webgpu

cazala/webgpu-skill · updated Apr 8, 2026

$npx skills add https://github.com/cazala/webgpu-skill --skill webgpu
0 commentsdiscussion
summary

Design, implement, and debug WebGPU applications, GPU compute pipelines, and WGSL shaders.

  • Covers WebGPU initialization, device setup, compute and render pipelines, shader authoring, and GPU/CPU synchronization strategies
  • Includes architecture patterns for modular passes, phase-based simulation, spatial indexing, and capability fallback handling
  • Provides guidance on performance optimization, safe readback strategies, and debugging practices for rendering, compute, ML workloads, and p
skill.md

WebGPU Skill

Use this skill to design, implement, and debug WebGPU applications and GPU compute pipelines. Keep it framework-agnostic and focus on reusable WebGPU/WGSL patterns.

What this skill covers

  • Cover WebGPU initialization, device setup, and surface configuration.
  • Cover compute pipelines, workgroup sizing, and storage buffer layout.
  • Cover render pipelines, render passes, and post-processing patterns.
  • Cover GPU/CPU synchronization and safe readback strategies.
  • Cover performance and debugging practices.
  • Cover architecture patterns: modular passes, phase-based simulation, and capability handling.
  • Cover use cases: rendering, compute, ML training/inference, grid simulations, and systems modeling.

Core principles

  • Choose a capability strategy: fallback runtime, reduced mode, or fail fast.
  • Avoid full GPU readbacks in hot paths; use localized queries or small readback buffers.
  • Structure simulation with phases (state, apply, integrate, constrain, correct) to keep WGSL cohesive.
  • Use spatial grids or other spatial indexing for neighbor queries and high particle counts.
  • Build modular passes so render and compute stages stay composable and testable.

Workflow

When asked to build a WebGPU feature:

  1. Confirm the target platform and WebGPU support expectations.
  2. Propose a resource layout (buffers, textures, bind groups) with a simple data model.
  3. Sketch the pipeline graph (compute vs render passes) and dependencies.
  4. Provide minimal working code and scale up with performance constraints.
  5. Choose a capability strategy when WebGPU is unavailable.

Deliverable checklist

  • Provide clean WebGPU init and error handling.
  • Include a buffer layout with alignment notes (16-byte struct alignment for WGSL).
  • Include a pass graph with clear read/write ownership (ping-pong textures if needed).
  • Call out readback and when it is safe.
  • Provide an optional fallback or reduced mode for critical functionality.

References and assets

Quick reference

See REFERENCE.md for a compact WebGPU cheat sheet and references/ for deeper patterns, including references/use-cases.md and references/simulation-patterns.md.

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.768 reviews
  • Olivia Srinivasan· Dec 28, 2024

    webgpu fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Evelyn White· Dec 28, 2024

    I recommend webgpu for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chinedu Okafor· Dec 24, 2024

    webgpu is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Flores· Dec 20, 2024

    webgpu reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Liam Rahman· Dec 20, 2024

    We added webgpu from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kofi Srinivasan· Dec 16, 2024

    Registry listing for webgpu matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Dec 12, 2024

    Keeps context tight: webgpu is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aisha Haddad· Dec 12, 2024

    Useful defaults in webgpu — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ira Torres· Nov 19, 2024

    Solid pick for teams standardizing on skills: webgpu is focused, and the summary matches what you get after install.

  • Chinedu Desai· Nov 15, 2024

    webgpu reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 68

1 / 7