https://github.com/NVIDIA/skills
AI agent skills published by NVIDIA
https://github.com/NVIDIA/skills
Last synced: about 1 month ago
JSON representation
AI agent skills published by NVIDIA
- Host: GitHub
- URL: https://github.com/NVIDIA/skills
- Owner: NVIDIA
- License: other
- Created: 2026-02-25T21:54:05.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2026-06-03T18:25:07.000Z (about 1 month ago)
- Last Synced: 2026-06-03T19:21:49.325Z (about 1 month ago)
- Language: Python
- Homepage: https://docs.nvidia.com/skills
- Size: 7.06 MB
- Stars: 949
- Watchers: 7
- Forks: 109
- Open Issues: 17
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
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README
# NVIDIA Agent Skills
**Official, NVIDIA-verified skills for AI agents.**
[](https://nvidia.com)
[](https://agentskills.io)
[](LICENSE)
> ๐ **Docs:** [docs.nvidia.com/skills](https://docs.nvidia.com/skills) ย ยทย
> ๐บ **Livestream:** [From Vulnerable to Verified](https://www.youtube.com/watch?v=sVpKonYJ4D4&list=PL5B692fm6--vEL0FwctKghCpyEnBGAQJA&index=1) ย ยทย
> ๐ **Blog:** [NVIDIA Verified Agent Skills: Capability Governance for AI Agents](https://developer.nvidia.com/blog/nvidia-verified-agent-skills-provide-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](#roadmap) for what is planned next.
---
## Quickstart
Install NVIDIA skills with the default [`skills` CLI](https://github.com/vercel-labs/skills) flow:
```bash
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.
### Install One Skill Without Prompts
Use this when you already know the skill name and want to skip prompts.
```bash
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](#skill-catalog).
### Install for a Specific Agent
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](https://github.com/vercel-labs/skills#supported-agents).
**Claude Code**
```bash
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent claude-code
```
**Codex**
```bash
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent codex
```
**Cursor**
```bash
npx skills add nvidia/skills --skill cuopt-numerical-optimization-api-python --agent cursor
```
**Kiro**
```bash
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.
```bash
npx skills add nvidia/skills \
--skill cuopt-numerical-optimization-api-python \
--agent claude-code \
--agent codex \
--agent cursor \
--agent kiro-cli
```
### Browse the Catalog
Use this when you want to see available NVIDIA skills before installing anything.
```bash
npx skills add nvidia/skills --list
```
For non-interactive installs, global installs, agent-specific installs, updates, removals, and fallback manual copying, see [Advanced installation](docs/advanced-install.mdx).
---
## Skill Catalog
| Product | Description | Skills | Catalog | Source | Version |
|---------|-------------|:------:|---------|--------|---------|
| **AIQ** | NVIDIA AI-Q Blueprint - deploy local AI-Q services and run shallow or deep research workflows as agent skills. | 2 | [`skills/aiq-research/`](skills/aiq-research) | [Source](https://github.com/NVIDIA-AI-Blueprints/aiq/tree/develop/skills/aiq-research) | [`1323f65`](https://github.com/NVIDIA-AI-Blueprints/aiq/commit/1323f65804a9a0b14b341677bb25d431456a2a8b) ยท 2026-05-28 |
| **cuOpt** | GPU-accelerated optimization โ vehicle routing, linear programming, quadratic programming, installation, server deployment, and developer tools. | 12 | [`skills/cuopt-developer/`](skills/cuopt-developer) | [Source](https://github.com/NVIDIA/cuopt/tree/main/skills/cuopt-developer) | [`4f0e6db`](https://github.com/NVIDIA/cuopt/commit/4f0e6dbb7f76310b7f2d1d1ebd64cc551d7ab5af) ยท 2026-05-28 |
| **cuPyNumeric** | NumPy and SciPy on multi-node multi-GPU systems โ install and verify cuPyNumeric for Python. | 1 | [`skills/cupynumeric-install/`](skills/cupynumeric-install) | [Source](https://github.com/nv-legate/cupynumeric/tree/main/skills/cupynumeric-install) | [`89e0756`](https://github.com/nv-legate/cupynumeric/commit/89e0756e55d39e7850c93c42a6871781d5447613) ยท 2026-05-28 |
