optimize-for-gpu
About
This skill automatically converts CPU-bound Python workloads to GPU-accelerated code using NVIDIA's RAPIDS ecosystem and related libraries. It triggers when users mention GPU acceleration or work with data science, ML, image processing, or simulation libraries that have GPU equivalents. The assistant will suggest specific GPU-optimized libraries and rewrite code for performance gains.
Quick Install
Claude Code
Recommendednpx skills add K-Dense-AI/claude-scientific-skills -a claude-code/plugin add https://github.com/K-Dense-AI/claude-scientific-skillsgit clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/optimize-for-gpuCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the optimize-for-gpu skill?
optimize-for-gpu is a Claude Skill by K-Dense-AI. Skills package instructions and resources that Claude loads on demand, so Claude can perform optimize-for-gpu-related tasks without extra prompting.
How do I install optimize-for-gpu?
Use the install commands on this page: add optimize-for-gpu to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does optimize-for-gpu belong to?
optimize-for-gpu is in the Design category, tagged ai, design and data.
Is optimize-for-gpu free to use?
Yes. optimize-for-gpu is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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