Tilegym Monkey Patch Kernels To Transformers — Agent Skill by NVIDIA

From the author

Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating models. Used when the user requires integrating TileGym kernels into `transformers` models.

— 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-monkey-patch-kernels-to-transformers

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 GitHub3.6 KiB
SKILL.md(opens on GitHub)Not mirrored: opens on GitHub2.9 KiB
evals/evals.json(opens on GitHub)Not mirrored: opens on GitHub5.0 KiB
references/auto-kernelize.md(opens on GitHub)Not mirrored: opens on GitHub7.7 KiB
references/environment-setup.md(opens on GitHub)Not mirrored: opens on GitHub1.6 KiB
references/kernel-integration.md(opens on GitHub)Not mirrored: opens on GitHub14.4 KiB
references/kernel-inventory-schema.md(opens on GitHub)Not mirrored: opens on GitHub3.8 KiB
references/workflow-diagram.png(opens on GitHub)Not mirrored: opens on GitHub1.1 MiB
skill-card.md(opens on GitHub)Not mirrored: opens on GitHub4.5 KiB
skill.oms.sig(opens on GitHub)Not mirrored: opens on GitHub5.7 KiB

Requirements and compatibility

Written for: Claude Code, OpenAI Codex, Cursor

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.

The author says: Verified on Claude Code with Opus-4.6 and onward, CodeX with GPT-5.5 and onward, and Cursor (Agent mode) with GPT-5.3-CodeX and stronger models.

Security

What our scanner noticed· Medium risk

Large base64-encoded blobs

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