NVIDIA Agent Skills

Official, NVIDIA-verified skills for AI coding agents.

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Skills are portable instruction sets that teach AI agents how to perform specialized tasks — from solving vehicle routing problems with GPU-accelerated cuOpt, to onboarding HuggingFace models into TensorRT-LLM AutoDeploy, to deploying real-time voice agents on Jetson and cloud NIMs, to launching LLM evaluations with NeMo Evaluator. Every skill listed here is published and verified by NVIDIA.

This repository is a catalog — skills are maintained in their respective product repos and linked here. It follows the open Agent Skills specification, making skills compatible with any AI agent or framework that supports the standard.

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Quickstart

Find a skill in the Available Skills table, clone it from the source repo, and copy it into your agent's skills directory:

# Example: install the cuOpt LP/MILP skill from the cuOpt repo
git clone --depth 1 --filter=blob:none --sparse https://github.com/NVIDIA/cuopt.git
cd cuopt && git sparse-checkout set skills/cuopt-lp-milp-api-python
cp -r skills/cuopt-lp-milp-api-python ~/.claude/skills/

That's it — the skill activates automatically the next time your agent encounters a relevant task. For example, ask your agent to "solve a linear programming problem with cuOpt" and the skill guides it through the cuOpt Python API.

Install by Agent

Agent / Framework	Installation
Claude Code	Copy the skill directory into ~/.claude/skills/
Codex	Copy the skill directory into your project's .codex/skills/ folder
Cursor	Copy the skill directory into your project's .cursor/skills/ folder
Other agents	Copy the skill directory into your agent's skills folder

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Available Skills

Product	Description	Skills	Skills Location
CUDA-Q	CUDA Quantum — onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.	1	NVIDIA/cuda-quantum/.claude/skills/
cuOpt	GPU-accelerated optimization — vehicle routing, linear programming, quadratic programming, installation, server deployment, and developer tools.	19	NVIDIA/cuopt/skills/
TensorRT-LLM	LLM inference optimization — model onboarding, performance analysis and optimization, kernel writing, CI diagnostics, code contribution, and codebase exploration.	20	NVIDIA/TensorRT-LLM/.claude/skills/
Model-Optimizer	Model optimization — quantization, sparsity, and distillation for efficient inference.	4	NVIDIA/Model-Optimizer/.claude/skills/
Megatron-Core	Large-scale distributed training — model parallelism, pipeline parallelism, and mixed precision.	3	NVIDIA/Megatron-LM/.claude/skills/
Megatron-Bridge	Bridge between NeMo and Megatron — data processing, model conversion, and training utilities.	9	NVIDIA-NeMo/Megatron-Bridge/skills/
Nemotron Voice Agent	Real-time conversational AI — deploy speech-to-speech voice agents on Workstation, Jetson Thor, or Cloud NIMs.	1	nemotron-voice-agent/.agents/skills/
NeMo Gym	RL training environments — add benchmarks, resources servers, agent wiring, and reward profiling.	1	NVIDIA-NeMo/Gym/.claude/skills/
NeMo Evaluator	LLM evaluation — launch evaluations, access MLflow results, NeMo Evaluator Launcher assistant, and bring-your-own benchmarks.	4	NVIDIA-NeMo/Evaluator/.claude/skills/ (+1)

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Getting Help & Contributing

For skill-related issues, feature requests, new skill ideas, discussions, and contributions — use the source repo for the relevant product:

Product	Issues	Discussions	Contributing	Security
CUDA-Q	Issues	Discussions	Contributing	Security
cuOpt	Issues	Discussions	Contributing	Security
TensorRT-LLM	Issues	Discussions	Contributing	Security
Model-Optimizer	Issues	—	Contributing	Security
Megatron-Core	Issues	Discussions	Contributing	—
Megatron-Bridge	Issues	Discussions	Contributing	—
Nemotron Voice Agent	Issues	Discussions	Contributing	Security
NeMo Gym	Issues	Discussions	Contributing	Security
NeMo Evaluator	Issues	Discussions	Contributing	Security

For issues with this catalog repo itself (README, structure, listing a new product): open an issue here.

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Repository Structure

nvidia-agent-skills/
├── CONTRIBUTING.md      # Contribution guidelines
├── SECURITY.md          # Security reporting policy
├── CODE_OF_CONDUCT.md   # Community code of conduct
└── LICENSE              # Apache 2.0

This repo is a catalog. Skills are maintained in their respective product repos (see Available Skills).

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Standards & Compatibility

This repository adheres to the Agent Skills specification:

• Skills are portable directories with a SKILL.md file at their root.
• Metadata uses YAML frontmatter with required name and description fields.
• Skills follow a progressive disclosure model — lightweight metadata loads at startup, full instructions load on activation.
• Validate your skill using the skills-ref reference library.

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License

This project is dual-licensed under the Apache License 2.0 and Creative Commons Attribution 4.0 International (CC BY 4.0).