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luolin-ailuolin-ai/openclawWeComzh/skills/openai-whisper/SKILL.md

openai-whisper

Skill108 starsChanged 8 months agoMITView on GitHub

Local speech-to-text with the Whisper CLI (no API key).

We split this skill into the rules it gives an agent

2 rules. 1 is common, 0 are distinctive, and 1 is very specific to this project.

  • 1

    Common

    Most of the 32 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Use whisper to transcribe audio locally.

    line 34
  2. Common:

    Use smaller models for speed, larger for accuracy.

    line 45

“Common” is measured: kept by at least 6 in 10 of the 32 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Whisper (CLI)

Use whisper to transcribe audio locally.

Quick start

  • whisper /path/audio.mp3 --model medium --output_format txt --output_dir .
  • whisper /path/audio.m4a --task translate --output_format srt

Notes

  • Models download to ~/.cache/whisper on first run.
  • --model defaults to turbo on this install.
  • Use smaller models for speed, larger for accuracy.

Download now (ZIP)

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