agentleFS
LocalKinAILocalKinAI/kinclaw/skills/stt/SKILL.md

stt

Skill9 starsChanged 6 months agoApache-2.0View on GitHub

Transcribe an audio file (wav/mp3/mp4/m4a) into text via a local LocalKin Service Audio Server (default :8000 / SenseVoice). Pair with `record action=start mic=true` to turn a recorded mic track into text. Set STT_ENDPOINT env var to point at a different server.

  • Sends data out

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

Files
SKILL.md

stt — speech transcription via LocalKin Service Audio (SenseVoice)

Wraps the LocalKin Service Audio API at :8000/transcribe. Multipart upload with one file field, returns {"text", "language", "confidence"}.

Why this is a SKILL.md and not a native skill

It's a single multipart curl + jq extraction. Pure HTTP wrapper, no state, no OS API binding — perfect external skill territory.

Pairing with record

record action=start audio=false mic=true   → returns recording_id
... user speaks ...
record action=stop id=<recording_id>        → returns path: ~/.../rec-XXXX.mp4
stt path=~/.../rec-XXXX.mp4                 → returns the spoken text

The mp4 from record has its mic audio in a track that SenseVoice reads directly — no ffmpeg extraction needed.

Override the endpoint

STT_ENDPOINT=http://otherbox:8000 kinclaw -soul souls/pilot.soul.md

Failure modes

  • stt: path required / stt: file not found — caller-side argument problems.
  • stt: server returned HTTP ... — server up but rejected; body is echoed.
  • Connection refused — server isn't running on the configured port.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.