hyperframes

Name: hyperframes
Availability: InStock
Author: Preet

Orchestrates research-to-video workflows with HTML/GSP-based rendering and Japanese text formatting.

Updated Apr 22, 2026

Search Tags:#workflow #html #video #captions #narration #gsap #hyperframes

Ready to run

npx skills add https://github.com/PrEEtPatEl44/reels-deepagents --skill hyperframes-preetpatel44

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hyperframes
Source: https://github.com/PrEEtPatEl44/reels-deepagents/tree/main/.agents/skills/hyperframes
Command: npx skills add https://github.com/PrEEtPatEl44/reels-deepagents --skill hyperframes-preetpatel44

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

HyperFrames enables end-to-end video production by coordinating web-based research, narrative scripting, and HTML/GSAP-driven rendering into a polished final video. It provides a repeatable framework to generate a markdown report, produce captions, synthesize narration, design visuals, and render an MP4 with transitions.

Core Features & Use Cases

Orchestrates research, scripting, design, and rendering into a repeatable pipeline.
Generates captions and TTS narration synchronized to audio, with design-driven scene transitions.
Outputs a final video asset and accompanying artifacts (report, script, DESIGN.md, captions, transcript).

Quick Start

Provide a topic to trigger the full pipeline from research through to a finalized video.

Frequently Asked Questions about hyperframes

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

FAQPage Schema

How do I automate HTML to MP4 video production with synchronized TTS narration and captions?▼

Automate HTML to MP4 video production by orchestrating research, narrative scripting, and HTML/GSAP rendering into a CLI-driven pipeline that generates synchronized TTS narration and captions.

What is the best way to build a deterministic timeline for multi-scene video composition using HTML and GSAP?▼

Build a deterministic timeline for multi-scene video composition using HTML and GSAP by orchestrating scene transitions and design-driven visuals within a repeatable end-to-end rendering pipeline.

Can I generate a full research-to-video workflow that outputs a markdown report, script, and MP4 from a single topic input?▼

Yes, you can generate a full research-to-video workflow by providing a single topic to trigger a pipeline that outputs an MP4 alongside accompanying artifacts like a markdown report, script, transcript, and captions.

Does HyperFrames work with Sharp and Node.js for rendering design-driven scene transitions?▼

HyperFrames works with Sharp and Node.js dependencies to render design-driven scene transitions, utilizing HTML and GSAP for visual generation and Sharp for image processing.

Why do I need an observability UI for my automated HTML video rendering pipeline?▼

You need an observability UI for your automated HTML video rendering pipeline to monitor the deterministic timeline, track multi-scene composition progress, and verify synchronized TTS narration and caption generation.

What limitations exist when using a CLI-driven deterministic timeline for research-to-video workflows?▼

Limitations of a CLI-driven deterministic timeline for research-to-video workflows include strict dependency on structured input topics and requiring Node.js with Sharp and HyperFrames producer packages for full multi-scene rendering execution.