This skill helps you iteratively optimize CUDA kernels by profiling with nsys and ncu, classifying bottlenecks, and validating improvements.
npx playbooks add skill trevors/dot-claude --skill cuda-kernel-refine
The Cuda Kernel Refine skill is a testing tool that helps developers iteratively optimize CUDA kernels by utilizing profiling tools such as nsys and ncu to identify bottlenecks and validate improvements. This skill connects to CUDA kernels and enables optimization through profiling and bottleneck classification. A developer would reach for this skill when they need to improve the performance of their CUDA kernels and require a systematic approach to identifying and addressing bottlenecks.
At 19 words, this compact prompt gives your agent specialized testing & qa expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill helps you iteratively optimize CUDA kernels by profiling with nsys and ncu, classifying bottlenecks, and validating improvements.
Cuda Kernel Refine is a free testing & qa skill for AI coding agents. This skill helps you iteratively optimize CUDA kernels by profiling with nsys and ncu, classifying bottlenecks, and validating improvements.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill trevors/dot-claude --skill cuda-kernel-refine in your terminal to install Cuda Kernel Refine into your Claude Code session. It works immediately after installation.
Cuda Kernel Refine is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Cuda Kernel Refine is completely free and open source. The full source is available on GitHub at https://github.com/trevors/dot-claude/tree/main/skills/cuda-kernel-refine. You only need a subscription to the AI agent you use it with.
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