Clips Machine

Transform long videos into viral short-form clips. Auto-detect the best moments, add trendy captions, export for TikTok/Reels/Shorts.

100% FREE tools - Runs entirely on your machine.

What This Skill Does

1. Input any long video (YouTube URL, podcast, stream, local file)
2. Transcribe with timestamps using Whisper (free, local)
3. Detect viral-worthy moments using AI analysis
4. Cut the best 30-60 second segments
5. Caption with animated, trendy text styles
6. Export in vertical 9:16 format ready for upload

Quick Start

Turn this podcast into viral clips: https://youtube.com/watch?v=xyz

Extract the 5 best moments from my-interview.mp4 and add captions

Commands

From YouTube URL

/clips-machine https://youtube.com/watch?v=VIDEO_ID

From Local File

/clips-machine /path/to/video.mp4

Custom Number of Clips

/clips-machine VIDEO --clips 10

Caption Styles

/clips-machine VIDEO --style [style]

Available styles:

• hormozi - Alex Hormozi style (bold, word-by-word highlight) - Most Viral
• minimal - Clean white text
• karaoke - Word-by-word color change
• news - Lower third style
• meme - Impact font, top/bottom

How Viral Detection Works

The AI analyzes the transcript looking for:

1. Hook Potential - Strong opening statements
2. Emotional Peaks - Passion, excitement, surprise
3. Quotable Lines - Memorable one-liners
4. Controversial Takes - Debate-worthy opinions
5. Surprising Facts - "Did you know" moments
6. Actionable Advice - Clear takeaways

Each moment gets a "virality score" from 1-100.

Output Structure

~/Videos/OpenClaw/clips-[video-name]/
├── transcript.json      # Full transcript with timestamps
├── viral_moments.json   # Detected moments with scores
├── clip_001.mp4         # First viral clip (vertical, captioned)
├── clip_002.mp4         # Second viral clip
├── clip_003.mp4         # ...
└── summary.md           # Overview of all clips

Supported Sources

Requirements

• FFmpeg (brew install ffmpeg)
• yt-dlp (brew install yt-dlp)
• Whisper.cpp (brew install whisper-cpp)

Setup

# Install dependencies
brew install ffmpeg yt-dlp whisper-cpp

# Or on Linux
sudo apt install ffmpeg
pip install yt-dlp
# Build whisper.cpp from source

Monetization

Examples

Podcast to Clips

Take this 2-hour podcast and find the 10 best moments:
https://youtube.com/watch?v=PODCAST_ID
Make them Hormozi-style with bold captions.

Interview Highlights

/clips-machine interview.mp4 --clips 5 --style minimal

Gaming Stream

Extract funny moments from my Twitch VOD:
https://twitch.tv/videos/12345
Add meme-style captions

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Built for OpenClaw | Powered by Whisper + FFmpeg | 100% Free