Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Added support link at top
What This Skill Does
Clips Machine takes long videos from YouTube, local files, TikTok, Twitter/X, or Twitch and cuts them into short vertical clips ready for TikTok, Reels, or Shorts. It transcribes audio locally with Whisper, scores each moment by virality criteria, and exports captioned 9:16 clips with multiple text style options.
Runs entirely on local tools with no cloud service, so there are no per-clip fees, upload limits, or API keys required.
When to use it
- Clipping the top 5 moments from a 2-hour podcast
- Turning a Twitch gaming VOD into meme-captioned TikToks
- Extracting quotable segments from a conference keynote on YouTube
- Processing a local interview MP4 into Reels-ready highlights
- Batch-generating 10 short clips from a long YouTube interview for a client
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Take this podcast and find the 10 best moments: https://youtube.com/watch?v=PODCAST_ID — make them Hormozi-style with bold captions
- 1Downloads the video using yt-dlp
- 2Transcribes the audio locally with Whisper.cpp to produce a timestamped transcript
- 3Analyzes the transcript and scores moments by virality criteria (hooks, emotional peaks, quotable lines)
- 4Cuts the top 10 segments using FFmpeg and crops to 9:16 vertical format
- 5Renders animated Hormozi-style captions onto each clip and saves them to ~/Videos/OpenClaw/
10 captioned vertical MP4 clips with a summary.md listing each clip's virality score and timestamp
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.