agentleFS
aryankumar06aryankumar06/claude-code-skills/audio-transcription-skill/SKILL.md

audio-transcription

Skill16 starsChanged 8 months agoMITView on GitHub

Transcribe uploaded audio files (MP3, WAV, M4A) to text using OpenAI Whisper. Generate clean text or SRT subtitles. Works offline after initial setup.

  • Installs packages

7 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prepare Audio: Ensure file is in supported format (MP3, WAV, M4A) and accessible

    line 14
  2. Distinctive:

    Run Transcription: Use the script with your audio file

    line 15
  3. Distinctive:

    Process Results: Use the generated text/subtitle file as needed

    line 17

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Audio Transcription

This skill enables transcription of audio files to text using OpenAI Whisper, running locally via pip. Supports MP3, WAV, M4A formats with output as plain text or SRT subtitle files.

Core Workflow

To transcribe an audio file:

  1. Prepare Audio: Ensure file is in supported format (MP3, WAV, M4A) and accessible
  2. Run Transcription: Use the script with your audio file
  3. Choose Output: Get plain text transcription or SRT subtitles
  4. Process Results: Use the generated text/subtitle file as needed

Triggers

  • "Transcribe this audio"
  • "convert voice memo to text"
  • "generate subtitles"

Usage Examples

# Basic transcription to text
python scripts/transcribe_audio.py my_audio.mp3

# Generate SRT subtitles
python scripts/transcribe_audio.py my_audio.mp3 --output subtitles.srt

# Specify language (auto-detect by default)
python scripts/transcribe_audio.py my_audio.mp3 --language en

Requirements

  • Python 3.8+
  • openai-whisper: pip install openai-whisper
  • FFmpeg: Pre-installed or install via choco install ffmpeg
  • PyTorch: Optional but recommended for GPU acceleration

Bundled Resources

Scripts

  • scripts/transcribe_audio.py: Command-line tool for audio transcription

References

  • references/whisper_guide.md: Complete Whisper usage guide
  • references/audio_formats.md: Supported formats and preprocessing
  • references/subtitles_guide.md: SRT subtitle generation and formatting

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.