transcribe-refiner
CommunityTurn messy captions into clean, readable transcripts.
System Documentation
What problem does it solve?
Clean and reconstruct raw auto-generated captions (Zoom, YouTube, Teams, Google Meet, Otter.ai, etc.) into readable, coherent transcripts. Use when the user provides raw caption files (.txt, .vtt, .srt), meeting transcripts with timestamps and speaker tags, or asks to clean up/refine a transcript. Handles: timestamp removal, speaker tag normalization, filler word removal, broken sentence reconstruction, transcription error correction, paragraph formation. Preserves every piece of substantive content while removing noise.
Core Features & Use Cases
- Smart cleanup of noisy captions into coherent transcripts.
- Speaker normalization and sectioning for Q&A or lectures.
- Preservation of all substantive content with noise removal and structure.
Quick Start
Use this skill to clean up a raw caption file (txt, vtt, srt) into a clean, readable transcript with timestamps removed and speakers normalized.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: transcribe-refiner Download link: https://github.com/praxstack/skills-and-personas/archive/main.zip#transcribe-refiner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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