Agent skill · NVIDIA
tilegym-converting-cutile-to-julia
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
What it needs
About 3k tokens when loaded.
What this skill does
cuTile Python → cuTile.jl (Julia) Conversion Convert @ct.kernel Python kernels to Julia function ... end cuTile.jl kernels. Workflow Selection Standard conversion → Full workflow: translations/workflow.md Errors (MethodError, IRError, numerical mismatch) → references/debugging.md Quick reference → references/api-mapping.md + references/critical-rules.md Test patterns → references/testing.md Architecture Julia kernels are standalone — no Python bridge, no pytest integration. The Julia sub-project lives in julia/ at the repo root with its own Project.toml for dependency management. Ground-truth reference: Always consult julia/kernels/.jl and julia/test/.jl for patterns that compile and pass tests. These are the canonical examples of working cuTile.jl code. Instructions 1. Analyze the Python kernel: identify patterns, shapes, dtypes, operations 2. Write Julia kernel — julia/kernels/<op>.jl with cuTile.jl kernel + bridge function(s) 3. Convert kernel signature (see translations/workflow.md Phase 2) 4. Convert kernel body (apply references/api-mapping.md + references/critical-rules.md) 5. Write Julia test — julia/test/test<op>.jl using Test stdlib + NNlib.jl for reference 6. Register test — add include(...) in julia/test/runtests.jl 7. Validate — run the bundled validator: python <skill-dir>/scripts/validatecutilejl.py <file.jl> 8. Test — run julia --project=julia/ julia/test/runtests.jl Full conversion checklist with post-conversion verification → translations/workflow.md ⚠️ Top Pitfalls The most dangerous translation errors. Full rules (17 total) in references/critical-rules.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/tilegym-converting-cutile-to-julia