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name: clips-machine description: Transform long videos into viral short-form clips. Auto-detect best moments, add trendy captions, export for TikTok/Reels/Shorts. Self-contained, no external modules. 100% free tools. version: 1.1.0 author: Mayank8290 homepage: https://github.com/Mayank8290/openclaw-video-skills tags: video, clips, tiktok, reels, shorts, viral, captions, transcription metadata: { "openclaw": { "requires": { "bins": ["ffmpeg", "yt-dlp", "whisper-cpp"] } } }

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.

Love this skill? Support the creator and help keep it free: Buy Me a Coffee

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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Support This Project

If this skill saved you time or made you money, consider buying me a coffee!

Buy Me a Coffee

Every coffee helps me build more free tools for the community.

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Built for OpenClaw | Powered by Whisper + FFmpeg | Support the Creator