chore: Also format scripts and skills.

This commit is contained in:
cpojer
2026-01-31 21:21:09 +09:00
parent a767c584c7
commit 76b5208b11
95 changed files with 2250 additions and 1239 deletions
+20 -1
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@@ -2,7 +2,24 @@
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)"}]}}
metadata:
{
"openclaw":
{
"emoji": "🎙️",
"requires": { "bins": ["whisper"] },
"install":
[
{
"id": "brew",
"kind": "brew",
"formula": "openai-whisper",
"bins": ["whisper"],
"label": "Install OpenAI Whisper (brew)",
},
],
},
}
---
# Whisper (CLI)
@@ -10,10 +27,12 @@ metadata: {"openclaw":{"emoji":"🎙️","requires":{"bins":["whisper"]},"instal
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.