Render MP4/WebM videos from HTML compositions with HyperFrames: title cards, captioned narration, product tours, and audio-reactive visuals. Use when a video mu
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See it in action
You say
Create a 30-second promotional MP4 from my landing page HTML. Include a GSAP fade-in for the hero section and sync the footer text to a 5-second audio clip.
Your agent does
Project initialized at /promo. HTML structure mapped to GSAP timeline. Assets bundled for deterministic rendering. Linter passed. Rendering final.mp4 at 30fps, high quality. Output: final.mp4 [3.2MB]. Preview stills generated.
What you get
About this skill
The problem
Creating professional video content often requires heavy GUI tools or complex math-based animation libraries. Developers struggle to maintain brand consistency when translating web-based UI and typography into high-quality video formats.
What it does
- Converts HTML, CSS, and GSAP animations into frame-accurate MP4 or WebM video files.
- Syncs text-to-speech audio with on-screen captions using precise waveform timing.
- Generates audio-reactive visuals and dynamic scene transitions directly from web code.
- Automates the rendering pipeline using a headless browser for pixel-perfect reproduction.
- Validates compositions with a built-in linter to prevent frame drops and broken assets.
Frameworks & tools
Node.js, FFmpeg, GSAP, HyperFrames CLI, and Docker for reproducible rendering environments.
Why this beats prompting it yourself
Generic LLMs often fail to coordinate the timing between CSS transitions and FFmpeg encoding parameters. This skill enforces a deterministic rendering workflow, ensuring fonts are bundled and animations are synced to audio without manual trial-and-error.
Use cases
- Exporting animated product tours or UI mockups for marketing demos.
- Generating social media clips with dynamic captions and audio-reactive elements.
- Creating reusable title cards and lower-thirds for automated video pipelines.
- Batch rendering localized versions of a video by swapping HTML text layers.
Known limitations
Requires Node.js 22 or higher and a local FFmpeg installation. Not suitable for complex math visualizations or real-time live streaming.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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