clean-transcript

Files (1)

• SKILL.md

SKILL.md (first lines)

# Clean transcript

Post-processing pass on an existing transcript to strip disfluencies.

## Input

A transcript file, typically `<stem>.raw.txt` produced by `transcribe-gemini-raw` or `transcribe-whisper-local`.

## What to remove

- Filler words: `um`, `uh`, `er`, `ah`, `like` (as filler), `you know` (as filler), `I mean` (as filler), `sort of`, `kind of` (as hedges only)
- Immediate repetitions: "I-I-I think", "the the"
- Obvious false starts: "I was going to— I wanted to say"
- Stutters and single-word restarts

## What to preserve

- All content words and real intent
- Speaker's phrasing and vocabulary
- Paragraph breaks and any speaker labels
- Tone, register, and idiom
- Lists, enumerations, technical terms

## What NOT to do

- Do not summarize
- Do not reorder sentences
- Do not add headers
- Do not paraphrase
- Do not correct grammar unless the raw transcript has a clear transcription error

## Output convention

`<source_stem>.cleaned.md` in the same directory as the input transcript.

## Implementation

This is an LLM task — read the input file, apply the rules above, write the cleaned version. No external tools needed.

From danielrosehill/Claude-Transcription-Plugin, MIT.

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