How to install webgpu
npx skills add https://github.com/cazala/webgpu-skill --skill webgpuFull instructions (SKILL.md)
Source of truth, from cazala/webgpu-skill.
name: webgpu description: WebGPU/WGSL guidance for initialization, render/compute pipelines, shader authoring, debugging, and performance; use when building or troubleshooting WebGPU apps, GPU compute workloads, or WGSL shaders.
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.
Related skills
More from cazala/webgpu-skill and the wider catalog.
find-skills
Discover and install agent skills to extend your coding agent's capabilities on demand
frontend-design
Build visually distinctive UI with opinionated aesthetic direction, typography, and layout choices that avoid templated defaults.
vercel-react-best-practices
70 React/Next.js performance rules from Vercel Engineering, prioritized by impact for writing, reviewing, and refactoring code.
agent-browser
Fast browser automation CLI for AI agents — navigate, click, scrape, screenshot, and test via Chrome CDP
web-design-guidelines
Review UI code against Web Interface Guidelines for accessibility, UX, and design best practices
finetuning
Fine-tune models on Azure AI Foundry with SFT, DPO, or RFT training methods.