HyperFrames Animation
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
TypeGPU and raw WebGPU adapter patterns for HyperFrames. An agent skill from boraoztunc/skills.
$ npx skills add boraoztunc/skills --skill typegpu -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install boraoztunc/skills typegpu --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/typegpu .claude/skills/typegpu && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .claude/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/boraoztunc/skills/tree/main/typegpuType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add boraoztunc/skills --skill typegpu -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install boraoztunc/skills typegpu --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/typegpu .agents/skills/typegpu && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .agents/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add boraoztunc/skills --skill typegpu -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install boraoztunc/skills typegpu --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/typegpu .cursor/skills/typegpu && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .cursor/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/boraoztunc/skills.git --path typegpu--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add boraoztunc/skills --skill typegpu -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install boraoztunc/skills typegpu --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/typegpu .gemini/skills/typegpu && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .gemini/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install boraoztunc/skills typegpuInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add boraoztunc/skills --skill typegpu -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/typegpu .github/skills/typegpu && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .github/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add boraoztunc/skills --skill typegpu -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install boraoztunc/skills typegpu --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/boraoztunc/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/typegpu .opencode/skills/typegpu && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "typegpu" agent skill from https://github.com/boraoztunc/skills/tree/main/typegpu into .opencode/skills/typegpu/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "typegpu", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
typegpuTypeGPU and raw WebGPU adapter patterns for HyperFrames. An agent skill from boraoztunc/skills.
Typegpu is an agent skill from boraoztunc/skills. TypeGPU and raw WebGPU adapter patterns for HyperFrames. Use when creating GPU-rendered compositions with TypeGPU, raw WebGPU, WGSL fragment shaders, compute pipelines, liquid glass effects, particle systems, or any canvas layer driven by navigator.gpu that responds to HyperFrames hf-seek events.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Motion graphics and Shaders. It works with HeyGen. The repository describes itself as: Claude Code skills for copywriting, SEO, design, and more. The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 645553c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript, wgsl and html).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Typegpu loads about 1.7k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 405 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from boraoztunc/skills at commit 645553c, republished under its Apache-2.0 licence (© boraoztunc). 405 words, ~1,667 tokens.
.claude/skills/typegpu/SKILL.md (or your agent's skills folder).HyperFrames supports TypeGPU and raw WebGPU through its typegpu runtime adapter. The adapter does not own your pipeline. It publishes HyperFrames time and dispatches a seek event so your composition can render the exact GPU frame.
await navigator.gpu.requestAdapter()), but register all GSAP tweens synchronously — before any await. The HyperFrames player reads the timeline immediately at page load.performance.now().hf-seek event and re-render at exactly that time.await device.queue.onSubmittedWorkDone() after submitting GPU work to ensure the canvas is flushed before the frame is captured.The adapter sets window.__hfTypegpuTime and dispatches new CustomEvent("hf-seek", { detail: { time } }) on each seek.
<canvas id="gpu-layer"></canvas>
<script>
(async () => {
if (!navigator.gpu) return;
const adapter = await navigator.gpu.requestAdapter();
if (!adapter) return;
const device = await adapter.requestDevice();
const canvas = document.getElementById("gpu-layer");
canvas.width = 1920;
canvas.height = 1080;
const ctx = canvas.getContext("webgpu");
const fmt = navigator.gpu.getPreferredCanvasFormat();
ctx.configure({ device, format: fmt, alphaMode: "opaque" });
// Build your pipeline, buffers, bind groups...
const timeUniform = new Float32Array([0]);
const timeBuf = device.createBuffer({
size: 16,
usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST,
});
function render(t) {
timeUniform[0] = t;
device.queue.writeBuffer(timeBuf, 0, timeUniform);
const enc = device.createCommandEncoder();
const pass = enc.beginRenderPass({
colorAttachments: [
{
view: ctx.getCurrentTexture().createView(),
loadOp: "clear",
clearValue: { r: 0, g: 0, b: 0, a: 1 },
storeOp: "store",
},
],
});
pass.setPipeline(pipeline);
pass.setBindGroup(0, bindGroup);
pass.draw(3);
pass.end();
device.queue.submit([enc.finish()]);
}
render(0);
window.addEventListener("hf-seek", (e) => render(e.detail.time));
})();
</script>GSAP tweens that drive text, captions, or HTML elements must be registered synchronously — before any await:
const tl = gsap.timeline({ paused: true });
// Caption tweens: synchronous, added before WebGPU init
gsap.set(".cap", { opacity: 0 });
tl.to("#cap-1", { opacity: 1, duration: 0.3 }, 1.0);
tl.to("#cap-1", { opacity: 0, duration: 0.2 }, 3.5);
window.__timelines["my-comp"] = tl;
// GPU-dependent tweens can go inside the async IIFE
(async () => {
// ... WebGPU init ...
const proxy = { value: 0 };
tl.to(proxy, { value: 1, duration: 2, onUpdate: render }, 0.5);
})();To use a <video> as the GPU input texture:
const videoEl = document.getElementById("aroll");
// Wait for video metadata before creating the texture
await new Promise((r) => {
if (videoEl.readyState >= 1) r();
else videoEl.addEventListener("loadedmetadata", r, { once: true });
});
// Create texture at the video's NATIVE resolution
const vw = videoEl.videoWidth,
vh = videoEl.videoHeight;
const bgTex = device.createTexture({
size: [vw, vh],
format: "rgba8unorm",
usage:
GPUTextureUsage.COPY_DST | GPUTextureUsage.TEXTURE_BINDING | GPUTextureUsage.RENDER_ATTACHMENT,
});
function render(t) {
try {
device.queue.copyExternalImageToTexture({ source: videoEl }, { texture: bgTex }, [vw, vh]);
} catch (_) {
/* frame not decoded yet */
}
// ... draw ...
