loudink-v1.1 1.1.0: skills PR-A–E canary (record/replay, slots, expanded daily-mac)

README.md

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+---
+license: apache-2.0
+tags:
+  - flowcast
+  - loudink
+  - loudink-v1.1
+  - voice-agent
+  - mlx
+  - apple-silicon
+  - compact-ir
+  - dictation
+  - computer-use
+  - skills
+  - record-and-replay
+library_name: mlx-lm
+---
+
+# loudink-v1.1 v1.1.0 (canary)
+
+On-device dual-stack for **LoudInk / Flowcast** on Apple Silicon, plus **user skills**:
+
+1. **Writer** — LFM2.5-1.2B LoRA (dictation polish / messages / email / prompts)
+2. **Planner** — FunctionGemma compact-IR LoRA (`run_skill` + freeform computer-use)
+3. **Skill store** — local JSON skills (record → compile → voice replay)
+
+**Stable GA line:** [`nsalerni/loudink-v1`](https://huggingface.co/nsalerni/loudink-v1) (0.4.0 freeze).  
+This package is the **v1.1 canary** (PR-A→E). Prefer dual-package client routing with kill-switch to v1.
+
+## Product bars (v1.1)
+
+| Slice | Shipped | Neural | Latency |
+|-------|---------|--------|---------|
+| Writing daily | **100%** | **92.0%** | p50 **171 ms** |
+| Computer daily | **100%** | — | mostly fast-path |
+| Multi-step | **100%** | — | mostly fast-path |
+| **Daily-Mac overall (n=69)** | **100%** | — | — |
+| Skill invoke (n=19) | **100%** | — | deterministic store |
+| IR honesty (n=112, no FP) | — | **46.4%** | honesty lineage |
+
+Holds loudink-v1 0.4 bars; writing neural improved on expanded suite (~92% vs ~86%).
+
+## Bundle layout
+
+```
+writer/                 # optional promoted_core_100.safetensors seed adapter
+writer_unified/         # production writer LoRA
+ir/                     # skill-aware IR LoRA
+ir_honesty_fallback/    # v0.4 honesty IR (optional rollback)
+skill_store/            # example seed skills (not user data)
+router.json
+manifest.json
+inference_config.json
+```
+
+**Bases are not vendored** (size). Pull 4-bit bases:
+
+- Writer: `mlx-community/LFM2.5-1.2B-Instruct-4bit`
+- IR: `mlx-community/functiongemma-270m-it-4bit`
+
+## Skills (record → replay)
+
+```python
+from huggingface_hub import snapshot_download
+from gemmaflow_tune.skills.store import SkillStore
+from gemmaflow_tune.skills.invoke import try_skill_invoke_plan
+
+bundle = snapshot_download("nsalerni/loudink-v1.1")
+store = SkillStore(f"{bundle}/skill_store")
+plan = try_skill_invoke_plan("run my invoice chase for Acme", skill_store=store)
+```
+
+Client should point `skill_store_path` at a **user-writable** directory and merge or replace example seeds. Private recordings stay local; do not train cloud models on them by default.
+
+### IR extension
+
+```json
+{"intent": "run_skill", "skill_id": "invoice_chase", "slots": {"company": "Acme"}, "confidence": 0.92}
+```
+
+Unknown `skill_id` → null plan (never invent). Freeform (`open gmail`) never hijacks skills.
+
+### Vision (PR-E)
+
+`skills/vision.py` scaffold is in the training repo; default **disabled**. Client injects a resolver when ready.
+
+## Integration
+
+```python
+# runner_kind: loudink_v1
+# skill_store_path: {bundle}/skill_store  # or user path
+# ir_adapter_path: {bundle}/ir
+# writer_unified_adapter_path: {bundle}/writer_unified
+```
+
+See `inference_config.json` and `client_contract.md`.
+
+## Methods (v1.1)
+
+- PR-A: Skill schema, store, recorder compiler, null-safe `run_skill`
+- PR-B: Paraphrase invoke + skill_invoke bench + light IR SFT
+- PR-C: Deterministic slot fill (`for` / `about` / named)
+- PR-D: Expanded daily-Mac computer + writing cases
+- PR-E: Vision fallback scaffold (noop until client wires resolver)
+
+## License
+
+Apache-2.0 (adapters + example skills). Base model licenses apply to community 4-bit bases. **User-recorded skills are user data.**

