typegpu
Skill0 starsChanged 5 months agoApache-2.0View on GitHub
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.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- Biznomad/claude-skillsword for word, first seen Jul 14, 2026
- boraoztunc/skillsword for word, first seen Jun 11, 2026
- Fldicoahkiin/WalDriveword for word, first seen Jun 10, 2026
- software-mansion-labs/skillstheir own version, first seen Apr 20, 2026
Other versions4 projects use a version of this.
Word for word · 3
- boraoztunc/skills★ 454100% same
- Biznomad/claude-skills★ 0100% same
- Fldicoahkiin/WalDrive★ 0100% same
Edited · 0
None found.
Wrote their own version · 1
- software-mansion-labs/skills★ 302same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository63 other files it gives its agents.
- vercel-react-best-practices/AGENTS.mdAGENTS.md
- adversarial-reviewSkill
- analytics-trackingSkill
- animejsSkill
- apple-designSkill
- app-store-screenshotsSkill
- beam-glow-statesSkill
- beautiful-shadowsSkill
- competitor-alternativesSkill
- conductor-rewrite-performanceSkill
- container-linesSkill
- content-strategySkill
- contribute-catalogSkill
- copy-editingSkill
- copywritingSkill
- corner-diagonalsSkill
- css-animationsSkill
- css-border-gradientSkill
- documentary-brutalist-agencySkill
- editorial-portfolio-chaptersSkill
- emil-design-engSkill
- framed-grid-layoutSkill
- frontend-designSkill
- glass-dark-uiSkill
- gsapSkill
- hyperframes-cliSkill
- hyperframes-mediaSkill
- hyperframes-registrySkill
- hyperframesSkill
- impeccableSkill
- landing-pageSkill
- linear-local-first-architectureSkill
- liquid-metal-borderSkill
- lottieSkill
- make-interfaces-feel-betterSkill
- mesh-gradient-dark-blue-cleanSkill
- minimal-zine-posterSkill
- ogilvy-copywritingSkill
- operational-enterprise-aiSkill
- page-croSkill
- pricing-pageSkill
- product-proof-saasSkill
- programmatic-seoSkill
- progressive-blurSkill
- remotion-to-hyperframesSkill
- reveal-hover-effectSkill
- schema-markupSkill
- seo-auditSkill
- service-booking-flowSkill
- shaders-cursor-ripplesSkill
- skeuomorphic-uiSkill
- staggered-word-revealSkill
- stop-slopSkill
- tailwindSkill
- tailwind-v4Skill
- thinking-orbsSkill
- threeSkill
- vercel-react-best-practicesSkill
- visual-style-presetsSkill
- waapiSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 167
Use this to define inside/ring/outside zones for glass effects.
- Very specific: line 174
After GPU submit, call await device.queue.onSubmittedWorkDone() for render-mode frame capture.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
TypeGPU / WebGPU for HyperFrames
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.
Contract
- Initialize WebGPU asynchronously (
await navigator.gpu.requestAdapter()), but register all GSAP tweens synchronously — before anyawait. The HyperFrames player reads the timeline immediately at page load. - Render from HyperFrames time, not
performance.now(). - Listen for the
hf-seekevent and re-render at exactly that time. - Guard against environments where WebGPU is unavailable — the adapter does not check for you.
- For video renders, call
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.
Basic Pattern
<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>Timeline Registration
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);
})();Video-Backed Effects (Liquid Glass, Distortion)
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.
Frosted Blur via Downsample Pass
A single-pass Gaussian kernel is too weak for glass-like frosted blur. Use a two-pass approach:
- Pass 1 — Downsample: render the full-res texture to a small texture (1/6 resolution). Bilinear filtering during the downsample naturally averages pixels.
- Pass 2 — Glass composite: sample the small texture for the frosted interior (bilinear upscale = heavy smooth blur) and the full-res texture for sharp areas and chromatic refraction.
This matches TypeGPU's textureSampleBias mip-level approach without generating mipmaps.
Transparent vs Opaque Canvas
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.
WGSL Full-Screen Triangle
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.
Rounded-Rect SDF (Liquid Glass Pill)
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.
Deterministic Rendering
- No
Math.random()— use a seeded PRNG. - No
requestAnimationFramefor the render loop — render only in response tohf-seek. - No
performance.now()for animation time — readwindow.__hfTypegpuTimeore.detail.time. - After GPU submit, call
await device.queue.onSubmittedWorkDone()for render-mode frame capture.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

