japanese-smart-home-command-normalizer
# japanese-smart-home-command-normalizer
Use this skill when a short Japanese STT transcript needs to be normalized before smart-home execution.
## Workflow
1. Read `references/design.md` for the normalization pipeline and result shape.
2. Read `references/domains.md` for the supported domains and vocabulary.
3. Reuse `lib/normalize.js` as the core pure module.
4. Use `scripts/demo.js` to try sample transcripts from the terminal.
5. Integrate the normalized result into a device-control skill such as `switchbot-light` or a hook such as `audio-router`.
## Current domains
- `light`
- device aliases: 電気, ライト, 照明
- actions: on, off
- `aircon`
- device aliases: エアコン
- actions: on, off, set_mode
- modes: cool, heat, dry, fan
## Notes
- This skill only normalizes and classifies text. It does not call device APIs.
- Prefer fixed vocabulary plus lightweight fuzzy matching over open-ended LLM interpretation for safety-critical home actions.
- When confidence is low or required slots are missing, return `needsConfirmation: true` instead of auto-executing.
- Add future devices by extending the domain vocabulary, not by piling more ad-hoc regex into callers.
## Resources
- `lib/normalize.js`: core normalization and classification module.
- `scripts/demo.js`: print normalized results for sample inputs.
- `fixtures/samples.json`: sample transcripts and expected outcomes.
- `references/design.md`: pipeline, API shape, and confidence rules.
- `references/domains.md`: supported vocabulary and extension guidance.
- `references/openclaw-integration.md`: thin-hook integration guidance.
标签
skill
ai
