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worker-visualizer

A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". Open Design serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.

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SKILL.md
Quality
Evals
Security

Worker Visualizer Skill

Produce a single self-contained index.html that moves heavy per-frame compute into a Web Worker and renders the result to a canvas, keeping the main thread at a smooth 60fps.

Why this is a powered artifact

Open Design detects new Worker( / SharedArrayBuffer / OffscreenCanvas and renders this file in powered preview — a cross-origin-isolated iframe with allow-same-origin. That means external and blob Web Workers construct successfully, SharedArrayBuffer is defined (crossOriginIsolated === true), and importScripts works. In the old opaque sandbox all three failed; here they just work.

Resource map

worker-visualizer/
├── SKILL.md      ← you're reading this
└── example.html  ← a working 12k-particle SharedArrayBuffer sim (READ FIRST)

Workflow

Step 0 — Read the reference

Read example.html. Note the split: the worker integrates positions each tick; the main thread only reads + draws. It feature-detects crossOriginIsolated and uses a SharedArrayBuffer for zero-copy when available, falling back to a transferable postMessage copy otherwise. Always ship that fallback so the artifact still animates if isolation is off.

Step 1 — Choose the workload

Pick ONE compute-bound job worth offloading:

  • Particle / N-body field (default): thousands of bodies with a cheap force law.
  • Fractal: Mandelbrot/Julia escape-time into an ImageData buffer.
  • Cellular automata / reaction-diffusion: grid updated in the worker.
  • Data/audio visualizer: transform a stream into bars/rings each frame.

Step 2 — Build index.html

  • One file, zero external requests. Build the worker from a Blob + URL.createObjectURL (inline its source), or embed it as a data: URL.
  • Prefer SharedArrayBuffer for large per-frame state: allocate on the main thread, pass the SharedArrayBuffer to the worker, and read the same Float32Array/Uint8ClampedArray view while drawing. Guard on typeof SharedArrayBuffer !== 'undefined' && crossOriginIsolated.
  • Fallback path: if not isolated, postMessage a transferable ArrayBuffer each frame.
  • Consider OffscreenCanvas + canvas.transferControlToOffscreen() to render inside the worker for the heaviest scenes.

Step 3 — Overlay + brand

  • HUD with the title and 2–3 live stat tiles (particle count, transport mode, fps). Map accent color to the active DESIGN.md when present; otherwise a dark ground with one vivid accent.

Step 4 — Self-review (P0)

  • Worker constructs with no SecurityError; sim runs.
  • Main-thread render holds ~60fps under the full workload.
  • SharedArrayBuffer path engages when crossOriginIsolated is true; postMessage fallback engages otherwise — verify BOTH branches degrade cleanly.
  • No unbounded growth: velocities/positions stay stable over minutes.
  • The "Transport" stat truthfully reports which path is live.
Repository
nexu-io/open-design
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