docs: refine skills

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Peter Steinberger
2025-12-20 12:54:15 +01:00
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---
name: openai-whisper
description: Local speech-to-text using OpenAI Whisper CLI.
description: Local speech-to-text with the Whisper CLI (no API key).
metadata: {"clawdis":{"requires":{"bins":["whisper"]}}}
---
# OpenAI Whisper (CLI)
# Whisper (CLI)
Use `whisper` for local speech-to-text. Start with:
Use `whisper` to transcribe audio locally.
```bash
whisper --help
```
Quick start
- `whisper /path/audio.mp3 --model medium --output_format txt --output_dir .`
- `whisper /path/audio.m4a --task translate --output_format srt`
Prefer small files first; keep outputs in the current working directory.
Notes
- Models download to `~/.cache/whisper` on first run.
- `--model` defaults to `turbo` on this install.
- Use smaller models for speed, larger for accuracy.