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Hyperframes Registry

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calesthio
hyperframes-registry

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

Overview

Publishercalesthio
RepositoryOpenMontage
Skill namehyperframes-registry
Stars
67K
Forks
8.5K
Bundled files
9
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by calesthio on GitHub. Read the source before you install it.

Installation

Install the Hyperframes Registry AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/hyperframes-registry
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p .claude/skills
cp -r /tmp/OpenMontage/.agents/skills/hyperframes-registry .claude/skills/hyperframes-registry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperframes Registry in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hyperframes Registry on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hyperframes Registry is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HyperFrames Registry

The registry provides reusable blocks and components installable via hyperframes add <name>.

  • Blocks — standalone sub-compositions (own dimensions, duration, timeline). Included via data-composition-src in a host composition.
  • Components — effect snippets (no own dimensions). Pasted directly into a host composition's HTML.

Quick reference

bash
hyperframes add data-chart              # install a block
hyperframes add grain-overlay           # install a component
hyperframes add shimmer-sweep --dir .   # target a specific project
hyperframes add data-chart --json       # machine-readable output
hyperframes add data-chart --no-clipboard  # skip clipboard (CI/headless)

After install, the CLI prints which files were written and a snippet to paste into your host composition. The snippet is a starting point — you'll need to add data-composition-id (must match the block's internal composition ID), data-start, and data-track-index attributes when wiring blocks.

Note: hyperframes add only works for blocks and components. For examples, use hyperframes init <dir> --example <name> instead.

Install locations

Blocks install to compositions/<name>.html by default. Components install to compositions/components/<name>.html by default.

These paths are configurable in hyperframes.json:

json
{
  "registry": "https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry",
  "paths": {
    "blocks": "compositions",
    "components": "compositions/components",
    "assets": "assets"
  }
}

See install-locations.md for full details.

Wiring blocks

Blocks are standalone compositions — include them via data-composition-src in your host index.html:

html
<div
  data-composition-id="data-chart"
  data-composition-src="compositions/data-chart.html"
  data-start="2"
  data-duration="15"
  data-track-index="1"
  data-width="1920"
  data-height="1080"
></div>

Key attributes:

  • data-composition-src — path to the block HTML file
  • data-composition-id — must match the block's internal ID
  • data-start — when the block appears in the host timeline (seconds)
  • data-duration — how long the block plays
  • data-width / data-height — block canvas dimensions
  • data-track-index — layer ordering (higher = in front)

See wiring-blocks.md for full details.

Wiring components

Components are snippets — paste their HTML into your composition's markup, their CSS into your style block, and their JS into your script (if any):

  1. Read the installed file (e.g., compositions/components/grain-overlay.html)
  2. Copy the HTML elements into your composition's <div data-composition-id="...">
  3. Copy the <style> block into your composition's styles
  4. Copy any <script> content into your composition's script (before your timeline code)
  5. If the component exposes GSAP timeline integration (see the comment block in the snippet), add those calls to your timeline

See wiring-components.md for full details.

Discovery

Browse available items:

bash
# Read the registry manifest
curl -s https://raw.githubusercontent.com/heygen-com/hyperframes/main/registry/registry.json

Each item's registry-item.json contains: name, type, title, description, tags, dimensions (blocks only), duration (blocks only), and file list.

See discovery.md for details on filtering by type and tags.

Contributing a new block or component

To author a NEW registry item (caption style, VFX block, transition, lower third, or a reusable component) and ship it as an upstream PR — not install an existing one — follow the full idea → scaffold → build → validate → preview → ship workflow in contributing.md. Copy-paste starter templates (caption / VFX / component / registry-item.json) are in templates.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hyperframes Registry AI skill do?

Install and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add, installing a block or component, wiring an installed item into index.html, or working with hyperframes.json. Covers the add command, install locations, block sub-composition wiring, component snippet merging, registry discovery, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

Why use Hyperframes Registry on TypingMind?

Because you install it once and use it with any model. Hyperframes Registry is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hyperframes Registry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/calesthio/OpenMontage/tree/main/.agents/skills/hyperframes-registry. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hyperframes Registry?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hyperframes Registry?

As many as you like. As long as a model supports skills, you can use Hyperframes Registry with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hyperframes Registry AI skill free?

Yes. It is published on GitHub by calesthio under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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