Overview
What It Does
Tilegym Cutile Autotuning packages a focused media & files workflow for an AI agent. Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or correctness/performance issues in autotuned CuTile kernels. Covers: tune-once/cache/launch pattern, per-architecture configs (sm80–sm120), parameter space design (tile sizes, occupancy, num_ctas), and 7 common pitfalls with solutions. 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
- Create or edit a common file format
- Extract information from uploaded files
- Convert content into a polished deliverable
- Automate repetitive media operations
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/NVIDIA/skills --skill tilegym-cutile-autotuningCommands 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 Cutile Autotuning is a verified Agent Skill from NVIDIA with a public SKILL.md, compatible with Claude Code, Codex.
Alternatives
