Tilegym Adding Cutile Kernel — Agent Skill by NVIDIA

From the author

Add a new cuTile GPU kernel operator to TileGym. Covers dispatch registration in ops.py, cuTile backend implementation, __init__.py exports, test creation, and benchmark in tests/benchmark. Use when adding, creating, or implementing a new cuTile operator/kernel in TileGym, or when asking how to register a new cuTile op.

— the description by TileGym Team

Install

Get the skill from its source (we cannot redistribute it):
https://github.com/NVIDIA/skills/tree/fce3cca4170be75e82c64920654d56ee2811b005/skills/tilegym-adding-cutile-kernel

Documentation by TileGym Team

The licence of this skill does not allow us to copy its documentation. Read it at the source

Files

BENCHMARK.md(opens on GitHub)Not mirrored: opens on GitHub4.2 KiB
SKILL.md(opens on GitHub)Not mirrored: opens on GitHub8.0 KiB
evals/evals.json(opens on GitHub)Not mirrored: opens on GitHub5.4 KiB
skill-card.md(opens on GitHub)Not mirrored: opens on GitHub3.6 KiB
skill.oms.sig(opens on GitHub)Not mirrored: opens on GitHub4.5 KiB

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Names Claude Code tools, Needs Python

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