# Podcast Edit

Edit podcast audio or video, trim pre/post-show chat, remove filler words, cut...

- Repository: https://github.com/OpenClaudia/openclaudia-skills (724 stars)
- Category: Media
- License: MIT
- Last updated: 2026-10-29
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add OpenClaudia/openclaudia-skills --skill podcast-edit -g -a claude-code -y`
Codex: `npx skills add OpenClaudia/openclaudia-skills --skill podcast-edit -g -a codex -y`
Cursor: `npx skills add OpenClaudia/openclaudia-skills --skill podcast-edit -g -a cursor -y`
Gemini CLI: `npx skills add OpenClaudia/openclaudia-skills --skill podcast-edit -g -a gemini-cli -y`

## Description

Edit podcast audio or video, trim pre/post-show chat, remove filler words, cut silences, enhance audio quality, and cut a video version of the same edit. Use when the user asks to edit a podcast, clean up audio, remove fillers, trim a recording, or improve voice quality.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Podcast Edit Skill

Process raw podcast/meeting recordings into polished podcast episodes.

## Capabilities

1. **Smart trimming**, Find where the actual podcast starts/ends by transcribing and detecting intros/outros
2. **Filler word removal**, Remove verbal tics: 嗯, 呃, 啊, 哦, 对对对, um, uh, etc.
3. **Silence trimming**, Cut long dead air (>2s) down to natural pauses (~0.6s)
4. **Audio enhancement**, Noise reduction, EQ, multi-speaker volume balancing, loudness normalization to podcast standard (−16 LUFS)
5. **Re-cutting a finished episode**, Surgically remove flagged sections from an already-rendered episode without re-running the whole pipeline
6. **Highlight clips & reel**, Cut shareable soundbites and stitch a ~1-minute reel with music
7. **Video cut**, Apply the same edit to a Zoom/Riverside video recording (see "Video episodes")

## Prerequisites

- `ffmpeg` and `ffprobe` installed
- `OPENAI_API_KEY` in environment (for Whisper API transcription)
- Python 3 with stdlib only (no extra deps for the helper script)
- Optional: `resemblyzer` (`pip install resemblyzer`), only for speaker diarization when building highlight reels

## Workflow

### Step 1: Inspect the audio file

```bash
ffprobe -v quiet -print_format json -show_format -show_streams "INPUT_FILE"
```

Note: duration, sample rate, channels, codec, bitrate.

### Step 2: Find podcast start/end (if user says to trim front/back)

Split into 5-minute chunks and transcribe via OpenAI Whisper API with segment-level timestamps:

```bash
# Extract chunk
ffmpeg -y -i "INPUT_FILE" -ss OFFSET -t 300 -ar 16000 -ac 1 /tmp/chunk_OFFSET.mp3

# Transcribe
curl -s https://api.openai.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -F file="@/tmp/chunk_OFFSET.mp3" \
  -F model="whisper-1" \
  -F response_format="verbose_json" \
  -F language="LANG" \
  -F 'timestamp_granularities[]=segment' > /tmp/transcript_OFFSET.json
```

The rest: https://github.com/OpenClaudia/openclaudia-skills/blob/HEAD/skills/podcast-edit/SKILL.md