/openai-whisper

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

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Install

$ npx -y skills add openclaw/openclaw --skill openai-whisper --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/openai-whisper

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

openai-whisper.SKILL.md

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.

Read it on GitHub ↗

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