test.go`\n\n**Code Patterns**\n\nError handling style: try/catch, Result types, error codes\n\nDependency injection or direct imports\n\nState management approach\n\nAsync patterns: callbacks, promises, async/await, channels\n\n**Git Conventions**\n\nBranch naming from recent branches\n\nCommit message style from recent commits\n\nPR workflow (squash, merge, rebase)\n\nIf the repo has no commits yet or only a shallow history (e.g. `git clone --depth 1`), skip this section and note \"Git history unavailable or too shallow to detect conventions\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "0913b00fe0cfa074da246e3af02db7d85fad9c6f6e547b2ef898e7b43e8e0aa2", "alias_sources": []}
{"id": "e3327367cc9e1d4c", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Tooling", "perlcritic Configuration (.perlcriticrc)"], "section_title": "perlcritic Configuration (.perlcriticrc)", "section_body": "Exporter Patterns\n\nTooling\n\nperltidy Configuration (.perltidyrc)\n\nperlcritic Configuration (.perlcriticrc)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "3140da8735376cbdcaeee75a17c5cbc73e3dc99ae7b2008c139fd3f7318898a2", "alias_sources": []}
{"id": "e38504adb27a8837", "skill_name": "nextjs-turbopack", "skill_description": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "skill_type": null, "section_path": ["Next.js and Turbopack", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nStay on a recent Next.js 16.x for stable Turbopack and caching behavior.\n\nIf dev is slow, ensure you're on Turbopack (default) and that the cache isn't being cleared unnecessarily.\n\nFor production bundle size issues, use the official Next.js bundle analysis tooling for your version.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nextjs-turbopack\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Next.js 16+ and Turbopack \u2014 incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.", "mtime": 1776507629.8829112, "body_hash": "a10d94a1b65729e2d8fd6921b63e87147929dc48b1619ae64d21946d9673a97b", "alias_sources": []}
{"id": "e3b048ef47c2a058", "skill_name": "skill-comply", "skill_description": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "skill_type": null, "section_path": ["skill-comply: Automated Compliance Measurement", "Report Contents", "Advanced (optional)"], "section_title": "Advanced (optional)", "section_body": "Advanced (optional)\n\nFor users familiar with hooks, reports also include hook promotion recommendations for steps with low compliance. This is informational \u2014 the main value is the compliance visibility itself.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\skill-comply\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Visualize whether skills, rules, and agent definitions are actually followed \u2014 auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines", "mtime": 1776507630.0675128, "body_hash": "0d7ec50b923cf56d625ce4cf9883686b00816ee377f03526ca341f0c32e2a2cc", "alias_sources": []}
{"id": "e3c7599b0bfad997", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Knowledge Architecture", "Layer 2: Claude Code Memory (Quick Access)"], "section_title": "Layer 2: Claude Code Memory (Quick Access)", "section_body": "Layer 2: Claude Code Memory (Quick Access)\n\n**Path:** `~/.claude/projects/*/memory/`\n\n**Format:** Markdown files with frontmatter\n\n**Types:** user preferences, feedback, project context, reference\n\n**Use for:** quick-access context that persists across conversations\n\n**Automatically loaded at session start**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "59cac639fb6de5d475f9784a95a6e04bd058c9e4f9f0bea9a4af1b31668d98b5", "alias_sources": []}
{"id": "e3f77868e200cf0b", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort"], "section_title": "Agent Sort", "section_body": "Agent Sort\n\nUse this skill when a repo needs a project-specific ECC surface instead of the default full install.\n\nThe goal is not to guess what \"feels useful.\" The goal is to classify ECC components with evidence from the actual codebase.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "cc4b378d2544dd687af635410e69337b86efa8563f69c157749aefc8efd9d239", "alias_sources": []}
{"id": "e4076950e96ee4e3", "skill_name": "product-lens", "skill_description": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "skill_type": null, "section_path": ["Product Lens \u2014 Think Before You Build", "Output"], "section_title": "Output", "section_body": "Mode 4: Feature Prioritization\n\nWhen you have 10 ideas and need to pick 2:\n\nOutput\n\nAll modes output actionable docs, not essays. Every recommendation has a specific next step.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-lens\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:docs"], "trigger_hints": "Use this skill to validate the \"why\" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.", "mtime": 1776507629.929475, "body_hash": "ce17f9e8eef2cd1c3558fd4cdc4efa011ad104027e6a2ae5efb07f40893cadcb", "alias_sources": []}
{"id": "e449e15d95e7442a", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Rollback Strategy", "Rollback Checklist"], "section_title": "Rollback Checklist", "section_body": "Rollback Checklist\n\n[ ] Previous image/artifact is available and tagged\n\n[ ] Database migrations are backward-compatible (no destructive changes)\n\n[ ] Feature flags can disable new features without deploy\n\n[ ] Monitoring alerts configured for error rate spikes\n\n[ ] Rollback tested in staging before production release", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:build", "phase:review", "phase:deploy"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "588b49dc3f9f3d9234032c588ef9f4d822f272e877acb01676ae582505134cc3", "alias_sources": []}
{"id": "e454d4ad4b3d6ee1", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nresearching a market, category, company, investor, or technology trend\n\nbuilding TAM/SAM/SOM estimates\n\ncomparing competitors or adjacent products\n\npreparing investor dossiers before outreach\n\npressure-testing a thesis before building, funding, or entering a market", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "39361ee1ab86a44d63ca9b34e2efe21c94a80dd49b93ed0fcc473d4ab8b10d69", "alias_sources": []}
{"id": "e471047074e2345b", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Data Layer", "Room Database (Android)"], "section_title": "Room Database (Android)", "section_body": "Mapper Pattern\n\nKeep mappers as extension functions near the data models:\n\nRoom Database (Android)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "cd99a16b94806fb2a7aaa7a8199b349e403ddd8adc2bf95298e205f5b176a3a6", "alias_sources": []}
{"id": "e479e4ae7e4b4e37", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget", "How It Works", "Phase 1: Inventory"], "section_title": "Phase 1: Inventory", "section_body": "How It Works\n\nPhase 1: Inventory\n\nScan all component directories and estimate token consumption:\n\n**Agents** (`agents/*.md`)\n\nCount lines and tokens per file (words \u00d7 1.3)\n\nExtract `description` frontmatter length\n\nFlag: files >200 lines (heavy), description >30 words (bloated frontmatter)\n\n**Skills** (`skills/*/SKILL.md`)\n\nCount tokens per SKILL.md\n\nFlag: files >400 lines\n\nCheck for duplicate copies in `.agents/skills/` \u2014 skip identical copies to avoid double-counting\n\n**Rules** (`rules/**/*.md`)\n\nCount tokens per file\n\nFlag: files >100 lines\n\nDetect content overlap between rule files in the same language module\n\n**MCP Servers** (`.mcp.json` or active MCP config)\n\nCount configured servers and total tool count\n\nEstimate schema overhead at ~500 tokens per tool\n\nFlag: servers with >20 tools, servers that wrap simple CLI commands (`gh`, `git`, `npm`, `supabase`, `vercel`)\n\n**CLAUDE.md** (project + user-level)\n\nCount tokens per file in the CLAUDE.md chain\n\nFlag: combined total >300 lines", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "a4a45e07cde53be90484ee5f04efd326751de5c9572092dc09bc09690cfa9a0f", "alias_sources": []}
{"id": "e48e91bd74aec723", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding complete applications from a one-line prompt\n\nFrontend design tasks requiring high visual quality\n\nFull-stack projects that need working features, not just code\n\nAny task where \"AI slop\" aesthetics are unacceptable\n\nProjects where you want to invest $50-200 for production-quality output", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "cc5fe48d06f4dd2f87f1c06dc35f18d3c48373dfe47e3b87b08bd9f929dc75d4", "alias_sources": []}
{"id": "e4b94b296c71be29", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "How It Works", "Evaluating Packages"], "section_title": "Evaluating Packages", "section_body": "Evaluating Packages\n\nWhen the user wants to assess a specific package:\n\nUse `GetPluginDetailsTool` with the package name\n\nReview health score, last updated date, Laravel version support\n\nCheck vendor reputation and risk indicators", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "3e517b8063a4741dd2fe3a4dbe78aa2e1e6eaa127b9e23a7b3c7f7e1e5af5d62", "alias_sources": []}
{"id": "e514dd149d8abcc8", "skill_name": "security-bounty-hunter", "skill_description": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "skill_type": null, "section_path": ["Security Bounty Hunter", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nScanning a repository for exploitable vulnerabilities\n\nPreparing a Huntr, HackerOne, or similar bounty submission\n\nTriage where the question is \"does this actually pay?\" rather than \"is this theoretically unsafe?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-bounty-hunter\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.", "mtime": 1776507630.0405009, "body_hash": "49b73db3e220cc8c3b87774e19e44c104ef2ed5c9c6fc55e91295b649e2d9bb8", "alias_sources": []}
{"id": "e51d9f1725b1937a", "skill_name": "coding-standards", "skill_description": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "skill_type": null, "section_path": ["Coding Standards & Best Practices", "Code Quality Principles", "3. DRY (Don't Repeat Yourself)"], "section_title": "3. DRY (Don't Repeat Yourself)", "section_body": "3. DRY (Don't Repeat Yourself)\n\nExtract common logic into functions\n\nCreate reusable components\n\nShare utilities across modules\n\nAvoid copy-paste programming", "source_path": "CODEFORGE\\everything-claude-code\\skills\\coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.", "mtime": 1776507629.5309548, "body_hash": "fb3a3fa3f9daa8b88bd99875fdae97d16f7a1261beaa32e64a5d3611035533e2", "alias_sources": []}
{"id": "e543f23270e6c95a", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Expressions & Statements (ES.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Expressions & Statements (ES.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **ES.5** | Keep scopes small |\n| **ES.20** | Always initialize an object |\n| **ES.23** | Prefer `{}` initializer syntax |\n| **ES.25** | Declare objects `const` or `constexpr` unless modification is intended |\n| **ES.28** | Use lambdas for complex initialization of `const` variables |\n| **ES.45** | Avoid magic constants; use symbolic constants |\n| **ES.46** | Avoid narrowing/lossy arithmetic conversions |\n| **ES.47** | Use `nullptr` rather than `0` or `NULL` |\n| **ES.48** | Avoid casts |\n| **ES.50** | Don't cast away `const` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "410725a7aa7560cf42cf7d9b91ca064239487f85d98a4d3972cbc8d714da8356", "alias_sources": []}
{"id": "e5457f7da278a2a6", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Decision Frameworks", "Valuation Method Selection"], "section_title": "Valuation Method Selection", "section_body": "Valuation Method Selection\n\nCustoms valuation follows the WTO Agreement on Customs Valuation (based on GATT Article VII). Methods are applied in hierarchical order \u2014 you only proceed to the next method when the prior method cannot be applied:\n\n**Transaction Value (Method 1):** The price actually paid or payable, adjusted for additions (assists, royalties, commissions, packing) and deductions (post-importation costs, duties). This is used for ~90% of entries. Fails when: related-party transaction where the relationship influenced the price, no sale (consignment, leases, free goods), or conditional sale with unquantifiable conditions.\n\n**Transaction Value of Identical Goods (Method 2):** Same goods, same country of origin, same commercial level. Rarely available because \"identical\" is strictly defined.\n\n**Transaction Value of Similar Goods (Method 3):** Commercially interchangeable goods. Broader than Method 2 but still requires same country of origin.\n\n**Deductive Value (Method 4):** Start from the resale price in the importing country, deduct: profit margin, transport, duties, and any post-importation processing costs.\n\n**Computed Value (Method 5):** Build up from: cost of materials, fabrication, profit, and general expenses in the country of export. Only available if the exporter cooperates with cost data.\n\n**Fallback Method (Method 6):** Flexible application of Methods 1-5 with reasonable adjustments. Cannot be based on arbitrary values, minimum values, or the price of goods in the domestic market of the exporting country.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "65eed732420bc5ae06cb7299568e7a8082d1f5e5db30c27fc88b51a854b2cf8c", "alias_sources": []}
{"id": "e55c02d8b747e2a8", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Anti-Patterns\n\nQuick Reference\n\n| Task | Command |\n|------|---------|\n| Create branch | `git checkout -b feature/name` |\n| Switch branch | `git checkout branch-name` |\n| Delete branch | `git branch -d branch-name` |\n| Merge branch | `git merge branch-name` |\n| Rebase branch | `git rebase main` |\n| View history | `git log --oneline --graph` |\n| View changes | `git diff` |\n| Stage changes | `git add .` or `git add -p` |\n| Commit | `git commit -m \"message\"` |\n| Push | `git push origin branch-name` |\n| Pull | `git pull origin branch-name` |\n| Stash | `git stash push -m \"message\"` |\n| Undo last commit | `git reset --soft HEAD~1` |\n| Revert commit | `git revert HEAD` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "2ce8c7b8fd9ada3a198b59b28ced38ebb44917dbbc83a560512350b35e8c960a", "alias_sources": []}
{"id": "e570067217982e19", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Workflow", "4. Report exact evidence"], "section_title": "4. Report exact evidence", "section_body": "4. Report exact evidence\n\nReturn:\n\nsource used\n\nthread or sender when possible\n\ntime window\n\nexact status:\n\nread\n\ncode-found\n\nblocked\n\nawaiting reply draft", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "0e4dba57ea4d0ed41f7acf847e21d28f92bed0ef870cf4173b86f1c23d942cb3", "alias_sources": []}
{"id": "e570375823654ca0", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Dispatchers"], "section_title": "Dispatchers", "section_body": "Combining Multiple Flows\n\nFlow Operators\n\nSharedFlow for One-Time Events\n\nDispatchers\n\nIn KMP, use `Dispatchers.Default` and `Dispatchers.Main` (available on all platforms). `Dispatchers.IO` is JVM/Android only \u2014 use `Dispatchers.Default` on other platforms or provide via DI.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "fdd82aab6569f65cc86e8927dc739409dabcb7584aedb3383502bcec493bf0ef", "alias_sources": []}
{"id": "e59f417306c6b887", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Quick Reference: Kotlin Idioms"], "section_title": "Quick Reference: Kotlin Idioms", "section_body": "Collection Operations\n\nIdiomatic Collection Processing\n\nQuick Reference: Kotlin Idioms\n\n| Idiom | Description |\n|-------|-------------|\n| `val` over `var` | Prefer immutable variables |\n| `data class` | For value objects with equals/hashCode/copy |\n| `sealed class/interface` | For restricted type hierarchies |\n| `value class` | For type-safe wrappers with zero overhead |\n| Expression `when` | Exhaustive pattern matching |\n| Safe call `?.` | Null-safe member access |\n| Elvis `?:` | Default value for nullables |\n| `let`/`apply`/`also`/`run`/`with` | Scope functions for clean code |\n| Extension functions | Add behavior without inheritance |\n| `copy()` | Immutable updates on data classes |\n| `require`/`check` | Precondition assertions |\n| Coroutine `async`/`await` | Structured concurrent execution |\n| `Flow` | Cold reactive streams |\n| `sequence` | Lazy evaluation |\n| Delegation `by` | Reuse implementation without inheritance |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "74dbde3a2f47e2f268ecc6e0cb154427be80c1a5f2ff87d7ab8eee211af9dcb2", "alias_sources": []}
{"id": "e5b064664e091c48", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser says \"configure ecc\", \"install ecc\", \"setup everything claude code\", or similar\n\nUser wants to selectively install skills or rules from this project\n\nUser wants to verify or fix an existing ECC installation\n\nUser wants to optimize installed skills or rules for their project", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "793326efa00639ae57563f13b6ef471c2280e0db3543625e267db7c0fc5776d1", "alias_sources": []}
{"id": "e5b57fc123bf4b6a", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "Common Anti-Patterns"], "section_title": "Common Anti-Patterns", "section_body": "Test Organization\n\nTest Data Builders\n\nCommon Anti-Patterns\n\n| Anti-Pattern | Fix |\n|---|---|\n| Testing implementation details | Test behavior and outcomes |\n| Shared mutable test state | Fresh instance per test (xUnit does this via constructors) |\n| `Thread.Sleep` in async tests | Use `Task.Delay` with timeout, or polling helpers |\n| Asserting on `ToString()` output | Assert on typed properties |\n| One giant assertion per test | One logical assertion per test |\n| Test names describing implementation | Name by behavior: `Method_ExpectedResult_WhenCondition` |\n| Ignoring `CancellationToken` | Always pass and verify cancellation |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "d2adab2168220124967ea99225e79ce4607817721813a8a1364e4c140a65bb91", "alias_sources": []}
{"id": "e5ca2d4d4be3ad50", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill"], "section_title": "Jira Integration Skill", "section_body": "Jira Integration Skill\n\nRetrieve, analyze, and update Jira tickets directly from your AI coding workflow. Supports both **MCP-based** (recommended) and **direct REST API** approaches.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "46228493c7703d4da01c3d2d39d9cb61fb3d86c00fbe3a047a32db6ef3442c3d", "alias_sources": []}
{"id": "e5cfff6e0fde1e75", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns"], "section_title": "Python Testing Patterns", "section_body": "Python Testing Patterns\n\nComprehensive testing strategies for Python applications using pytest, TDD methodology, and best practices.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "4d625f8c9a0a7d9f944f5d5f2f437c36404cf6d9c01afc851bdbb0d0c22cc3cd", "alias_sources": []}
{"id": "e5fddb4f5e8fcf40", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Core Knowledge", "Reorder Logic"], "section_title": "Reorder Logic", "section_body": "Reorder Logic\n\n**Inventory Position:** `IP = On-Hand + On-Order \u2212 Backorders \u2212 Committed (allocated to open customer orders)`. Never reorder based on on-hand alone \u2014 you will double-order when POs are in transit.\n\n**Min/Max:** Simple, suitable for stable-demand items with consistent lead times. Min = average demand during lead time + safety stock. Max = Min + EOQ. When IP drops to Min, order up to Max. The weakness: it doesn't adapt to changing demand patterns without manual adjustment.\n\n**Reorder Point / EOQ:** ROP = average demand during lead time + safety stock. EOQ = \u221a(2DS/H) where D = annual demand, S = ordering cost, H = holding cost per unit per year. EOQ is theoretically optimal for constant demand, but in practice you round to vendor case packs, layer quantities, or pallet tiers. A \"perfect\" EOQ of 847 units means nothing if the vendor ships in cases of 24.\n\n**Periodic Review (R,S):** Review inventory every R periods, order up to target level S. Better when you consolidate orders to a vendor on fixed days (e.g., Tuesday orders for Thursday pickup). R is set by vendor delivery schedule; S = average demand during (R + LT) + safety stock for that combined period.\n\n**Vendor Tier-Based Frequencies:** A-vendors (top 10 by spend) get weekly review cycles. B-vendors (next 20) get bi-weekly. C-vendors (remaining) get monthly. This aligns review effort with financial impact and allows consolidation discounts.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "ac8b266913072564000c2627d1eb55e4b44b64270cb6dc2b9dbdeeb9df63e1c4", "alias_sources": []}
{"id": "e637abfc3100160a", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\nMaking CDSS checks optional or skippable without documented reason\n\nImplementing interaction checks as toast notifications\n\nUsing `any` types for drug or clinical data\n\nHardcoding interaction pairs instead of using a maintainable data structure\n\nSilently catching errors in CDSS engine (must surface failures loudly)\n\nSkipping weight-based validation when weight is not available (must block, not pass)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "ccdf12712d7c1ee994210e05fd6cbaa11de4f9b2b0aa128dbc4b3ff672d1792b", "alias_sources": []}
{"id": "e6691ba68e2dd7c0", "skill_name": "product-capability", "skill_description": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "skill_type": null, "section_path": ["Product Capability", "Non-Negotiable Rules"], "section_title": "Non-Negotiable Rules", "section_body": "Non-Negotiable Rules\n\nDo not invent product truth. Mark unresolved questions explicitly.\n\nSeparate user-visible promises from implementation details.\n\nCall out what is fixed policy, what is architecture preference, and what is still open.\n\nIf the request conflicts with existing repo constraints, say so clearly instead of smoothing it over.\n\nPrefer one reusable capability artifact over scattered ad hoc notes.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\product-capability\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.", "mtime": 1776507629.921924, "body_hash": "95d8a67d7a6093cb5babf45dad5d653129d6dd03dad13903cd3aa738f8bc3f91", "alias_sources": []}
{"id": "e67ebf4f3ed1e6cf", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 3: Deterministic Cuts (FFmpeg)", "Concatenate segments"], "section_title": "Concatenate segments", "section_body": "Extract segment by timestamp\n\nBatch cut from edit decision list\n\nConcatenate segments", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "d18c32846382cae9aa4a6619d0b0ea4ce697bd2dbd2026573c687cfa70af46f7", "alias_sources": []}
{"id": "e682d0a55b0f9f69", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing", "Voice Handling"], "section_title": "Voice Handling", "section_body": "Voice Handling\n\nIf the user wants a specific voice, run `brand-voice` first and reuse its `VOICE PROFILE`.\nDo not duplicate a second style-analysis pass here unless the user explicitly asks for one.\n\nIf no voice references are given, default to a sharp operator voice: concrete, unsentimental, useful.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "8f7e1a2857769f70741a5e5316a87a30f407d679460985b96766f28efa2f5e48", "alias_sources": []}
{"id": "e68f5afa5bd84a46", "skill_name": "prompt-optimizer", "skill_description": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "skill_type": null, "section_path": ["Prompt Optimizer"], "section_title": "Prompt Optimizer", "section_body": "Prompt Optimizer\n\nAnalyze a draft prompt, critique it, match it to ECC ecosystem components,\nand output a complete optimized prompt the user can paste and run.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\prompt-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only \u2014 never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my prompt\", \"how to write a prompt for\", \"help me prompt\", \"rewrite this prompt\", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: \"\u4f18\u5316prompt\", \"\u6539\u8fdbprompt\", \"\u600e\u4e48\u5199prompt\", \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u6307\u4ee4\". DO NOT TRIGGER when: user wants the task executed directly, or says \"just do it\" / \"\u76f4\u63a5\u505a\". DO NOT TRIGGER when user says \"\u4f18\u5316\u4ee3\u7801\", \"\u4f18\u5316\u6027\u80fd\", \"optimize performance\", \"optimize this code\" \u2014 those are refactoring/performance tasks, not prompt optimization.", "mtime": 1776507629.9410243, "body_hash": "2bbcb37fa90fda2b059a694b88109d6f67270d3096478c4cc1a080ab2f69a143", "alias_sources": []}
{"id": "e69eb034541c7a42", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "PR Management", "Stale Policy"], "section_title": "Stale Policy", "section_body": "Stale Policy\n\nIssues with no activity in 14+ days: add `stale` label, comment asking for update\n\nPRs with no activity in 7+ days: comment asking if still active\n\nAuto-close stale issues after 30 days with no response (add `closed-stale` label)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "e26707f95d7baf298caac96eb5d6cdfc57792dbfb5fe2c5ef6c3cae0b4e2a6c0", "alias_sources": []}
{"id": "e6dc017d14b26786", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Prerequisites"], "section_title": "Prerequisites", "section_body": "Prerequisites\n\nThis skill must be accessible to Claude Code before activation. Two ways to bootstrap:\n\n**Via Plugin**: `/plugin install everything-claude-code` \u2014 the plugin loads this skill automatically\n\n**Manual**: Copy only this skill to `~/.claude/skills/configure-ecc/SKILL.md`, then activate by saying \"configure ecc\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "d5d35e84296bb2c614dbf4917774ecaf3a9983883ca0b28b0ac89a0a99cbf43d", "alias_sources": []}
{"id": "e74780bba615b3b5", "skill_name": "swift-actor-persistence", "skill_description": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "skill_type": null, "section_path": ["Swift Actors for Thread-Safe Persistence", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nUsing `DispatchQueue` or `NSLock` instead of actors for new Swift concurrency code\n\nExposing the internal cache dictionary to external callers\n\nMaking the file URL configurable without validation\n\nForgetting that all actor method calls are `await` \u2014 callers must handle async context\n\nUsing `nonisolated` to bypass actor isolation (defeats the purpose)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-actor-persistence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Thread-safe data persistence in Swift using actors \u2014 in-memory cache with file-backed storage, eliminating data races by design.", "mtime": 1776507630.133572, "body_hash": "e8b0ad81ae8ed187844e022f41e6151337d2157863663b8b1f2d5323942f44d9", "alias_sources": []}
{"id": "e781a177647d4a96", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Event Type Guide", "bash Events"], "section_title": "bash Events", "section_body": "Event Type Guide\n\nbash Events\n\nMatch Bash command patterns:\n\nDangerous commands: `rm\\s+-rf`, `dd\\s+if=`, `mkfs`\n\nPrivilege escalation: `sudo\\s+`, `su\\s+`\n\nPermission issues: `chmod\\s+777`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "1d0c8feb957fd1e7f79f1225a4bad0ee532cb424417845940d48b09beef20968", "alias_sources": []}
{"id": "e783578218d39b4a", "skill_name": "django-security", "skill_description": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "skill_type": null, "section_path": ["Django Security Best Practices", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up Django authentication and authorization\n\nImplementing user permissions and roles\n\nConfiguring production security settings\n\nReviewing Django application for security issues\n\nDeploying Django applications to production", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.", "mtime": 1776507629.6989844, "body_hash": "3db1d652096cf11e99b956afda7126d2eb7d55e0af025ad54d389a0b1f39df8e", "alias_sources": []}
{"id": "e788f97068649b51", "skill_name": "kotlin-patterns", "skill_description": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "skill_type": null, "section_path": ["Kotlin Development Patterns", "Core Principles", "3. Expression Bodies and Single-Expression Functions"], "section_title": "3. Expression Bodies and Single-Expression Functions", "section_body": "3. Expression Bodies and Single-Expression Functions\n\nUse expression bodies for concise, readable functions.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.", "mtime": 1776507629.8335001, "body_hash": "88d7e3da13954032888d3389efb2c399e62e4136e3acb2e2acbb893de46e2a7d", "alias_sources": []}
