Official, NVIDIA-verified skills for AI agents.

📖 Docs: docs.nvidia.com/skills  ·  📺 Livestream: From Vulnerable to Verified  ·  📝 Blog: NVIDIA Verified Agent Skills: Capability Governance for AI Agents

Skills are portable instruction sets that teach AI agents how to use NVIDIA CUDA-X libraries, AI Blueprints, and platform tools correctly. This repository is a catalog: skills are maintained in their respective product repos and mirrored here daily via an automated sync pipeline. We are making NVIDIA skills available publicly and building this catalog in the open; see the Roadmap for what is planned next.

Install NVIDIA skills with the default skills CLI flow:

npx skills add nvidia/skills

The CLI runs through npx and prompts you to choose a skill and install destination. You do not need to clone this repo or copy skill folders by hand.

The skill is available the next time your agent loads skills and 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.

Use this when you already know the skill name and want to skip prompts.

npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --yes

Replace cuopt-numerical-optimization-api-python with any skill name from the Skill Catalog.

Use --agent to target a specific AI coding agent. These are common client targets; for the full list of supported clients, see the skills CLI Supported Agents table.

Claude Code

npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent claude-code

Codex

npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent codex

Cursor

npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent cursor

Kiro

npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent kiro-cli

Use --agent more than once to install the same skill into multiple agents.

npx skills add nvidia/skills \
  --skill cuopt-numerical-optimization-api-python \
  --agent claude-code \
  --agent codex \
  --agent cursor \
  --agent kiro-cli

Use this when you want to see available NVIDIA skills before installing anything.

npx skills add nvidia/skills --list

For non-interactive installs, global installs, agent-specific installs, updates, removals, and fallback manual copying, see Advanced installation.

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

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

Every published skill ships with a detached OMS signature (skill.oms.sig). The sync pipeline drops any skill missing the required artifacts before publishing, so every skill in the catalog carries:

• SKILL.md — the skill instructions consumed by the agent
• skill-card.md — skill identity and governance card
• skill.oms.sig — detached OMS signature (verifiable against nv-agent-root-cert.pem)
• A Tier-3 evaluation dataset — accepted at evals/evals.json, evals/*.json, eval/*.json, or benchmark/evals.json
• BENCHMARK.md — generated benchmark report capturing verifiable uplift data

Verify a skill against the NVIDIA trust anchor nv-agent-root-cert.pem:

pip install model-signing
model_signing verify certificate SKILL_DIR \
  --signature SKILL_DIR/skill.oms.sig \
  --certificate_chain nv-agent-root-cert.pem \
  --ignore_unsigned_files

A successful verification confirms that the skill contents have not been modified since signing by NVIDIA.

See Verify Signed Agent Skills for signature layout, the trust pipeline, and policy options.

• ✅ Public skills catalog with NVIDIA-verified skills across multiple products
• ✅ Automated sync pipeline with skills mirrored from product repos daily
• ✅ Security scanning for all published skills covering instruction safety and supply-chain integrity
• ✅ Skills signing so every published skill carries a verifiable NVIDIA signature
• ✅ Skills universal evaluation criteria and task-specific criteria
• ✅ Skill Card with machine-readable metadata for identity, provenance, quality, and behavioral boundaries
• 🔲 Compliance gates before external publication
• 🔲 Syndication to external marketplaces and MCP hubs

NVIDIA/skills/
├── skills/                      # 110 verified skills across 24 products,
│   │                              synced from upstream product repos
│   ├── README.md                 # Browser-facing install guidance
│   ├── <product-prefix>-*/       # Flat layout — one dir per skill, product-prefixed
│   │                               # e.g. aiq-*, cuopt-*, cupynumeric-*, dali-*,
│   │                               # deepstream-*, digital-health-*, dynamo-*,
│   │                               # earth2studio-*, mcore-*, nemo-automodel-*,
│   │                               # nemo-data-designer-plugin, nemo-evaluator-plugin,
│   │                               # nemo-mbridge-* (20 skills), nemo-retriever,
│   │                               # nemoclaw-user-* (10 skills), nemotron-*,
│   │                               # physicsnemo-*, rag-*, skill-card-generator,
│   │                               # tilegym-*, accelerated-computing-cudf, cudaq-guide
│   ├── omniverse-*/              # Physical AI — manually staged (see manual-components.yml)
│   ├── physical-ai-*/            # Physical AI — manually staged
│   ├── NeMo-RL/                  # Legacy nested layout (5 skills under one dir)
│   └── video-search-and-summarization/  # Legacy nested layout (15 skills under one dir)
├── components.d/                # Product registry — one file per component, teams onboard here
│   ├── README.md                 # Schema and onboarding instructions
│   └── <product>.yml             # one file per registered product (24 today)
├── plugins/                     # Packaged plugin distributions
│   └── nvidia-skills/            # Curated NVIDIA skills bundle (Claude Code, Codex)
├── plugins.d/                   # Plugin build registry — config for `build-plugins.py`
│   ├── README.md
│   ├── _defaults.yml
│   └── nvidia-skills.yml
├── .claude-plugin/              # Claude Code marketplace metadata
│   └── marketplace.json
├── .agents/plugins/             # Agent marketplace metadata (other clients)
│   └── marketplace.json
├── docs/                        # Long-form documentation (published via Fern)
│   ├── README.md                 # How to build the docs locally
│   ├── index.mdx
│   ├── advanced-install.mdx
│   ├── agent-skill-trust-pipeline.mdx
│   ├── release-checklist.mdx
│   ├── scanning-agent-skills.mdx
│   ├── signing-agent-skills.mdx
│   └── skill-cards.mdx
├── fern/                        # Fern docs site configuration
├── .github/
│   ├── workflows/                # Sync pipeline, plugin validation, DCO check, author verify
│   └── scripts/                  # regenerate-readme.sh, build-plugins.py,
│                                 # manual-components.yml (temp Physical AI catalog
│                                 # exception, removed after Computex 2026),
│                                 # marketplace/metadata.json (skill metadata sidecar)
├── nv-agent-root-cert.pem       # Trust anchor for OMS signature verification
├── skills.sh.json               # Skills.sh marketplace grouping config
├── CHANGELOG.md
├── CONTRIBUTING.md              # Contribution guidelines
├── SECURITY.md                  # Security reporting policy
├── CODE_OF_CONDUCT.md           # Community code of conduct
└── LICENSE                      # Apache 2.0 / CC BY 4.0

Skills are maintained in their respective product repos (see the Source column in the Skill Catalog) and synced to this repo daily. Products only appear under skills/ after the sync pipeline confirms each skill carries:

• skill.oms.sig — detached OMS-format signature (verifiable against nv-agent-root-cert.pem)
• skill-card.md — skill identity and governance card
• A Tier-3 evaluation dataset — accepted at evals/evals.json, evals/*.json, eval/*.json, or benchmark/evals.json

When evaluation runs produce a BENCHMARK.md, it ships alongside the skill so consumers can see verifiable benchmark uplift data.

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.

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