This is a phase-gated conversion pipeline for translating NVIDIA cuTile GPU kernels to Triton. It walks you through analyze, convert, validate, test, and benchmark with explicit stop gates at each step. The workflow enforces TMA descriptors for 2D tile operations instead of raw pointer arithmetic, handles dual-layout kernels that need separate @triton.jit definitions for transpose flags, and includes a mandatory optimization checklist for attention and FMHA ops before you call the conversion done. The pre-flight grep commands catch layout flags and TMA-eligible loads before you write any Triton code. If you are porting cuTile code to Triton or debugging a translated kernel that regressed 10x on performance, this gives you the structured process and API mapping tables to do it correctly.
npx -y skills add nvidia/skills --skill tilegym-converting-cutile-to-triton --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills