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gaotiexinqugaotiexinqu/OneResearchClaw/.cursor/skills/audio_structuring/SKILL.md

audio_structuring

Skill444 starsChanged 7 months agoMITView on GitHub

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    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:

    Do not implement custom ASR, alignment, or diarization logic.

    line 19
  2. Distinctive:

    Do not generate summary, action items, reports, or any extra files.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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 Structuring Skill

Purpose

Convert a meeting audio file into a dialogue-style transcript txt file for downstream skills.

Input

  • audio_path: path to a single audio file
  • output_dir: directory to save the transcript
  • optional transcription_language: language code such as en or zh

Output

  • meeting_transcript.txt

Behavior

  • Reuse WhisperX as the transcription backend.
  • Reuse local offline model directories instead of downloading models from Hugging Face at runtime.
  • Enable diarization so the txt contains speaker labels whenever available.
  • Automatically convert Traditional Chinese output to Simplified Chinese when language is set to zh, zh-CN, or zh-TW.
  • Do not implement custom ASR, alignment, or diarization logic.
  • Do not generate summary, action items, reports, or any extra files.
  • This skill only produces transcript txt for downstream skills.

Local model requirements

The repository is expected to provide these local model directories under models/:

  • models/faster-whisper-large-v2
  • models/speaker-diarization-community-1

Run

bash scripts/run.sh <audio_path> <output_dir> [language]

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