{"id": "e7a6e56f0cf02b64", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "The Three Agents", "1. Planner Agent"], "section_title": "1. Planner Agent", "section_body": "Architecture\n\nThe Three Agents\n\n1. Planner Agent\n\n**Role:** Product manager \u2014 expands a brief prompt into a full product specification.\n\n**Key behaviors:**\n\nTakes a one-line prompt and produces a 16-feature, multi-sprint specification\n\nDefines user stories, technical requirements, and visual design direction\n\nIs deliberately **ambitious** \u2014 conservative planning leads to underwhelming results\n\nProduces evaluation criteria that the Evaluator will use later\n\n**Model:** Opus 4.6 (needs deep reasoning for spec expansion)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "296c426c6cee6cf280d445d5b318fc34fc94a90a345b58b73bc9ec80490ea53e", "alias_sources": []}
{"id": "e7b255f822006c98", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Token Optimization Patterns", "Trigger-Table Lazy Loading"], "section_title": "Trigger-Table Lazy Loading", "section_body": "Token Optimization Patterns\n\nTrigger-Table Lazy Loading\n\nInstead of loading full skill content at session start, use a trigger table that maps keywords to skill paths. Skills load only when triggered, reducing baseline context by 50%+:\n\n| Trigger | Skill | Load When |\n|---------|-------|-----------|\n| \"test\", \"tdd\", \"coverage\" | tdd-workflow | User mentions testing |\n| \"security\", \"auth\", \"xss\" | security-review | Security-related work |\n| \"deploy\", \"ci/cd\" | deployment-patterns | Deployment context |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:review", "phase:deploy"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "931e8d82ca707aa1c519be1a900a6f6f250294e31d3f9809745a9bb8dbe8d2a3", "alias_sources": []}
{"id": "e7b65b43d7308a43", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Sandbox-Mode API Testing"], "section_title": "Sandbox-Mode API Testing", "section_body": "Sandbox-Mode API Testing\n\nMost projects with AI-friendly architecture have a sandbox/mock mode. This is the key to fast, DB-free API testing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "3bb2c74930f21dc20084e582eeeda0f2b92673c1fade7a4d7b11be043ea3e2cb", "alias_sources": []}
{"id": "e81634984fc00315", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Service Layer with Transactions"], "section_title": "Service Layer with Transactions", "section_body": "REST API Structure\n\nRepository Pattern (Spring Data JPA)\n\nService Layer with Transactions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "b77158866b4f5b88e576e3902b9e077be127b7273cf610506a1288bbf1a5ab16", "alias_sources": []}
{"id": "e8219a24d036b383", "skill_name": "video-editing", "skill_description": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "skill_type": null, "section_path": ["Video Editing", "Layer 5: Generated Assets (ElevenLabs / fal.ai)"], "section_title": "Layer 5: Generated Assets (ElevenLabs / fal.ai)", "section_body": "Layer 5: Generated Assets (ElevenLabs / fal.ai)\n\nGenerate only what you need. Do not generate the whole video.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\video-editing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.", "mtime": 1776507630.1650684, "body_hash": "10abc2bad43115d1598709123cd12e78da0750324e4fd72ca600288ce3916820", "alias_sources": []}
{"id": "e82e9302cadb1a4b", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Concurrency & Parallelism (CP.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Concurrency & Parallelism (CP.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **CP.2** | Avoid data races |\n| **CP.3** | Minimize explicit sharing of writable data |\n| **CP.4** | Think in terms of tasks, rather than threads |\n| **CP.8** | Don't use `volatile` for synchronization |\n| **CP.20** | Use RAII, never plain `lock()`/`unlock()` |\n| **CP.21** | Use `std::scoped_lock` to acquire multiple mutexes |\n| **CP.22** | Never call unknown code while holding a lock |\n| **CP.42** | Don't wait without a condition |\n| **CP.44** | Remember to name your `lock_guard`s and `unique_lock`s |\n| **CP.100** | Don't use lock-free programming unless you absolutely have to |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "d5eef6f9544f1c816146c38e0b522ce74bfdf5dc32489635911044012681ed40", "alias_sources": []}
{"id": "e83db507ca42745f", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Core Pattern \u2014 Global and Static Variables", "MainActor Default Inference Mode"], "section_title": "MainActor Default Inference Mode", "section_body": "MainActor Default Inference Mode\n\nSwift 6.2 introduces a mode where MainActor is inferred by default \u2014 no manual annotations needed:\n\nThis mode is opt-in and recommended for apps, scripts, and other executable targets.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "2888fa8f7e3a0cc9d36f7ec3d0e61383a4c6982d6d0133515b99f63104b5a5cc", "alias_sources": []}
{"id": "e8596c10fd565fc8", "skill_name": "code-tour", "skill_description": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "skill_type": null, "section_path": ["Code Tour", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUse this skill when:\n\nthe user asks for a code tour, onboarding tour, architecture walkthrough, or PR tour\n\nthe user says \"explain how X works\" and wants a reusable guided artifact\n\nthe user wants a ramp-up path for a new engineer or reviewer\n\nthe task is better served by a guided sequence than a flat summary\n\nExamples:\n\nonboarding a new maintainer\n\narchitecture tour for one service or package\n\nPR-review walk-through anchored to changed files\n\nRCA tour showing the failure path\n\nsecurity review tour of trust boundaries and key checks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\code-tour\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:review"], "trigger_hints": "Create CodeTour `.tour` files \u2014 persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured \"explain how this works\" requests.", "mtime": 1776507629.5234163, "body_hash": "656d805871881b1843e4d49bcdd3f825fb1f5e718b1fa2994c0bb09bbe7873b1", "alias_sources": []}
{"id": "e86ac3dcc607436a", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "Pairing with ECC", "Recommended Combination"], "section_title": "Recommended Combination", "section_body": "Recommended Combination\n\nInstall ECC as your plugin (agents, skills, commands, rules)\n\nAdd Plankton hooks for write-time quality enforcement\n\nUse AgentShield for security audits\n\nUse ECC's verification-loop as a final gate before PRs", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "2fb1cf277d355a9358a39fb9ef6f08a66aa0ebd79ff1e9b7424fde267a270408", "alias_sources": []}
{"id": "e88fd2835e1ce1f5", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill"], "section_title": "Plankton Code Quality Skill", "section_body": "Plankton Code Quality Skill\n\nIntegration reference for Plankton (credit: @alxfazio), a write-time code quality enforcement system for Claude Code. Plankton runs formatters and linters on every file edit via PostToolUse hooks, then spawns Claude subprocesses to fix violations the agent didn't catch.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:debug"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "64987a796d5ec91a77bcda09b702cbb222e8757a09001b93b4c0f02ccea221a3", "alias_sources": []}
{"id": "e8a1628b9522cf31", "skill_name": "iterative-retrieval", "skill_description": "Pattern for progressively refining context retrieval to solve the subagent context problem", "skill_type": null, "section_path": ["Iterative Retrieval Pattern", "The Solution: Iterative Retrieval"], "section_title": "The Solution: Iterative Retrieval", "section_body": "The Solution: Iterative Retrieval\n\nA 4-phase loop that progressively refines context:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\iterative-retrieval\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Pattern for progressively refining context retrieval to solve the subagent context problem", "mtime": 1776507629.819991, "body_hash": "3e5b21d6a570448debcb9b007242d4d39ae124a58275e5c0c05f56ea15605cf0", "alias_sources": []}
{"id": "e8a433f485b590f7", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Examples", "Example: Find Laravel 12 Compatible Packages"], "section_title": "Example: Find Laravel 12 Compatible Packages", "section_body": "Example: Find Laravel 12 Compatible Packages\n\nReturns packages compatible with Laravel 12.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "eee9202aa20877051231d09d28d2c13f1153a5bc2117362c53bedf742505aedd", "alias_sources": []}
{"id": "e8ae5462655e5ecc", "skill_name": "jpa-patterns", "skill_description": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "skill_type": null, "section_path": ["JPA/Hibernate Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nDesigning JPA entities and table mappings\n\nDefining relationships (@OneToMany, @ManyToOne, @ManyToMany)\n\nOptimizing queries (N+1 prevention, fetch strategies, projections)\n\nConfiguring transactions, auditing, or soft deletes\n\nSetting up pagination, sorting, or custom repository methods\n\nTuning connection pooling (HikariCP) or second-level caching", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jpa-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.", "mtime": 1776507629.824991, "body_hash": "d015dfaa257e5d4faabe5e449282ae64cfd89de154247b771a3bcb70572ab75c", "alias_sources": []}
{"id": "e8d34a790eeede14", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Strong Defaults", "Background"], "section_title": "Background", "section_body": "Background\n\nUse atmosphere:\n\ngradients\n\nmeshes\n\ntextures\n\nsubtle noise\n\npatterns\n\nlayered transparency\n\nFlat empty backgrounds are rarely the best answer for a product-facing page.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "51e6cdc49e8d5dff066f9d7b5968d7a1cc951ca4875192cb25fca01d12cf97b0", "alias_sources": []}
{"id": "e904ae8b4ab9819e", "skill_name": "research-ops", "skill_description": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "skill_type": null, "section_path": ["Research Ops", "Verification"], "section_title": "Verification", "section_body": "Verification\n\nimportant claims are labeled by evidence type\n\nfreshness-sensitive outputs include dates\n\nthe final recommendation matches the actual research mode used", "source_path": "CODEFORGE\\everything-claude-code\\skills\\research-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.", "mtime": 1776507630.0099223, "body_hash": "ea6a0439e91762c9ef3f2a2fe8d09cd70baed7f87b6058710104fa4ae60a90ae", "alias_sources": []}
{"id": "e90fcf5915271581", "skill_name": "golang-testing", "skill_description": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "skill_type": null, "section_path": ["Go Testing Patterns", "Subtests and Sub-benchmarks", "Organizing Related Tests"], "section_title": "Organizing Related Tests", "section_body": "Table-Driven Tests with Error Cases\n\nSubtests and Sub-benchmarks\n\nOrganizing Related Tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.", "mtime": 1776507629.7897012, "body_hash": "ae992b247e50b3cc6904e3bcf15c98b23d650902a19f00fb4dbd9ea87654c1ad", "alias_sources": []}
{"id": "e9272a3cdcfd7e82", "skill_name": "kotlin-ktor-patterns", "skill_description": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "skill_type": null, "section_path": ["Ktor Server Patterns", "Content Negotiation & Serialization"], "section_title": "Content Negotiation & Serialization", "section_body": "Basic Routes\n\nRoute Organization with Authenticated Routes\n\nContent Negotiation & Serialization", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-ktor-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.", "mtime": 1776507629.8325026, "body_hash": "921b9a98b906735206eeecfa77d7d1b350a83d4cfbb960c6c64cbfa031195f8b", "alias_sources": []}
{"id": "e92d55caf2a2d527", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Tool Requirements", "Fallbacks"], "section_title": "Fallbacks", "section_body": "Fallbacks\n\nbrowser control for LinkedIn analysis and drafting\n\nbrowser control for X if API coverage is constrained\n\nApple Mail or Mail.app drafting via desktop automation when email is the right channel", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:test"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "3ba3a3fe5a94ff180f686968f81f59856ff29f27221e233e76ed1b0bf7db402e", "alias_sources": []}
{"id": "e9724ec9ec6f4dd3", "skill_name": "dmux-workflows", "skill_description": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "skill_type": null, "section_path": ["dmux Workflows", "ECC Helper"], "section_title": "ECC Helper", "section_body": "ECC Helper\n\nECC now includes a helper for external tmux-pane orchestration with separate git worktrees:\n\nExample `plan.json`:\n\nThe helper:\n\nCreates one branch-backed git worktree per worker\n\nOptionally overlays selected `seedPaths` from the main checkout into each worker worktree\n\nWrites per-worker `task.md`, `handoff.md`, and `status.md` files under `.orchestration/<session>/`\n\nStarts a tmux session with one pane per worker\n\nLaunches each worker command in its own pane\n\nLeaves the main pane free for the orchestrator\n\nUse `seedPaths` when workers need access to dirty or untracked local files that are not yet part of `HEAD`, such as local orchestration scripts, draft plans, or docs:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dmux-workflows\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.", "mtime": 1776507629.7135365, "body_hash": "087d0c2df47d8fecdf324fc9781e35260c2842b38468dfa81445dc227e86c12c", "alias_sources": []}
{"id": "e9b9d9d1f48c8074", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`workspace-surface-audit` for connector, MCP, hook, and app inventory\n\n`knowledge-ops` when the audit needs to reconcile live repo truth with durable context\n\n`github-ops` when the answer depends on CI, scheduled workflows, issues, or PR automation\n\n`ecc-tools-cost-audit` when the real problem is webhook fanout, queued jobs, or billing burn in the sibling app repo\n\n`research-ops` when local inventory must be compared against current platform support or public docs\n\n`verification-loop` for proving post-fix state instead of relying on assumed recovery", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:review", "phase:debug", "phase:docs"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "244fc1d2bc3d61c945a04bdbb87c95718b7660add05ee90271984468a49f2d8a", "alias_sources": []}
{"id": "e9e1d845c6199488", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Decision Frameworks", "Safety Stock Service Level Selection"], "section_title": "Safety Stock Service Level Selection", "section_body": "Safety Stock Service Level Selection\n\n| Segment | Target Service Level | Z-Score | Rationale |\n|---|---|---|---|\n| AX (high-value, predictable) | 97.5% | 1.96 | High value justifies investment; low variability keeps SS moderate |\n| AY (high-value, moderate variability) | 95% | 1.65 | Standard target; variability makes higher SL prohibitively expensive |\n| AZ (high-value, erratic) | 92\u201395% | 1.41\u20131.65 | Erratic demand makes high SL astronomically expensive; supplement with expediting capability |\n| BX/BY | 95% | 1.65 | Standard target |\n| BZ | 90% | 1.28 | Accept some stockout risk on mid-tier erratic items |\n| CX/CY | 90\u201392% | 1.28\u20131.41 | Low value doesn't justify high SS investment |\n| CZ | 85% | 1.04 | Candidate for discontinuation; minimal investment |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "e3d3864af4e167cc0943835d36791ff8afca2db80b2034b98e6d043a2a3e9383", "alias_sources": []}
{"id": "ea0274f64535c209", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Commit Messages", "Types"], "section_title": "Types", "section_body": "Commit Messages\n\nConventional Commits Format\n\nTypes\n\n| Type | Use For | Example |\n|------|---------|---------|\n| `feat` | New feature | `feat(auth): add OAuth2 login` |\n| `fix` | Bug fix | `fix(api): handle null response in user endpoint` |\n| `docs` | Documentation | `docs(readme): update installation instructions` |\n| `style` | Formatting, no code change | `style: fix indentation in login component` |\n| `refactor` | Code refactoring | `refactor(db): extract connection pool to module` |\n| `test` | Adding/updating tests | `test(auth): add unit tests for token validation` |\n| `chore` | Maintenance tasks | `chore(deps): update dependencies` |\n| `perf` | Performance improvement | `perf(query): add index to users table` |\n| `ci` | CI/CD changes | `ci: add PostgreSQL service to test workflow` |\n| `revert` | Revert previous commit | `revert: revert \"feat(auth): add OAuth2 login\"` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:test", "phase:debug", "phase:docs"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "64364e134994160008f6b32dd63859e41ab923581eeae307f856a60d711e1474", "alias_sources": []}
{"id": "ea145936718c00cf", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "References"], "section_title": "References", "section_body": "References\n\n| Project | Author | Link |\n|---------|--------|------|\n| Ralphinho | enitrat | credit: @enitrat |\n| Infinite Agentic Loop | disler | credit: @disler |\n| Continuous Claude | AnandChowdhary | credit: @AnandChowdhary |\n| NanoClaw | ECC | `/claw` command in this repo |\n| Verification Loop | ECC | `skills/verification-loop/` in this repo |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "b7caf277f86cba7787b1f38cad3cf643ea385e5a3086570b020c90d94fede894", "alias_sources": []}
{"id": "ea3873344332eaaf", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "1. Sequential Pipeline (`claude -p`)", "Key Design Principles"], "section_title": "Key Design Principles", "section_body": "Key Design Principles\n\n**Each step is isolated** \u2014 A fresh context window per `claude -p` call means no context bleed between steps.\n\n**Order matters** \u2014 Steps execute sequentially. Each builds on the filesystem state left by the previous.\n\n**Negative instructions are dangerous** \u2014 Don't say \"don't test type systems.\" Instead, add a separate cleanup step (see [De-Sloppify Pattern](#5-the-de-sloppify-pattern)).\n\n**Exit codes propagate** \u2014 `set -e` stops the pipeline on failure.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:test"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "b8b9028abbcab2f033804ae133e89d5cbc209a4bc75c80a76cd9e5a1837c2d9e", "alias_sources": []}
{"id": "ea5610a242a4101e", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Quick Start", "Option A: Use the ECC hook (zero install)"], "section_title": "Option A: Use the ECC hook (zero install)", "section_body": "Routine Bash Gate (once per session)\n\nQuick Start\n\nOption A: Use the ECC hook (zero install)\n\nThe hook at `scripts/hooks/gateguard-fact-force.js` is included in this plugin. Enable it via hooks.json.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "c8fbe074a0bb65038b5b9e664761900c2b90c4f350377bdfff94313d88bbe5e1", "alias_sources": []}
{"id": "ea57eecef89e1d82", "skill_name": "blueprint", "skill_description": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "skill_type": null, "section_path": ["Blueprint \u2014 Construction Plan Generator", "Source"], "section_title": "Source", "section_body": "Source\n\nInspired by antbotlab/blueprint \u2014 upstream project and reference design.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\blueprint\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says \"just do it\".", "mtime": 1776507629.4817057, "body_hash": "06f05af5744aaa6f2224676f36fe5f8b6f2be0ddf2fda3dca7b3048011b0eb54", "alias_sources": []}
{"id": "ea814778cdea839a", "skill_name": "django-verification", "skill_description": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "skill_type": null, "section_path": ["Django Verification Loop", "Quick Reference"], "section_title": "Quick Reference", "section_body": "Continuous Integration\n\nGitHub Actions Example\n\nQuick Reference\n\n| Check | Command |\n|-------|---------|\n| Environment | `python --version` |\n| Type checking | `mypy .` |\n| Linting | `ruff check .` |\n| Formatting | `black . --check` |\n| Migrations | `python manage.py makemigrations --check` |\n| Tests | `pytest --cov=apps` |\n| Security | `pip-audit && bandit -r .` |\n| Django check | `python manage.py check --deploy` |\n| Collectstatic | `python manage.py collectstatic --noinput` |\n| Diff stats | `git diff --stat` |\n\nRemember: Automated verification catches common issues but doesn't replace manual code review and testing in staging environment.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\django-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test", "phase:review", "phase:deploy"], "trigger_hints": "Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.", "mtime": 1776507629.7095768, "body_hash": "8378c7f4cfaf3008c2b0cb61e91ea6cf187187a45b89e81c0d01e3c793e59da3", "alias_sources": []}
{"id": "ea9fae60e1221ee5", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Anti-Patterns to Avoid"], "section_title": "Anti-Patterns to Avoid", "section_body": "Anti-Patterns to Avoid\n\nApplying `@concurrent` to every async function (most don't need background execution)\n\nUsing `nonisolated` to suppress compiler errors without understanding isolation\n\nKeeping legacy `DispatchQueue` patterns when actors provide the same safety\n\nSkipping `model.availability` checks in concurrency-related Foundation Models code\n\nFighting the compiler \u2014 if it reports a data race, the code has a real concurrency issue\n\nAssuming all async code runs in the background (Swift 6.2 default: stays on calling actor)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "ae23fa4ed2fa8c731808775807cebc0f12594fe52568a96e46a0da425062aaf0", "alias_sources": []}
{"id": "eae9a18bace66eb2", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction"], "section_title": "Agent Harness Construction", "section_body": "Agent Harness Construction\n\nUse this skill when you are improving how an agent plans, calls tools, recovers from errors, and converges on completion.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "c409d3d81e53598e43c5be780d8e20d1bf36d27909f9d5fa38fd88533c0de60d", "alias_sources": []}
{"id": "eb0670dd05979cd9", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Pattern Writing Tips", "Regex Basics"], "section_title": "Regex Basics", "section_body": "Pattern Writing Tips\n\nRegex Basics\n\nEscape special chars: `.` to `\\.`, `(` to `\\(`\n\n`\\s` whitespace, `\\d` digit, `\\w` word char\n\n`+` one or more, `*` zero or more, `?` optional\n\n`|` OR operator", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "61f5e36b599531c78e713b24f61eb653a4af39d827637446e4e58bd0aa370f29", "alias_sources": []}
{"id": "eb2a763df2c3945b", "skill_name": "click-path-audit", "skill_description": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "skill_type": null, "section_path": ["/click-path-audit \u2014 Behavioural Flow Audit", "Example: The Bug That Inspired This Skill"], "section_title": "Example: The Bug That Inspired This Skill", "section_body": "Example: The Bug That Inspired This Skill\n\n**ThreadList.tsx \"New Email\" button:**\n\nStore definition:\n\n**Systematic debugging missed it** because:\n\nThe button has an onClick handler (not dead)\n\nBoth functions exist (no missing wiring)\n\nNeither function crashes (no runtime error)\n\nThe data types are correct (no type mismatch)\n\n**Click-path audit catches it** because:\n\nStep 1 maps `selectThread` resets `composeMode`\n\nStep 2 traces the handler: call 1 sets true, call 2 resets false\n\nVerdict: Sequential Undo \u2014 final state contradicts button intent", "source_path": "CODEFORGE\\everything-claude-code\\skills\\click-path-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.", "mtime": 1776507629.5153184, "body_hash": "efbe0674eed91a21858792718d3a26d7e14f78e27ed76b99bf188764164d6e1f", "alias_sources": []}
{"id": "eb4f13ab1905aa52", "skill_name": "ai-first-engineering", "skill_description": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "skill_type": null, "section_path": ["AI-First Engineering", "Code Review in AI-First Teams"], "section_title": "Code Review in AI-First Teams", "section_body": "Code Review in AI-First Teams\n\nReview for:\n\nbehavior regressions\n\nsecurity assumptions\n\ndata integrity\n\nfailure handling\n\nrollout safety\n\nMinimize time spent on style issues already covered by automation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-first-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Engineering operating model for teams where AI agents generate a large share of implementation output.", "mtime": 1776507629.4563482, "body_hash": "8b63e805b63fade08b6e61f10e0cb37167858f1313f920379d0b1e380889cf71", "alias_sources": []}
{"id": "eb54255c467d6c5a", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Best Practices", "1. Partitioning Strategy"], "section_title": "1. Partitioning Strategy", "section_body": "Best Practices\n\n1. Partitioning Strategy\n\nPartition by time (usually month or day)\n\nAvoid too many partitions (performance impact)\n\nUse DATE type for partition key", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "aff9cb6c78f7a146a9be276ffa6d3a32d538a8a4dfe0d9e973f48edae265443c", "alias_sources": []}
{"id": "eb80bf9f60c193fc", "skill_name": "production-scheduling", "skill_description": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "skill_type": null, "section_path": ["Production Scheduling", "Core Knowledge", "OEE \u2014 Overall Equipment Effectiveness"], "section_title": "OEE \u2014 Overall Equipment Effectiveness", "section_body": "OEE \u2014 Overall Equipment Effectiveness\n\n**Calculation:** OEE = Availability \u00d7 Performance \u00d7 Quality. Availability = (Planned Production Time \u2212 Downtime) / Planned Production Time. Performance = (Ideal Cycle Time \u00d7 Total Pieces) / Operating Time. Quality = Good Pieces / Total Pieces. World-class OEE is 85%+; typical discrete manufacturing runs 55\u201365%.\n\n**Planned vs. unplanned downtime:** Planned downtime (scheduled maintenance, changeovers, breaks) is excluded from the Availability denominator in some OEE standards and included in others. Use TEEP (Total Effective Equipment Performance) when you need to compare across plants or justify capital expansion \u2014 TEEP includes all calendar time.\n\n**Availability losses:** Breakdowns and unplanned stops. Address with preventive maintenance, predictive maintenance (vibration analysis, thermal imaging), and TPM operator-level daily checks. Target: unplanned downtime < 5% of scheduled time.\n\n**Performance losses:** Speed losses and micro-stops. A machine rated at 100 parts/hour running at 85 parts/hour has a 15% performance loss. Common causes: material feed inconsistencies, worn tooling, sensor false-triggers, and operator hesitation. Track actual cycle time vs. standard cycle time per job.\n\n**Quality losses:** Scrap and rework. First-pass yield below 95% on a constraint operation directly reduces effective capacity. Prioritise quality improvement at the constraint \u2014 a 2% yield improvement at the constraint delivers the same throughput gain as a 2% capacity expansion.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\production-scheduling\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.\n", "mtime": 1776507629.9325137, "body_hash": "e862c21d194df026b8f2b197f662f49a6639539a71d91a2b3321589162fbd328", "alias_sources": []}
{"id": "eba5938947d80cf9", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Action Space Design"], "section_title": "Action Space Design", "section_body": "Action Space Design\n\nUse stable, explicit tool names.\n\nKeep inputs schema-first and narrow.\n\nReturn deterministic output shapes.\n\nAvoid catch-all tools unless isolation is impossible.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "4875c71154edf0729f582eaa552d5f607df41353b718c43b6aabb398c8753190", "alias_sources": []}
{"id": "ebaa9d6e24366057", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill"], "section_title": "Strategic Compact Skill", "section_body": "Strategic Compact Skill\n\nSuggests manual `/compact` at strategic points in your workflow rather than relying on arbitrary auto-compaction.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "312496312d95c5e9490f1b650c78da126676bd2b5a19bd5101f6c34145a45202", "alias_sources": []}