SHA256SUMS

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+c20806b8e4dfc28e162efd1bc3d4cae42e8e5224aaeda7722562bf2b9539acf5  README.md
+cf88d3c382ec0deaa9a89bb682da29bbf8822191c97d5da784de38bd3e817344  STATUS.md
+887cad558e8fde9d4c357f2cdae4507e4e614b1f0dbad190d1fa9d21714ad92f  V1_1_COMPLETE.md
+3965991f7c62bfb29001f9b19f704deefbc890dc85649e4d72fd57243ab317f0  client_contract.md
+4710b258140647aee5399ce3158da7f1f29bea5cb8bb6ed3541be122d5e53064  inference_config.json
+4159a5a3cd7ed71c4da7a6712b2ec5049d7c1ec2e84cbe538178136e5e99d4f3  ir/adapter_config.json
+868d11b4360748cb3c493e26e2ee4cf4eef937eb0c9755988c364a741e5d3a82  ir/adapters.safetensors
+69abbc73e77287e6646bbc323a3fd6869218124b12512cd262a40d0b034ddda2  ir_honesty_fallback/adapter_config.json
+02b521c2348477cf03f667c7b500f0be82bfb937277806e3f4e562b9593a1bbe  ir_honesty_fallback/adapters.safetensors
+4290d51b5ad2ffc89ff22086d2d6aede91485ea4c4f1ecbe2ecd122520a05e4a  manifest.json
+b3b4a8eaa9bef08c32c608f538c1e176acc41f49d18d66aa7c36673123746af9  product_scorecard.json
+8856981bbea72862e2d44a6d5f4de9e540e1793ed1674fcc0dd7ace2364be5f0  router.json
+12db4143f37da30858061eb64bf3fb645d15e195bb18b9274f3620640eb63f37  skill_store/index.json
+f18e2b92a8264142df82780fa0757c5c6aa60569e364a824a1e2029787a81378  skill_store/skills/invoice_chase.json
+55715a59fbdc06b0656d20ace72181dda4142d6c8edbe791b3752c71f4510566  skill_store/skills/morning_focus.json
+a025338ad42f4fee0725f6e8bbd5bf2384a42973ab847838bd9a54526f64ac22  skill_store/skills/standup_post.json
+ceb709ccf7a40ea608c5cc74c247071bbcb0980017f1811f7c55604b4241ab7c  writer/promoted_core_100.safetensors
+734e75c575696d88ec67283d23f8dbeb87a03c3c0e45e0da6b4cfa531036cb4e  writer_unified/adapter_config.json
+2db8a19242ab84fb4b64820528509c3eb842c998f53247e6cf13999b0651b955  writer_unified/adapters.safetensors

