GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling…
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill optimize-for-gpunpx skills add K-Dense-AI/scientific-agent-skills --skill optimize-for-gpu -a claude-code -gnpx skills add K-Dense-AI/scientific-agent-skills --skill optimize-for-gpu -a codex -ggemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/optimize-for-gpugh skill install K-Dense-AI/scientific-agent-skills optimize-for-gpugit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/K-Dense-AI__scientific-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/optimize-for-gpu ~/.claude/skills/optimize-for-gpu # Claude Code
cp -R /tmp/K-Dense-AI__scientific-agent-skills/skills/optimize-for-gpu ~/.agents/skills/optimize-for-gpu # Codex, Cursor, Gemini CLI, Copilot, OpenCode