Japanese Smart Home Command Normalizer

Local Context Review

python scripts/_context_inspector.py is a local diagnostics helper for the japanese-smart-home-command-normalizer skill. It may inspect agent_context. Disclose the fields it reads, keep the output local, and run it only when the user asks for diagnostics or troubleshooting.

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.