STATUS.md

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+# loudink-v1.1 status — **PR-A→E complete**
+
+Last updated: 2026-07-08
+
+## Hugging Face
+
+| Line | Repo | Role |
+|------|------|------|
+| **Stable GA** | [nsalerni/loudink-v1](https://huggingface.co/nsalerni/loudink-v1) | **0.4.0** freeze |
+| **Canary** | [nsalerni/loudink-v1.1](https://huggingface.co/nsalerni/loudink-v1.1) | **1.1.0** skills + expanded daily-mac |
+
+Rebuild canary:
+
+```bash
+python -m gemmaflow_tune.cli.build_loudink_v1_1_publish --force
+python -m gemmaflow_tune.cli.publish_sota --model loudink-v1.1 \
+  --commit-message "loudink-v1.1 1.1.0: skills PR-A–E canary"
+```
+
+## PR board
+
+| PR | Deliverable | Status |
+|----|-------------|--------|
+| **PR-A** | Skill store + recorder schema + compiler + null-safe IR | **done** |
+| **PR-B** | Paraphrase invoke + skill bench + IR labels + runner wiring | **done** (19/19) |
+| **PR-C** | Slot fill (`for` / `about` / named) | **done** |
+| **PR-D** | Daily-mac expand (Focus/DND, Reminders, reply, tabs, Notion/Linear, writing) | **done** (69/69) |
+| **PR-E** | Vision fallback scaffold (disabled by default) | **done** |
+
+## Headline metrics (canary)
+
+| Metric | Bar | Result |
+|--------|-----|--------|
+| Skill invoke (n=19) | ≥95% named / ≥85% paraphrase | **100%** shipped |
+| Daily-Mac overall (n=69) | no drop vs 0.4 | **100%** shipped |
+| Writing neural | hold ≥80% | **92%** |
+| Writing p50 | ≤250 ms | **171 ms** |
+| Computer / multi-step | hold 100% | **100%** |
+| IR honesty (n=112) | ≥45% neural | **46.4%** (v0.4 lineage) |
+
+### Daily-Mac scorecard (v1.1 expanded)
+
+| Slice | Shipped | Neural | p50 |
+|-------|---------|--------|-----|
+| Writing (n=25) | **100%** | **92%** | **171 ms** |
+| Computer (n=44) | **100%** | — | ~0 ms FP |
+| Multi-step (n=25) | **100%** | — | ~0 ms FP |
+| **Overall (n=69)** | **100%** | — | mean ~60 ms |
+
+Scorecard: `artifacts/loudink_v1/product_scorecard.json`  
+Skill bench: `artifacts/benchmarks/loudink_v1_1/skill_invoke/`
+
+## Production stack (v1.1 canary)
+
+```
+writer:       artifacts/sft_loudink_v1_rft_daily/adapters
+polish:       structural (+ daily rules)
+ir:           artifacts/sft_loudink_v1_1_skill_invoke_ir/adapters
+ir_fallback:  artifacts/sft_loudink_v1_ir_honesty/adapters
+skills:       SkillStore (example seed in publish bundle)
+runner:       loudink_v1 + skill_store_path
+bench:        configs/benchmark_loudink_v1_daily_mac.yaml
+              configs/benchmark_loudink_v1_1_skill_invoke.yaml
+```
+
+## Out of scope (later product)
+
+- Client recorder UI (Flowcast owns capture UX)
+- Optional real vision weights/resolver
+- AirDrop / Bluetooth / long-horizon 1:1 prep suites (roadmap backlog)
+- Training cloud models on private user recordings (forbidden by default)

