About openai-whisper-api
A skill for transcribing audio with OpenAI Audio Transcriptions API Whisper. It is intended for requests that need an actionable transcription result, not planning or conceptual discussion.
Key features
- 01Audio transcription with Whisper
- 02Task-specific results and action notes
- 03Routing for in-scope requests
Use cases
- 01Transcribing audio through OpenAI Audio Transcriptions API
- 02Getting an actionable result for an audio transcription request
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ cowork-os/ cowork-os --skill openai-whisper-apiAfter installing, type/openai-whisper-apiin Claude Code to confirm it loaded.
Bundled filesscripts/transcribe.sh
Details
From the project READMEOpenai-whisper-api
Purpose
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
Routing
- Use when: Use when the user asks to transcribe audio via OpenAI Audio Transcriptions API Whisper.
- Do not use when: Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
- Outputs: Outcome from Openai-whisper-api: task-specific result plus concrete action notes.
- Success criteria: Returns concrete actions and decisions matching the requested task, with no fabricated tool-side behavior.
Trigger Examples
Positive
- Use the openai-whisper-api skill for this request.
- Help me with openai-whisper-api.
- Use when the user asks to transcribe audio via OpenAI Audio Transcriptions API Whisper.
- Openai-whisper-api: provide an actionable result.
Negative
- Do not use when the request is asking for planning documents, high-level strategy, or non-executable discussion; use the relevant planning or design workflow instead.
- Do not use openai-whisper-api for unrelated requests.
- This request is outside openai-whisper-api scope.
- This is conceptual discussion only; no tool workflow is needed.
Runtime Prompt
- Current runtime prompt length: 796 characters.
- Runtime prompt is defined directly in
../openai-whisper-api.json.
Comments
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