audio-transcriber

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name: audio_transcriber description: Problem Category: Audio file transcription using OpenAI Whisper entry_file: audio_transcriber.py

audio_transcriber

Description

Problem Category: Audio file transcription using OpenAI Whisper Applicable Questions: Transcribing audio files (mp3, wav, etc.) to text, especially Chinese audio Key Features:

• Uses OpenAI Whisper model for transcription
• Supports Chinese language transcription
• Falls back to Google Speech Recognition if Whisper fails
• Auto-installs required dependencies
• Extracts file path from natural language query via LLM Skills Used: execute_shell_command Reasoning Pattern: 1) Parse query for file path 2) Verify file exists 3) Install whisper 4) Transcribe with whisper (base model, zh language) 5) Fallback to SpeechRecognition if needed 6) Return transcribed text Input Format: Natural language query containing an audio file path (e.g., 'Transcribe the audio file at /path/to/file.mp3') Output Format: {answer: transcribed text, summary: process description}

Skills Used

playwright, google_search, execute_shell_command

Usage

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>