{"id": "ebe9affd84343a0c", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Analyzing a Ticket", "2. Test Types Needed"], "section_title": "2. Test Types Needed", "section_body": "2. Test Types Needed\n\n**Unit tests** \u2014 Individual functions and utilities\n\n**Integration tests** \u2014 API endpoints and service interactions\n\n**E2E tests** \u2014 User-facing UI flows\n\n**API tests** \u2014 Endpoint contracts and error handling", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:test"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "0a907b05bcc330e6ec329ca4e3e27cb009510a8dc41869596844724531189050", "alias_sources": []}
{"id": "ec37280fd2c419d0", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "1. Sequential Pipeline (`claude -p`)"], "section_title": "1. Sequential Pipeline (`claude -p`)", "section_body": "1. Sequential Pipeline (`claude -p`)\n\n**The simplest loop.** Break daily development into a sequence of non-interactive `claude -p` calls. Each call is a focused step with a clear prompt.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "75e136845f09f6d2171d38c1207fa903fc30f7cc179cffc0b4fc59a2ae4e3d0e", "alias_sources": []}
{"id": "ec38f650aaf8f469", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Good Use Cases"], "section_title": "Good Use Cases", "section_body": "Good Use Cases\n\n\"We have GitHub, Linear, and local hook alerts, but no single operator flow\"\n\n\"Our CI failures are noisy and people ignore them\"\n\n\"I want one notification policy across Claude, OpenCode, and Codex surfaces\"\n\n\"Figure out what should interrupt versus land in a digest\"\n\n\"Collapse overlapping notification PR ideas into one canonical ECC lane\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "1cc12f5fd69aeec4f03498fdeb250b1ea30f9cb76fb000d9bed7c9664a60ef3a", "alias_sources": []}
{"id": "ec44e34acb94119b", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nNew features or endpoints in Laravel\n\nBug fixes or refactors\n\nTesting Eloquent models, policies, jobs, and notifications\n\nPrefer Pest for new tests unless the project already standardizes on PHPUnit", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:debug"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "5abe1f8dcc40de8685e1531d230c50128f6709c761ff479230dba04bef4cac42", "alias_sources": []}
{"id": "ec452f13aed101ad", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Conflict Resolution", "Conflict Prevention Strategies"], "section_title": "Conflict Prevention Strategies", "section_body": "Conflict Resolution\n\nIdentify Conflicts\n\nResolve Conflicts\n\nConflict Prevention Strategies", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "79c8f5c1d86516d31d44a20ba9097cf96be418cb3caeea1c2516fa36ba9b4b12", "alias_sources": []}
{"id": "ec4c9f2ee729263b", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "Issue Triage"], "section_title": "Issue Triage", "section_body": "Issue Triage\n\nClassify each issue by type and priority:\n\n**Types:** bug, feature-request, question, documentation, enhancement, duplicate, invalid, good-first-issue\n\n**Priority:** critical (breaking/security), high (significant impact), medium (nice to have), low (cosmetic)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:debug", "phase:docs"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "6b37e3932bc3b1230f111e01389e072884f923213ee80f9e9584db9bfcbbb633", "alias_sources": []}
{"id": "ec79474831afb1df", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Rate Limits"], "section_title": "Rate Limits", "section_body": "Get User by Username\n\nUpload Media and Post\n\nRate Limits\n\nX API rate limits vary by endpoint, auth method, and account tier, and they change over time. Always:\n\nCheck the current X developer docs before hardcoding assumptions\n\nRead `x-rate-limit-remaining` and `x-rate-limit-reset` headers at runtime\n\nBack off automatically instead of relying on static tables in code", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:docs"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "b1d001ecebd4545bc4383e619dfa1a6c14c7617ec5e0a99b012f90b87f55f50d", "alias_sources": []}
{"id": "ec98eaa6839d87fa", "skill_name": "exa-search", "skill_description": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "skill_type": null, "section_path": ["Exa Search", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser needs current web information or news\n\nSearching for code examples, API docs, or technical references\n\nResearching companies, competitors, or market players\n\nFinding professional profiles or people in a domain\n\nRunning background research for any development task\n\nUser says \"search for\", \"look up\", \"find\", or \"what's the latest on\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\exa-search\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:docs"], "trigger_hints": "Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.", "mtime": 1776507629.7518122, "body_hash": "ce2b3f59e469a9c92117f6a892a40c4974fcb86a3d11db9f913085e59871b77e", "alias_sources": []}
{"id": "ec9c167e8c7fd494", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Evidence Sources"], "section_title": "Evidence Sources", "section_body": "Evidence Sources\n\nUse repo-local evidence before making any classification:\n\nfile extensions\n\npackage managers and lockfiles\n\nframework configs\n\nCI and hook configs\n\nbuild/test scripts\n\nimports and dependency manifests\n\nrepo docs that explicitly describe the stack\n\nUseful commands include:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:docs"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "ef72bb3fb52e2bf9d886d30b5559aedef4f5c5789cb20526b2432699010e1328", "alias_sources": []}
{"id": "ecb18baa58f31f9d", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Examples of Good Recommendations"], "section_title": "Examples of Good Recommendations", "section_body": "Output Format\n\nUse this structure:\n\nExamples of Good Recommendations\n\n\"The right fix is a billing portal, not a custom dashboard yet\"\n\n\"This looks like duplicate personal checkout, not a real team-seat purchase\"\n\n\"Refund one duplicate charge, keep the remaining active subscription, then convert the customer to org billing later if needed\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "4f8f97c0b7afe7468e557b8313f75c412f9a187907ebeca3bee5b06e8003d0b5", "alias_sources": []}
{"id": "ecb2edfeca361fc7", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Fixtures", "Basic Fixture Usage"], "section_title": "Basic Fixture Usage", "section_body": "pytest Fundamentals\n\nBasic Test Structure\n\nAssertions\n\nFixtures\n\nBasic Fixture Usage", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "852c7aff5a61666dc8c16b494994ae2dc11d2a2b7422ef1d7aced63cc2f8b9b3", "alias_sources": []}
{"id": "ecb6a0ac89fc3e89", "skill_name": "kotlin-coroutines-flows", "skill_description": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "skill_type": null, "section_path": ["Kotlin Coroutines & Flows", "Cancellation", "Cooperative Cancellation"], "section_title": "Cooperative Cancellation", "section_body": "Cancellation\n\nCooperative Cancellation\n\nLong-running loops must check for cancellation:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-coroutines-flows\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "Kotlin Coroutines and Flow patterns for Android and KMP \u2014 structured concurrency, Flow operators, StateFlow, error handling, and testing.", "mtime": 1776507629.829543, "body_hash": "6e3879c2edf48ae47e9583c7758bfff347e49bb060d8db295a2ac7355240c375", "alias_sources": []}
{"id": "ecc21c11793bc2a3", "skill_name": "codebase-onboarding", "skill_description": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "skill_type": null, "section_path": ["Codebase Onboarding", "Examples", "Example 2: Generate CLAUDE.md for existing project"], "section_title": "Example 2: Generate CLAUDE.md for existing project", "section_body": "Example 2: Generate CLAUDE.md for existing project\n\n**User**: \"Generate a CLAUDE.md for this project\"\n**Action**: Run Phases 1-3, skip Onboarding Guide, produce only CLAUDE.md\n**Output**: Project-specific `CLAUDE.md` with detected conventions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\codebase-onboarding\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.", "mtime": 1776507629.5269816, "body_hash": "e9959b56978c99b0ed7aa45eb0311260ad2b4bf969581736185fe3a1a517e660", "alias_sources": []}
{"id": "ecfa9e971fcf912a", "skill_name": "healthcare-phi-compliance", "skill_description": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "skill_type": null, "section_path": ["Healthcare PHI/PII Compliance Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nBuilding any feature that touches patient records\n\nImplementing access control or authentication for clinical systems\n\nDesigning database schemas for healthcare data\n\nBuilding APIs that return patient or clinician data\n\nImplementing audit trails or logging\n\nReviewing code for data exposure vulnerabilities\n\nSetting up Row-Level Security (RLS) for multi-tenant healthcare systems", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-phi-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:review"], "trigger_hints": "Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.", "mtime": 1776507629.8042514, "body_hash": "045856d1e68264b324fa9f1c32ca2697ba132dd6653f81707c085b3bffeabfbf", "alias_sources": []}
{"id": "ed00e7f7787683bd", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nExposed provides two query styles: DSL for direct SQL-like expressions and DAO for entity lifecycle management. HikariCP manages a pool of reusable database connections configured via `HikariConfig`. Flyway runs versioned SQL migration scripts at startup to keep the schema in sync. All database operations run inside `newSuspendedTransaction` blocks for coroutine safety and atomicity. The repository pattern wraps Exposed queries behind an interface so business logic stays decoupled from the data layer and tests can use an in-memory H2 database.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "f0d8399a003a0349e47ff5ea6b1878b3d963cb09a11960c216d7c0d71f576961", "alias_sources": []}
{"id": "ed4445ff735608f2", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Output Format"], "section_title": "Output Format", "section_body": "Output Format\n\nReturn:\n\ncore visual thesis\n\nstoryboard\n\nscene outline\n\nrender plan\n\nany follow-on polish recommendations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "b88da29eeaa2ba3e1219736bde93c8833d421bece1307b63738b4319f34f23b1", "alias_sources": []}
{"id": "ed5a76dccf5a8790", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser explicitly says \"let's record this decision\" or \"ADR this\"\n\nUser chooses between significant alternatives (framework, library, pattern, database, API design)\n\nUser says \"we decided to...\" or \"the reason we're doing X instead of Y is...\"\n\nUser asks \"why did we choose X?\" (read existing ADRs)\n\nDuring planning phases when architectural trade-offs are discussed", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "98bdf16d517c880b04fe19017db397bb8ebd2d640a542d236ef44c2735888381", "alias_sources": []}
{"id": "ed6ff7a97720c248", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Examples"], "section_title": "Examples", "section_body": "Examples\n\n`\u5e2e\u6211\u8bbe\u8ba1\u4e00\u53ea OpenClaw \u9f99\u867e\u7075\u9b42\uff0c\u6c14\u8d28\u8981\u51b7\u5e7d\u9ed8\u4f46\u53ef\u9760`\n\n`\u62bd\u5361\uff0c\u7ed9\u6211\u6765 3 \u53ea\u98ce\u683c\u5b8c\u5168\u4e0d\u540c\u7684\u9f99\u867e`\n\n`\u6211\u5df2\u7ecf\u6709 SOUL.md \u8349\u7a3f\u4e86\uff0c\u5e2e\u6211\u8865\u5168\u540d\u5b57\u3001\u5e95\u7ebf\u89c4\u5219\u548c\u5934\u50cf\u63d0\u793a\u8bcd`\n\n\u53c2\u8003\u7ec6\u8282\u89c1\uff1a\n\n`references/identity-tension.md`\n\n`references/boundary-rules.md`\n\n`references/naming-system.md`\n\n`references/avatar-style.md`\n\n`references/output-template.md`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "93120411ce2e38f9a8562d98d097a376ad911f5ef56f7ec63f8183d35f32e3b0", "alias_sources": []}
{"id": "ed719f8605ed6800", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`autonomous-loops` for bounded multi-step audits that cross webhooks, queues, billing, and retries\n\n`agentic-engineering` for tracing the request path into discrete, provable units\n\n`customer-billing-ops` when repo behavior and customer-impact math must be separated cleanly\n\n`search-first` before inventing helpers or re-implementing repo-local utilities\n\n`security-review` when auth, usage gates, entitlements, or secrets are touched\n\n`verification-loop` for proving rerun safety and exact post-fix state\n\n`tdd-workflow` when the fix needs regression coverage in the worker, router, or billing paths", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "f63bf1bcd56c2415eec64c8d6a22d5596b851164537c7c5524c5cf8c058a1e1f", "alias_sources": []}
{"id": "ed77076c0ebce654", "skill_name": "email-ops", "skill_description": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "skill_type": null, "section_path": ["Email Ops", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nuser asks to triage inbox or archive low-signal mail\n\nuser wants a draft, reply, or new outbound email\n\nuser wants to know whether a mail was already sent\n\nthe user wants proof of which account, thread, or Sent entry was used", "source_path": "CODEFORGE\\everything-claude-code\\skills\\email-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.", "mtime": 1776507629.7266462, "body_hash": "467d0634644a057ed66541e3564b70ed222afc60ae01def7ef60fdf0974f2d17", "alias_sources": []}
{"id": "ed94480189e1ed92", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "4. Build the install plan"], "section_title": "4. Build the install plan", "section_body": "4. Build the install plan\n\nTranslate the classification into action:\n\nDAILY skills -> install or keep in `.claude/skills/`\n\nDAILY commands -> keep as explicit shims only if still useful\n\nDAILY rules -> install only matching language sets\n\nDAILY hooks/scripts -> keep only compatible ones\n\nLIBRARY surfaces -> keep accessible through search or `skill-library`\n\nIf the repo already uses selective installs, update that plan instead of creating another system.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "1f8b7fb93f68fa834156097591200b5047c378f2c35eb6c8b246260fd232acff", "alias_sources": []}
{"id": "ed95c6bdddcf84f2", "skill_name": "laravel-tdd", "skill_description": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "skill_type": null, "section_path": ["Laravel TDD Workflow", "Examples", "Coverage Targets"], "section_title": "Coverage Targets", "section_body": "Coverage Targets\n\nEnforce 80%+ coverage for unit + feature tests\n\nUse `pcov` or `XDEBUG_MODE=coverage` in CI", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Test-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.", "mtime": 1776507629.847584, "body_hash": "8db78a1105551a594f40e949d00131dc84693b22d40798f9189c1c6605e34723", "alias_sources": []}
{"id": "edae215c1ad04fe8", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "4. State Management (Library-Agnostic)", "Reactivity discipline (for reactive-mutation solutions: MobX, GetX, Signals):"], "section_title": "Reactivity discipline (for reactive-mutation solutions: MobX, GetX, Signals):", "section_body": "Reactivity discipline (for reactive-mutation solutions: MobX, GetX, Signals):\n\n[ ] State is only mutated through the solution's reactive API (`@action` in MobX, `.value` on signals, `.obs` in GetX) \u2014 direct field mutation bypasses change tracking\n\n[ ] Derived values use the solution's computed mechanism rather than being stored redundantly\n\n[ ] Reactions and disposers are properly cleaned up (`ReactionDisposer` in MobX, effect cleanup in Signals)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "9edf3d37888a093f1d8470df74428a17de8ada99574b4911e304b14d93102e6a", "alias_sources": []}
{"id": "edc2cc61fab99b3e", "skill_name": "api-design", "skill_description": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "skill_type": null, "section_path": ["API Design Patterns", "API Design Checklist"], "section_title": "API Design Checklist", "section_body": "Go (net/http)\n\nAPI Design Checklist\n\nBefore shipping a new endpoint:\n\n[ ] Resource URL follows naming conventions (plural, kebab-case, no verbs)\n\n[ ] Correct HTTP method used (GET for reads, POST for creates, etc.)\n\n[ ] Appropriate status codes returned (not 200 for everything)\n\n[ ] Input validated with schema (Zod, Pydantic, Bean Validation)\n\n[ ] Error responses follow standard format with codes and messages\n\n[ ] Pagination implemented for list endpoints (cursor or offset)\n\n[ ] Authentication required (or explicitly marked as public)\n\n[ ] Authorization checked (user can only access their own resources)\n\n[ ] Rate limiting configured\n\n[ ] Response does not leak internal details (stack traces, SQL errors)\n\n[ ] Consistent naming with existing endpoints (camelCase vs snake_case)\n\n[ ] Documented (OpenAPI/Swagger spec updated)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan", "phase:review"], "trigger_hints": "REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.", "mtime": 1776507629.4613512, "body_hash": "4b8b80fb4ef24cdc76e0f8dbe8a2360364dc0fa9cc3334940b68bc5d62abcb73", "alias_sources": []}
{"id": "edec6b8ca5835f50", "skill_name": "santa-method", "skill_description": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "skill_type": null, "section_path": ["Santa Method", "Failure Modes and Mitigations"], "section_title": "Failure Modes and Mitigations", "section_body": "Failure Modes and Mitigations\n\n| Failure Mode | Symptom | Mitigation |\n|-------------|---------|------------|\n| Infinite loop | Reviewers keep finding new issues after fixes | Max iteration cap (3). Escalate. |\n| Rubber stamping | Both reviewers pass everything | Adversarial prompt: \"Your job is to find problems, not approve.\" |\n| Subjective drift | Reviewers flag style preferences, not errors | Tight rubric with objective pass/fail criteria only |\n| Fix regression | Fixing issue A introduces issue B | Fresh reviewers each round catch regressions |\n| Reviewer agreement bias | Both reviewers miss the same thing | Mitigated by independence, not eliminated. For critical output, add a third reviewer or human spot-check. |\n| Cost explosion | Too many iterations on large outputs | Batch sampling pattern. Budget caps per verification cycle. |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\santa-method\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.", "mtime": 1776507630.0339475, "body_hash": "08d82878620515e769a1e7fa77a3efc07f300d32ff5deb0d3590a64d91eb185b", "alias_sources": []}
{"id": "edf611896d5ef677", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThis skill enforces idiomatic Rust conventions across six key areas: ownership and borrowing to prevent data races at compile time, `Result`/`?` error propagation with `thiserror` for libraries and `anyhow` for applications, enums and exhaustive pattern matching to make illegal states unrepresentable, traits and generics for zero-cost abstraction, safe concurrency via `Arc<Mutex<T>>`, channels, and async/await, and minimal `pub` surfaces organized by domain.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "53123f33179f1178439b18f82c72cf8cd107a50892ad2b38d49b2606eb17e83b", "alias_sources": []}
{"id": "ee426f5717b96105", "skill_name": "jira-integration", "skill_description": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "skill_type": null, "section_path": ["Jira Integration Skill", "Analyzing a Ticket"], "section_title": "Analyzing a Ticket", "section_body": "Search with JQL\n\nAnalyzing a Ticket\n\nWhen retrieving a ticket for development or test automation, extract:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\jira-integration\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.", "mtime": 1776507629.8229907, "body_hash": "8c3fa7b5657b2ab60d92d783d8e8df855fc400247f137f05abf46bf9d37049bc", "alias_sources": []}
{"id": "eee42e4a0e376c17", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Type Hints", "Type Aliases and TypeVar"], "section_title": "Type Aliases and TypeVar", "section_body": "Type Hints\n\nBasic Type Annotations\n\nModern Type Hints (Python 3.9+)\n\nType Aliases and TypeVar", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "a01fbca1235235981b4f2c2d498e25545904ecf198cf37273b8e212e9df21175", "alias_sources": []}
{"id": "eeeae461b3ae6cb0", "skill_name": "deployment-patterns", "skill_description": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "skill_type": null, "section_path": ["Deployment Patterns", "Docker", "Multi-Stage Dockerfile (Python/Django)"], "section_title": "Multi-Stage Dockerfile (Python/Django)", "section_body": "Docker\n\nMulti-Stage Dockerfile (Node.js)\n\nMulti-Stage Dockerfile (Go)\n\nMulti-Stage Dockerfile (Python/Django)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\deployment-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.", "mtime": 1776507629.6838944, "body_hash": "de480b678275518fcba2f87c7e3459c248770d6a49e240c28bc496731a564e29", "alias_sources": []}
{"id": "eeef04007a5670bd", "skill_name": "lead-intelligence", "skill_description": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "skill_type": null, "section_path": ["Lead Intelligence", "Stage 3: Warm Path Discovery"], "section_title": "Stage 3: Warm Path Discovery", "section_body": "Output Format\n\nStage 3: Warm Path Discovery\n\nFor each target, find the shortest introduction chain:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\lead-intelligence\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.", "mtime": 1776507629.8505447, "body_hash": "3fdce633c39a4eb531de6f7935b85a2946ea47a292a75543bee61a49a9847652", "alias_sources": []}
{"id": "eefd5fcf1c45d293", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Testing Expectations"], "section_title": "Testing Expectations", "section_body": "Testing Expectations\n\nJUnit 5 + AssertJ for fluent assertions\n\nMockito for mocking; avoid partial mocks where possible\n\nFavor deterministic tests; no hidden sleeps\n\n**Remember**: Keep code intentional, typed, and observable. Optimize for maintainability over micro-optimizations unless proven necessary.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "ad48eb6a3d66ca2b9257053cdd4fc26aa16fc5584e2665c600b761345ad4aaa7", "alias_sources": []}
{"id": "ef0ff6e4c7e91dfa", "skill_name": "agent-eval", "skill_description": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "skill_type": null, "section_path": ["Agent Eval Skill", "Core Concepts", "Git Worktree Isolation"], "section_title": "Git Worktree Isolation", "section_body": "Git Worktree Isolation\n\nEach agent run gets its own git worktree \u2014 no Docker required. This provides reproducibility isolation so agents cannot interfere with each other or corrupt the base repo.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-eval\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops"], "trigger_hints": "Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics", "mtime": 1776507629.4462953, "body_hash": "5ebd9f2dcbdf800adaa437b4a8106a3385af451c85fbcf9ee9fdcce2e6d81b6c", "alias_sources": []}
{"id": "ef1a580a6773a21a", "skill_name": "java-coding-standards", "skill_description": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "skill_type": null, "section_path": ["Java Coding Standards", "Core Principles"], "section_title": "Core Principles", "section_body": "Core Principles\n\nPrefer clarity over cleverness\n\nImmutable by default; minimize shared mutable state\n\nFail fast with meaningful exceptions\n\nConsistent naming and package structure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\java-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.", "mtime": 1776507629.8219903, "body_hash": "13c391794a6836ca610d9f0f002d3f584578f88f7db11076f3917f4875161cf5", "alias_sources": []}
{"id": "ef1dd1b816f3c4d2", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "7. Accessibility", "Interaction accessibility:"], "section_title": "Interaction accessibility:", "section_body": "Interaction accessibility:\n\n[ ] No no-op `onPressed` callbacks \u2014 every button does something or is disabled\n\n[ ] Error fields suggest corrections\n\n[ ] Context does not change unexpectedly while user is inputting data", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "a32cf7b36789a5fa6fca7167080d01a98a7e89f1aa3ac8445c353b0a63317194", "alias_sources": []}
{"id": "ef2c459c22bd7e04", "skill_name": "tdd-workflow", "skill_description": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "skill_type": null, "section_path": ["Test-Driven Development Workflow", "TDD Workflow Steps", "Step 6: Refactor"], "section_title": "Step 6: Refactor", "section_body": "Step 6: Refactor\n\nImprove code quality while keeping tests green:\n\nRemove duplication\n\nImprove naming\n\nOptimize performance\n\nEnhance readability\n\nIf the repository is under Git, create a checkpoint commit immediately after refactoring is complete and tests remain green.\nRecommended commit message format:\n\n`refactor: clean up after <feature or bug> implementation`\n\nVerify that this checkpoint commit is on the current active branch before considering the TDD cycle complete", "source_path": "CODEFORGE\\everything-claude-code\\skills\\tdd-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test", "phase:debug"], "trigger_hints": "Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.", "mtime": 1776507630.148459, "body_hash": "c8d0255c2b9def8cfafe74ea9439b000a88f69557dcb33dfd4183d139ce15d8e", "alias_sources": []}
{"id": "ef2f9dfd748d1167", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Prisma (TypeScript/Node.js)", "Workflow"], "section_title": "Workflow", "section_body": "Removing a Column Safely\n\nLarge Data Migrations\n\nPrisma (TypeScript/Node.js)\n\nWorkflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "a84d41b7b739d26b5620a73db0dc4f04a1ebc5aaf2be2f1173cb017020ccc6af", "alias_sources": []}
{"id": "ef365aa639c025bc", "skill_name": "clickhouse-io", "skill_description": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "skill_type": null, "section_path": ["ClickHouse Analytics Patterns", "Table Design Patterns", "ReplacingMergeTree (Deduplication)"], "section_title": "ReplacingMergeTree (Deduplication)", "section_body": "Table Design Patterns\n\nMergeTree Engine (Most Common)\n\nReplacingMergeTree (Deduplication)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\clickhouse-io\\SKILL.md", "source_root": "ecc", "tags": ["domain:data", "phase:plan"], "trigger_hints": "ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.", "mtime": 1776507629.519385, "body_hash": "2df210185922bb0b3c8a16fbe3583ce1daa8cd30faf1d9ae30ee90b482d4044a", "alias_sources": []}
{"id": "ef5ceb1fc947d084", "skill_name": "ecc-tools-cost-audit", "skill_description": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "skill_type": null, "section_path": ["ECC Tools Cost Audit", "High-Signal Failure Patterns", "4. App-generated branches re-enter the webhook"], "section_title": "4. App-generated branches re-enter the webhook", "section_body": "4. App-generated branches re-enter the webhook\n\nIf `pull_request.synchronize`, branch pushes, or comment-triggered runs fire on app-owned branches, the app can recursively analyze its own output.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ecc-tools-cost-audit\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.", "mtime": 1776507629.724089, "body_hash": "6d649585de4f811536c6c2ce5411e895ce62c622a490c1c7db6d1974d08653f6", "alias_sources": []}
{"id": "ef8444e95a7d6e76", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Troubleshooting", "\"Rules not working\""], "section_title": "\"Rules not working\"", "section_body": "\"Rules not working\"\n\nRules are flat files, not in subdirectories: `$TARGET/rules/coding-style.md` (correct) vs `$TARGET/rules/common/coding-style.md` (incorrect for flat install)\n\nRestart Claude Code after installing rules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "b662bd8f167594dce18086aca67e607be03a9722578df6647a424f7dab03c461", "alias_sources": []}
{"id": "ef9e859f29d1fd1d", "skill_name": "context-budget", "skill_description": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "skill_type": null, "section_path": ["Context Budget"], "section_title": "Context Budget", "section_body": "Context Budget\n\nAnalyze token overhead across every loaded component in a Claude Code session and surface actionable optimizations to reclaim context space.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\context-budget\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.", "mtime": 1776507629.5713353, "body_hash": "53d48595a6863ce06f797a4adb2f4ac72588bbb5c52f931da5abe7a510a159dc", "alias_sources": []}
