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HyperFrame Studio - AI Studio
Generate deterministic, frame-accurate MP4 videos from HTML, CSS, and GSAP code using the HyperFrames framework.
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See it in action
You say
Create a 10-second product intro for a site at example.com with a blue/white theme, a fade-in title, and a 'Learn More' CTA button at the end.
Your agent does
Project 'product-intro' initialized. BRIEF.md generated. index.html created with GSAP timeline and data-composition-id. Linting passed. Check passed. Rendered high-quality MP4 to out.mp4 (10.0s, 1920x1080).
What you get
About this skill
The problem
Manual video editing is a bottleneck for developers and agents. Traditional GUI timelines are opaque to code, making automated video generation brittle, non-deterministic, and impossible to version control effectively.
What it does
- Generates deterministic MP4 videos directly from HTML, CSS, and GSAP animation code.
- Provides a CLI-driven production loop including scaffolding, linting, and frame-accurate rendering.
- Orchestrates seekable animations across DOM elements using data-attributes for timing and duration.
- Supports local rendering via FFmpeg or cloud execution on AWS Lambda, GCP, and HeyGen.
- Automates complex layouts, motion graphics, and beat-synced visuals without a manual editor.
Frameworks & tools
Node.js 22+, FFmpeg, GSAP, Lottie, Three.js, and the HyperFrames CLI.
Why this beats prompting it yourself
Standard LLM prompts often fail to maintain frame-accurate determinism or overlook silent layout bugs like collapsed roots and CSS-transform conflicts. This skill enforces a strict contract for seekable runtimes and unique ID management, ensuring the generated code actually renders without black frames or broken media.
Use cases
- Generate product launch videos directly from a website URL or feature brief.
- Automate social media captions and graphical overlays for talking-head footage.
- Convert GitHub Pull Requests into animated changelog and feature reveal clips.
- Create beat-synced promotional videos from audio files and brand assets.
Known limitations
Requires Node.js 22 and FFmpeg installed. Not suitable for videos exceeding 3 minutes. Animations must be deterministic; network requests or unseeded random values during render will fail.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Frequently Asked Questions
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