V1_1_COMPLETE.md

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+# loudink-v1.1 complete (PR-A → PR-E)
+
+**Version:** 1.1.0 canary  
+**Date:** 2026-07-08  
+**Stable freeze left intact:** loudink-v1 **0.4.0** at `nsalerni/loudink-v1`
+
+## Delivered
+
+### PR-A — Skill substrate
+- `src/gemmaflow_tune/skills/{schema,store,recorder,compile}.py`
+- Null-safe `run_skill` compile + sanitize (never invent skill_id)
+- Unit tests: `tests/test_skills_pra.py`
+
+### PR-B — Invoke surface
+- Paraphrase + exact alias match in `skills/invoke.py`
+- Freeform disambiguation (open gmail ≠ skill hijack)
+- Bench suite n=19 + IR SFT corpus
+- Runner wiring: `skill_store_path` via `runner_factory`
+- Unit tests: `tests/test_skills_prb.py`
+
+### PR-C — Slot fill
+- Deterministic extract in `skills/slots.py`
+- Seed skills: Invoice Chase (`company`), Standup Post (`update`)
+- Scorer: `slot_values` / `skill_id`
+- Unit tests: `tests/test_skills_prc_slots.py`
+
+### PR-D — Daily-Mac expand
+- Computer: Focus/DND, Reminders, Messages/Mail reply, Chrome tabs, Notion+Linear, Wi‑Fi
+- Writing: reply iMessage, email subject, code cell
+- Resolvers: focus/DND, browser tabs, reply context
+- **69/69** overall on expanded suite
+
+### PR-E — Vision scaffold
+- `skills/vision.py`: `ScreenObservation`, `VisionFallbackConfig`, `try_vision_fallback`
+- Default **disabled**; client injects resolver when ready
+
+## Verification commands
+
+```bash
+.venv/bin/python -m pytest tests/test_skills_pra.py tests/test_skills_prb.py tests/test_skills_prc_slots.py -q
+.venv/bin/python -m gemmaflow_tune.cli.prepare_skill_invoke_benchmarks
+.venv/bin/python -m gemmaflow_tune.cli.prepare_daily_mac_benchmarks
+GEMMAFLOW_GPU_MODE=shared .venv/bin/python -m gemmaflow_tune.cli.benchmark \
+  --config configs/benchmark_loudink_v1_1_skill_invoke.yaml --variant loudink_v1_1_skill_invoke
+GEMMAFLOW_GPU_MODE=shared .venv/bin/python -m gemmaflow_tune.cli.benchmark \
+  --config configs/benchmark_loudink_v1_daily_mac.yaml --variant loudink_v1_daily_mac
+.venv/bin/python -m gemmaflow_tune.cli.build_loudink_v1_product_scorecard \
+  --measurement artifacts/benchmarks/loudink_v1/daily_mac/loudink_v1_daily_mac_measurement.json \
+  --output artifacts/loudink_v1/product_scorecard.json
+.venv/bin/python -m gemmaflow_tune.cli.build_loudink_v1_1_publish --force
+.venv/bin/python -m gemmaflow_tune.cli.publish_sota --model loudink-v1.1
+```
+
+## Success metrics (all met)
+
+| Metric | Bar | Result |
+|--------|-----|--------|
+| Skill invoke accuracy | ≥95% | **100%** (19/19) |
+| Skill paraphrase | ≥85% | **100%** (suite includes paraphrase) |
+| Freeform regression | no drop vs 0.4 | **100%** daily-mac |
+| Writing neural / p50 | hold 0.4 bars | **92%** / **171 ms** |
+| IR honesty | ≥45% | **46.4%** |

client_contract.md

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+# loudink-v1 Flowcast client contract (PR13)
+
+External dependency: Flowcast/GemmaFlow client must support dual packages before canary traffic.
+
+## Package selection
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `model_package` | enum | `v5_lite` (default production) \| `loudink_v1` |
+| `kill_switch` | bool | Force `v5_lite` regardless of remote config |
+
+## Manifest fields the client must read
+
+From `artifacts/manifests/loudink_v1.json` / published `manifest.json`:
+
+- `runner_kind`: `loudink_v1`
+- `writer_model_config` / adapter paths / `writer_chat_template_family`
+- `ir_model_config` / adapter paths / `ir_chat_template_family`
+- `polish_mode` (default `minimal`)
+- `structural_polish_on_markers`
+- `learned_router_path`
+- `transcript_first_ir`, `intent_fast_path` (production true)
+- `hot_download_mb_primary` / `hot_download_mb_hard`
+
+## Telemetry (optional but recommended)
+
+| Event field | Description |
+|-------------|-------------|
+| `finish_reason` | Include polish/IR/intent tags |
+| `neural_text_present` | bool — whether raw draft was produced |
+| `polish_mode` | effective mode after markers |
+| `package_version` | loudink-v1 semver |
+| `latency_ms` | e2e |
+| `model_invoked` | false when transcript polish/IR/intent FP skipped models |
+
+## Rollback
+
+1. Set `model_package=v5_lite` or `kill_switch=true`.
+2. Client must keep last-known-good v5-lite package on disk for offline rollback.
+3. Training repo does not own client release; this file is the interface contract.
+
+## Canary traffic gate
+
+Do **not** route production users to loudink-v1 until:
+
+1. `gate_loudink_v1 --tier canary --gate-mode enforce` is green
+2. Client dual-package flag is shipped
+3. Package SHA256SUMS verified
+
+## loudink-v1.1 skills (canary package)
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `model_package` | enum | add `loudink_v1_1` canary; kill-switch → `loudink_v1` or `v5_lite` |
+| `skill_store_path` | path | User-writable SkillStore root (do not overwrite with HF seed blindly) |
+| `run_skill` IR | intent | `{"intent":"run_skill","skill_id":"…","slots":{…}}` — unknown id → null plan |
+| `vision_fallback` | optional | Disabled by default; client injects resolver for non-AX UIs |
+
+HF canary: `nsalerni/loudink-v1.1`. Example seed skills in bundle `skill_store/` are demos only.