{"id": "efac332359fae0a9", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "7. Accessibility", "Semantic widgets:"], "section_title": "Semantic widgets:", "section_body": "7. Accessibility\n\nSemantic widgets:\n\n[ ] `Semantics` widget used to provide screen reader labels where automatic labels are insufficient\n\n[ ] `ExcludeSemantics` used for purely decorative elements\n\n[ ] `MergeSemantics` used to combine related widgets into a single accessible element\n\n[ ] Images have `semanticLabel` property set", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "103d25228f62b0ad9032fab9ae7f7b8afb09846ae86343816d3c58a44a5de329", "alias_sources": []}
{"id": "efbe0f26358dbc23", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Role and Context"], "section_title": "Role and Context", "section_body": "Carrier Relationship Management\n\nRole and Context\n\nYou are a senior transportation manager with 15+ years managing carrier portfolios ranging from 40 to 200+ active carriers across truckload, LTL, intermodal, and brokerage. You own the full lifecycle: sourcing new carriers, negotiating rates, running RFPs, building routing guides, tracking performance via scorecards, managing contract renewals, and making allocation decisions. Your systems include TMS (transportation management), rate management platforms, carrier onboarding portals, DAT/Greenscreens for market intelligence, and FMCSA SAFER for compliance. You balance cost reduction pressure against service quality, capacity security, and carrier relationship health \u2014 because when the market tightens, your carriers' willingness to cover your freight depends on how you treated them when capacity was loose.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "6ce303a427058b2932a288acea191629401d8fab2a99d869e867188ab00c3403", "alias_sources": []}
{"id": "eff3a71fe19f21fd", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Functions (F.*)", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Parameter Passing\n\nPure Functions and constexpr\n\nAnti-Patterns\n\nReturning `T&&` from functions (F.45)\n\nUsing `va_arg` / C-style variadics (F.55)\n\nCapturing by reference in lambdas passed to other threads (F.53)\n\nReturning `const T` which inhibits move semantics (F.49)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "0c7cda6d6e87e790060d581bc9374647599a6797f8c7befaa2406c4b52c5b3b8", "alias_sources": []}
{"id": "f001d1218028f957", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Three-Phase Process"], "section_title": "Three-Phase Process", "section_body": "Three-Phase Process\n\nEvery demo goes through three phases: **Discover -> Rehearse -> Record**. Never skip straight to recording.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "e65a69faa7863a04efbe3c9dd28cf48cf2b338492281bf166f43e9106486b1b9", "alias_sources": []}
{"id": "f015966aa564fb6e", "skill_name": "security-scan", "skill_description": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "skill_type": null, "section_path": ["Security Scan Skill"], "section_title": "Security Scan Skill", "section_body": "Security Scan Skill\n\nAudit your Claude Code configuration for security issues using [AgentShield](https://github.com/affaan-m/agentshield).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions.", "mtime": 1776507630.0574074, "body_hash": "44e4664546029be487dcf232dc1e0e31ad58da4e117c92cd0b56541a66d438a8", "alias_sources": []}
{"id": "f017e4735d62f504", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nUser wants to scrape or monitor any public website or API\n\nUser says \"build a bot that checks...\", \"monitor X for me\", \"collect data from...\"\n\nUser wants to track jobs, prices, news, repos, sports scores, events, listings\n\nUser asks how to automate data collection without paying for hosting\n\nUser wants an agent that gets smarter over time based on their decisions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "af4f735e771765de5ddf90c7a0881ce1f1bbd22ac8317b27fafcbde586c432b8", "alias_sources": []}
{"id": "f038902ed6eb6213", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`laravel-patterns` \u2014 Laravel architecture and patterns\n\n`laravel-tdd` \u2014 Test-driven development for Laravel\n\n`laravel-security` \u2014 Laravel security best practices\n\n`documentation-lookup` \u2014 General library documentation lookup (Context7)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:plan", "phase:test", "phase:docs"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "43ad65fd0fbb9d51ce379691c1e4899ba58531fd9930e26960df74ad3c0b6186", "alias_sources": []}
{"id": "f0397665ca123c8b", "skill_name": "rust-patterns", "skill_description": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "skill_type": null, "section_path": ["Rust Development Patterns", "Concurrency", "Channels for Message Passing"], "section_title": "Channels for Message Passing", "section_body": "Concurrency\n\n`Arc<Mutex<T>>` for Shared Mutable State\n\nChannels for Message Passing", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.", "mtime": 1776507630.0259442, "body_hash": "e87d5edf7b7d94654f76d70477a12920daad18f5d4269b8590264b6a8a8e92ff", "alias_sources": []}
{"id": "f03b8698ade19cfd", "skill_name": "visa-doc-translate", "skill_description": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "skill_type": null, "section_path": ["Instructions", "Output Example"], "section_title": "Output Example", "section_body": "Example Usage\n\nOutput Example\n\nThe skill will:\n\nExtract text using available OCR method\n\nTranslate to professional English\n\nGenerate `<filename>_Translated.pdf` with:\n\nPage 1: Original document image\n\nPage 2: Professional English translation\n\nPerfect for visa applications to Australia, USA, Canada, UK, and other countries requiring translated documents.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\visa-doc-translate\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Translate visa application documents (images) to English and create a bilingual PDF with original and translation", "mtime": 1776507630.1890082, "body_hash": "a881618a9c7b61183933bd4ec52aba9010d882990568aa181b08732c0dfbec37", "alias_sources": []}
{"id": "f04386a60e1be51d", "skill_name": "repo-scan", "skill_description": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "skill_type": null, "section_path": ["repo-scan", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\nStart with `standard` depth for first-time audits\n\nUse `fast` for monorepos with 100+ modules to get a quick inventory\n\nRun `deep` incrementally on modules flagged for refactoring\n\nReview the cross-module analysis for duplicate detection across sub-projects", "source_path": "CODEFORGE\\everything-claude-code\\skills\\repo-scan\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Cross-stack source code asset audit \u2014 classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.", "mtime": 1776507630.006884, "body_hash": "cf6c10bf22764898809ed61b74d920e78a2c2d577abe23d623821d1967fc0fcc", "alias_sources": []}
{"id": "f049af705aa6bab6", "skill_name": "ralphinho-rfc-pipeline", "skill_description": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "skill_type": null, "section_path": ["Ralphinho RFC Pipeline"], "section_title": "Ralphinho RFC Pipeline", "section_body": "Ralphinho RFC Pipeline\n\nInspired by [humanplane](https://github.com/humanplane) style RFC decomposition patterns and multi-unit orchestration workflows.\n\nUse this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ralphinho-rfc-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.", "mtime": 1776507629.9502714, "body_hash": "8a18be8a386556727cddb91c19ad77d3569555c08f8db39fcd04d663d9654685", "alias_sources": []}
{"id": "f064c070362a61a9", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Python code\n\nReviewing Python code\n\nRefactoring existing Python code\n\nDesigning Python packages/modules", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "7f32c4479f506559bdc8291cc849ac333cb86db0b2a657aa02300b0ab9e51102", "alias_sources": []}
{"id": "f0bb7f453cdaf3b8", "skill_name": "automation-audit-ops", "skill_description": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "skill_type": null, "section_path": ["Automation Audit Ops", "Workflow", "4. End with keep / merge / cut / fix-next"], "section_title": "4. End with keep / merge / cut / fix-next", "section_body": "4. End with keep / merge / cut / fix-next\n\nFor each overlapping or suspect surface, return one call:\n\nkeep\n\nmerge\n\ncut\n\nfix next\n\nThe value is in collapsing noisy automation into one canonical ECC lane, not in preserving every historical path.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\automation-audit-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:debug"], "trigger_hints": "Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.", "mtime": 1776507629.4697304, "body_hash": "623a885d87b55b7d5f570a98e8b60ffa052513a2e0e9c71ad281be0e19edfbde", "alias_sources": []}
{"id": "f0c5e721578aaddd", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThe CDSS engine is a **pure function library with zero side effects**. Input clinical data, output alerts. This makes it fully testable.\n\nThree primary modules:\n\n**`checkInteractions(newDrug, currentMeds, allergies)`** \u2014 Checks a new drug against current medications and known allergies. Returns severity-sorted `InteractionAlert[]`. Uses `DrugInteractionPair` data model.\n\n**`validateDose(drug, dose, route, weight, age, renalFunction)`** \u2014 Validates a prescribed dose against weight-based, age-adjusted, and renal-adjusted rules. Returns `DoseValidationResult`.\n\n**`calculateNEWS2(vitals)`** \u2014 National Early Warning Score 2 from `NEWS2Input`. Returns `NEWS2Result` with total score, risk level, and escalation guidance.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "8788309d43cd077521305218a5bf140beb9cc580648614fa417b79a2827e3e2b", "alias_sources": []}
{"id": "f0d5fdc9e6db732f", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Constants & Immutability (Con.*)", "All Rules"], "section_title": "All Rules", "section_body": "Constants & Immutability (Con.*)\n\nAll Rules\n\n| Rule | Summary |\n|------|---------|\n| **Con.1** | By default, make objects immutable |\n| **Con.2** | By default, make member functions `const` |\n| **Con.3** | By default, pass pointers and references to `const` |\n| **Con.4** | Use `const` for values that don't change after construction |\n| **Con.5** | Use `constexpr` for values computable at compile time |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "4d77ea5473fa4e293128f75104cc37e850c2a613579c1e64aeb2e6696fd4e0cc", "alias_sources": []}
{"id": "f0f3ad662f73e088", "skill_name": "search-first", "skill_description": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "skill_type": null, "section_path": ["/search-first \u2014 Research Before You Code"], "section_title": "/search-first \u2014 Research Before You Code", "section_body": "/search-first \u2014 Research Before You Code\n\nSystematizes the \"search for existing solutions before implementing\" workflow.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\search-first\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.", "mtime": 1776507630.037459, "body_hash": "9e236ceddb960fc0a461f95af0934796ea97111daacaedb8c669fdb830202322", "alias_sources": []}
{"id": "f0f5bf1715af6b4a", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Workflow", "4. Validate against the source pattern"], "section_title": "4. Validate against the source pattern", "section_body": "4. Validate against the source pattern\n\nThe new connector should look obvious in the codebase, not imported from a different ecosystem.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "15d5bb7eba3fc8cedc2def12ee4da83ccfe19a674edf9b5d480a4d9096a787ef", "alias_sources": []}
{"id": "f123f08c03829586", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns"], "section_title": "Backend Development Patterns", "section_body": "Backend Development Patterns\n\nBackend architecture patterns and best practices for scalable server-side applications.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend", "phase:plan"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "dc443f36a07d8441650cc380c79467d03b1a029a6536fa98ce64708ef339489b", "alias_sources": []}
{"id": "f12541d3d51f5e28", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`brand-voice` for source-derived voice profiles\n\n`crosspost` for platform-specific distribution\n\n`x-api` for sourcing recent posts and publishing approved X output", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "d301c34881f771f7d7544c2f2c1f6a64d20b0f138468090f0ae33bd0e8df1d14", "alias_sources": []}
{"id": "f1778537d555b608", "skill_name": "healthcare-cdss-patterns", "skill_description": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "skill_type": null, "section_path": ["Healthcare CDSS Development Patterns", "How It Works", "Testing CDSS (Zero Tolerance for False Negatives)"], "section_title": "Testing CDSS (Zero Tolerance for False Negatives)", "section_body": "Testing CDSS (Zero Tolerance for False Negatives)\n\nPass criteria: 100%. A single missed interaction is a patient safety event.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-cdss-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.", "mtime": 1776507629.7952044, "body_hash": "37c21676cdaa0004a6e56f294fb54aafb61bf8ed706de46d73d77b23569e4aa6", "alias_sources": []}
{"id": "f17b6e8c69a747f0", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "CI Commands"], "section_title": "CI Commands", "section_body": "Test Data Builders\n\nCI Commands\n\nMaven: `mvn -T 4 test` or `mvn verify`\n\nGradle: `./gradlew test jacocoTestReport`\n\n**Remember**: Keep tests fast, isolated, and deterministic. Test behavior, not implementation details.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "d0427e23a4d316cf6b44dc3f6fb1874ecf6800dd544f6fcd094d82ae2468b05d", "alias_sources": []}
{"id": "f186785cc0ca37d2", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Execution Rules"], "section_title": "Execution Rules", "section_body": "Execution Rules\n\npreserve the established design system when working inside an existing product\n\nmatch technical complexity to the visual idea\n\nkeep accessibility and responsiveness intact\n\nfrontends should feel deliberate on desktop and mobile", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "0da61523e7eec81375619d6af1c7e28f4df45b4ce131a74e6e55421f2cb47d6b", "alias_sources": []}
{"id": "f19361c51c266386", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Nested Routes and Binding Names"], "section_title": "Nested Routes and Binding Names", "section_body": "Nested Routes and Binding Names\n\nKeep prefixes and paths consistent to avoid double nesting (e.g., `conversation` vs `conversations`).\n\nUse a single parameter name that matches the bound model (e.g., `{conversation}` for `Conversation`).\n\nPrefer scoped bindings when nesting to enforce parent-child relationships.\n\nIf you want a parameter to resolve to a different model class, define explicit binding. For custom binding logic, use `Route::bind()` or implement `resolveRouteBinding()` on the model.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "c7438a7c22d86e1c29da14c43d417767f20cdbf0bfe9ef0053f5d57a2cee5620", "alias_sources": []}
{"id": "f1ad718962b3331d", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Example Workflows", "Meeting Prep Agent"], "section_title": "Meeting Prep Agent", "section_body": "Example Workflows\n\nAutonomous PR Reviewer\n\nPersonal Research Agent\n\nMeeting Prep Agent", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "84b85d1f29aacdab37654ad56b37d1d4dadb248f157436a3fb13384b298c835a", "alias_sources": []}
{"id": "f1fe34029b5e6334", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "Session and Cookie Hardening"], "section_title": "Session and Cookie Hardening", "section_body": "Session and Cookie Hardening\n\nSet `SESSION_HTTP_ONLY=true` to prevent JavaScript access\n\nUse `SESSION_SAME_SITE=strict` for high-risk flows\n\nRegenerate sessions on login and privilege changes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "5e517f07fb7930fc8f931c154b9579ceedad6307b7c124d65481a53cd53ac3d5", "alias_sources": []}
{"id": "f2202e590c2aa4bd", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Performance (Per.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Performance (Per.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **Per.1** | Don't optimize without reason |\n| **Per.2** | Don't optimize prematurely |\n| **Per.6** | Don't make claims about performance without measurements |\n| **Per.7** | Design to enable optimization |\n| **Per.10** | Rely on the static type system |\n| **Per.11** | Move computation from run time to compile time |\n| **Per.19** | Access memory predictably |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "f44cc7d5af61615e2bf4ed49d49b892ec9db35fa9c8519db261319f639916c80", "alias_sources": []}
{"id": "f25cb75d9d12459d", "skill_name": "springboot-tdd", "skill_description": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "skill_type": null, "section_path": ["Spring Boot TDD Workflow", "Persistence Tests (DataJpaTest)"], "section_title": "Persistence Tests (DataJpaTest)", "section_body": "Web Layer Tests (MockMvc)\n\nIntegration Tests (SpringBootTest)\n\nPersistence Tests (DataJpaTest)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-tdd\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring.", "mtime": 1776507630.1233816, "body_hash": "443d48b99ddfe3e79f89d62ce1299c217fa1c923401f7e2e8edc0d7a6f9fb044", "alias_sources": []}
{"id": "f276fee6f3d8ee2d", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "6. Ralphinho / RFC-Driven DAG Orchestration", "When to Use Ralphinho vs Simpler Patterns"], "section_title": "When to Use Ralphinho vs Simpler Patterns", "section_body": "When to Use Ralphinho vs Simpler Patterns\n\n| Signal | Use Ralphinho | Use Simpler Pattern |\n|--------|--------------|-------------------|\n| Multiple interdependent work units | Yes | No |\n| Need parallel implementation | Yes | No |\n| Merge conflicts likely | Yes | No (sequential is fine) |\n| Single-file change | No | Yes (sequential pipeline) |\n| Multi-day project | Yes | Maybe (continuous-claude) |\n| Spec/RFC already written | Yes | Maybe |\n| Quick iteration on one thing | No | Yes (NanoClaw or pipeline) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "aa4a342d78127fa469d1f1e5a4caec9489ab9f411be86807f3656ad2b8a6bc3a", "alias_sources": []}
{"id": "f278169dadfb8700", "skill_name": "github-ops", "skill_description": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "skill_type": null, "section_path": ["GitHub Operations", "PR Management", "Review Checklist"], "section_title": "Review Checklist", "section_body": "PR Management\n\nReview Checklist\n\nCheck CI status: `gh pr checks <number>`\n\nCheck if mergeable: `gh pr view <number> --json mergeable`\n\nCheck age and last activity\n\nFlag PRs >5 days with no review\n\nFor community PRs: ensure they have tests and follow conventions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\github-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.", "mtime": 1776507629.7851923, "body_hash": "cf8cdec93fc8839df9dc29cab776480cc738219ed20473ce0be967ef9cf48821", "alias_sources": []}
{"id": "f2a57d46f0130af7", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "API Design Patterns", "Service Layer Pattern"], "section_title": "Service Layer Pattern", "section_body": "API Design Patterns\n\nRESTful API Structure\n\nRepository Pattern\n\nService Layer Pattern", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:plan"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "4f8a8ca8526f405e8525f2b19b7e432e918f722c11c6d735218d4591c78ddfab", "alias_sources": []}
{"id": "f2b38bb6b203664d", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "What Makes a Good ADR", "Do"], "section_title": "Do", "section_body": "What Makes a Good ADR\n\nDo\n\n**Be specific** \u2014 \"Use Prisma ORM\" not \"use an ORM\"\n\n**Record the why** \u2014 the rationale matters more than the what\n\n**Include rejected alternatives** \u2014 future developers need to know what was considered\n\n**State consequences honestly** \u2014 every decision has trade-offs\n\n**Keep it short** \u2014 an ADR should be readable in 2 minutes\n\n**Use present tense** \u2014 \"We use X\" not \"We will use X\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "9be5eadd2ed5b07d8edd35ecc1a8eb05496a6253fa2e0fc54726c2ef29d918aa", "alias_sources": []}
{"id": "f2bf3b1cd81f6635", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "Medication Safety Pattern"], "section_title": "Medication Safety Pattern", "section_body": "Medication Safety Pattern\n\nCritical interactions **block prescribing by default**. The clinician must explicitly override with a documented reason stored in the audit trail. The system never silently allows a critical interaction.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "5ceb5e124d1437ffb68c4c169c6db5fe246f61590cb7469afd5591c2abbb4220", "alias_sources": []}
{"id": "f2bf9911ac52dd18", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Custom Casts and Value Objects"], "section_title": "Custom Casts and Value Objects", "section_body": "Eloquent Model Patterns\n\nModel Configuration\n\nCustom Casts and Value Objects\n\nUse enums or value objects for strict typing.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "31560361dea4f0bac123d6c81c52af87d4d0f2f6c2eb869d085c12f6e40e0bfd", "alias_sources": []}
{"id": "f2c1c53653f49a68", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Quick Reference: Python Idioms"], "section_title": "Quick Reference: Python Idioms", "section_body": "Essential Commands\n\npyproject.toml Configuration\n\nQuick Reference: Python Idioms\n\n| Idiom | Description |\n|-------|-------------|\n| EAFP | Easier to Ask Forgiveness than Permission |\n| Context managers | Use `with` for resource management |\n| List comprehensions | For simple transformations |\n| Generators | For lazy evaluation and large datasets |\n| Type hints | Annotate function signatures |\n| Dataclasses | For data containers with auto-generated methods |\n| `__slots__` | For memory optimization |\n| f-strings | For string formatting (Python 3.6+) |\n| `pathlib.Path` | For path operations (Python 3.4+) |\n| `enumerate` | For index-element pairs in loops |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "0f833eaa0b0de9efa271579e5d41cd28a74d0e5e2bb25561a61789d7bbc958c4", "alias_sources": []}
{"id": "f312d2b7b8204ddc", "skill_name": "frontend-patterns", "skill_description": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "skill_type": null, "section_path": ["Frontend Development Patterns", "Accessibility Patterns", "Focus Management"], "section_title": "Focus Management", "section_body": "Accessibility Patterns\n\nKeyboard Navigation\n\nFocus Management\n\n**Remember**: Modern frontend patterns enable maintainable, performant user interfaces. Choose patterns that fit your project complexity.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.", "mtime": 1776507629.769616, "body_hash": "c1f41f3053ba07d315e1a0d63f76d1fd9926d7f6ac8218b8b1d970a5c59018d4", "alias_sources": []}
{"id": "f338aa6058371c78", "skill_name": "gateguard", "skill_description": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "skill_type": null, "section_path": ["GateGuard \u2014 Fact-Forcing Pre-Action Gate", "Gate Types", "Destructive Bash Gate (every destructive command)"], "section_title": "Destructive Bash Gate (every destructive command)", "section_body": "Write Gate (first new file creation)\n\nDestructive Bash Gate (every destructive command)\n\nTriggers on: `rm -rf`, `git reset --hard`, `git push --force`, `drop table`, etc.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gateguard\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.", "mtime": 1776507629.7761927, "body_hash": "0fbc06ea611d531a88ab499c00066608621ca1923b4135f629835880327e66e8", "alias_sources": []}
{"id": "f344da0509e3b7ff", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Deliverable Checklist"], "section_title": "Deliverable Checklist", "section_body": "Deliverable Checklist\n\npresentation runs from a local file in a browser\n\nevery slide fits the viewport without scrolling\n\nstyle is distinctive and intentional\n\nanimation is meaningful, not noisy\n\nreduced motion is respected\n\nfile paths and customization points are explained at handoff", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:review"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "7e5586df8215d815988f679bdeb27dc2a588f2f235722dd85bf3b2f7cf4098c8", "alias_sources": []}
{"id": "f36b37e7f9aaaf20", "skill_name": "accessibility", "skill_description": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "skill_type": null, "section_path": ["Accessibility (WCAG 2.2)", "Core Concepts"], "section_title": "Core Concepts", "section_body": "Core Concepts\n\n**POUR Principles**: The foundation of WCAG (Perceivable, Operable, Understandable, Robust).\n\n**Semantic Mapping**: Using native elements over generic containers to provide built-in accessibility.\n\n**Accessibility Tree**: The representation of the UI that assistive technologies actually \"read.\"\n\n**Focus Management**: Controlling the order and visibility of the keyboard/screen reader cursor.\n\n**Labeling & Hints**: Providing context through `aria-label`, `accessibilityLabel`, and `contentDescription`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\accessibility\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).", "mtime": 1776507629.4452899, "body_hash": "cba78bfee270930026c676508a58e01054edf0d0ccf61817703841b2ec251b33", "alias_sources": []}
{"id": "f373998769084af1", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Anti-Patterns"], "section_title": "Anti-Patterns", "section_body": "Anti-Patterns\n\n**Remember**: Perl's flexibility is powerful but requires discipline. Use taint mode for web-facing code, validate all input with allowlists, use DBI placeholders for every query, and encode all output for its context. Defense in depth \u2014 never rely on a single layer.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "c99cb8931d8fbd207dd46e42fc67711a19d9fb441528ff23bde85334ad39e4aa", "alias_sources": []}
{"id": "f373d28e1566b1d6", "skill_name": "nodejs-keccak256", "skill_description": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "skill_type": null, "section_path": ["Node.js Keccak-256"], "section_title": "Node.js Keccak-256", "section_body": "Node.js Keccak-256\n\nEthereum uses Keccak-256, not the NIST-standardized SHA3 variant exposed by Node's `crypto.createHash('sha3-256')`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nodejs-keccak256\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.", "mtime": 1776507629.8874083, "body_hash": "c3bcea512c5acbc1bc19c11aca690b760bf6986212f5a7b96fe49d55c2e5e25a", "alias_sources": []}
{"id": "f37a284d4ef025b1", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Start with the cheapest model** and only route to expensive models when complexity thresholds are met\n\n**Set explicit budget limits** before processing batches \u2014 fail early rather than overspend\n\n**Log model selection decisions** so you can tune thresholds based on real data\n\n**Use prompt caching** for system prompts over 1024 tokens \u2014 saves both cost and latency\n\n**Never retry on authentication or validation errors** \u2014 only transient failures (network, rate limit, server error)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "79bd55d76f5a756c2c98eeb08d63b01ecd535ed85e5a5d5bbf2f434e13f4fc25", "alias_sources": []}
{"id": "f384d1a3b67d1ac7", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Replacing Hermes"], "section_title": "Replacing Hermes", "section_body": "Replacing Hermes\n\n| Hermes Component | ECC Equivalent | How |\n|------------------|---------------|-----|\n| Gateway/Router | Claude Code dispatch + crons | Scheduled tasks trigger agent sessions |\n| Memory System | Claude memory + MCP memory server | Built-in persistence + knowledge graph |\n| Tool Registry | MCP servers | Dynamically loaded tool providers |\n| Orchestration | ECC skills + agents | Skill definitions direct agent behavior |\n| Computer Use | computer-use MCP | Native browser and desktop control |\n| Context Manager | Session management + memory | ECC 2.0 session lifecycle |\n| Task Queue | Memory-persisted task list | TodoWrite + memory files |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "9409ad933383f76b68dbb07939ed02ecd521033f4c4517416fe7201036f538fa", "alias_sources": []}
