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**Problem Category**: Audio file transcription using OpenAI Whisper
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Create a new Python subagent file in the workspace. After creating, use run_subagent to test it (NOT use_saved_subagent).
Complete the task with a final answer and save reusable subagents as skills. Use this when you have successfully solved the question.
List all previously saved subagent skills. Use this to check if a suitable subagent already exists before creating a new one.
Edit an existing subagent file by replacing specific code snippets. Supports both workspace files and saved skills.
Run a subagent - either a newly created one from workspace or a saved subagent from previous sessions.
View the source code of a saved subagent skill. Use this to understand how an existing subagent works before reusing or adapting it.
| name | audio_transcriber |
| description | **Problem Category**: Audio file transcription using OpenAI Whisper |
Problem Category: Audio file transcription using OpenAI Whisper Applicable Questions: Transcribing audio files (mp3, wav, etc.) to text, especially Chinese audio Key Features:
playwright, google_search, execute_shell_command
Entry file: audio_transcriber.py
Query type: Pass a focused sub-question as the query.
How to call:
<action>run_subagent</action>
<params>{"skill_name": "audio_transcriber", "query": "<your focused sub-question>"}</params>