Works with the AI tools you already use
Nex Video Frame Pipeline
by Nex AI
Convert MP4 videos into dual-resolution, web-optimized WebP frame sequences for high-performance scroll animations.
Free
See it in action
You say
Extract frames from product-hero.mp4 for a high-end scroll animation segment.
Your agent does
Probing 'product-hero.mp4': 10s duration found. Recommended: 60 frames. Extracted to /frames:
- Desktop (1920x1080): 12.4MB
- Mobile (960x540): 3.8MB Manifest generated with recommended_scroll_height: 400vh. Everything within budget!
About this skill
What it does
The Nex Video Frame Pipeline is a developer-centric utility that automates the complex process of turning a standard MP4 video into a high-performance, web-optimized frame sequence. It performs a multi-stage operation: analyzing video metadata via ffprobe, calculating an optimal frame-to-scroll-depth ratio, and extracting synchronized frames at dual resolutions (Desktop/Mobile). It uses an intelligent FFmpeg libwebp fast-path with a Pillow fallback to ensure it runs in any environment where Python and FFmpeg are available.
Why use this skill
Manually extracting frames for "Apple-style" scroll animations is tedious and error-prone. This skill handles the heavy lifting by ensuring your frame naming is perfectly sequential, your payloads stay within web budgets (15MB Desktop / 5MB Mobile), and your aspect ratios remain consistent across devices. It eliminates the guesswork of "how many frames do I need for this duration?" by using a proven mathematical formula for smooth scrolling.
Output & Integration
The pipeline generates organized directories of WebP images and a critical manifest.json. This manifest includes source metadata and a recommended scroll height, making it ready for immediate injection into scroll-driven animation engines like GSAP or NEX Scroll. It automatically warns you if your total file size is likely to cause performance issues on mobile devices.
- Automated dual-resolution (Desktop/Mobile) extraction.
- Smart frame-count calculation based on video duration.
- Payload budget monitoring and optimization recommendations.
- Robust FFmpeg/Pillow fallback architecture.
- Standardized manifest generation for downstream JS engines.
Built by Nex AI. More skills and info at nex-ai.be and slopsome.com.
Changelog
- v1.2LatestAug 6, 2026
v1.1: marketplace refresh. Added README with FAQ and known limitations, license, changelog, manifest metadata. Cleaned packaging for the security scan. No breaking changes to the skill workflow.
- v1.1Jul 13, 2026
Refreshed audited build: manifest, README, worked examples and security declarations cleaned up.
- v1.0Jun 6, 2026
Initial release
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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