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BytesAgain β€Ί Skills β€Ί Japanese Smart Home Command Normalizer
πŸ¦€ ClawHub

Japanese Smart Home Command Normalizer

by @t0yohei

Normalize short Japanese smart-home voice transcripts after STT into safe structured intents and slots. Use when handling Japanese commands for lights and ai...

Versionv1.0.0
Downloads656
#writing#video#audio#translation#legal
TERMINAL
clawhub install japanese-smart-home-command-normalizer

πŸ“– About This Skill

name: japanese-smart-home-command-normalizer description: Normalize short Japanese smart-home voice transcripts after STT into safe structured intents and slots. Use when handling Japanese commands for lights and air conditioners, especially when transcripts contain STT drift such as γ‚ŒγƒΌγΌγƒΌ, だんぼー, そうちう, γ‚¨γ‚’γ‚³γƒ³γƒˆγƒ‘γƒ†, or ι›»ζ°—εŒ–γ—γ¦.

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: ι›»ζ°—, γƒ©γ‚€γƒˆ, η…§ζ˜Ž - actions: on, off
  • aircon
    • - device aliases: エをコン - 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.

    • πŸ“‹ Tips & Best Practices

  • 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.