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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.

skill openclawclawhub Free
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High Signal

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.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, clips_machine.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.2.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 17 sections Open source page

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

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: 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]/ โ”œโ”€โ”€ transcript.json # Full transcript with timestamps โ”œโ”€โ”€ viral_moments.json # Detected moments with scores โ”œโ”€โ”€ clip_001.mp4 # First viral clip (vertical, captioned) โ”œโ”€โ”€ clip_002.mp4 # Second viral clip โ”œโ”€โ”€ clip_003.mp4 # ... โ””โ”€โ”€ summary.md # Overview of all clips

Supported Sources

SourceExampleYouTubehttps://youtube.com/watch?v=...TikTokhttps://tiktok.com/@user/video/...Twitter/Xhttps://twitter.com/user/status/...Twitch VODhttps://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

MethodPotentialClip service for creators$50-150/videoMonthly retainer$500-2,000/clientPodcast clipping agency$2,000-5,000/moSell this skill$100-300 on ClawHub

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! Buy Me a Coffee Every coffee helps me build more free tools for the community. Built for OpenClaw | Powered by Whisper + FFmpeg | Support the Creator

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts
  • SKILL.md Primary doc
  • clips_machine.py Scripts