---
name: clips-machine
description: Transform long videos into viral short-form clips. Auto-detect best moments, add trendy captions, export for TikTok/Reels/Shorts.
version: 1.0.0
author: mayankgupta
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.

## 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

| Source | Example |
|--------|---------|
| YouTube | `https://youtube.com/watch?v=...` |
| TikTok | `https://tiktok.com/@user/video/...` |
| Twitter/X | `https://twitter.com/user/status/...` |
| Twitch VOD | `https://twitch.tv/videos/...` |
| Local MP4 | `/path/to/file.mp4` |

## Requirements

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

## Setup

```bash
# 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

| Method | Potential |
|--------|-----------|
| Clip service for creators | $50-150/video |
| Monthly retainer | $500-2,000/client |
| Podcast clipping agency | $2,000-5,000/mo |
| Sell this skill | $100-300 on ClawHub |

## 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
```

---

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


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/mayank8290/clips-machine/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 clawdbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/mayank8290/clips-machine/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Marketing
Roles: Content Marketer, Growth Marketer, Influencer Marketer, Social Media Manager, Video Producer
Specialties: Specialty not specified
Tools: FFmpeg, Openclaw, Whisper
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 5b84cd3a89570c956ddf990e3f6a828c3aed2f8f0eda7d9bb1bdfcfee72d3600