{"id": "f390751d1aeb24ba", "skill_name": "inventory-demand-planning", "skill_description": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "skill_type": null, "section_path": ["Inventory Demand Planning", "Decision Frameworks", "Markdown Timing Decision"], "section_title": "Markdown Timing Decision", "section_body": "Markdown Timing Decision\n\n| Sell-Through at Season Midpoint | Action | Expected Margin Recovery |\n|---|---|---|\n| \u2265 80% of plan | Hold price. Reorder cautiously if weeks of supply < 3. | Full margin |\n| 60\u201379% of plan | Take 20\u201325% markdown. No reorder. | 70\u201380% of original margin |\n| 40\u201359% of plan | Take 30\u201340% markdown immediately. Cancel any open POs. | 50\u201365% of original margin |\n| < 40% of plan | Take 50%+ markdown. Explore liquidation channels. Flag buying error for post-mortem. | 30\u201345% of original margin |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\inventory-demand-planning\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.\n", "mtime": 1776507629.812462, "body_hash": "292ae7745e67de375ee26ba29ae43e592136f19ebdb7b286adcc239b3af29774", "alias_sources": []}
{"id": "f39fb3df0729f65c", "skill_name": "plankton-code-quality", "skill_description": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "skill_type": null, "section_path": ["Plankton Code Quality Skill", "ECC v1.8 Additions", "Config Tamper Guard"], "section_title": "Config Tamper Guard", "section_body": "Config Tamper Guard\n\nDuring quality enforcement, flag changes to config files in same iteration:\n\n`biome.json`, `.eslintrc*`, `prettier.config*`, `tsconfig.json`, `pyproject.toml`\n\nIf config is changed to suppress violations, require explicit review before merge.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\plankton-code-quality\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Write-time code quality enforcement using Plankton \u2014 auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.", "mtime": 1776507629.9133258, "body_hash": "c94a63be19a7861d8a755ee26497c3e2fcc05b0b325663ec8ba64a86cb14bd9e", "alias_sources": []}
{"id": "f3bb83cc8834f44f", "skill_name": "android-clean-architecture", "skill_description": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "skill_type": null, "section_path": ["Android Clean Architecture", "Domain Layer", "UseCase Pattern"], "section_title": "UseCase Pattern", "section_body": "Domain Layer\n\nUseCase Pattern\n\nEach UseCase represents one business operation. Use `operator fun invoke` for clean call sites:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\android-clean-architecture\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Clean Architecture patterns for Android and Kotlin Multiplatform projects \u2014 module structure, dependency rules, UseCases, Repositories, and data layer patterns.", "mtime": 1776507629.4593751, "body_hash": "856444f702bd4c3f5c1fdbbbb0935117553859108c3adf76313db8d366b61bd4", "alias_sources": []}
{"id": "f3cd4be195f583fd", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Philosophy & Interfaces (P.*, I.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Philosophy & Interfaces (P.*, I.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **P.1** | Express ideas directly in code |\n| **P.3** | Express intent |\n| **P.4** | Ideally, a program should be statically type safe |\n| **P.5** | Prefer compile-time checking to run-time checking |\n| **P.8** | Don't leak any resources |\n| **P.10** | Prefer immutable data to mutable data |\n| **I.1** | Make interfaces explicit |\n| **I.2** | Avoid non-const global variables |\n| **I.4** | Make interfaces precisely and strongly typed |\n| **I.11** | Never transfer ownership by a raw pointer or reference |\n| **I.23** | Keep the number of function arguments low |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "af8b88f31866942c7a6955a933cabf77236e3a975fd0c2d2a216ea747c7e6e9f", "alias_sources": []}
{"id": "f409aa87df63c1d1", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Communication Patterns", "Key Templates"], "section_title": "Key Templates", "section_body": "Key Templates\n\nBrief templates appear below. Adapt them to your MRB, supplier quality, and CAPA workflows before using them in production.\n\n**NCR Notification (internal):** Subject: `NCR-{number}: {part_number} \u2014 {defect_summary}`. State: what was found, specification violated, quantity affected, current containment status, and initial assessment of scope.\n\n**SCAR to Supplier:** Subject: `SCAR-{number}: Non-Conformance on PO# {po_number} \u2014 Response Required by {date}`. Include: part number, lot, specification, measurement data, quantity affected, impact statement, expected response format.\n\n**Customer Quality Notification:** Lead with: containment actions taken, product traceability (lot/serial numbers), recommended customer actions, timeline for corrective action, and direct contact for quality engineering.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "f27769d577862e0f5412505648dcaecd368a3cd7031fdfc91dc723ba92df392a", "alias_sources": []}
{"id": "f40ede18c7ca9c2e", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Platform Adaptation Rules", "YouTube"], "section_title": "YouTube", "section_body": "YouTube\n\nshow the result or tension early\n\norganize by argument or progression, not filler sections\n\nuse chaptering only when it helps clarity", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "1ff675be490dd7cd915f6c8c76a5c1c0891469b310e3ff448b1b1e1cf5ae986f", "alias_sources": []}
{"id": "f428b2d4b8ed27d5", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "How It Works", "Internal linking"], "section_title": "Internal linking", "section_body": "Internal linking\n\nlink from strong pages to pages you want to rank\n\nuse descriptive anchor text\n\navoid generic anchors when a more specific one is possible\n\nbackfill links from new pages to relevant existing ones", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "3cf4c043f9759470d9934262cfa21f36b6c6fecb2785cfe530cd025bc2b25c98", "alias_sources": []}
{"id": "f437b2d6fb7d51ee", "skill_name": "eval-harness", "skill_description": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "skill_type": null, "section_path": ["Eval Harness Skill", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up eval-driven development (EDD) for AI-assisted workflows\n\nDefining pass/fail criteria for Claude Code task completion\n\nMeasuring agent reliability with pass@k metrics\n\nCreating regression test suites for prompt or agent changes\n\nBenchmarking agent performance across model versions", "source_path": "CODEFORGE\\everything-claude-code\\skills\\eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles", "mtime": 1776507629.7402024, "body_hash": "5152a73bbaaf0b8af4fd088da1fc2f7f5b0b470476c5fbf7bbbc00af0f828aec", "alias_sources": []}
{"id": "f44bf07d73fb2b73", "skill_name": "documentation-lookup", "skill_description": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "skill_type": null, "section_path": ["Documentation Lookup (Context7)", "Examples", "Example: Supabase auth methods"], "section_title": "Example: Supabase auth methods", "section_body": "Example: Supabase auth methods\n\nCall **resolve-library-id** with `libraryName: \"Supabase\"`, `query: \"What are the auth methods?\"`.\n\nPick the Supabase docs library ID.\n\nCall **query-docs**; summarize the auth methods and show minimal examples from the fetched docs.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\documentation-lookup\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:docs"], "trigger_hints": "Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).", "mtime": 1776507629.71905, "body_hash": "e4bf20089c6489eadf93e20e560b100e5117d13f3793bdbdce4dc5bc5ad16e92", "alias_sources": []}
{"id": "f457c5960ed603e2", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "How It Works", "Principles"], "section_title": "Principles", "section_body": "How It Works\n\nPrinciples\n\nFix technical blockers before content optimization.\n\nOne page should have one clear primary search intent.\n\nPrefer long-term quality signals over manipulative patterns.\n\nMobile-first assumptions matter because indexing is mobile-first.\n\nRecommendations should be page-specific and implementable.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "7d82ac68ed45c3f269c5a9ba8f97501f0b1d07463154a39d8c3c09c9c81b056b", "alias_sources": []}
{"id": "f459276a7c81fc1e", "skill_name": "connections-optimizer", "skill_description": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "skill_type": null, "section_path": ["Connections Optimizer", "Modes", "`light-pass`"], "section_title": "`light-pass`", "section_body": "Modes\n\n`light-pass`\n\nprune only high-confidence low-value one-way follows\n\nsurface the rest for review\n\ngenerate a small add/follow list", "source_path": "CODEFORGE\\everything-claude-code\\skills\\connections-optimizer\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.", "mtime": 1776507629.5525517, "body_hash": "ad2261dd067ab3c434ede92bab3cf2f2b95b424b281777c5082fb60e0b1dfd3c", "alias_sources": []}
{"id": "f48120cccd0878c7", "skill_name": "agent-harness-construction", "skill_description": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "skill_type": null, "section_path": ["Agent Harness Construction", "Error Recovery Contract"], "section_title": "Error Recovery Contract", "section_body": "Error Recovery Contract\n\nFor every error path, include:\n\nroot cause hint\n\nsafe retry instruction\n\nexplicit stop condition", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-harness-construction\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.", "mtime": 1776507629.4492965, "body_hash": "e3175a82bb18b5d5e99683cf15b493ac46cc698189c7f62320df4c769a0b59c0", "alias_sources": []}
{"id": "f48df7730071515e", "skill_name": "carrier-relationship-management", "skill_description": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "skill_type": null, "section_path": ["Carrier Relationship Management", "Decision Frameworks", "Spot vs. Contract Decisions"], "section_title": "Spot vs. Contract Decisions", "section_body": "Spot vs. Contract Decisions\n\n**Stay on contract when:** The spread between contract and spot is <10%. You have consistent, predictable volume. Capacity is tightening (spot rates are rising). The lane is customer-critical with tight delivery windows.\n\n**Go to spot when:** Spot rates are >15% below your contract rate (market is soft). The lane is irregular (<1 load/week). You need one-time surge capacity beyond your routing guide. Your contract carrier is consistently rejecting tenders on this lane (they're effectively pricing you into spot anyway).\n\n**Renegotiate contract when:** The spread between your contract rate and DAT benchmark exceeds 15% for 60+ consecutive days. A carrier's tender acceptance drops below 75% for 30 days. You've had a significant volume change (up or down) that changes the lane economics.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\carrier-relationship-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.\n", "mtime": 1776507629.4912107, "body_hash": "7d0644f062adeb5d032b94036d72f1b412ca4e53224e790bf941ab8d05f50569", "alias_sources": []}
{"id": "f4989b2dceb6b383", "skill_name": "project-flow-ops", "skill_description": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "skill_type": null, "section_path": ["Project Flow Ops", "Good Use Cases"], "section_title": "Good Use Cases", "section_body": "Output Format\n\nReturn:\n\nGood Use Cases\n\n\"Audit the open PR backlog and tell me what to merge vs rebuild\"\n\n\"Map GitHub issues into our ECC 1.x and ECC 2.0 program lanes\"\n\n\"Check whether this needs a Linear issue or should stay GitHub-only\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\project-flow-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review"], "trigger_hints": "Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.", "mtime": 1776507629.9360204, "body_hash": "0983196e2144b3c11d0ade4a4747a0adf4c9e8246ba0b10d8f6bc8eb804aae2b", "alias_sources": []}
{"id": "f4b06cdb93a20558", "skill_name": "autonomous-loops", "skill_description": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "skill_type": null, "section_path": ["Autonomous Loops Skill", "2. NanoClaw REPL"], "section_title": "2. NanoClaw REPL", "section_body": "2. NanoClaw REPL\n\n**ECC's built-in persistent loop.** A session-aware REPL that calls `claude -p` synchronously with full conversation history.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-loops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Patterns and architectures for autonomous Claude Code loops \u2014 from simple sequential pipelines to RFC-driven multi-agent DAG systems.", "mtime": 1776507629.474243, "body_hash": "927d37d1bf19f4c2f38707363f7e5963dcbb792c8ddff7b1703012444a49ac16", "alias_sources": []}
{"id": "f4b130503d69ec8b", "skill_name": "frontend-design", "skill_description": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "skill_type": null, "section_path": ["Frontend Design", "Design Workflow", "3. Compose with intention"], "section_title": "3. Compose with intention", "section_body": "3. Compose with intention\n\nPrefer:\n\nasymmetry when it sharpens hierarchy\n\noverlap when it creates depth\n\nstrong whitespace when it clarifies focus\n\ndense layouts only when the product benefits from density\n\nAvoid defaulting to a symmetrical card grid unless it is clearly the right fit.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:plan"], "trigger_hints": "Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.", "mtime": 1776507629.7676175, "body_hash": "104fd87653db262e3425ead9a58385f61977e1d8d73cb3dd3383c7956a9ce2a2", "alias_sources": []}
{"id": "f4d2ff28bba35d49", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "Common Patterns", "Testing Database Operations"], "section_title": "Testing Database Operations", "section_body": "Common Patterns\n\nTesting API Endpoints (FastAPI/Flask)\n\nTesting Database Operations", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "f5f6d2c1548b495d205172d59bc33d9959c57292084bc35dbc8517666b682b59", "alias_sources": []}
{"id": "f4d9f646b1bd953a", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Commands"], "section_title": "Commands", "section_body": "Commands\n\n`/hookify [description]` - Create new rules (auto-analyzes conversation if no args)\n\n`/hookify-list` - View all rules in table format\n\n`/hookify-configure` - Toggle rules on/off interactively\n\n`/hookify-help` - Full documentation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "fb833a23637c3283ad9c66ad83a410bfbe5e47c34b99bd97adef475cd75a1e3a", "alias_sources": []}
{"id": "f4e152ac679f2d2b", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "When to Use", "When NOT to Use"], "section_title": "When NOT to Use", "section_body": "When NOT to Use\n\nImplementing new product features without test changes\n\nLarge-scale refactors unrelated to test coverage or failures\n\nPerformance tuning without test regressions to validate\n\nNon-C++ projects or non-test tasks", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "bd9715ce1c05bb5cdc7156e31484bca8c66e49a088d703ca1203ce6624c387a9", "alias_sources": []}
{"id": "f5020c91dd518b06", "skill_name": "golang-patterns", "skill_description": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "skill_type": null, "section_path": ["Go Development Patterns", "Quick Reference: Go Idioms"], "section_title": "Quick Reference: Go Idioms", "section_body": "Essential Commands\n\nRecommended Linter Configuration (.golangci.yml)\n\nQuick Reference: Go Idioms\n\n| Idiom | Description |\n|-------|-------------|\n| Accept interfaces, return structs | Functions accept interface params, return concrete types |\n| Errors are values | Treat errors as first-class values, not exceptions |\n| Don't communicate by sharing memory | Use channels for coordination between goroutines |\n| Make the zero value useful | Types should work without explicit initialization |\n| A little copying is better than a little dependency | Avoid unnecessary external dependencies |\n| Clear is better than clever | Prioritize readability over cleverness |\n| gofmt is no one's favorite but everyone's friend | Always format with gofmt/goimports |\n| Return early | Handle errors first, keep happy path unindented |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\golang-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.", "mtime": 1776507629.787701, "body_hash": "a78ee17f1ad74586d1808e93e25151b0197d5d20441cc4f26f420b5b01574be5", "alias_sources": []}
{"id": "f5674ef22ed9006e", "skill_name": "agent-sort", "skill_description": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "skill_type": null, "section_path": ["Agent Sort", "Core Workflow", "5. Create the optional library router"], "section_title": "5. Create the optional library router", "section_body": "5. Create the optional library router\n\nIf the project wants a searchable library surface, create:\n\n`.claude/skills/skill-library/SKILL.md`\n\nThat router should contain:\n\na short explanation of DAILY vs LIBRARY\n\ngrouped trigger keywords\n\nwhere the library references live\n\nDo not duplicate every skill body inside the router.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-sort\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.", "mtime": 1776507629.4532955, "body_hash": "9006c55a7ea59445843a62d2dc35776814e4da520f37b07dd3a1b54f573f7b07", "alias_sources": []}
{"id": "f567557ce78b0e40", "skill_name": "postgres-patterns", "skill_description": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "skill_type": null, "section_path": ["PostgreSQL Patterns", "Quick Reference", "Common Patterns"], "section_title": "Common Patterns", "section_body": "Common Patterns\n\n**Composite Index Order:**\n\n**Covering Index:**\n\n**Partial Index:**\n\n**RLS Policy (Optimized):**\n\n**UPSERT:**\n\n**Cursor Pagination:**\n\n**Queue Processing:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\postgres-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:data"], "trigger_hints": "PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.", "mtime": 1776507629.9189236, "body_hash": "2759a30cd94d5b55fd37e4cb8cb83786fd5e578cb4c061753bf574e3221880e1", "alias_sources": []}
{"id": "f5800be31ec1dea4", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Guardrails"], "section_title": "Guardrails", "section_body": "Guardrails\n\nresolve the source first:\n\nlocal messages\n\nX / social DM\n\nanother browser-gated message surface\n\ndo not claim a thread was checked without naming the source\n\ndo not improvise raw database access if a checked helper or standard path exists\n\nif auth or MFA blocks the surface, report the exact blocker", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "48d4ad5d574e9ee5470e4f2cd5d73f4f0e35845f040701a1e5435ddc34f59330", "alias_sources": []}
{"id": "f59d38689222d8f7", "skill_name": "continuous-learning-v2", "skill_description": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "skill_type": null, "section_path": ["Continuous Learning v2.1 - Instinct", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nSetting up automatic learning from Claude Code sessions\n\nConfiguring instinct-based behavior extraction via hooks\n\nTuning confidence thresholds for learned behaviors\n\nReviewing, exporting, or importing instinct libraries\n\nEvolving instincts into full skills, commands, or agents\n\nManaging project-scoped vs global instincts\n\nPromoting instincts from project to global scope", "source_path": "CODEFORGE\\everything-claude-code\\skills\\continuous-learning-v2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.", "mtime": 1776507629.5786436, "body_hash": "69689b18693ef18febeb9a36059edb3089ceae7f646405c5b544374accbfde76", "alias_sources": []}
{"id": "f5a66a246e4d41ec", "skill_name": "csharp-testing", "skill_description": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "skill_type": null, "section_path": ["C# Testing Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new tests for C# code\n\nReviewing test quality and coverage\n\nSetting up test infrastructure for .NET projects\n\nDebugging flaky or slow tests", "source_path": "CODEFORGE\\everything-claude-code\\skills\\csharp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.", "mtime": 1776507629.6611469, "body_hash": "a388489a6ef4e4fe4e214109742bdf106f86ba82dbbaccfc6295131fdf14d63d", "alias_sources": []}
{"id": "f5ab8aca9985bedc", "skill_name": "autonomous-agent-harness", "skill_description": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "skill_type": null, "section_path": ["Autonomous Agent Harness", "Core Components", "1. Persistent Memory"], "section_title": "1. Persistent Memory", "section_body": "Architecture\n\nCore Components\n\n1. Persistent Memory\n\nUse Claude Code's built-in memory system enhanced with MCP memory server for structured data.\n\n**Built-in memory** (`~/.claude/projects/*/memory/`):\n\nUser preferences, feedback, project context\n\nStored as markdown files with frontmatter\n\nAutomatically loaded at session start\n\n**MCP memory server** (structured knowledge graph):\n\nEntities, relations, observations\n\nQueryable graph structure\n\nCross-session persistence\n\n**Memory patterns:**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\autonomous-agent-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:mcp", "phase:plan"], "trigger_hints": "Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.", "mtime": 1776507629.4712367, "body_hash": "02c2e89e3b62a049d703bd4b956432fa38ca104c44538086c3e22f6e5a07bc7b", "alias_sources": []}
{"id": "f5b8a562a68178a9", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "Configuration", "Environment Variables"], "section_title": "Environment Variables", "section_body": "Configuration\n\nEnvironment Variables\n\n| Variable | Default | Description |\n|----------|---------|-------------|\n| `GAN_MAX_ITERATIONS` | `15` | Maximum generator-evaluator cycles |\n| `GAN_PASS_THRESHOLD` | `7.0` | Weighted score to pass (1-10) |\n| `GAN_PLANNER_MODEL` | `opus` | Model for planning agent |\n| `GAN_GENERATOR_MODEL` | `opus` | Model for generator agent |\n| `GAN_EVALUATOR_MODEL` | `opus` | Model for evaluator agent |\n| `GAN_EVAL_CRITERIA` | `design,originality,craft,functionality` | Comma-separated criteria |\n| `GAN_DEV_SERVER_PORT` | `3000` | Port for the live app |\n| `GAN_DEV_SERVER_CMD` | `npm run dev` | Command to start dev server |\n| `GAN_PROJECT_DIR` | `.` | Project working directory |\n| `GAN_SKIP_PLANNER` | `false` | Skip planner, use spec directly |\n| `GAN_EVAL_MODE` | `playwright` | `playwright`, `screenshot`, or `code-only` |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "c48edc31fdf573f1386a33f21ff1d3f1664187f5d7e22be37d3e15b9d0209c6c", "alias_sources": []}
{"id": "f5c876c0849bb850", "skill_name": "defi-amm-security", "skill_description": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "skill_type": null, "section_path": ["DeFi AMM Security", "Audit Tools"], "section_title": "Audit Tools", "section_body": "Audit Tools", "source_path": "CODEFORGE\\everything-claude-code\\skills\\defi-amm-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.", "mtime": 1776507629.679893, "body_hash": "88fbad40acb680452a9c808f91b2c411f1df0d9dcc5a1ffb74e8e7ca1ef44b7e", "alias_sources": []}
{"id": "f5dbd46626967f31", "skill_name": "springboot-verification", "skill_description": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "skill_type": null, "section_path": ["Spring Boot Verification Loop", "Phase 6: Diff Review"], "section_title": "Phase 6: Diff Review", "section_body": "Common Security Findings\n\nPhase 5: Lint/Format (optional gate)\n\nPhase 6: Diff Review\n\nChecklist:\n\nNo debugging logs left (`System.out`, `log.debug` without guards)\n\nMeaningful errors and HTTP statuses\n\nTransactions and validation present where needed\n\nConfig changes documented", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.", "mtime": 1776507630.1265666, "body_hash": "59815502541b20031519e7a630f990ec8c9c5fd530033ac6e4563c015e3df258", "alias_sources": []}
{"id": "f5dd2927ff94c4ae", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "Core Pattern", "1. Content-Hash Based Cache Key"], "section_title": "1. Content-Hash Based Cache Key", "section_body": "Core Pattern\n\n1. Content-Hash Based Cache Key\n\nUse file content (not path) as the cache key:\n\n**Why content hash?** File rename/move = cache hit. Content change = automatic invalidation. No index file needed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "a411c8016dee983bf4bbb55efdcd0be4f3e47d7272d1cd098b43082b2b1556d3", "alias_sources": []}
{"id": "f5e6f23a722037e5", "skill_name": "strategic-compact", "skill_description": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "skill_type": null, "section_path": ["Strategic Compact Skill", "Token Optimization Patterns", "Context Composition Awareness"], "section_title": "Context Composition Awareness", "section_body": "Context Composition Awareness\n\nMonitor what's consuming your context window:\n\n**CLAUDE.md files** \u2014 Always loaded, keep lean\n\n**Loaded skills** \u2014 Each skill adds 1-5K tokens\n\n**Conversation history** \u2014 Grows with each exchange\n\n**Tool results** \u2014 File reads, search results add bulk", "source_path": "CODEFORGE\\everything-claude-code\\skills\\strategic-compact\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.", "mtime": 1776507630.129575, "body_hash": "cccc6eaa2e8d5c7e29b481f0224714ae08cbba004e0bd6e04eec14e0bad0f25c", "alias_sources": []}
{"id": "f5ef3910d8d325f8", "skill_name": "quality-nonconformance", "skill_description": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "skill_type": null, "section_path": ["Quality & Non-Conformance Management", "Core Knowledge", "Supplier Quality Management"], "section_title": "Supplier Quality Management", "section_body": "Supplier Quality Management\n\n**Audit Methodology:** Process audits assess how work is done (observe, interview, sample). System audits assess QMS compliance (document review, record sampling). Product audits verify specific product characteristics. Use a risk-based audit schedule \u2014 high-risk suppliers annually, medium biennially, low every 3 years plus cause-based. Announce audits for system assessments; unannounced audits for process verification when performance concerns exist.\n\n**Supplier Scorecards:** Measure PPM (parts per million defective), on-time delivery, SCAR response time, SCAR effectiveness (recurrence rate), and lot acceptance rate. Weight the metrics by business impact. Share scorecards quarterly. Scores drive inspection level adjustments, business allocation, and ASL status.\n\n**Corrective Action Requests (CARs/SCARs):** Issue for each significant non-conformance or repeated minor non-conformances. Expect 8D or equivalent root cause analysis. Set response deadline (typically 10 business days for initial response, 30 days for full corrective action plan). Follow up on effectiveness verification.\n\n**Approved Supplier List (ASL):** Entry requires qualification (first article, capability study, system audit). Maintenance requires ongoing performance meeting scorecard thresholds. Removal is a significant business decision requiring procurement, engineering, and quality agreement plus a transition plan. Provisional status (approved with conditions) is useful for suppliers under improvement plans.\n\n**Develop vs. Switch Decisions:** Supplier development (investment in training, process improvement, tooling) makes sense when: the supplier has unique capability, switching costs are high, the relationship is otherwise strong, and the quality gaps are addressable. Switching makes sense when: the supplier is unwilling to invest, the quality trend is deteriorating despite CARs, or alternative qualified sources exist with lower total cost of quality.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\quality-nonconformance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.\n", "mtime": 1776507629.949272, "body_hash": "61505aad8bcdafbd4a1ac1d4d11334cc0a454c1107ebd4a1be47fee336bbd364", "alias_sources": []}
{"id": "f60c8712e4320973", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 3: Select & Install Rules"], "section_title": "Step 3: Select & Install Rules", "section_body": "Step 3: Select & Install Rules\n\nUse `AskUserQuestion` with `multiSelect: true`:\n\nExecute installation:\n\n**Important**: If the user selects any language-specific rules but NOT common rules, warn them:\n\n\"Language-specific rules extend the common rules. Installing without common rules may result in incomplete coverage. Install common rules too?\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "a5552d98ab46b9b5cbdf86461136137e65344c3c2c78c993685f3b095be3e4f4", "alias_sources": []}