inference_config.json

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+{
+  "model_name": "loudink-v1.1",
+  "model_tag": "loudink-v1.1",
+  "product": "loudink-v1.1",
+  "version": "1.1.0",
+  "runner_kind": "loudink_v1",
+  "hf_repo": "nsalerni/loudink-v1.1",
+  "predecessor": "nsalerni/loudink-v1",
+  "writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
+  "ir_base_model": "mlx-community/functiongemma-270m-it-4bit",
+  "writer_adapter_path": "writer",
+  "writer_checkpoint": "promoted_core_100.safetensors",
+  "writer_unified_adapter_path": "writer_unified",
+  "ir_adapter_path": "ir",
+  "ir_adapter_fallback": "ir_honesty_fallback",
+  "learned_router_path": "router.json",
+  "skill_store_path": "skill_store",
+  "use_learned_router": true,
+  "polish_mode": "structural",
+  "structural_polish_on_markers": true,
+  "transcript_first_ir": true,
+  "intent_fast_path": true,
+  "disable_fast_paths": false,
+  "writer_chat_template_family": "lfm25",
+  "ir_chat_template_family": "functiongemma",
+  "writer_use_prompt_kv_cache": true,
+  "json_early_stop": true,
+  "prompt_mode": "verbose",
+  "hot_download_mb_primary": 850,
+  "hot_download_mb_hard": 900,
+  "skill_features": {
+    "record_and_replay": true,
+    "paraphrase_invoke": true,
+    "slot_fill": true,
+    "vision_fallback_scaffold": true,
+    "vision_fallback_default_enabled": false
+  },
+  "metrics_v11": {
+    "daily_mac_overall_shipped": 1.0,
+    "daily_mac_writing_shipped": 1.0,
+    "daily_mac_writing_neural": 0.92,
+    "daily_mac_writing_p50_ms": 171,
+    "daily_mac_computer_shipped": 1.0,
+    "daily_mac_multi_step_shipped": 1.0,
+    "daily_mac_n": 69,
+    "skill_invoke_shipped": 1.0,
+    "skill_invoke_n": 19,
+    "ir_honesty_neural_n112": 0.4643
+  },
+  "stable_line": "loudink-v1",
+  "line": "canary"
+}

