Canopy Part Title

OrganizationPopular

heygen-com

canopy-part-title

Leaves sweep through the frame and part to reveal the headline. HyperFrames block, 1920×1080, 12s, 11 variables.

Overview

Publisher	heygen-com
Repository	`hyperframes`
Skill name	`canopy-part-title`
Stars	73.3K
Forks	6.6K
Bundled files	4
License	Apache-2.0
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by heygen-com on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/canopy-part-title
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.

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/heygen-com/hyperframes.git /tmp/hyperframes
mkdir -p .claude/skills
cp -r /tmp/hyperframes/registry/blocks/canopy-part-title .claude/skills/canopy-part-title

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canopy Part Title 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 Canopy Part Title 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 Canopy Part Title 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.

Canopy Part Title

A dense canopy of textured leaves sweeps across the frame with shallow depth of field, then parts to uncover the first headline; a second, depth-lifted batch carries the second headline past the camera. A handful of leaves stay behind on the type and keep a light breeze. Font, weight, size, letter spacing, leaf counts, sweep speed and the retained-leaf breeze are variables.

Composition id: canopy-part-title. Duration 12 s at 30 fps, 1920×1080.

Files

canopy-part-title.html (57 KB)
assets/leaf-surface-color.webp (64 KB)
assets/leaf-surface-normal.webp (136 KB)

Install

Install with npx hyperframes add canopy-part-title; by default the files above land under compositions/canopy-part-title/. Then mount the block from the host index.html:

html
<div
  data-composition-id="canopy-part-title"
  data-composition-src="compositions/canopy-part-title/canopy-part-title.html"
  data-start="0"
  data-duration="12"
  data-track-index="1"
  data-width="1920"
  data-height="1080"
></div>

Render with custom values by targeting the composition file directly:

sh
npx --yes hyperframes@0.8.12 render 'compositions/canopy-part-title/canopy-part-title.html' --variables '{"headline1":"Understory","headline2":"Move slowly"}'

Variables

Read at runtime via window.__hyperframes.getVariables(); declared on the composition root as data-composition-variables (single-quoted attribute, plain JSON).

id	type	default	label / range
`headline1`	string	`"Understory"`	Headline 1
`headline2`	string	`"Move slowly"`	Headline 2
`font`	string	`"Helvetica"`	Headline font
`fontWeight`	number	`900`	Font weight 100–900 step 100
`fontSize`	number	`1`	Font size (1 = auto-fit) 0.3–2 step 0.01
`letterSpacing`	number	`0.01`	Letter spacing (em) -0.2–1 step 0.01
`background`	color	`"#020805"`	Background
`leafCount`	number	`170`	Leaves per sweep 40–320 step 1
`stayCount`	number	`5`	Leaves left behind 0–20 step 1
`sweepSpeed`	number	`1`	Sweep speed 0.3–3 step 0.05
`retainedBreeze`	number	`1`	Retained leaf breeze 0–2 step 0.05

Runtime contract

One paused GSAP timeline registered as window.__timelines["canopy-part-title"].
Re-syncs on the hf-seek CustomEvent; every frame is a closed-form function of time (seeded PRNG only, no rAF loops, no Date.now).
Renderer: three.js 0.170.0, GSAP 3.14.2, Canvas 2D, Post-processing, Seeded PRNG, Shadow maps. Budget roughly 350 MB per live instance; run one at a time.
External runtime dependencies: https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js, https://cdn.jsdelivr.net/npm/three@0.170.0/build/three.module.js, https://cdn.jsdelivr.net/npm/three@0.170.0/examples/jsm/postprocessing/EffectComposer.js, https://cdn.jsdelivr.net/npm/three@0.170.0/examples/jsm/postprocessing/RenderPass.js, https://cdn.jsdelivr.net/npm/three@0.170.0/examples/jsm/postprocessing/BokehPass.js.
Web fonts from Google Fonts: Gelasio.

Editing rules (from the source project)

Keep data-composition-variables a single-quoted attribute with plain " JSON. Never save it through Studio's Design panel.
Do not put <canvas> in static markup; create it at runtime.
Keep every visual state a function of t; seek-safety is what makes the block renderable.

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 Canopy Part Title AI skill do?

Leaves sweep through the frame and part to reveal the headline. HyperFrames block, 1920×1080, 12s, 11 variables.

Why use Canopy Part Title on TypingMind?

Because you install it once and use it with any model. Canopy Part Title 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 Canopy Part Title in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/heygen-com/hyperframes/tree/main/registry/blocks/canopy-part-title. 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 Canopy Part Title?

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 Canopy Part Title?

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

Is the Canopy Part Title AI skill free?

Yes. It is published on GitHub by heygen-com under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Canopy Part Title

Files

Install

Variables

Runtime contract

Editing rules (from the source project)

Bundled files

Frequently asked questions

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