transcribe-tool
Audio transcription tool. Converts audio files to text with Whisper and optional LLM post-processing. Use when: transcribing meetings, podcasts, or extracting text from recorded audio files.
Best use case
transcribe-tool is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Audio transcription tool. Converts audio files to text with Whisper and optional LLM post-processing. Use when: transcribing meetings, podcasts, or extracting text from recorded audio files.
Teams using transcribe-tool should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/transcribe-tool/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How transcribe-tool Compares
| Feature / Agent | transcribe-tool | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Audio transcription tool. Converts audio files to text with Whisper and optional LLM post-processing. Use when: transcribing meetings, podcasts, or extracting text from recorded audio files.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Transcribe Tool External tool for speech-to-text using Whisper (faster-whisper). ## Invocation via Bash Use **Bash** with `animaworks-tool transcribe <subcommand> [args]`: ### audio — Transcribe audio file ```bash animaworks-tool transcribe transcribe audio_file.wav [-l ja] [-m large-v3-turbo] ``` ## Parameters | Parameter | Type | Default | Description | |-----------|------|---------|--------------| | audio_path | string | (required) | Path to audio file | | language | string | null | Language code (ja, en, etc.). null for auto-detect | | model | string | "large-v3-turbo" | Whisper model name | | raw | boolean | false | If true, skip LLM post-processing | ## CLI Usage (S/C/D/G-mode) ```bash animaworks-tool transcribe transcribe audio_file.wav [-l ja] [-m large-v3-turbo] ``` ## Notes - faster-whisper must be installed - CUDA-compatible ctranslate2 required for GPU acceleration - Model is auto-downloaded on first run
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