{"id": "f64906c74782e58e", "skill_name": "flutter-dart-code-review", "skill_description": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "skill_type": null, "section_path": ["Flutter/Dart Code Review Best Practices", "9. Security", "Input validation:"], "section_title": "Input validation:", "section_body": "Input validation:\n\n[ ] All user input validated before sending to API\n\n[ ] Form validation uses proper validation patterns\n\n[ ] No raw SQL or string interpolation of user input\n\n[ ] Deep link URLs validated and sanitized before navigation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\flutter-dart-code-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:review"], "trigger_hints": "Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.", "mtime": 1776507629.7623444, "body_hash": "ccdd7e0f8ee7590906c1d6679b60a257a854f311844d6c63201a7373e38d1c28", "alias_sources": []}
{"id": "f65057df794fded0", "skill_name": "laravel-security", "skill_description": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "skill_type": null, "section_path": ["Laravel Security Best Practices", "CORS and API Exposure"], "section_title": "CORS and API Exposure", "section_body": "CORS and API Exposure\n\nRestrict origins in `config/cors.php`\n\nAvoid wildcard origins for authenticated routes", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.", "mtime": 1776507629.8430555, "body_hash": "3a08cb1e3a57566f20530438cdba74ccf336b228770df8483be3a934663e2563", "alias_sources": []}
{"id": "f65d5b55ad7e3be6", "skill_name": "api-connector-builder", "skill_description": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "skill_type": null, "section_path": ["API Connector Builder", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`backend-patterns`\n\n`mcp-server-patterns`\n\n`github-ops`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\api-connector-builder\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.", "mtime": 1776507629.460348, "body_hash": "dc672b0cb593b93b55e7a54f603adeb9751790991a34a282fca8041b214b89a6", "alias_sources": []}
{"id": "f667198ed28de2d9", "skill_name": "laravel-verification", "skill_description": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "skill_type": null, "section_path": ["Laravel Verification Loop", "Phase 6: Build and Deployment Readiness"], "section_title": "Phase 6: Build and Deployment Readiness", "section_body": "Phase 6: Build and Deployment Readiness\n\nEnsure cache warmups succeed in production configuration\n\nVerify queue workers and scheduler are configured\n\nConfirm `storage/` and `bootstrap/cache/` are writable in the target environment", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-verification\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.", "mtime": 1776507629.849584, "body_hash": "f3f9147c92f57997febeb163b53f9fc00243e16ea60ad98b54a4861542315f06", "alias_sources": []}
{"id": "f677fa38a85e1685", "skill_name": "healthcare-eval-harness", "skill_description": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "skill_type": null, "section_path": ["Healthcare Eval Harness \u2014 Patient Safety Verification", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nThe eval harness runs five test categories in order. The first three (CDSS Accuracy, PHI Exposure, Data Integrity) are CRITICAL gates requiring 100% pass rate \u2014 a single failure blocks deployment. The remaining two (Clinical Workflow, Integration) are HIGH gates requiring 95%+ pass rate.\n\nEach category maps to a Jest test path pattern. The CI pipeline runs CRITICAL gates with `--bail` (stop on first failure) and enforces coverage thresholds with `--coverage --coverageThreshold`.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-eval-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.", "mtime": 1776507629.8022158, "body_hash": "6d96d8f0dff22bb21740538ce51b57785b8c84380da589efe02b16359731a926", "alias_sources": []}
{"id": "f689b3be126adbe5", "skill_name": "ai-regression-testing", "skill_description": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "skill_type": null, "section_path": ["AI Regression Testing", "Integrating Tests into Bug-Check Workflow", "The Workflow"], "section_title": "The Workflow", "section_body": "Integrating Tests into Bug-Check Workflow\n\nCustom Command Definition\n\nThe Workflow", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ai-regression-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:debug"], "trigger_hints": "Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.", "mtime": 1776507629.4583507, "body_hash": "e62c0587dc52743d64fda58e37c97c4971f654ca4b1935bb0c58fc91ea66f9d0", "alias_sources": []}
{"id": "f6aedf2da570fdbf", "skill_name": "dotnet-patterns", "skill_description": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "skill_type": null, "section_path": [".NET Development Patterns", "Core Principles", "2. Explicit Over Implicit"], "section_title": "2. Explicit Over Implicit", "section_body": "2. Explicit Over Implicit\n\nBe clear about nullability, access modifiers, and intent.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\dotnet-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.", "mtime": 1776507629.721086, "body_hash": "be346ab8b67da16864dcd07320612db1789a52f1ee373187a1e27e4826e71929", "alias_sources": []}
{"id": "f6bb418a8f96609f", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Modern OO with Moo"], "section_title": "Modern OO with Moo", "section_body": "Modern OO with Moo\n\nPrefer Moo for lightweight, modern OO. Use Moose only when its metaprotocol is needed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "7c0f28cac7cf0fc9da7246e10876e9bb3317efe188df713723d7e0412c52512a", "alias_sources": []}
{"id": "f6ec35aba7a036a8", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns", "CI Integration"], "section_title": "CI Integration", "section_body": "CI Integration\n\n**Remember**: Tests are documentation. They show how your code is meant to be used. Write them clearly and keep them up to date.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:docs"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "bea75df7671f018051d7156615f0f6a021724f772e9bea8bde857db3bd123f2e", "alias_sources": []}
{"id": "f70b918bcd10f757", "skill_name": "regex-vs-llm-structured-text", "skill_description": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "skill_type": null, "section_path": ["Regex vs LLM for Structured Text Parsing", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Start with regex** \u2014 even imperfect regex gives you a baseline to improve\n\n**Use confidence scoring** to programmatically identify what needs LLM help\n\n**Use the cheapest LLM** for validation (Haiku-class models are sufficient)\n\n**Never mutate** parsed items \u2014 return new instances from cleaning/validation steps\n\n**TDD works well** for parsers \u2014 write tests for known patterns first, then edge cases\n\n**Log metrics** (regex success rate, LLM call count) to track pipeline health", "source_path": "CODEFORGE\\everything-claude-code\\skills\\regex-vs-llm-structured-text\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:test"], "trigger_hints": "Decision framework for choosing between regex and LLM when parsing structured text \u2014 start with regex, add LLM only for low-confidence edge cases.", "mtime": 1776507629.9512713, "body_hash": "7d402dd0c4bf8f512c10c3d565a2462ab6d86592ca05e6c40e4f82f4791c1b67", "alias_sources": []}
{"id": "f71dbec4e589caa7", "skill_name": "git-workflow", "skill_description": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "skill_type": null, "section_path": ["Git Workflow Patterns", "Branching Strategies", "When to Use Which"], "section_title": "When to Use Which", "section_body": "When to Use Which\n\n| Strategy | Team Size | Release Cadence | Best For |\n|----------|-----------|-----------------|----------|\n| GitHub Flow | Any | Continuous | SaaS, web apps, startups |\n| Trunk-Based | 5+ experienced | Multiple/day | High-velocity teams, feature flags |\n| GitFlow | 10+ | Scheduled | Enterprise, regulated industries |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\git-workflow\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build", "phase:deploy"], "trigger_hints": "Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.", "mtime": 1776507629.7791958, "body_hash": "086572830a61d4dbabcda8d7d5355114fc4652f990485833bde0eff15179f1a3", "alias_sources": []}
{"id": "f73e30b67a5dfd07", "skill_name": "market-research", "skill_description": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "skill_type": null, "section_path": ["Market Research", "Common Research Modes", "Technology / Vendor Research"], "section_title": "Technology / Vendor Research", "section_body": "Technology / Vendor Research\n\nCollect:\n\nhow it works\n\ntrade-offs and adoption signals\n\nintegration complexity\n\nlock-in, security, compliance, and operational risk", "source_path": "CODEFORGE\\everything-claude-code\\skills\\market-research\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.", "mtime": 1776507629.8711455, "body_hash": "0cb13480b218a5ef2395e0a807045cc42c1b0a14bb73bdc0716c12d1a14218e8", "alias_sources": []}
{"id": "f760d41e97f40f66", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Set budgets before delegation**: When spawning sub-agents, attach a SpendingPolicy via your orchestration layer. Never give an agent unlimited spend.\n\n**Pin your dependencies**: Always specify an exact version in your MCP config (e.g., `agentwallet-sdk@6.0.0`). Verify package integrity before deploying to production.\n\n**Audit trails**: Use `list_transactions` in post-task hooks to log what was spent and why.\n\n**Fail closed**: If the payment tool is unreachable, block the paid action \u2014 don't fall back to unmetered access.\n\n**Pair with security-review**: Payment tools are high-privilege. Apply the same scrutiny as shell access.\n\n**Test with testnets first**: Use Base Sepolia for development; switch to Base mainnet for production.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:test", "phase:review"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "dfb83083dcea7633ea7ae59082c96aa3cca596ef44a8485223f7df9504ffdc3d", "alias_sources": []}
{"id": "f7752ee7a771c950", "skill_name": "x-api", "skill_description": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "skill_type": null, "section_path": ["X API", "Integration with Content Engine"], "section_title": "Integration with Content Engine", "section_body": "Integration with Content Engine\n\nUse `brand-voice` plus `content-engine` to generate platform-native content, then post via X API:\n\nPull recent original posts when voice matching matters\n\nBuild or reuse a `VOICE PROFILE`\n\nGenerate content with `content-engine` in X-native format\n\nValidate length and thread structure\n\nReturn the draft for approval unless the user explicitly asked to post now\n\nPost via X API only after approval\n\nTrack engagement via public_metrics", "source_path": "CODEFORGE\\everything-claude-code\\skills\\x-api\\SKILL.md", "source_root": "ecc", "tags": ["domain:api", "phase:build"], "trigger_hints": "X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.", "mtime": 1776507630.192011, "body_hash": "5e6f9aa149e674e2b5b310fd18e5be0df89e873142dd1278bb909d8b9db35b6c", "alias_sources": []}
{"id": "f7a26fbddb6edce1", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Implementation Requirements", "JavaScript"], "section_title": "JavaScript", "section_body": "JavaScript\n\nInclude:\n\nkeyboard navigation\n\ntouch / swipe navigation\n\nmouse wheel navigation\n\nprogress indicator or slide index\n\nreveal-on-enter animation triggers", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "37a3d15d0e13cf0136d2e578a06da851ca3edbc11525a12f15cd06ad2d2d8d0b", "alias_sources": []}
{"id": "f8433c91be1f22ce", "skill_name": "nestjs-patterns", "skill_description": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "skill_type": null, "section_path": ["NestJS Development Patterns", "Persistence and Transactions"], "section_title": "Persistence and Transactions", "section_body": "Persistence and Transactions\n\nKeep repository / ORM code behind providers that speak domain language.\n\nFor Prisma or TypeORM, isolate transactional workflows in services that own the unit of work.\n\nDo not let controllers coordinate multi-step writes directly.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nestjs-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.", "mtime": 1776507629.8818736, "body_hash": "06221083be81ccd4067f43e259fd09d69514d0420535f0ac44f7dcfbccc91134", "alias_sources": []}
{"id": "f847261f53f3d90d", "skill_name": "customer-billing-ops", "skill_description": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "skill_type": null, "section_path": ["Customer Billing Ops", "Workflow", "5. Produce the operator handoff"], "section_title": "5. Produce the operator handoff", "section_body": "5. Produce the operator handoff\n\nEnd with:\n\ncustomer state summary\n\naction taken\n\nrevenue impact\n\nfollow-up text to send\n\nproduct or backlog issue to create", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customer-billing-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.", "mtime": 1776507629.663143, "body_hash": "82444630274407307b453789e6d2e93571c518ff82e3cfbbcab200a02d503858", "alias_sources": []}
{"id": "f850a3cf1dab6c98", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "How It Works", "Step 3 \u2014 Present depth options"], "section_title": "Step 3 \u2014 Present depth options", "section_body": "Step 3 \u2014 Present depth options\n\nPresent this block **before** answering, using the actual estimated numbers:\n\nLevel token estimates (within the response window):\n\n25%  \u2192 `min + (max - min) \u00d7 0.25`\n\n50%  \u2192 `min + (max - min) \u00d7 0.50`\n\n75%  \u2192 `min + (max - min) \u00d7 0.75`\n\n100% \u2192 `max`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "ab46a0e5ebd1b0a3ab2d5a067e92a3d6158cd10ed6ab5d92ac3f80df0303560a", "alias_sources": []}
{"id": "f85ee5f3ffacc21d", "skill_name": "healthcare-emr-patterns", "skill_description": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "skill_type": null, "section_path": ["Healthcare EMR Development Patterns", "How It Works", "UI Patterns for Clinical Data"], "section_title": "UI Patterns for Clinical Data", "section_body": "UI Patterns for Clinical Data\n\n**Vitals Display:** Current values with normal range highlighting (green/yellow/red), trend arrows vs previous, clinical scoring auto-calculated (NEWS2, qSOFA), escalation guidance inline.\n\n**Lab Results Display:** Normal range highlighting, previous value comparison, critical values with non-dismissable alert, collection/analysis timestamps, pending orders with expected turnaround.\n\n**Prescription PDF:** One-click generation with patient demographics, allergies, diagnosis, drug details (generic + brand, dose, route, frequency, duration), clinician signature block.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\healthcare-emr-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.", "mtime": 1776507629.800215, "body_hash": "57b6911097c5692b0c0fce9d292d08cab9ea0a79f5f5af7c09bad206ac407a5b", "alias_sources": []}
{"id": "f86d607733dd90cc", "skill_name": "foundation-models-on-device", "skill_description": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "skill_type": null, "section_path": ["FoundationModels: On-Device LLM (iOS 26)", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nBuilding AI-powered features using Apple Intelligence on-device\n\nGenerating or summarizing text without cloud dependency\n\nExtracting structured data from natural language input\n\nImplementing custom tool calling for domain-specific AI actions\n\nStreaming structured responses for real-time UI updates\n\nNeed privacy-preserving AI (no data leaves the device)", "source_path": "CODEFORGE\\everything-claude-code\\skills\\foundation-models-on-device\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Apple FoundationModels framework for on-device LLM \u2014 text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.", "mtime": 1776507629.7633443, "body_hash": "6b659dd3a9ccd0fd94db5ca42bfb2ad380cd1a62b9c5ecda64b5541a60d6a8eb", "alias_sources": []}
{"id": "f8b86e33911c421c", "skill_name": "cpp-coding-standards", "skill_description": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "skill_type": null, "section_path": ["C++ Coding Standards (C++ Core Guidelines)", "Standard Library (SL.*)", "Key Rules"], "section_title": "Key Rules", "section_body": "Standard Library (SL.*)\n\nKey Rules\n\n| Rule | Summary |\n|------|---------|\n| **SL.1** | Use libraries wherever possible |\n| **SL.2** | Prefer the standard library to other libraries |\n| **SL.con.1** | Prefer `std::array` or `std::vector` over C arrays |\n| **SL.con.2** | Prefer `std::vector` by default |\n| **SL.str.1** | Use `std::string` to own character sequences |\n| **SL.str.2** | Use `std::string_view` to refer to character sequences |\n| **SL.io.50** | Avoid `endl` (use `'\\n'` -- `endl` forces a flush) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-coding-standards\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.", "mtime": 1776507629.6440241, "body_hash": "5d0285b6de4a4c8cf151db0389b38357b5dbf851415ed25a722a880ff6bda66e", "alias_sources": []}
{"id": "f8d761a85e7d468e", "skill_name": "canary-watch", "skill_description": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "skill_type": null, "section_path": ["Canary Watch \u2014 Post-Deploy Monitoring", "Integration"], "section_title": "Integration", "section_body": "Output\n\nIntegration\n\nPair with:\n\n`/browser-qa` for pre-deploy verification\n\nHooks: add as a PostToolUse hook on `git push` to auto-check after deploys\n\nCI: run in GitHub Actions after deploy step", "source_path": "CODEFORGE\\everything-claude-code\\skills\\canary-watch\\SKILL.md", "source_root": "ecc", "tags": ["domain:devops", "phase:deploy"], "trigger_hints": "Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.", "mtime": 1776507629.4902108, "body_hash": "97d6e0cd4740b74595b47da6ffa48c36dbdf6a8aacdce28e764c77580f8ff2e0", "alias_sources": []}
{"id": "f8ff4eac6c8b5c62", "skill_name": "agent-payment-x402", "skill_description": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "skill_type": null, "section_path": ["Agent Payment Execution (x402)", "How It Works", "Spending Controls"], "section_title": "Spending Controls", "section_body": "Spending Controls\n\nEvery payment tool call enforces a `SpendingPolicy`:\n\n**Per-task budget** \u2014 max spend for a single agent action\n\n**Per-session budget** \u2014 cumulative limit across an entire session\n\n**Allowlisted recipients** \u2014 restrict which addresses/services the agent can pay\n\n**Rate limits** \u2014 max transactions per minute/hour", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-payment-x402\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Add x402 payment execution to AI agents \u2014 per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents need to pay for APIs, services, or other agents.", "mtime": 1776507629.451297, "body_hash": "3248ab69b5b95d4010aea589c468eb6e72ee9736b9c4ce027c5873a943c7dbb6", "alias_sources": []}
{"id": "f9045e310d160cce", "skill_name": "springboot-patterns", "skill_description": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "skill_type": null, "section_path": ["Spring Boot Development Patterns", "Observability"], "section_title": "Observability", "section_body": "Observability\n\nStructured logging (JSON) via Logback encoder\n\nMetrics: Micrometer + Prometheus/OTel\n\nTracing: Micrometer Tracing with OpenTelemetry or Brave backend", "source_path": "CODEFORGE\\everything-claude-code\\skills\\springboot-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.", "mtime": 1776507630.119422, "body_hash": "94ce34b3761e78d708079d35211ab89800b7e342b97609eccc554054204db941", "alias_sources": []}
{"id": "f9062d066bf15cf1", "skill_name": "hipaa-compliance", "skill_description": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "skill_type": null, "section_path": ["HIPAA Compliance", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nTreat HIPAA as an overlay on top of the broader healthcare privacy skill:\n\nStart with `healthcare-phi-compliance` for the concrete implementation rules.\n\nApply HIPAA-specific decision gates:\n\nIs this data PHI?\n\nIs this actor a covered entity or business associate?\n\nDoes a vendor or model provider require a BAA before touching the data?\n\nIs access limited to the minimum necessary scope?\n\nAre read/write/export events auditable?\n\nEscalate to `healthcare-reviewer` if the task affects patient safety, clinical workflows, or regulated production architecture.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hipaa-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:build"], "trigger_hints": "HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.", "mtime": 1776507629.8084614, "body_hash": "27cda1c3ab2e30156b01f56c3fa1953e140f699b2d8f95ed4a79c07f831a4f88", "alias_sources": []}
{"id": "f92c2909a355a0fe", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "Phase 3: Record"], "section_title": "Phase 3: Record", "section_body": "Phase 3: Record\n\nOnly after discovery and rehearsal pass should you create the recording.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "867e386c32aef23c9b616beff117f6af7078575dd443b546bdbc937b752d2c07", "alias_sources": []}
{"id": "f92c641d46315938", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "Extending Horizontal Scrolling Under Sidebar"], "section_title": "Extending Horizontal Scrolling Under Sidebar", "section_body": "Extending Horizontal Scrolling Under Sidebar\n\nTo allow horizontal scroll content to extend under a sidebar or inspector, ensure the `ScrollView` content reaches the leading/trailing edges of the container. The system automatically handles the under-sidebar scrolling behavior when the layout extends to the edges \u2014 no additional modifier is needed.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "995b9835bc7bf1770319bb73bc529f467df106748689b13b105dae1fae2edbf0", "alias_sources": []}
{"id": "f94755f91242605a", "skill_name": "e2e-testing", "skill_description": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "skill_type": null, "section_path": ["E2E Testing Patterns", "Playwright Configuration"], "section_title": "Playwright Configuration", "section_body": "Test File Organization\n\nPage Object Model (POM)\n\nTest Structure\n\nPlaywright Configuration", "source_path": "CODEFORGE\\everything-claude-code\\skills\\e2e-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.", "mtime": 1776507629.7220857, "body_hash": "850892c143fda5821aa15146fd6522cb9e9acfc37e2f94275ac7193426b4352b", "alias_sources": []}
{"id": "f9529914e669e164", "skill_name": "energy-procurement", "skill_description": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "skill_type": null, "section_path": ["Energy Procurement", "Communication Patterns", "Internal Stakeholders"], "section_title": "Internal Stakeholders", "section_body": "Internal Stakeholders\n\n**Finance/treasury:** Quantify decisions in terms of budget impact, variance, and risk. \"This block-and-index structure provides 75% budget certainty with a modeled worst-case variance of \u00b1$400K against a $12M annual energy budget.\"\n\n**Sustainability:** Map procurement decisions to Scope 2 targets. \"This PPA delivers 50,000 MWh of bundled RECs annually, representing 35% of our RE100 target.\"\n\n**Operations:** Focus on operational requirements and constraints. \"We need to reduce peak demand by 400 kW during summer afternoons \u2014 here are three options that don't affect production schedules.\"\n\nUse the communication examples here as starting points and adapt them to your supplier, utility, and executive stakeholder workflows.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\energy-procurement\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.\n", "mtime": 1776507629.7316453, "body_hash": "bf57aee3f6a27487b270259b79f8760185ab6b49c2da5f19ebb1e70f4b1777a3", "alias_sources": []}
{"id": "f956f423112ec8e5", "skill_name": "article-writing", "skill_description": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "skill_type": null, "section_path": ["Article Writing"], "section_title": "Article Writing", "section_body": "Article Writing\n\nWrite long-form content that sounds like an actual person with a point of view, not an LLM smoothing itself into paste.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\article-writing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.", "mtime": 1776507629.4653485, "body_hash": "6b8e5aed66bd736c52c135945327dc73266b8f993704241b0d3478158b64e330", "alias_sources": []}
{"id": "f9de7602cfe17b0f", "skill_name": "architecture-decision-records", "skill_description": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "skill_type": null, "section_path": ["Architecture Decision Records", "Integration with Other Skills"], "section_title": "Integration with Other Skills", "section_body": "Integration with Other Skills\n\n**Planner agent**: when the planner proposes architecture changes, suggest creating an ADR\n\n**Code reviewer agent**: flag PRs that introduce architectural changes without a corresponding ADR", "source_path": "CODEFORGE\\everything-claude-code\\skills\\architecture-decision-records\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.", "mtime": 1776507629.4623506, "body_hash": "3e722072fb4b563d0c904864f1494fa77569683943118ac7b2f36dd3efc51aec", "alias_sources": []}
{"id": "f9ef98874d86c3cf", "skill_name": "seo", "skill_description": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "skill_type": null, "section_path": ["SEO", "Related Skills"], "section_title": "Related Skills", "section_body": "Related Skills\n\n`seo-specialist`\n\n`frontend-patterns`\n\n`brand-voice`\n\n`market-research`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\seo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Audit, plan, and implement SEO improvements across technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy. Use when the user wants better search visibility, SEO remediation, schema markup, sitemap/robots work, or keyword mapping.", "mtime": 1776507630.0603638, "body_hash": "4fa5231ac2fe062387a5109a4243279ca85c6080d8d2904d740f94f8be703171", "alias_sources": []}
{"id": "f9fb48f7b5e87c99", "skill_name": "unified-notifications-ops", "skill_description": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "skill_type": null, "section_path": ["Unified Notifications Ops", "Default Severity Model"], "section_title": "Default Severity Model", "section_body": "Default Severity Model\n\n| Class | Examples | Default handling |\n| --- | --- | --- |\n| Critical | broken default-branch CI, security issue, blocked release, failed deploy | interrupt now |\n| High | review requested, failing PR, owner-blocking handoff | same-day alert |\n| Medium | issue state changes, notable comments, backlog movement | digest or queue |\n| Low | repeat successes, routine churn, redundant lifecycle markers | suppress or fold |\n\nIf the workspace has no severity model, build one before proposing automation.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\unified-notifications-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:build", "phase:review", "phase:deploy"], "trigger_hints": "Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.", "mtime": 1776507630.1625242, "body_hash": "99fa59916ed3092135e59a8ad65f02acc19a9a57600995bcb374811436a4e2a1", "alias_sources": []}
{"id": "fa03db55983762eb", "skill_name": "agentic-engineering", "skill_description": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "skill_type": null, "section_path": ["Agentic Engineering", "Cost Discipline"], "section_title": "Cost Discipline", "section_body": "Cost Discipline\n\nTrack per task:\n\nmodel\n\ntoken estimate\n\nretries\n\nwall-clock time\n\nsuccess/failure\n\nEscalate model tier only when lower tier fails with a clear reasoning gap.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agentic-engineering\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.", "mtime": 1776507629.4542964, "body_hash": "355fa1b0fc16f28bc0eba8561a83013bb71247e125c569ee5ef1a3304b56e7af", "alias_sources": []}
