hyperframes

Translate user prompts into HTML video compositions with deterministic rendering.

118|12|Updated May 5, 2026
One-click install
npx skills add https://github.com/alecs5am/ralphy --skill hyperframes-alecs5am
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hyperframes
Source: https://github.com/alecs5am/ralphy/tree/main/.agents/skills/hyperframes
Command: npx skills add https://github.com/alecs5am/ralphy --skill hyperframes-alecs5am

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @hyperframes/producer, and includes scripts (resource) and references (resource) components.

What problem does it solve?

HyperFrames empowers automation to turn user prompts into production-ready HTML video compositions, reducing manual setup and guaranteeing deterministic rendering across environments.

Core Features & Use Cases

  • Create HTML-based video compositions with data-driven timelines, entrance animations, and scene transitions.
  • Generate captions, text-to-speech narration, and audio-reactive visuals that synchronize with audio timing.
  • Support design-guided workflows for per-scene prompts, beat-driven motion, marker highlights, and shader/CSS transitions.
  • Use for multi-scene product explainers, brand reels, tutorials, and social videos that require repeatable renders.

Quick Start

Describe your desired video and I will generate a complete HyperFrames composition ready to render.

Frequently Asked Questions about hyperframes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate HTML video production with synchronized captions and TTS narration?

HTML video production with synchronized captions and TTS narration is automated by translating user prompts into deterministic HyperFrames video compositions. These compositions feature data-driven timelines, audio-reactive visuals, and per-scene choreography to deliver repeatable multi-scene renders.

Can I generate multi-scene video explainers from a single text prompt?

Generating multi-scene video explainers from a single text prompt is fully supported. The system translates the prompt into a complete production-ready composition, applying beat-driven motion, marker highlights, and shader or CSS transitions across all scenes for repeatable outputs.

How does deterministic rendering work for HTML-based video compositions?

Deterministic rendering for HTML-based video compositions works by using data-driven timelines and per-scene choreography to guarantee repeatable outputs across environments. This ensures that complex animation, text-to-speech timing, and audio-reactive visuals render consistently every time.

Do I need the @hyperframes/producer package to render cinematic videos?

The @hyperframes/producer package is required as a dependency to render cinematic videos. It provides the underlying environment needed to process the generated HTML compositions, ensuring deterministic rendering and proper synchronization of audio-reactive visuals.

What is the best way to add audio-reactive visuals and scene transitions to a video project?

The best way to add audio-reactive visuals and scene transitions is by defining per-scene prompts within a HyperFrames composition. The system handles the choreography, applying shader and CSS transitions alongside beat-driven motion synchronized to audio timing.

Are there limitations when using GSAP timelines for multi-scene video rendering?

Multi-scene video rendering relying on GSAP timelines requires strict synchronization with TTS narration and audio-reactive visuals to maintain deterministic outputs. Complex shader or CSS transitions may increase render overhead, so scene choreography must be carefully structured to avoid timing desynchronization.