webgpu▌
cazala/webgpu-skill · updated Apr 8, 2026
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
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:
- Confirm the target platform and WebGPU support expectations.
- Propose a resource layout (buffers, textures, bind groups) with a simple data model.
- Sketch the pipeline graph (compute vs render passes) and dependencies.
- Provide minimal working code and scale up with performance constraints.
- 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
- Use REFERENCE.md for a compact WebGPU cheat sheet.
- Use references/ for deeper patterns and concepts.
- Use examples/ for runnable snippets.
- Use templates/ for project scaffolds or starter code.
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.
Ratings
4.7★★★★★68 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.
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