tilegym-converting-cutile-to-julia
tilegym-converting-cutile-to-julia is an agent skill published by nvidia, listed under review & testing. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Converts cuTile Python GPU kernels to Julia equivalents using cuTile.jl. Handles syntax translation, index conversion, broadcasting differences, memory layout, and API differences.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
Maintenance
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.
tilegym-converting-cutile-to-julia compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tilegym-converting-cutile-to-julia (this page) | nvidia | Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax transla… | 3,735 | 2026-10-26 |
| deepstream-sop(same repository) | nvidia | Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP I… | 3,735 | 2026-10-26 |
| doca-aes-gcm(same repository) | nvidia | Use this skill when the user is doing hands-on DOCA AES-GCM work on a BlueField DPU or ConnectX NIC — configu… | 3,735 | 2026-10-26 |
| doca-argp(same repository) | nvidia | Use this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / rem… | 3,735 | 2026-10-26 |
| doca-bare-metal-deployment(same repository) | nvidia | Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueF… | 3,735 | 2026-10-26 |
| doca-bench-extension(same repository) | nvidia | Use this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in —… | 3,735 | 2026-10-26 |
| doca-caps(same repository) | nvidia | Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host —… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tilegym-converting-cutile-to-julia
- What does tilegym-converting-cutile-to-julia do?
- Converts cuTile Python GPU kernels to Julia equivalents using cuTile.jl. Handles syntax translation, index conversion, broadcasting differences, memory layout, and API differences.
- How do I install tilegym-converting-cutile-to-julia?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tilegym-converting-cutile-to-julia?
- nvidia.
- Is tilegym-converting-cutile-to-julia maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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