OpenClaw

openai-whisper

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

czubi19280 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install czubi1928/openai-whisper-1-0-0

Inspect the source and compatibility requirements, then follow its installation steps.

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Skill instructions

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.

Source information

Source: github
Repository: openclaw/skills
Path: skills/czubi1928/openai-whisper-1-0-0
Version: —
Commit: 190c244c400914d04715f7e66093c1a0f5cf54b8
Classification source: rules
Status: active
Visibility: public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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.

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