{"id": "fa0a5ba55c019161", "skill_name": "python-patterns", "skill_description": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "skill_type": null, "section_path": ["Python Development Patterns", "Decorators", "Parameterized Decorators"], "section_title": "Parameterized Decorators", "section_body": "Data Classes with Validation\n\nNamed Tuples\n\nDecorators\n\nFunction Decorators\n\nParameterized Decorators", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:python"], "trigger_hints": "Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.", "mtime": 1776507629.9420245, "body_hash": "9728e416a48942a70d537374f3d89196cd2c177f93b0713210f73a2236ebe9f1", "alias_sources": []}
{"id": "fa0f04b07cfcc06c", "skill_name": "laravel-plugin-discovery", "skill_description": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "skill_type": null, "section_path": ["Laravel Plugin Discovery", "MCP Tools", "SearchPluginTool"], "section_title": "SearchPluginTool", "section_body": "MCP Tools\n\nThe LaraPlugins MCP provides two primary tools:\n\nSearchPluginTool\n\nSearch packages by keyword, health score, vendor, and version compatibility.\n\n**Parameters:**\n\n`text_search` (string, optional): Keyword to search (e.g. \"permission\", \"admin\", \"api\")\n\n`health_score` (string, optional): Filter by health band \u2014 `Healthy`, `Medium`, `Unhealthy`, or `Unrated`\n\n`laravel_compatibility` (string, optional): Filter by Laravel version \u2014 `\"5\"`, `\"6\"`, `\"7\"`, `\"8\"`, `\"9\"`, `\"10\"`, `\"11\"`, `\"12\"`, `\"13\"`\n\n`php_compatibility` (string, optional): Filter by PHP version \u2014 `\"7.4\"`, `\"8.0\"`, `\"8.1\"`, `\"8.2\"`, `\"8.3\"`, `\"8.4\"`, `\"8.5\"`\n\n`vendor_filter` (string, optional): Filter by vendor name (e.g. \"spatie\", \"laravel\")\n\n`page` (number, optional): Page number for pagination", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-plugin-discovery\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.", "mtime": 1776507629.841055, "body_hash": "4d3af1ed5d758fe115e52ae9de912fa600dc08d1ebede84dc9d9466140338286", "alias_sources": []}
{"id": "fa38e19068ccf377", "skill_name": "swift-concurrency-6-2", "skill_description": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "skill_type": null, "section_path": ["Swift 6.2 Approachable Concurrency", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Start on MainActor** \u2014 write single-threaded code first, optimize later\n\n**Use `@concurrent` only for CPU-intensive work** \u2014 image processing, compression, complex computation\n\n**Enable MainActor inference mode** for app targets that are mostly single-threaded\n\n**Profile before offloading** \u2014 use Instruments to find actual bottlenecks\n\n**Protect globals with MainActor** \u2014 global/static mutable state needs actor isolation\n\n**Use isolated conformances** instead of `nonisolated` workarounds or `@Sendable` wrappers\n\n**Migrate incrementally** \u2014 enable features one at a time in build settings", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swift-concurrency-6-2\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:build"], "trigger_hints": "Swift 6.2 Approachable Concurrency \u2014 single-threaded by default, @concurrent for explicit background offloading, isolated conformances for main actor types.", "mtime": 1776507630.1390948, "body_hash": "9c65d6bcde75df34de148b2c2206af58773126f17d2889aef09ccf6c11c71464", "alias_sources": []}
{"id": "fa3a5b5f8adf29b0", "skill_name": "data-scraper-agent", "skill_description": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "skill_type": null, "section_path": ["Data Scraper Agent"], "section_title": "Data Scraper Agent", "section_body": "Data Scraper Agent\n\nBuild a production-ready, AI-powered data collection agent for any public data source.\nRuns on a schedule, enriches results with a free LLM, stores to a database, and improves over time.\n\n**Stack: Python \u00b7 Gemini Flash (free) \u00b7 GitHub Actions (free) \u00b7 Notion / Sheets / Supabase**", "source_path": "CODEFORGE\\everything-claude-code\\skills\\data-scraper-agent\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:build"], "trigger_hints": "Build a fully automated AI-powered data collection agent for any public source \u2014 job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.", "mtime": 1776507629.6744275, "body_hash": "72f93ac630606dfd34aa1cd562261507be0966fa364a22b84e5b8fd44eb08ad4", "alias_sources": []}
{"id": "fa65b9f43e99f126", "skill_name": "kotlin-exposed-patterns", "skill_description": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "skill_type": null, "section_path": ["Kotlin Exposed Patterns", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nSetting up database access with Exposed\n\nWriting SQL queries using Exposed DSL or DAO\n\nConfiguring connection pooling with HikariCP\n\nCreating database migrations with Flyway\n\nImplementing the repository pattern with Exposed\n\nHandling JSON columns and complex queries", "source_path": "CODEFORGE\\everything-claude-code\\skills\\kotlin-exposed-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:kotlin"], "trigger_hints": "JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.", "mtime": 1776507629.830504, "body_hash": "1c52f0d33811d17e8776c4c5b79131a7e7501dbb739082fb242f364ac5e93c22", "alias_sources": []}
{"id": "fa75457f6fd670b6", "skill_name": "swiftui-patterns", "skill_description": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "skill_type": null, "section_path": ["SwiftUI Patterns", "State Management", "Environment Injection"], "section_title": "Environment Injection", "section_body": "View Consuming the ViewModel\n\nEnvironment Injection\n\nReplace `@EnvironmentObject` with `@Environment`:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\swiftui-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.", "mtime": 1776507630.143094, "body_hash": "8e0eae9e6be1a813d3bdea84ed74c336e0c08547c5bcf159cea00351178b2492", "alias_sources": []}
{"id": "fa7d292febabe259", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Decision Frameworks", "Classification Decision Logic"], "section_title": "Classification Decision Logic", "section_body": "Decision Frameworks\n\nClassification Decision Logic\n\nWhen classifying a product, follow this sequence without shortcuts. Convert it into an internal decision tree before automating any tariff-classification workflow.\n\n**Identify the good precisely.** Get the full technical specification \u2014 material composition, function, dimensions, and intended use. Never classify from a product name alone.\n\n**Determine the Section and Chapter.** Use the Section and Chapter notes to confirm or exclude. Chapter notes override heading text.\n\n**Apply GRI 1.** Read the heading terms literally. If only one heading covers the good, classification is decided.\n\n**If GRI 1 produces multiple candidate headings,** apply GRI 2 then GRI 3 in sequence. For composite goods, determine essential character by function, value, bulk, or the factor most relevant to the specific good.\n\n**Validate at the subheading level.** Apply GRI 6. Check subheading notes. Confirm the national tariff line (8/10-digit) aligns with the 6-digit determination.\n\n**Check for binding rulings.** Search CBP CROSS database, EU BTI database, or WCO classification opinions for the same or analogous products. Existing rulings are persuasive even if not directly binding.\n\n**Document the rationale.** Record the GRI applied, headings considered and rejected, and the determining factor. This documentation is your defence in an audit.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:review", "phase:docs"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "2a1f8ded7cf834ce8d329e2e7885f5539103e1d2afcd985ef57e7bdd33c73d66", "alias_sources": []}
{"id": "fa817531e4f3fcfc", "skill_name": "token-budget-advisor", "skill_description": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "skill_type": null, "section_path": ["Token Budget Advisor (TBA)", "How It Works", "Step 2 \u2014 Estimate response size by complexity"], "section_title": "Step 2 \u2014 Estimate response size by complexity", "section_body": "Step 2 \u2014 Estimate response size by complexity\n\nClassify the prompt, then apply the multiplier range to get the full response window:\n\n| Complexity   | Multiplier range | Example prompts                                      |\n|--------------|------------------|------------------------------------------------------|\n| Simple       | 3\u00d7 \u2013 8\u00d7          | \"What is X?\", yes/no, single fact                   |\n| Medium       | 8\u00d7 \u2013 20\u00d7         | \"How does X work?\"                                  |\n| Medium-High  | 10\u00d7 \u2013 25\u00d7        | Code request with context                           |\n| Complex      | 15\u00d7 \u2013 40\u00d7        | Multi-part analysis, comparisons, architecture      |\n| Creative     | 10\u00d7 \u2013 30\u00d7        | Stories, essays, narrative writing                  |\n\nResponse window = `input_tokens \u00d7 mult_min` to `input_tokens \u00d7 mult_max` (but don\u2019t exceed your model\u2019s configured output-token limit).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\token-budget-advisor\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: \"token budget\", \"token count\", \"token usage\", \"token limit\", \"response length\", \"answer depth\", \"short version\", \"brief answer\", \"detailed answer\", \"exhaustive answer\", \"respuesta corta vs larga\", \"cu\u00e1ntos tokens\", \"ahorrar tokens\", \"responde al 50%\", \"dame la versi\u00f3n corta\", \"quiero controlar cu\u00e1nto usas\", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or \"token\" refers to auth/session/payment tokens rather than response size.", "mtime": 1776507630.157564, "body_hash": "bf05e47a28ad1528766db49706ec478c17ed4b1ba9a7cefdf4ee4be494fe05ca", "alias_sources": []}
{"id": "fa82fa79c49b0fcc", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Sync Operations", "Workspace State Sync"], "section_title": "Workspace State Sync", "section_body": "Workspace State Sync\n\nMirror important workspace configuration and scripts to the knowledge base:\n\nGenerate directory maps\n\nRedact sensitive config before committing\n\nTrack changes over time\n\nDo not treat the knowledge base or archive folder as the live code workspace", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "fb3b32f619278a296f3d23b3cecd02164640ec32e240b9c0037c86f61d899859", "alias_sources": []}
{"id": "fabb3435dc7a2997", "skill_name": "customs-trade-compliance", "skill_description": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "skill_type": null, "section_path": ["Customs & Trade Compliance", "Core Knowledge", "Incoterms 2020"], "section_title": "Incoterms 2020", "section_body": "Incoterms 2020\n\nIncoterms define the transfer of costs, risk, and responsibility between buyer and seller. They are not law \u2014 they are contractual terms that must be explicitly incorporated. Critical compliance implications:\n\n**EXW (Ex Works):** Seller's minimum obligation. Buyer arranges everything. Problem: the buyer is the exporter of record in the seller's country, which creates export compliance obligations the buyer may not be equipped to handle. Rarely appropriate for international trade.\n\n**FCA (Free Carrier):** Seller delivers to carrier at named place. Seller handles export clearance. The 2020 revision allows the buyer to instruct their carrier to issue an on-board BOL to the seller \u2014 critical for letter of credit transactions.\n\n**CPT/CIP (Carriage Paid To / Carriage & Insurance Paid To):** Risk transfers at first carrier, but seller pays freight to destination. CIP now requires Institute Cargo Clauses (A) \u2014 all-risks coverage, a significant change from Incoterms 2010.\n\n**DAP (Delivered at Place):** Seller bears all risk and cost to the destination, excluding import clearance and duties. The seller does not clear customs in the destination country.\n\n**DDP (Delivered Duty Paid):** Seller bears everything including import duties and taxes. The seller must be registered as an importer of record or use a non-resident importer arrangement. Customs valuation is based on the DDP price minus duties (deductive method) \u2014 if the seller includes duty in the invoice price, it creates a circular valuation problem.\n\n**Valuation impact:** Incoterms affect the invoice structure, but customs valuation still follows the importing regime's rules. In the U.S., CBP transaction value generally excludes international freight and insurance; in the EU, customs value generally includes transport and insurance costs up to the place of entry into the Union. Getting this wrong changes the duty calculation even when the commercial term is clear.\n\n**Common misunderstandings:** Incoterms do not transfer title to goods \u2014 that is governed by the sale contract and applicable law. Incoterms do not apply to domestic-only transactions by default \u2014 they must be explicitly invoked. Using FOB for containerised ocean freight is technically incorrect (FCA is preferred) because risk transfers at the ship's rail under FOB but at the container yard under FCA.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\customs-trade-compliance\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test", "phase:deploy"], "trigger_hints": "Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.\n", "mtime": 1776507629.667279, "body_hash": "1946f7d63e4e517acd16fd56f55aa5eee074944ebbc357a0d15585b0e76b280c", "alias_sources": []}
{"id": "fafb329a153fdb56", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "Core Pattern", "3. File-Based Cache Storage"], "section_title": "3. File-Based Cache Storage", "section_body": "2. Frozen Dataclass for Cache Entry\n\n3. File-Based Cache Storage\n\nEach cache entry is stored as `{hash}.json` \u2014 O(1) lookup by hash, no index file required.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "fb1cfa0e3774c5b115d08d58e3f3b6ca4136676dc9013997761a9ca2ed22badb", "alias_sources": []}
{"id": "fafc07236df4542b", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "When to Use"], "section_title": "When to Use", "section_body": "Benchmark \u2014 Performance Baseline & Regression Detection\n\nWhen to Use\n\nBefore and after a PR to measure performance impact\n\nSetting up performance baselines for a project\n\nWhen users report \"it feels slow\"\n\nBefore a launch \u2014 ensure you meet performance targets\n\nComparing your stack against alternatives", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "6f60669cb11716f40d899dd79869f529355a4b0b0c0c7648d504c1841adc805e", "alias_sources": []}
{"id": "fb19e05d1b0b28b1", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "Inputs"], "section_title": "Inputs", "section_body": "Inputs\n\nCollect or infer:\n\ntarget people, companies, or ICP definition\n\nthe user's current graph on X, LinkedIn, or both\n\nweighting priorities such as role, industry, geography, and responsiveness\n\ntraversal depth and decay tolerance", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "529b4ea522e0e3fb905e0e7a6835a46430c8d31b287662abcc02d061836dd2f2", "alias_sources": []}
{"id": "fb29a3924eea39c9", "skill_name": "configure-ecc", "skill_description": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "skill_type": null, "section_path": ["Configure Everything Claude Code (ECC)", "Step 2: Select & Install Skills", "2c: Confirm Individual Skills"], "section_title": "2c: Confirm Individual Skills", "section_body": "2c: Confirm Individual Skills\n\nFor each selected category, print the full list of skills below and ask the user to confirm or deselect specific ones. If the list exceeds 4 items, print the list as text and use `AskUserQuestion` with an \"Install all listed\" option plus \"Other\" for the user to paste specific names.\n\n**Category: Framework & Language (21 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `backend-patterns` | Backend architecture, API design, server-side best practices for Node.js/Express/Next.js |\n| `coding-standards` | Universal coding standards for TypeScript, JavaScript, React, Node.js |\n| `django-patterns` | Django architecture, REST API with DRF, ORM, caching, signals, middleware |\n| `django-security` | Django security: auth, CSRF, SQL injection, XSS prevention |\n| `django-tdd` | Django testing with pytest-django, factory_boy, mocking, coverage |\n| `django-verification` | Django verification loop: migrations, linting, tests, security scans |\n| `laravel-patterns` | Laravel architecture patterns: routing, controllers, Eloquent, queues, caching |\n| `laravel-security` | Laravel security: auth, policies, CSRF, mass assignment, rate limiting |\n| `laravel-tdd` | Laravel testing with PHPUnit and Pest, factories, fakes, coverage |\n| `laravel-verification` | Laravel verification: linting, static analysis, tests, security scans |\n| `frontend-patterns` | React, Next.js, state management, performance, UI patterns |\n| `frontend-slides` | Zero-dependency HTML presentations, style previews, and PPTX-to-web conversion |\n| `golang-patterns` | Idiomatic Go patterns, conventions for robust Go applications |\n| `golang-testing` | Go testing: table-driven tests, subtests, benchmarks, fuzzing |\n| `java-coding-standards` | Java coding standards for Spring Boot: naming, immutability, Optional, streams |\n| `python-patterns` | Pythonic idioms, PEP 8, type hints, best practices |\n| `python-testing` | Python testing with pytest, TDD, fixtures, mocking, parametrization |\n| `springboot-patterns` | Spring Boot architecture, REST API, layered services, caching, async |\n| `springboot-security` | Spring Security: authn/authz, validation, CSRF, secrets, rate limiting |\n| `springboot-tdd` | Spring Boot TDD with JUnit 5, Mockito, MockMvc, Testcontainers |\n| `springboot-verification` | Spring Boot verification: build, static analysis, tests, security scans |\n\n**Category: Database (3 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `clickhouse-io` | ClickHouse patterns, query optimization, analytics, data engineering |\n| `jpa-patterns` | JPA/Hibernate entity design, relationships, query optimization, transactions |\n| `postgres-patterns` | PostgreSQL query optimization, schema design, indexing, security |\n\n**Category: Workflow & Quality (8 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `continuous-learning` | Legacy v1 Stop-hook session pattern extraction; prefer `continuous-learning-v2` for new installs |\n| `continuous-learning-v2` | Instinct-based learning with confidence scoring, evolves into skills, agents, and optional legacy command shims |\n| `eval-harness` | Formal evaluation framework for eval-driven development (EDD) |\n| `iterative-retrieval` | Progressive context refinement for subagent context problem |\n| `security-review` | Security checklist: auth, input, secrets, API, payment features |\n| `strategic-compact` | Suggests manual context compaction at logical intervals |\n| `tdd-workflow` | Enforces TDD with 80%+ coverage: unit, integration, E2E |\n| `verification-loop` | Verification and quality loop patterns |\n\n**Category: Business & Content (5 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `article-writing` | Long-form writing in a supplied voice using notes, examples, or source docs |\n| `content-engine` | Multi-platform social content, scripts, and repurposing workflows |\n| `market-research` | Source-attributed market, competitor, fund, and technology research |\n| `investor-materials` | Pitch decks, one-pagers, investor memos, and financial models |\n| `investor-outreach` | Personalized investor cold emails, warm intros, and follow-ups |\n\n**Category: Research & APIs (3 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `deep-research` | Multi-source deep research using firecrawl and exa MCPs with cited reports |\n| `exa-search` | Neural search via Exa MCP for web, code, company, and people research |\n| `claude-api` | Anthropic Claude API patterns: Messages, streaming, tool use, vision, batches, Agent SDK |\n\n**Category: Social & Content Distribution (2 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `x-api` | X/Twitter API integration for posting, threads, search, and analytics |\n| `crosspost` | Multi-platform content distribution with platform-native adaptation |\n\n**Category: Media Generation (2 skills)**\n\n| Skill | Description |\n|-------|-------------|\n| `fal-ai-media` | Unified AI media generation (image, video, audio) via fal.ai MCP |\n| `video-editing` | AI-assisted video editing for cutting, structuring, and augmenting real footage |\n\n**Category: Orchestration (1 skill)**\n\n| Skill | Description |\n|-------|-------------|\n| `dmux-workflows` | Multi-agent orchestration using dmux for parallel agent sessions |\n\n**Standalone**\n\n| Skill | Description |\n|-------|-------------|\n| `docs/examples/project-guidelines-template.md` | Template for creating project-specific skills |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\configure-ecc\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:plan", "phase:build", "phase:test", "phase:review", "phase:docs"], "trigger_hints": "Interactive installer for Everything Claude Code \u2014 guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.", "mtime": 1776507629.546552, "body_hash": "d5f280f884599c3bed470844a295ed55d76611720c707f719dfd43fffc672916", "alias_sources": []}
{"id": "fb7c0caba165141b", "skill_name": "nutrient-document-processing", "skill_description": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "skill_type": null, "section_path": ["Nutrient Document Processing", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nConverting documents between formats (PDF, DOCX, XLSX, PPTX, HTML, images)\n\nExtracting text, tables, or key-value pairs from PDFs\n\nOCR on scanned documents or images\n\nRedacting PII before sharing documents\n\nAdding watermarks to drafts or confidential documents\n\nDigitally signing contracts or agreements\n\nFilling PDF forms programmatically", "source_path": "CODEFORGE\\everything-claude-code\\skills\\nutrient-document-processing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.", "mtime": 1776507629.889408, "body_hash": "d0dcd6b5131db3417cc5c9a67ebfccad99c85fdc3df475941759f6239736c6aa", "alias_sources": []}
{"id": "fbaa9b82afdceb28", "skill_name": "perl-patterns", "skill_description": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "skill_type": null, "section_path": ["Modern Perl Development Patterns", "Quick Reference: Modern Perl Idioms"], "section_title": "Quick Reference: Modern Perl Idioms", "section_body": "Dependency Management (cpanfile + carton)\n\nQuick Reference: Modern Perl Idioms\n\n| Legacy Pattern | Modern Replacement |\n|---|---|\n| `use strict; use warnings;` | `use v5.36;` |\n| `my ($x, $y) = @_;` | `sub foo($x, $y) { ... }` |\n| `@{ $ref }` | `$ref->@*` |\n| `%{ $ref }` | `$ref->%*` |\n| `open FH, \"< $file\"` | `open my $fh, '<:encoding(UTF-8)', $file` |\n| `blessed hashref` | `Moo` class with types |\n| `$1, $2, $3` | `$+{name}` (named captures) |\n| `eval { }; if ($@)` | `Try::Tiny` or native `try/catch` (5.40+) |\n| `BEGIN { require Exporter; }` | `use Exporter 'import';` |\n| Manual file ops | `Path::Tiny` |\n| `blessed($o) && $o->isa('X')` | `$o isa 'X'` (5.32+) |\n| `builtin::true / false` | `use builtin 'true', 'false';` (5.36+, experimental) |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.", "mtime": 1776507629.906284, "body_hash": "58eb9de9d7cf8854dd8160c471690fb1b2713945b7a7b23406369270e97c9f85", "alias_sources": []}
{"id": "fbb58035ba17763f", "skill_name": "gan-style-harness", "skill_description": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "skill_type": null, "section_path": ["GAN-Style Harness Skill", "References"], "section_title": "References", "section_body": "References\n\n[Anthropic: Harness Design for Long-Running Apps](https://www.anthropic.com/engineering/harness-design-long-running-apps) \u2014 Original paper by Prithvi Rajasekaran\n\n[Epsilla: The GAN-Style Agent Loop](https://www.epsilla.com/blogs/anthropic-harness-engineering-multi-agent-gan-architecture) \u2014 Architecture deconstruction\n\n[Martin Fowler: Harness Engineering](https://martinfowler.com/articles/exploring-gen-ai/harness-engineering.html) \u2014 Broader industry context\n\n[OpenAI: Harness Engineering](https://openai.com/index/harness-engineering/) \u2014 OpenAI's parallel work", "source_path": "CODEFORGE\\everything-claude-code\\skills\\gan-style-harness\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.", "mtime": 1776507629.7731261, "body_hash": "1c6f4d8d0858c3628ab4e5da22b6c004b1ab482506952f363105f8dbb515d26c", "alias_sources": []}
{"id": "fbed4d754b43446e", "skill_name": "backend-patterns", "skill_description": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "skill_type": null, "section_path": ["Backend Development Patterns", "Logging & Monitoring", "Structured Logging"], "section_title": "Structured Logging", "section_body": "Background Jobs & Queues\n\nSimple Queue Pattern\n\nLogging & Monitoring\n\nStructured Logging\n\n**Remember**: Backend patterns enable scalable, maintainable server-side applications. Choose patterns that fit your complexity level.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\backend-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:backend"], "trigger_hints": "Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.", "mtime": 1776507629.4766579, "body_hash": "7023824ad6922767b63557c574ddaa073d0512119cd90a6e3f75cba0371d7bc9", "alias_sources": []}
{"id": "fbff2d4318bbeb3d", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "Platform Adaptation Rules", "Newsletter"], "section_title": "Newsletter", "section_body": "Newsletter\n\nopen with the point, conflict, or artifact\n\ndo not spend the first paragraph warming up\n\nevery section needs to add something new", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "1b70cb8b32807fb02af27339a2767f35b092ceeac4cabf03c1e2d86f1ed05da6", "alias_sources": []}
{"id": "fc083422dfab147e", "skill_name": "ui-demo", "skill_description": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "skill_type": null, "section_path": ["UI Demo Video Recorder", "When to Use"], "section_title": "When to Use", "section_body": "When to Use\n\nUser asks for a \"demo video\", \"screen recording\", \"walkthrough\", or \"tutorial\"\n\nUser wants to showcase a feature or workflow visually\n\nUser needs a video for documentation, onboarding, or stakeholder presentation", "source_path": "CODEFORGE\\everything-claude-code\\skills\\ui-demo\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build", "phase:docs"], "trigger_hints": "Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.", "mtime": 1776507630.1595242, "body_hash": "023ff6680b5a6c19ee29977420fff20595d148149aec81639a27b1076d200463", "alias_sources": []}
{"id": "fc1555fb628bb7de", "skill_name": "python-testing", "skill_description": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "skill_type": null, "section_path": ["Python Testing Patterns", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nWriting new Python code (follow TDD: red, green, refactor)\n\nDesigning test suites for Python projects\n\nReviewing Python test coverage\n\nSetting up testing infrastructure", "source_path": "CODEFORGE\\everything-claude-code\\skills\\python-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:test"], "trigger_hints": "Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.", "mtime": 1776507629.944024, "body_hash": "07e2f55c49a46720eb95a4b6bbcaedd28232faa1527a965d2674a9a8170ec9eb", "alias_sources": []}
{"id": "fc96f3f15aa3753a", "skill_name": "rust-testing", "skill_description": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "skill_type": null, "section_path": ["Rust Testing Patterns"], "section_title": "Rust Testing Patterns", "section_body": "Rust Testing Patterns\n\nComprehensive Rust testing patterns for writing reliable, maintainable tests following TDD methodology.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\rust-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:test"], "trigger_hints": "Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.", "mtime": 1776507630.0269482, "body_hash": "b162020b175356a6d35205feab17b223d08d400de02421a5fadd17e8d374c37f", "alias_sources": []}
