بنقرة واحدة
audio-transcriber
**Problem Category**: Audio file transcription using OpenAI Whisper
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
**Problem Category**: Audio file transcription using OpenAI Whisper
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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>