End-to-end GPU kernel implementation and optimization router. Use this skill to turn PyTorch logic into a high-performance kernel or to systematically optimize an existing kernel. It initializes the local knowledge base, identifies the current phase, and routes work to baseline implementation, bottleneck analysis, and profile-driven optimization sub-skills.
How to install atrex-kernel-agent?
alibaba/atrex-kernel-agent
$npx -y skills add alibaba/atrex-kernel-agent --skill atrex-kernel-agentInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/alibaba/atrex-kernel-agent" --skill "alibaba/atrex-kernel-agent"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/alibaba/atrex-kernel-agent" that are relevant to the current task. Run `npx skills add "https://github.com/alibaba/atrex-kernel-agent"` and select the relevant skills, then follow their instructions.
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