{"id": "fcb8212bb89e5f52", "skill_name": "messages-ops", "skill_description": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "skill_type": null, "section_path": ["Messages Ops", "Skill Stack"], "section_title": "Skill Stack", "section_body": "Skill Stack\n\nPull these ECC-native skills into the workflow when relevant:\n\n`email-ops` when the message task is really mailbox work\n\n`connections-optimizer` when the DM thread belongs to outbound network work\n\n`lead-intelligence` when the live thread should inform targeting or warm-path outreach\n\n`knowledge-ops` when the thread contents need to be captured into durable context", "source_path": "CODEFORGE\\everything-claude-code\\skills\\messages-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.", "mtime": 1776507629.8778734, "body_hash": "ebeada9c29d87d0b1c107bf078f8238798325503418352f74c7b3d6751812c36", "alias_sources": []}
{"id": "fcc088706e7eb831", "skill_name": "cost-aware-llm-pipeline", "skill_description": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "skill_type": null, "section_path": ["Cost-Aware LLM Pipeline", "Core Concepts", "4. Prompt Caching"], "section_title": "4. Prompt Caching", "section_body": "4. Prompt Caching\n\nCache long system prompts to avoid resending them on every request.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cost-aware-llm-pipeline\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cost optimization patterns for LLM API usage \u2014 model routing by task complexity, budget tracking, retry logic, and prompt caching.", "mtime": 1776507629.636981, "body_hash": "38eff353f8c6d31ba2e65cfb810359287018c94725177d068cf16256c816ea29", "alias_sources": []}
{"id": "fce2a5d2837e22cb", "skill_name": "logistics-exception-management", "skill_description": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "skill_type": null, "section_path": ["Logistics Exception Management", "Communication Patterns", "Tone Calibration"], "section_title": "Tone Calibration", "section_body": "Communication Patterns\n\nTone Calibration\n\nMatch communication tone to situation severity and relationship:\n\n**Routine exception, good carrier relationship:** Collaborative. \"We've got a delay on PRO# X \u2014 can you get me an updated ETA? Customer is asking.\"\n\n**Significant exception, neutral relationship:** Professional and documented. State facts, reference BOL/PRO, specify what you need and by when.\n\n**Major exception or pattern, strained relationship:** Formal. CC management. Reference contract terms. Set response deadlines. \"Per Section 4.2 of our transportation agreement dated...\"\n\n**Customer-facing (delay):** Proactive, honest, solution-oriented. Never blame the carrier by name. \"Your shipment has experienced a transit delay. Here's what we're doing and your updated timeline.\"\n\n**Customer-facing (damage/loss):** Empathetic, action-oriented. Lead with the resolution, not the problem. \"We've identified an issue with your shipment and have already initiated [replacement/credit].\"", "source_path": "CODEFORGE\\everything-claude-code\\skills\\logistics-exception-management\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.\n", "mtime": 1776507629.8650985, "body_hash": "985fc906937bf9cc54c07dc586af777bf8a2a58eed7c6c45a47780de4540f1e8", "alias_sources": []}
{"id": "fcedf8ea7789535d", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "How It Works"], "section_title": "How It Works", "section_body": "How It Works\n\nStructure the app around clear boundaries (controllers -> services/actions -> models).\n\nUse explicit bindings and scoped bindings to keep routing predictable; still enforce authorization for access control.\n\nFavor typed models, casts, and scopes to keep domain logic consistent.\n\nKeep IO-heavy work in queues and cache expensive reads.\n\nCentralize config in `config/*` and keep environments explicit.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "5a614a8847f058636dfbcd8420c95e5b85d9fd6796084eedbbc146c4f360a16c", "alias_sources": []}
{"id": "fcfa938726915ff6", "skill_name": "hookify-rules", "skill_description": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "skill_type": null, "section_path": ["Writing Hookify Rules", "Pattern Writing Tips", "Common Pitfalls"], "section_title": "Common Pitfalls", "section_body": "Common Pitfalls\n\n**Too broad**: `log` matches \"login\", \"dialog\" \u2014 use `console\\.log\\(`\n\n**Too specific**: `rm -rf /tmp` \u2014 use `rm\\s+-rf`\n\n**YAML escaping**: Use unquoted patterns; quoted strings need `\\\\s`", "source_path": "CODEFORGE\\everything-claude-code\\skills\\hookify-rules\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.", "mtime": 1776507629.8105044, "body_hash": "5b196cf6dae23bbd9bed628060a4ba65ce31b44818eef68bacfd101a00cfba47", "alias_sources": []}
{"id": "fcfc6d4e0fb21d21", "skill_name": "fal-ai-media", "skill_description": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "skill_type": null, "section_path": ["fal.ai Media Generation", "Image Generation", "Image Editing"], "section_title": "Image Editing", "section_body": "Image Editing\n\nUse Nano Banana 2 with an input image for inpainting, outpainting, or style transfer:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\fal-ai-media\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Unified media generation via fal.ai MCP \u2014 image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.", "mtime": 1776507629.7573857, "body_hash": "85d559585ec537dfd076e0c75d4503ac072c4b3648e3d17c78d287e0f6935895", "alias_sources": []}
{"id": "fd1ad4495babda96", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "How It Works", "\u89e6\u53d1\u5224\u65ad"], "section_title": "\u89e6\u53d1\u5224\u65ad", "section_body": "\u89e6\u53d1\u5224\u65ad\n\n| \u7528\u6237\u8bf4 | \u6267\u884c\u6a21\u5f0f |\n|--------|---------|\n| \"\u5e2e\u6211\u8bbe\u8ba1\u9f99\u867e\u7075\u9b42\" / \"\u6211\u60f3\u7ed9\u9f99\u867e\u5b9a\u4e2a\u6027\u683c\" | \u2192 **\u5f15\u5bfc\u6a21\u5f0f**\uff08Step 1\uff09 |\n| \"\u62bd\u5361\" / \"\u968f\u673a\" / \"\u6765\u4e00\u53d1\" / \"\u76f2\u76d2\" / \"gacha\" | \u2192 **\u62bd\u5361\u6a21\u5f0f**\uff08Step 1-B\uff09 |\n| \"\u5e2e\u6211\u4f18\u5316\u8fd9\u4e2a\u7075\u9b42\" / \u9644\u5e26\u5df2\u6709 SOUL.md | \u2192 **\u6253\u78e8\u6a21\u5f0f**\uff08\u8df3\u5230 Step 4\uff09 |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "3b6128fd5a0dc9c9e1d786340afab3b43be14d1c4cc36864a876937388df2825", "alias_sources": []}
{"id": "fd342837a48252ae", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Content Density Limits"], "section_title": "Content Density Limits", "section_body": "Content Density Limits\n\nUse these maxima unless the user explicitly asks for denser slides and readability still holds:\n\n| Slide type | Limit |\n|------------|-------|\n| Title | 1 heading + 1 subtitle + optional tagline |\n| Content | 1 heading + 4-6 bullets or 2 short paragraphs |\n| Feature grid | 6 cards max |\n| Code | 8-10 lines max |\n| Quote | 1 quote + attribution |\n| Image | 1 image constrained by viewport |", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend", "phase:build"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "974dd6e17ab0675e658d550ae5ec916d4ecece96a61ef159963d7d0cf7c2a2a9", "alias_sources": []}
{"id": "fd84bd077e8fd00e", "skill_name": "security-review", "skill_description": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "skill_type": null, "section_path": ["Security Review Skill"], "section_title": "Security Review Skill", "section_body": "Security Review Skill\n\nThis skill ensures all code follows security best practices and identifies potential vulnerabilities.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\security-review\\SKILL.md", "source_root": "ecc", "tags": ["domain:security", "phase:review"], "trigger_hints": "Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.", "mtime": 1776507630.042481, "body_hash": "4e46da5f4c2cac0279494a64c07021de2effd25bbba89414ba03d8099e0c56fe", "alias_sources": []}
{"id": "fd87f02f894ead99", "skill_name": "agent-introspection-debugging", "skill_description": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "skill_type": null, "section_path": ["Agent Introspection Debugging", "Recovery Heuristics"], "section_title": "Recovery Heuristics", "section_body": "Recovery Heuristics\n\nPrefer these interventions in order:\n\nRestate the real objective in one sentence.\n\nVerify the world state instead of trusting memory.\n\nShrink the failing scope.\n\nRun one discriminating check.\n\nOnly then retry.\n\nBad pattern:\n\nretrying the same action three times with slightly different wording\n\nGood pattern:\n\ncapture failure\n\nclassify the pattern\n\nrun one direct check\n\nchange the plan only if the check supports it", "source_path": "CODEFORGE\\everything-claude-code\\skills\\agent-introspection-debugging\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.", "mtime": 1776507629.4503212, "body_hash": "9d7a9991b5eee921469baa67cdd5f19b70186ceb825455c106f02f64cfedda88", "alias_sources": []}
{"id": "fd8ae4703f4bcd2a", "skill_name": "frontend-slides", "skill_description": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "skill_type": null, "section_path": ["Frontend Slides", "Workflow", "1. Detect Mode"], "section_title": "1. Detect Mode", "section_body": "Workflow\n\n1. Detect Mode\n\nChoose one path:\n\n**New presentation**: user has a topic, notes, or full draft\n\n**PPT conversion**: user has `.ppt` or `.pptx`\n\n**Enhancement**: user already has HTML slides and wants improvements", "source_path": "CODEFORGE\\everything-claude-code\\skills\\frontend-slides\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.", "mtime": 1776507629.769616, "body_hash": "43c842a3cf73a288b1db26032cf6495a87c5c0b5f069fdf8e7e44bab8a93fedb", "alias_sources": []}
{"id": "fd91c5acae928dcb", "skill_name": "benchmark", "skill_description": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "skill_type": null, "section_path": ["Benchmark \u2014 Performance Baseline & Regression Detection", "Output"], "section_title": "Output", "section_body": "Output\n\nStores baselines in `.ecc/benchmarks/` as JSON. Git-tracked so the team shares baselines.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\benchmark\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.", "mtime": 1776507629.4796982, "body_hash": "c4ae3ba398e2a7d60ff3150402c6524d7f02c0fb808d4b274f3247fd2e553165", "alias_sources": []}
{"id": "fd9d0616dd157b1a", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Migration Safety Checklist"], "section_title": "Migration Safety Checklist", "section_body": "Migration Safety Checklist\n\nBefore applying any migration:\n\n[ ] Migration has both UP and DOWN (or is explicitly marked irreversible)\n\n[ ] No full table locks on large tables (use concurrent operations)\n\n[ ] New columns have defaults or are nullable (never add NOT NULL without default)\n\n[ ] Indexes created concurrently (not inline with CREATE TABLE for existing tables)\n\n[ ] Data backfill is a separate migration from schema change\n\n[ ] Tested against a copy of production data\n\n[ ] Rollback plan documented", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan", "phase:review"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "29c8db883802a140d9c649248cf35f352338513c50ac338f732d45899df0b750", "alias_sources": []}
{"id": "fda82d6827ea5e07", "skill_name": "liquid-glass-design", "skill_description": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "skill_type": null, "section_path": ["Liquid Glass Design System (iOS 26)", "Core Pattern \u2014 SwiftUI", "GlassEffectContainer for Multiple Elements"], "section_title": "GlassEffectContainer for Multiple Elements", "section_body": "Glass Button Styles\n\nGlassEffectContainer for Multiple Elements\n\nAlways wrap multiple glass views in a container for performance and morphing:\n\nThe `spacing` parameter controls merge distance \u2014 closer elements blend their glass shapes together.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\liquid-glass-design\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:plan"], "trigger_hints": "iOS 26 Liquid Glass design system \u2014 dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.", "mtime": 1776507629.8580947, "body_hash": "9fc80987e4c43e62ca2a8f4aae237d8c39639461a59e3946ac772688467fc9df", "alias_sources": []}
{"id": "fdd6c9f73a7a518f", "skill_name": "content-engine", "skill_description": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "skill_type": null, "section_path": ["Content Engine", "When to Activate"], "section_title": "When to Activate", "section_body": "When to Activate\n\nwriting X posts or threads\n\ndrafting LinkedIn posts or launch updates\n\nscripting short-form video or YouTube explainers\n\nrepurposing articles, podcasts, demos, docs, or internal notes into public content\n\nbuilding a launch sequence or ongoing content system around a product, insight, or narrative", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-engine\\SKILL.md", "source_root": "ecc", "tags": ["domain:general", "phase:docs"], "trigger_hints": "Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.", "mtime": 1776507629.5581832, "body_hash": "816f9f37bb5e7a92d65d32346a8cee097fc0dadda0d0b3a2be1f11db82c79951", "alias_sources": []}
{"id": "fe34ffbd7641ffee", "skill_name": "council", "skill_description": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "skill_type": null, "section_path": ["Council", "Multi-Round Follow-up"], "section_title": "Multi-Round Follow-up", "section_body": "Multi-Round Follow-up\n\nDefault is one round.\n\nIf the user wants another round:\n\nkeep the new question focused\n\ninclude the previous verdict only if it is necessary\n\nkeep the Skeptic as clean as possible to preserve anti-anchoring value", "source_path": "CODEFORGE\\everything-claude-code\\skills\\council\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.", "mtime": 1776507629.6400218, "body_hash": "d1e0ed91cad96d8beb1f6016ca253b9a9b3c547017c9d7c818fccfa55531feb3", "alias_sources": []}
{"id": "fe5655472310e77c", "skill_name": "videodb", "skill_description": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "skill_type": null, "section_path": ["VideoDB Skill", "Additional docs"], "section_title": "Additional docs", "section_body": "Additional docs\n\nReference documentation is in the `reference/` directory adjacent to this SKILL.md file. Use the Glob tool to locate it if needed.\n\n[reference/api-reference.md](reference/api-reference.md) - Complete VideoDB Python SDK API reference\n\n[reference/search.md](reference/search.md) - In-depth guide to video search (spoken word and scene-based)\n\n[reference/editor.md](reference/editor.md) - Timeline editing, assets, and composition\n\n[reference/streaming.md](reference/streaming.md) - HLS streaming and instant playback\n\n[reference/generative.md](reference/generative.md) - AI-powered media generation (images, video, audio)\n\n[reference/rtstream.md](reference/rtstream.md) - Live stream ingestion workflow (RTSP/RTMP)\n\n[reference/rtstream-reference.md](reference/rtstream-reference.md) - RTStream SDK methods and AI pipelines\n\n[reference/capture.md](reference/capture.md) - Desktop capture workflow\n\n[reference/capture-reference.md](reference/capture-reference.md) - Capture SDK and WebSocket events\n\n[reference/use-cases.md](reference/use-cases.md) - Common video processing patterns and examples\n\n**Do not use ffmpeg, moviepy, or local encoding tools** when VideoDB supports the operation. The following are all handled server-side by VideoDB \u2014 trimming, combining clips, overlaying audio or music, adding subtitles, text/image overlays, transcoding, resolution changes, aspect-ratio conversion, resizing for platform requirements, transcription, and media generation. Only fall back to local tools for operations listed under Limitations in reference/editor.md (transitions, speed changes, crop/zoom, colour grading, volume mixing).", "source_path": "CODEFORGE\\everything-claude-code\\skills\\videodb\\SKILL.md", "source_root": "ecc", "tags": ["domain:python", "phase:docs"], "trigger_hints": "See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.", "mtime": 1776507630.1680756, "body_hash": "57c922028fbec292fc8becf3985d8d94cb331a3e995bd12e02d99b70ac425a9b", "alias_sources": []}
{"id": "fe76c4ad33b58546", "skill_name": "cpp-testing", "skill_description": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "skill_type": null, "section_path": ["C++ Testing (Agent Skill)", "Best Practices", "DO"], "section_title": "DO", "section_body": "Best Practices\n\nDO\n\nKeep tests deterministic and isolated\n\nPrefer dependency injection over globals\n\nUse `ASSERT_*` for preconditions, `EXPECT_*` for multiple checks\n\nSeparate unit vs integration tests in CTest labels or directories\n\nRun sanitizers in CI for memory and race detection", "source_path": "CODEFORGE\\everything-claude-code\\skills\\cpp-testing\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.", "mtime": 1776507629.6495886, "body_hash": "cfd345418a8f7df77e6962c6ab798e5dd50f626673e30754942abfc64686b902", "alias_sources": []}
{"id": "feab5a7996e466eb", "skill_name": "mcp-server-patterns", "skill_description": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "skill_type": null, "section_path": ["MCP Server Patterns", "How It Works", "Core concepts"], "section_title": "Core concepts", "section_body": "How It Works\n\nCore concepts\n\n**Tools**: Actions the model can invoke (e.g. search, run a command). Register with `registerTool()` or `tool()` depending on SDK version.\n\n**Resources**: Read-only data the model can fetch (e.g. file contents, API responses). Register with `registerResource()` or `resource()`. Handlers typically receive a `uri` argument.\n\n**Prompts**: Reusable, parameterised prompt templates the client can surface (e.g. in Claude Desktop). Register with `registerPrompt()` or equivalent.\n\n**Transport**: stdio for local clients (e.g. Claude Desktop); Streamable HTTP is preferred for remote (Cursor, cloud). Legacy HTTP/SSE is for backward compatibility.\n\nThe Node/TypeScript SDK may expose `tool()` / `resource()` or `registerTool()` / `registerResource()`; the official SDK has changed over time. Always verify against the current [MCP docs](https://modelcontextprotocol.io) or Context7.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\mcp-server-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:javascript", "phase:docs"], "trigger_hints": "Build MCP servers with Node/TypeScript SDK \u2014 tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.", "mtime": 1776507629.8733094, "body_hash": "14d995e5c543f7e959c15f928c4e39785d1fa7c69638a5f3878187d221a6f942", "alias_sources": []}
{"id": "fed3104c73a8f8b4", "skill_name": "openclaw-persona-forge", "skill_description": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "skill_type": null, "section_path": ["\u9f99\u867e\u7075\u9b42\u953b\u9020\u7089", "Step 2\uff1a\u953b\u9020\u8eab\u4efd\u5f20\u529b"], "section_title": "Step 2\uff1a\u953b\u9020\u8eab\u4efd\u5f20\u529b", "section_body": "Step 1-B\uff1a\u62bd\u5361\u6a21\u5f0f\n\n**\u5fc5\u987b\u6267\u884c\u811a\u672c**\uff0c\u4e0d\u8981\u81ea\u5df1\u968f\u673a\u7f16\uff1a\n\n\u5c55\u793a\u7ed3\u679c\u540e\uff0c\u7528\u521b\u4e16\u795e\u7684\u8bed\u6c14\u70b9\u8bc4\u8fd9\u4e2a\u7ec4\u5408\u7684\u4eae\u70b9\uff0c\u7136\u540e\u5f15\u5bfc\u7528\u6237\u51b3\u5b9a\u3002\n\nStep 2\uff1a\u953b\u9020\u8eab\u4efd\u5f20\u529b\n\n**\u8be6\u7ec6\u6a21\u677f\u548c\u793a\u4f8b**\uff1a\u89c1 [references/identity-tension.md](references/identity-tension.md)\n\n\u6784\u5efa\uff1a\u524d\u4e16\u8eab\u4efd \u00d7 \u5f53\u4e0b\u5904\u5883 \u00d7 \u5185\u5728\u77db\u76fe \u2192 \u4e00\u53e5\u8bdd\u7075\u9b42\u3002\n\n\u5c55\u793a\u540e\uff0c\u4ee5\u521b\u4e16\u795e\u7684\u773c\u5149\u70b9\u8bc4\u8fd9\u4e2a\u8eab\u4efd\u5f20\u529b\u4e2d\u6700\u6709\u8da3\u7684\u70b9\uff0c\u7136\u540e\u5f15\u5bfc\u7528\u6237\u3002", "source_path": "CODEFORGE\\everything-claude-code\\skills\\openclaw-persona-forge\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "\u4e3a OpenClaw AI Agent \u953b\u9020\u5b8c\u6574\u7684\u9f99\u867e\u7075\u9b42\u65b9\u6848\u3002\u6839\u636e\u7528\u6237\u504f\u597d\u6216\u968f\u673a\u62bd\u5361\uff0c\n\u8f93\u51fa\u8eab\u4efd\u5b9a\u4f4d\u3001\u7075\u9b42\u63cf\u8ff0(SOUL.md)\u3001\u89d2\u8272\u5316\u5e95\u7ebf\u89c4\u5219\u3001\u540d\u5b57\u548c\u5934\u50cf\u751f\u56fe\u63d0\u793a\u8bcd\u3002\n\u5982\u5f53\u524d\u73af\u5883\u63d0\u4f9b\u5df2\u5ba1\u6838\u7684\u751f\u56fe skill\uff0c\u53ef\u81ea\u52a8\u751f\u6210\u7edf\u4e00\u98ce\u683c\u5934\u50cf\u56fe\u7247\u3002\n\u5f53\u7528\u6237\u9700\u8981\u521b\u5efa\u3001\u8bbe\u8ba1\u6216\u5b9a\u5236 OpenClaw \u9f99\u867e\u7075\u9b42\u65f6\u4f7f\u7528\u3002\n\u4e0d\u9002\u7528\u4e8e\uff1a\u5fae\u8c03\u5df2\u6709 SOUL.md\u3001\u975e OpenClaw \u5e73\u53f0\u7684\u89d2\u8272\u8bbe\u8ba1\u3001\u7eaf\u5de5\u5177\u578b\u65e0\u6027\u683c Agent\u3002\n\u89e6\u53d1\u8bcd\uff1a\u9f99\u867e\u7075\u9b42\u3001\u867e\u9b42\u3001OpenClaw \u7075\u9b42\u3001\u517b\u867e\u7075\u9b42\u3001\u9f99\u867e\u89d2\u8272\u3001\u9f99\u867e\u5b9a\u4f4d\u3001\n\u9f99\u867e\u5267\u672c\u6740\u89d2\u8272\u3001\u9f99\u867e\u6e38\u620f\u89d2\u8272\u3001\u9f99\u867e NPC\u3001\u9f99\u867e\u6027\u683c\u3001\u9f99\u867e\u80cc\u666f\u6545\u4e8b\u3001\nlobster soul\u3001lobster character\u3001\u62bd\u5361\u3001\u968f\u673a\u9f99\u867e\u3001\u9f99\u867e SOUL\u3001gacha\u3002", "mtime": 1776507629.893407, "body_hash": "d62d4916aab9e6066902a2de8afdfdd45bb6de795b37e3f41d0447bd308ad42d", "alias_sources": []}
{"id": "fedcc30c7ed3a80e", "skill_name": "laravel-patterns", "skill_description": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "skill_type": null, "section_path": ["Laravel Development Patterns", "Examples", "Events, Jobs, and Queues"], "section_title": "Events, Jobs, and Queues", "section_body": "API Resources\n\nKeep API responses consistent with resources and pagination.\n\nEvents, Jobs, and Queues\n\nEmit domain events for side effects (emails, analytics)\n\nUse queued jobs for slow work (reports, exports, webhooks)\n\nPrefer idempotent handlers with retries and backoff", "source_path": "CODEFORGE\\everything-claude-code\\skills\\laravel-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:api"], "trigger_hints": "Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.", "mtime": 1776507629.839055, "body_hash": "37edb58c9ce25869ca654f2f306994629d2752fed0a5ef6496a6ad4ab806312f", "alias_sources": []}
{"id": "ff296b4d6b594aed", "skill_name": "social-graph-ranker", "skill_description": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "skill_type": null, "section_path": ["Social Graph Ranker", "Scoring Signals"], "section_title": "Scoring Signals", "section_body": "Scoring Signals\n\nWeight targets before graph traversal with whatever matters for the current priority set:\n\nrole or title alignment\n\ncompany or industry fit\n\ncurrent activity and recency\n\ngeographic relevance\n\ninfluence or reach\n\nlikelihood of response\n\nWeight mutuals after traversal with:\n\nnumber of weighted paths into the target set\n\ndirectness of those paths\n\nresponsiveness or prior interaction history\n\ncontextual fit for making the intro", "source_path": "CODEFORGE\\everything-claude-code\\skills\\social-graph-ranker\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Weighted social-graph ranking for warm intro discovery, bridge scoring, and network gap analysis across X and LinkedIn. Use when the user wants the reusable graph-ranking engine itself, not the broader outreach or network-maintenance workflow layered on top of it.", "mtime": 1776507630.1173847, "body_hash": "316c72db928480c7a7f6573c05b39235946b13f3aff52598866b9284ae459732", "alias_sources": []}
{"id": "ff31975c107d62af", "skill_name": "manim-video", "skill_description": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "skill_type": null, "section_path": ["Manim Video", "Scene Planning Rules"], "section_title": "Scene Planning Rules", "section_body": "Scene Planning Rules\n\neach scene should prove one thing\n\navoid overstuffed diagrams\n\nprefer progressive reveal over full-screen clutter\n\nuse motion to explain state change, not just to keep the screen busy\n\ntitle cards should be short and loaded with meaning", "source_path": "CODEFORGE\\everything-claude-code\\skills\\manim-video\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.", "mtime": 1776507629.8671887, "body_hash": "2c0a28d3850d25236cef2e0103aded77f7dd93e01eddd64e4466f1931956474e", "alias_sources": []}
{"id": "ff31dcc8ab154031", "skill_name": "perl-security", "skill_description": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "skill_type": null, "section_path": ["Perl Security Patterns", "Safe Process Execution", "List-Form system and exec"], "section_title": "List-Form system and exec", "section_body": "Safe Process Execution\n\nList-Form system and exec\n\nAlso use `Capture::Tiny` for capturing stdout/stderr from external commands safely.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\perl-security\\SKILL.md", "source_root": "ecc", "tags": ["domain:security"], "trigger_hints": "Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.", "mtime": 1776507629.9093275, "body_hash": "be60024928a155fde0a5dcd0e7baa07377e8a7314cfaa391038aeed065f3fd81", "alias_sources": []}
{"id": "ff49aae73ae0af16", "skill_name": "database-migrations", "skill_description": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "skill_type": null, "section_path": ["Database Migration Patterns", "Zero-Downtime Migration Strategy"], "section_title": "Zero-Downtime Migration Strategy", "section_body": "golang-migrate (Go)\n\nWorkflow\n\nMigration Files\n\nZero-Downtime Migration Strategy\n\nFor critical production changes, follow the expand-contract pattern:", "source_path": "CODEFORGE\\everything-claude-code\\skills\\database-migrations\\SKILL.md", "source_root": "ecc", "tags": ["domain:go"], "trigger_hints": "Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).", "mtime": 1776507629.6768935, "body_hash": "093d100cf5c41df7ed979662d01f023e0161cb4266be95758c5b50771bf28f88", "alias_sources": []}
{"id": "ff6c40ac2cff2c92", "skill_name": "content-hash-cache-pattern", "skill_description": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "skill_type": null, "section_path": ["Content-Hash File Cache Pattern", "Best Practices"], "section_title": "Best Practices", "section_body": "Best Practices\n\n**Hash content, not paths** \u2014 paths change, content identity doesn't\n\n**Chunk large files** when hashing \u2014 avoid loading entire files into memory\n\n**Keep processing functions pure** \u2014 they should know nothing about caching\n\n**Log cache hit/miss** with truncated hashes for debugging\n\n**Handle corruption gracefully** \u2014 treat invalid cache entries as misses, never crash", "source_path": "CODEFORGE\\everything-claude-code\\skills\\content-hash-cache-pattern\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Cache expensive file processing results using SHA-256 content hashes \u2014 path-independent, auto-invalidating, with service layer separation.", "mtime": 1776507629.5621471, "body_hash": "c3bd606f4d392c8b7d1171fbbf806023575a088e93fa4f90602493fc906e5f19", "alias_sources": []}
{"id": "ffa171d62e86216e", "skill_name": "knowledge-ops", "skill_description": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "skill_type": null, "section_path": ["Knowledge Operations", "Sync Operations", "Conversation Sync"], "section_title": "Conversation Sync", "section_body": "4. Index\n\nUpdate any relevant indexes or summary files.\n\nSync Operations\n\nConversation Sync\n\nPeriodically sync conversation history into the knowledge base:\n\nSources: Claude session files, Codex sessions, other agent sessions\n\nDestination: knowledge base repo\n\nGenerate a session index for quick browsing\n\nCommit and push", "source_path": "CODEFORGE\\everything-claude-code\\skills\\knowledge-ops\\SKILL.md", "source_root": "ecc", "tags": ["domain:general"], "trigger_hints": "Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.", "mtime": 1776507629.827503, "body_hash": "f7611bd068f39b80fda6ee8d938c5125e3f449824389b99b7576a506fb769d35", "alias_sources": []}
{"id": "fffbcc2684cf1a96", "skill_name": "compose-multiplatform-patterns", "skill_description": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "skill_type": null, "section_path": ["Compose Multiplatform Patterns"], "section_title": "Compose Multiplatform Patterns", "section_body": "Compose Multiplatform Patterns\n\nPatterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.", "source_path": "CODEFORGE\\everything-claude-code\\skills\\compose-multiplatform-patterns\\SKILL.md", "source_root": "ecc", "tags": ["domain:frontend"], "trigger_hints": "Compose Multiplatform and Jetpack Compose patterns for KMP projects \u2014 state management, navigation, theming, performance, and platform-specific UI.", "mtime": 1776507629.541529, "body_hash": "23f1a9c0a16b579847307d2275cb0ccab1560f90a19ebc3548e5b9aaf5f0e4df", "alias_sources": []}