}Render-mode caveat: headless Chrome may fail copyExternalImageToTexture for video elements. For production renders, pre-extract key frames via FFmpeg as PNGs and load them as image textures instead.
A single-pass Gaussian kernel is too weak for glass-like frosted blur. Use a two-pass approach:
This matches TypeGPU's textureSampleBias mip-level approach without generating mipmaps.
alphaMode: 'opaque' — the GPU canvas renders the full frame (video + effect). Use when the GPU pipeline handles all visual content.alphaMode: 'premultiplied' — the GPU canvas is transparent where alpha = 0, letting HTML elements below show through. Use for overlays (particles, path animations) on top of a regular <video> element.The standard vertex shader for full-screen effects (no vertex buffer needed):
struct Vo { @builtin(position) pos: vec4f, @location(0) uv: vec2f }
@vertex fn vs(@builtin(vertex_index) vi: u32) -> Vo {
let ps = array<vec2f, 3>(vec2f(-1., -1.), vec2f(3., -1.), vec2f(-1., 3.));
let ts = array<vec2f, 3>(vec2f(0., 1.), vec2f(2., 1.), vec2f(0., -1.));
return Vo(vec4f(ps[vi], 0., 1.), ts[vi]);
}Draw with pass.draw(3) — one triangle that covers the viewport.
fn sdf_box(p: vec2f, half_size: vec2f, corner_radius: f32) -> f32 {
let d = abs(p) - half_size + vec2f(corner_radius);
return length(max(d, vec2f(0.))) + min(max(d.x, d.y), 0.) - corner_radius;
}Use this to define inside/ring/outside zones for glass effects. Negative values are inside the shape.
Math.random() — use a seeded PRNG.requestAnimationFrame for the render loop — render only in response to hf-seek.performance.now() for animation time — read window.__hfTypegpuTime or e.detail.time.await device.queue.onSubmittedWorkDone() for render-mode frame capture.© boraoztunc, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in typegpu of boraoztunc/skills.
Open the folder on GitHubat commit 645553c
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in boraoztunc/skills, which our catalogue first saw on October 7, 2026.
Typegpu next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Typegpu this skillboraoztunc/skills | 395 | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| HyperFrames Animationheygen-com/hyperframes | 59k | 3 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Faceless Explainer Videoheygen-com/hyperframes | 59k | 3 repos | ~7.7k | Automated safety check: Notes | Apache-2.0 | |
| Figma to HyperFramesheygen-com/hyperframes | 59k | 3 repos | ~4.5k | Automated safety check: Notes | Apache-2.0 | |
| Media Useedenfunf/reelmimic | 1.7k | 2 repos | ~2k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Collects motion rules, scene blueprints, transitions and runtime adapters for HyperFrames video compositions, with GSAP as the default animation runtime.
heygen-com/hyperframes
Turns an article, notes or a topic brief into an explainer video whose visuals are invented per scene, built frame by frame in HyperFrames with no footage.
heygen-com/hyperframes
Imports Figma assets, brand tokens, components and motion into a HyperFrames video composition, using the Figma REST API with a connector or native export for shaders.
edenfunf/reelmimic
Agent Media OS, the single skill for every media need in a HyperFrames project.
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
chmonitor/chmonitor
Non-animation creative direction for HyperFrames videos. An agent skill from chmonitor/chmonitor.
boraoztunc/skills
GSAP animation reference for HyperFrames. An agent skill from boraoztunc/skills.
boraoztunc/skills
Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML.
boraoztunc/skills
Translate an existing Remotion (React-based) video composition into a HyperFrames HTML composition.
boraoztunc/skills
Anime.js adapter patterns for HyperFrames. An agent skill from boraoztunc/skills.
boraoztunc/skills
Create React loading, processing, selected, current, focus, and pressed states with the border-beam package's animated edge glow.
boraoztunc/skills
Compile a theme, sentence, object, mood, article idea, or photo into a quiet Japanese/Korean zine-style editorial poster — tall aged paper, large negative space, one small image anchor, experimental…
Works with
Categories
TypeGPU and raw WebGPU adapter patterns for HyperFrames. An agent skill from boraoztunc/skills. Typegpu is an agent skill from boraoztunc/skills. TypeGPU and raw WebGPU adapter patterns for HyperFrames.
Typegpu fits situations like: creating GPU-rendered compositions with TypeGPU; WGSL fragment shaders; compute pipelines; liquid glass effects.
Run `npx skills add boraoztunc/skills --skill typegpu -a claude-code`. Or copy the skill folder (typegpu in boraoztunc/skills) into .claude/skills/typegpu in your project. Claude Code loads it when a task matches its description.
Run `npx skills add boraoztunc/skills --skill typegpu -a codex`. Or copy the skill folder (typegpu in boraoztunc/skills) into .agents/skills/typegpu in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add boraoztunc/skills --skill typegpu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/typegpu, .gemini/skills/typegpu, .github/skills/typegpu and .opencode/skills/typegpu in your project.
SKILL.md names no scripts, command-line tools or credentials: Typegpu is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Typegpu is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Typegpu: HyperFrames Animation (heygen-com/hyperframes, 59k stars), Faceless Explainer Video (heygen-com/hyperframes, 59k stars), Figma to HyperFrames (heygen-com/hyperframes, 59k stars) and Media Use (edenfunf/reelmimic, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
boraoztunc (a GitHub user) maintains it in boraoztunc/skills, which has 395 GitHub stars. The repository holds 52 skills in this directory. The repository was last updated on August 15, 2026.
Source: boraoztunc/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.