Stats
Actions
Tags
From Youtube
Transform messy voice transcription text into well-formatted, human-readable documents while preserving original meaning
How this skill is triggered — by the user, by Claude, or both
Slash command
/Youtube:skills/audio-transcript-cleanupThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Clean up raw audio transcriptions by removing filler words, fixing errors, and adding proper structure.
Clean up raw audio transcriptions by removing filler words, fixing errors, and adding proper structure.
Use the audio_transcript_cleanup.py script to process transcript files:
# Use default output location (~/tmp/cleaned_transcript.md - allows overwrite)
python scripts/audio_transcript_cleanup.py --transcript-file /path/to/transcript.txt
# Specify custom output location (cannot overwrite existing files)
python scripts/audio_transcript_cleanup.py --transcript-file /path/to/transcript.txt --output /path/to/output.md
The script automatically:
--transcript-file (required) - Path to the transcript file to clean up--output (optional) - Custom output path (default: ~/tmp/cleaned_transcript.md)~/tmp/cleaned_transcript.md - Allows overwriteAuto-detects and works with:
npx claudepluginhub MacHu-GWU/sanhe-claude-code-plugins --plugin youtubeCleans raw auto-generated podcast transcripts for publication: removes filler words, corrects errors, adds speaker labels, and formats for readability while preserving authentic voice.
Mechanically cleans raw dictation transcripts into editable drafts: removes fillers/false starts, restores punctuation/paragraphs, flags transcription errors without editing content or voice.
Corrects homophone errors and English proper noun drift in ASR transcripts using a user dictionary. For raw transcripts that need light polishing without rewriting into chapters or summaries.