# Tilegym Cutile Autotuning

> Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: exhaustivesearch / replacehints / hintsfn / 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, numctas), and 7 common pitfalls with solutions.

## Facts
- Page: https://tashan.sh/capability/skill-nvidia-tilegym-cutile-autotuning
- tashan id: skill:NVIDIA/tilegym-cutile-autotuning
- Source: https://github.com/NVIDIA/skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 96.0
- Freshness: 92.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
cp -r tilegym-cutile-autotuning ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-20 by tashan (https://tashan.sh) from public evidence. Scorer s5.