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Clips Machine
by
Mayank8290
· GitHub ↗
· v1.2.1
2131
Downloads
7
Stars
1
Active Installs
4
Versions
Install in OpenClaw
/install 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.
README (SKILL.md)
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
- Input any long video (YouTube URL, podcast, stream, local file)
- Transcribe with timestamps using Whisper (free, local)
- Detect viral-worthy moments using AI analysis
- Cut the best 30-60 second segments
- Caption with animated, trendy text styles
- 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 Viralminimal- Clean white textkaraoke- Word-by-word color changenews- Lower third stylememe- Impact font, top/bottom
How Viral Detection Works
The AI analyzes the transcript looking for:
- Hook Potential - Strong opening statements
- Emotional Peaks - Passion, excitement, surprise
- Quotable Lines - Memorable one-liners
- Controversial Takes - Debate-worthy opinions
- Surprising Facts - "Did you know" moments
- 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
# 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
Support This Project
If this skill saved you time or made you money, consider buying me a coffee!
Every coffee helps me build more free tools for the community.
Built for OpenClaw | Powered by Whisper + FFmpeg | Support the Creator
Usage Guidance
This skill appears coherent with its stated purpose, but before installing/run it: (1) ensure ffmpeg, yt-dlp and whisper-cpp are obtained from trusted sources and installed in a secure environment; (2) confirm you have rights to download/process any remote video you give it; (3) review or run the script in a sandbox/VM if you're concerned about executing third-party code; (4) note it writes outputs to ~/Videos/OpenClaw (or OUTPUT_DIR if set) and will download remote media—monitor disk/network usage. If you want higher assurance, review the full clips_machine.py file (the visible portions are standard) or run it on a non-sensitive machine first.
Capability Analysis
Type: OpenClaw Skill
Name: clips-machine
Version: 1.2.1
The OpenClaw AgentSkill 'clips-machine' is classified as benign. The `clips_machine.py` script demonstrates good security practices by using `subprocess.run` with a list of arguments (avoiding `shell=True`), implementing URL validation against a whitelist of allowed domains to prevent SSRF, and using `tempfile.mkstemp` for secure temporary file creation. Additionally, the script sanitizes text before generating ASS subtitle files to mitigate injection risks. The `SKILL.md` documentation is clear, aligns with the script's functionality, and contains no evidence of prompt injection attempts against the OpenClaw agent or instructions for malicious behavior. All external dependencies (`ffmpeg`, `yt-dlp`, `whisper-cpp`) are legitimate tools for video processing.
Capability Assessment
Purpose & Capability
Name/description (video -> short clips) match the actual behavior: it invokes yt-dlp, ffmpeg, and whisper-cpp to download, transcribe, cut, crop, caption and export clips. The declared required binaries are appropriate and necessary for the stated functionality.
Instruction Scope
SKILL.md and the script restrict actions to downloading permitted domains, local transcription, clip detection, cutting, captioning, and exporting into a local output folder. No instructions ask the agent to read unrelated system files, secrets, or to send data to unknown endpoints.
Install Mechanism
There is no install spec (instruction-only install), and the script itself uses only standard subprocess calls to system binaries. The user must install ffmpeg, yt-dlp and whisper-cpp manually as documented; no risky third-party download/execute steps are embedded.
Credentials
The skill declares no required environment variables or credentials. The code optionally reads OUTPUT_DIR (to set an output path) and resolves local whisper model paths; no secrets or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide changes or modify other skills' configurations. It runs as a standalone script and writes outputs only to a user-writable directory.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install clips-machine - After installation, invoke the skill by name or use
/clips-machine - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
Added support link at top
v1.2.0
Added support/donation link
v1.1.0
v1.1.0: Self-contained (no external modules), security hardened (SSRF protection, secure tempfiles, URL validation, ASS injection prevention), fixed all scanner flags
v1.0.0
Initial release: Effortlessly transform long videos into viral short-form clips.
- Auto-detects the best moments using AI with virality scoring.
- Adds animated, trendy captions in multiple styles (Hormozi, minimal, meme, more).
- Supports direct export for TikTok, Reels, and Shorts in vertical format.
- Accepts YouTube, TikTok, Twitter/X, Twitch VOD, and local MP4 inputs.
- 100% free and runs fully on your local machine (requires ffmpeg, yt-dlp, whisper-cpp).
Metadata
Frequently Asked Questions
What is Clips Machine?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 2131 downloads so far.
How do I install Clips Machine?
Run "/install clips-machine" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Clips Machine free?
Yes, Clips Machine is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Clips Machine support?
Clips Machine is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Clips Machine?
It is built and maintained by Mayank8290 (@mayank8290); the current version is v1.2.1.
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