NVIDIA GPUs can make your Python code run much faster. This skill helps you speed up tasks like math, data analysis, image processing, and simulations. You can get 10x to 1000x faster results by using tools like CuPy, Numba CUDA, and Warp.
It works with common libraries like NumPy, pandas, scikit-learn, and NetworkX. If your code is slow on big datasets or complex calculations, this skill can help. It also covers advanced topics like physics simulation, mesh operations, and vector search.
You do not need to be an expert. Just tell the agent what you want to speed up, and it will recommend the best GPU library and write the code for you.
Global
mkdir -p ~/.claude/skills/optimize-for-gpuProject
mkdir -p .claude/skills/optimize-for-gpuSource Repository
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