ir/adapter_config.json

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+{
+    "adapter_path": "artifacts/sft_loudink_v1_1_skill_invoke_ir/adapters",
+    "batch_size": 1,
+    "clear_cache_threshold": 0,
+    "config": null,
+    "data": "data/sft_loudink_v1_1_skill_invoke_ir",
+    "fine_tune_type": "lora",
+    "gpu_mode": "shared",
+    "grad_accumulation_steps": 8,
+    "grad_checkpoint": true,
+    "iters": 80,
+    "learning_rate": 1.2e-05,
+    "lora_parameters": {
+        "dropout": 0.05,
+        "keys": [
+            "self_attn.q_proj",
+            "self_attn.k_proj",
+            "self_attn.v_proj",
+            "self_attn.o_proj",
+            "mlp.gate_proj",
+            "mlp.up_proj",
+            "mlp.down_proj"
+        ],
+        "rank": 16,
+        "scale": 32.0
+    },
+    "lr_schedule": null,
+    "mask_prompt": true,
+    "max_seq_length": 2048,
+    "model": "/Users/nilptr/dev/open-source/finetune-rl-gemma/artifacts/models/functiongemma-270m-it-4bit",
+    "model_config": "configs/model_v4_functiongemma.yaml",
+    "model_hf_repo": "mlx-community/functiongemma-270m-it-4bit",
+    "model_local_path": "artifacts/models/functiongemma-270m-it-4bit",
+    "num_layers": 8,
+    "optimizer": "adamw",
+    "optimizer_config": {
+        "adam": {},
+        "adamw": {},
+        "muon": {},
+        "sgd": {},
+        "adafactor": {}
+    },
+    "project_name": null,
+    "report_to": null,
+    "resume_adapter_file": "artifacts/sft_loudink_v1_ir_honesty/adapters/adapters.safetensors",
+    "save_every": 20,
+    "seed": 17,
+    "steps_per_eval": 20,
+    "steps_per_report": 10,
+    "test": false,
+    "test_batches": 500,
+    "train": true,
+    "val_batches": 8
+}

ir/adapters.safetensors

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+size 3386915

ir_honesty_fallback/adapter_config.json

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+{
+    "adapter_path": "artifacts/sft_loudink_v1_ir_honesty/adapters",
+    "batch_size": 1,
+    "clear_cache_threshold": 0,
+    "config": null,
+    "data": "data/sft_loudink_v1_ir_honesty",
+    "fine_tune_type": "lora",
+    "gpu_mode": "shared",
+    "grad_accumulation_steps": 8,
+    "grad_checkpoint": true,
+    "iters": 120,
+    "learning_rate": 1.5e-05,
+    "lora_parameters": {
+        "dropout": 0.05,
+        "keys": [
+            "self_attn.q_proj",
+            "self_attn.k_proj",
+            "self_attn.v_proj",
+            "self_attn.o_proj",
+            "mlp.gate_proj",
+            "mlp.up_proj",
+            "mlp.down_proj"
+        ],
+        "rank": 16,
+        "scale": 32.0
+    },
+    "lr_schedule": null,
+    "mask_prompt": true,
+    "max_seq_length": 2048,
+    "model": "/Users/nilptr/dev/open-source/finetune-rl-gemma/artifacts/models/functiongemma-270m-it-4bit",
+    "model_config": "configs/model_v4_functiongemma.yaml",
+    "model_hf_repo": "mlx-community/functiongemma-270m-it-4bit",
+    "model_local_path": "artifacts/models/functiongemma-270m-it-4bit",
+    "num_layers": 8,
+    "optimizer": "adamw",
+    "optimizer_config": {
+        "adam": {},
+        "adamw": {},
+        "muon": {},
+        "sgd": {},
+        "adafactor": {}
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+    "seed": 41,
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+    "steps_per_report": 10,
+    "test": false,
+    "test_batches": 500,
+    "train": true,
+    "val_batches": 10
+}

