本文へ移動
cccskills
無料GitHub で公開

hyperframes-registry

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

インストール方法を見る

含まれるファイル(10)

  • SKILL.md5.3 KB
  • examples/add-block.md1.2 KB
  • examples/add-component.md1.4 KB
  • references/contributing.md5.7 KB
  • references/demo-html-pattern.md1.8 KB
  • references/discovery.md17.8 KB
  • references/install-locations.md1.5 KB
  • references/templates.md11.2 KB
  • references/wiring-blocks.md2.6 KB
  • references/wiring-components.md1.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

hyperframes add data-chart              # install a block
hyperframes add grain-overlay           # install a component
hyperframes add captions                # install every block tagged captions
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.

The positional value is resolved as an exact item name first. If no item matches and the value is a tag, the command installs every block with that tag. Registry dependencies are installed before the requested item. hyperframes add works only 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:

{
  "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:

<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

Use the CLI as the primary discovery surface:

npx hyperframes catalog
npx hyperframes catalog --type block
npx hyperframes catalog --type component
npx hyperframes catalog --type block --tag social
npx hyperframes catalog --json
npx hyperframes catalog --human-friendly

The normal table and --json modes only list matches; install a selected name with hyperframes add <name>. --human-friendly opens an interactive picker and installs the selected item immediately. In CI or agent workflows, prefer --json followed by an explicit add.

If the CLI cannot reach the configured registry, inspect the raw manifest as a fallback:

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

日本語の概要は準備中です。原文の説明を表示しています。

coco-research/coco5252026年10月10日 更新

coco-research のスキルをすべて見る

このスキルの問題を報告する