Overview
What It Does
Tilegym Improve Cutile Kernel Perf packages a focused coding & development workflow for an AI agent. Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning. Covers tile sizes, occupancy, autotune configs, TMA, latency hints, persistent scheduling, num_ctas, flush_to_zero, and IR-level debugging. Use when asked to "optimize cutile kernel", "improve kernel perf", "tune cutile performance", "make kernel faster", or iteratively benchmark and refine a cuTile GPU kernel in the TileGym project. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Task ideas
Popular Use Cases
- Review and improve a code change
- Automate a repeatable development task
- Investigate failures and prepare a fix
- Work with repositories and developer tooling
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/NVIDIA/skills --skill tilegym-improve-cutile-kernel-perfCommands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Tilegym Improve Cutile Kernel Perf is a verified Agent Skill from NVIDIA with a public SKILL.md, compatible with Claude Code, Codex.
Alternatives
