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openai-whisper

Official
by Api.AirforcePrepends a system promptBackend & APIs000 uses376,200
Open-source originalMIT license

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

open-sourceclaude-codebackend-apissteipete
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What this skill does

When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.

---
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.

Use this skill

Per request

Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.

{
  "model": "gpt-4o-mini",
  "skill": "imp-1ddab551-c7d0-45c1-b404-5344f2f2eee7",
  "messages": [{ "role": "user", "content": "…" }]
}
Always on — no field to send

Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.

Set it up in your dashboard

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