Webgpu
WebGPU enables developers to accelerate graphics and compute workloads on modern browsers using GPU hardware, boosting performance for demanding applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add webgpu npx -- -y @trustedskills/webgpu
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"webgpu": {
"command": "npx",
"args": [
"-y",
"@trustedskills/webgpu"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The webgpu skill enables AI agents to interact with WebGPU, a modern graphics and compute API designed for the web. It allows developers to leverage GPU acceleration for tasks like rendering 3D graphics, performing complex computations, or processing large datasets efficiently in web environments.
When to use it
- When building high-performance web applications that require GPU-accelerated rendering or computation.
- For developing real-time visualizations or simulations that benefit from parallel processing capabilities.
- When optimizing data-intensive tasks such as image processing or machine learning inference on the client side.
Key capabilities
- Access to low-level GPU APIs via WebGPU.
- Support for shader programming and compute shaders.
- Integration with web technologies like WebGL, allowing migration or enhancement of existing graphics workflows.
Example prompts
- "Set up a WebGPU context in my browser-based 3D game."
- "Render a complex scene using WebGPU shaders."
- "Optimize this image processing algorithm using WebGPU compute shaders."
Tips & gotchas
- Ensure your environment supports WebGPU, as it is not available on all browsers or devices.
- Familiarity with shader programming and GPU architecture can greatly improve results when working with this skill.
Tags
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