Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). Use when the user requests: (1) Writing custom GPU kernels for AI workloads (GEMM, Attention, MLA, etc.), (2) Optimizing existing TileLang code for NVIDIA, AMD, or Ascend hardware, (3) Implementing non-standard operators (like DeepSeek MLA, FlashAttention variants), (4) Debugging TileLang compilation or runtime errors, or (5) Cross-platform kernel development targeting multiple GPU vendors.
How to install tilelang-developer?
yzlnew/infra-skills/tilelang-developer
$npx -y skills add yzlnew/infra-skills --skill tilelang-developerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/yzlnew/infra-skills" --skill "yzlnew/infra-skills/tilelang-developer"` 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/yzlnew/infra-skills" that are relevant to the current task. Run `npx skills add "https://github.com/yzlnew/infra-skills"` and select the relevant skills, then follow their instructions.
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