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.
npx skills add NVIDIA/skills --skill tilegym-converting-cutile-to-julia --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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`](translations/workflow.md) - **Errors** (`MethodError`, `IRError`, numerical mismatch) → [`references/debugging.md`](references/debugging.md) - **Quick reference** → [`reference
What does the tilegym-converting-cutile-to-julia skill do?
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.
How do I install it?
Run `npx skills add NVIDIA/skills --skill tilegym-converting-cutile-to-julia --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.