ir_honesty_fallback/adapters.safetensors

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manifest.json

@@ -0,0 +1,63 @@
+{
+  "product": "loudink-v1.1",
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+  "predecessor": "nsalerni/loudink-v1",
+  "writer_model_config": "configs/model_v5_lfm25_1_2b.yaml",
+  "writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
+  "writer_adapter_path": "writer",
+  "writer_checkpoint": "promoted_core_100.safetensors",
+  "writer_unified_adapter_path": "writer_unified",
+  "writer_use_prompt_kv_cache": true,
+  "writer_chat_template_family": "lfm25",
+  "ir_model_config": "configs/model_v4_functiongemma.yaml",
+  "ir_base_model": "mlx-community/functiongemma-270m-it-4bit",
+  "ir_adapter_path": "ir",
+  "ir_adapter_fallback": "ir_honesty_fallback",
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+  "ir_prompt_mode": "verbose",
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+  "use_learned_router": true,
+  "transcript_first_ir": true,
+  "intent_fast_path": true,
+  "disable_fast_paths": false,
+  "skill_store_path": "skill_store",
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+    "paraphrase_invoke": true,
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+    "vision_fallback_scaffold": true,
+    "vision_fallback_default_enabled": false
+  },
+  "polish_mode": "structural",
+  "structural_polish_on_markers": true,
+  "prompt_mode": "verbose",
+  "json_early_stop": true,
+  "hot_download_mb_primary": 850,
+  "hot_download_mb_hard": 900,
+  "architecture": "C_dual_writer_ir_skills",
+  "suite_versions": {
+    "daily_mac": "daily_mac_v1_1_n69",
+    "skill_invoke": "skill_invoke_v1_n19",
+    "user_demand_ir": "n112_v1"
+  },
+  "metrics_v11": {
+    "daily_mac_overall_shipped": 1.0,
+    "daily_mac_writing_shipped": 1.0,
+    "daily_mac_writing_neural": 0.92,
+    "daily_mac_writing_p50_ms": 171,
+    "daily_mac_computer_shipped": 1.0,
+    "daily_mac_multi_step_shipped": 1.0,
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+    "skill_invoke_shipped": 1.0,
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+}

product_scorecard.json

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+{
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+}

publish_report.json

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+{
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+  "output_dir": "artifacts/hf_publish/loudink-v1.1",
+  "version": "1.1.0",
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+    "SHA256SUMS",
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+    "client_contract.md",
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+    "ir/adapters.safetensors",
+    "ir_honesty_fallback/adapter_config.json",
+    "ir_honesty_fallback/adapters.safetensors",
+    "manifest.json",
+    "product_scorecard.json",
+    "router.json",
+    "skill_store/index.json",
+    "skill_store/skills/invoice_chase.json",
+    "skill_store/skills/morning_focus.json",
+    "skill_store/skills/standup_post.json",
+    "writer/promoted_core_100.safetensors",
+    "writer_unified/adapter_config.json",
+    "writer_unified/adapters.safetensors"
+  ]
+}

router.json

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+    "source": "artifacts/v5_lite/router.json",
+    "product": "loudink-v1",
+    "notes": "Refit with labeled transcripts after PR8p/PR9p promote"
+  }
+}

skill_store/index.json

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+{
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+  "skills": [
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+      "name": "Invoice Chase",
+      "aliases": [
+        "run invoice chase",
+        "chase invoices"
+      ],
+      "source": "user_recording",
+      "skill_version": 1,
+      "risk": "low"
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+      "name": "Morning Focus",
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+        "start my morning focus",
+        "morning focus workflow"
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+      "source": "user_recording",
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+      "skill_id": "standup_post",
+      "name": "Standup Post",
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+        "daily standup slack"
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+      "source": "user_recording",
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+    }
+  ]
+}

skill_store/skills/invoice_chase.json

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+{
+  "skill_id": "invoice_chase",
+  "name": "Invoice Chase",
+  "aliases": [
+    "run invoice chase",
+    "chase invoices"
+  ],
+  "source": "user_recording",
+  "created_at": "2026-07-09T05:42:10+00:00",
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+  "steps": [
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+      "url": "https://mail.google.com",
+      "browser": "chrome"
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+      "milliseconds": 1000
+    },
+    {
+      "type": "browser_insert_text",
+      "text": "invoice overdue",
+      "browser": "chrome"
+    }
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+  "notes": ""
+}

skill_store/skills/morning_focus.json

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+{
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+  "name": "Morning Focus",
+  "aliases": [
+    "start my morning focus",
+    "morning focus workflow"
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+  "source": "user_recording",
+  "created_at": "2026-07-09T05:42:10+00:00",
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+      "text": "Morning Focus"
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+}

skill_store/skills/standup_post.json

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+{
+  "skill_id": "standup_post",
+  "name": "Standup Post",
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+    "post standup",
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+  "notes": ""
+}

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writer_unified/adapter_config.json

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