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Transcribe

Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.

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name: transcribe description: Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.

Transcribe

Local audio transcription using faster-whisper in Docker.

Installation

cd /path/to/skills/transcribe/scripts
chmod +x install.sh
./install.sh

This builds the Docker image whisper:local and installs the transcribe CLI.

Usage

transcribe /path/to/audio.mp3 [language]
  • Default language: es (Spanish)
  • Use auto for auto-detection
  • Outputs plain text to stdout

Examples

transcribe /tmp/voice.ogg          # Spanish (default)
transcribe /tmp/meeting.mp3 en     # English
transcribe /tmp/audio.m4a auto     # Auto-detect

Supported Formats

mp3, m4a, ogg, wav, webm, flac, aac

When Receiving Voice Messages

  1. Save the audio attachment to a temp file
  2. Run transcribe <path>
  3. Include the transcription in your response
  4. Clean up the temp file

Files

  • scripts/transcribe - CLI wrapper (bash)
  • scripts/install.sh - Installation script (includes Dockerfile inline)

Notes

  • Model: small (fast) - edit install.sh for large-v3 (accurate)
  • Fully local, no API key needed

如何使用「Transcribe」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Transcribe技能完成任务
  4. 结果即时呈现,支持继续对话优化

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