webgpu-core-architecture

What problem does it solve?

This Skill prevents common WebGPU startup failures by guiding safe initialization through navigator.gpu, adapter selection, device creation, and queue access. It helps you avoid null adapters, insecure-context crashes, stale devices, and other lifecycle bugs that break real apps.

Core Features & Use Cases

• Secure Initialization: Checks for WebGPU availability before any API call and handles the secure-context requirement correctly.
• Adapter and Device Flow: Explains how to request an adapter, create a device, read adapter info, and access the default queue safely.
• Reliability and Recovery: Covers device loss handling, feature negotiation, limits validation, and correct recovery patterns for production apps.
• Use Case: Build a browser or worker-based WebGPU app that starts safely, configures a canvas, recovers from GPU loss, and avoids validation errors during rendering or compute setup.

Quick Start

Ask for a safe WebGPU initialization plan that checks navigator.gpu, requests an adapter, creates a device, registers device.lost, and configures the queue and canvas correctly.