Data & research · SKILL.md

cuda

cuda

AI-powered CUDA development with 4 specialist agents (General, Optimizer, Debugger, Analyzer) plus an MCP toolset. Use when writing CUDA kernels (.cu/.cuh), optimising GPU code (coalescing, shared memory, occupancy), debugging nvcc compilation or race conditions, or profiling GPU performance with nsys/ncu. NOT for high-level PyTorch training without custom …

Independent GitHub snapshot · Automated classification · Original documentation governs

Ddreamlab-ai / agentboxSource-available

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Install skill

TERMINAL

npx skills add dreamlab-ai/agentbox --skill cuda

Run the command in your terminal. Review the code and license before installing.

Check the original repository for this skill’s terms and download options.

Source code

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Source code

cuda

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