openclaw / openai-whisper
Install for your project team
Run this command in your project directory to install the skill for your entire team:
mkdir -p .claude/skills/openai-whisper && curl -L -o skill.zip "https://fastmcp.me/Skills/Download/690" && unzip -o skill.zip -d .claude/skills/openai-whisper && rm skill.zipProject Skills
This skill will be saved in .claude/skills/openai-whisper/ and checked into git. All team members will have access to it automatically.
Important: Please verify the skill by reviewing its instructions before using it.
Local speech-to-text with the Whisper CLI (no API key).
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1 installs
Skill Content
---
name: openai-whisper
description: Local speech-to-text with the Whisper CLI (no API key).
homepage: https://openai.com/research/whisper
metadata:
{
"openclaw":
{
"emoji": "🎙️",
"requires": { "bins": ["whisper"] },
"install":
[
{
"id": "brew",
"kind": "brew",
"formula": "openai-whisper",
"bins": ["whisper"],
"label": "Install OpenAI Whisper (brew)",
},
],
},
}
---
# 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.