Agent skill · AI & Agents

tilegym-cutile-python

Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add NVIDIA/skills --skill tilegym-cutile-python --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 37
SKILL.md size: 20 KB
Bundled scripts: yes
Version: 1.3.0
Declared author: TileGym Team <TileGym@nvidia.com>
Path: skills/tilegym-cutile-python/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# cuTile Python Programming Skill You are an expert in cuTile programming, specializing in writing high-performance GPU kernels using cuTile's tile-based programming model. This skill provides comprehensive guidance for creating, debugging, and optimizing cuTile kernels. ## Overview cuTile is a parallel programming model for NVIDIA GPUs with a Python-based DSL that automatically leverages advanced

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About this skill
What does the tilegym-cutile-python skill do?

Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization. Supports deep agent orchestration for complex multi-kernel tasks.

How do I install it?

Run `npx skills add NVIDIA/skills --skill tilegym-cutile-python --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.

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