TypeGPU / WebGPU for HyperFrames

SkillDev tools

Your AI can write HTML and render it into finished video. Typegpu is a skill built for agents that covers both steps: it writes HTML and turns that HTML into video output. Once added, making a video becomes a matter of asking your AI to write the HTML for it.

Available today. Use it from your connected AI after setup.

After adding the skill, ask your AI to write some HTML and render it into a video. Start with a simple page to see the full write-and-render flow.

Then ask your AI: use the TypeGPU / WebGPU for HyperFrames skill

What your AI can do with it

  • Write HTML
  • Render HTML into video
  • Turn written HTML into finished video output
  • Create video content by writing HTML

What this skill tells your AI

The instructions your AI receives, as published by alecs5am/ralphy in .agents/skills/typegpu/SKILL.md and read by ahel’s review.

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 any await. The HyperFrames player reads the timeline immediately at page load.
  • Render from HyperFrames time, not performance.now().
  • Listen for the hf-seek event 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:

  1. Pass 1 — Downsample: render the full-res texture to a small texture (1/6 resolution). Bilinear filtering during the downsample naturally averages pixels.
  2. 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 requestAnimationFrame for the render loop — render only in response to hf-seek.
  • No performance.now() for animation time — read window.__hfTypegpuTime or e.detail.time.
  • After GPU submit, call await device.queue.onSubmittedWorkDone() for render-mode frame capture.

Signals

GitHub stars
134
Forks
13
Last commit
Sep 2026
Hacker News mentions
2
Advanced
Catalog kind
skill
Gateway key
typegpu
Source
github.com/alecs5am/ralphy