| **DALI** | GPU-accelerated data loading and processing with NVIDIA DALI. | 1 | [`skills/dali-dynamic-mode/`](skills/dali-dynamic-mode) | [Source](https://github.com/NVIDIA/DALI/tree/main/skills/dali-dynamic-mode) | [`0627a71`](https://github.com/NVIDIA/DALI/commit/0627a718d4f5e32e974cf32c1d646ac3403ecc83) ยท 2026-05-28 |
| **DeepStream** | Agentic skills for guided DeepStream development. | 2 | [`skills/deepstream-dev/`](skills/deepstream-dev) | [Source](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/tree/main/skills/deepstream-dev) | [`3daf16a`](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/commit/3daf16ae5168dd685608bb929fb4f5513f308045) ยท 2026-05-28 |
| **Dynamo** | NVIDIA Dynamo deployment bring-up on Kubernetes โ pick and deploy recipes, start router modes, validate disagg NIXL/UCX/NCCL interconnect, and triage day-2 failures. | 4 | [`skills/dynamo-interconnect-check/`](skills/dynamo-interconnect-check) | [Source](https://github.com/ai-dynamo/dynamo/tree/main/skills/dynamo-interconnect-check) | [`49c9c80`](https://github.com/ai-dynamo/dynamo/commit/49c9c806300bc0fb891e859ab629d50c53a74afe) ยท 2026-05-29 |
| **Megatron-Bridge** | Bridge between NeMo and Megatron โ data processing, model conversion, and training utilities. | 1 | [`skills/Megatron-Bridge/`](skills/Megatron-Bridge) | [Source](https://github.com/NVIDIA-NeMo/Megatron-Bridge/tree/main/skills) | [`a21b6b4`](https://github.com/NVIDIA-NeMo/Megatron-Bridge/commit/a21b6b4fed997c7185d6342a03c5f24b14766c6b) ยท 2026-05-28 |
| **NeMo AutoModel** | NeMo AutoModel - PyTorch-native distributed training for LLMs/VLMs with Hugging Face support, recipes, launchers, and validation workflows. | 4 | [`skills/nemo-automodel-distributed-training/`](skills/nemo-automodel-distributed-training) | [Source](https://github.com/NVIDIA-NeMo/Automodel/tree/main/skills/nemo-automodel-distributed-training) | [`96e0d55`](https://github.com/NVIDIA-NeMo/Automodel/commit/96e0d550ba77d017f119cd6438587a46245e91c6) ยท 2026-05-28 |
| **NemoClaw** | Secure agent sandboxing โ run OpenClaw inside NVIDIA OpenShell with managed inference, policy management, remote deployment, sandbox monitoring. | 10 | [`skills/nemoclaw-user-agent-skills/`](skills/nemoclaw-user-agent-skills) | [Source](https://github.com/NVIDIA/NemoClaw/tree/main/skills/nemoclaw-user-agent-skills) | [`faa0b8e`](https://github.com/NVIDIA/NemoClaw/commit/faa0b8ecd43bdffdb1b9303050147ce43c09c1b7) ยท 2026-05-28 |
| **Nemotron** | Author end-to-end model development, customization, evaluation, and deployment pipelines using the NVIDIA AI stack. | 1 | [`skills/nemotron-customize/`](skills/nemotron-customize) | [Source](https://github.com/NVIDIA-NeMo/Nemotron/tree/main/skills/nemotron-customize) | [`5021dc9`](https://github.com/NVIDIA-NeMo/Nemotron/commit/5021dc93e8f15acb540995c2947101c9cfce26e3) ยท 2026-05-28 |
| **Skill Card Generator** | Reads an agent skill's source files and produces a skill card plus a review table. Use when a skill directory exists and a governance card needs to be generated or updated. | 1 | [`skills/skill-card-generator/`](skills/skill-card-generator) | [Source](https://github.com/NVIDIA/Trustworthy-AI/tree/main/skills/skill-card-generator) | [`09b0d6b`](https://github.com/NVIDIA/Trustworthy-AI/commit/09b0d6b03ee587cc8672ad3133a4eb84aeadbd2a) ยท 2026-05-28 |
---
## Getting Help & Contributing
For skill-related issues, feature requests, new skill ideas, discussions, and contributions โ use the source repo for the relevant product:
| Product | Issues | Discussions | Contributing | Security |
|---------|--------|-------------|--------------|----------|
| **AIQ** | [Issues](https://github.com/NVIDIA-AI-Blueprints/aiq/issues) | [Discussions](https://github.com/NVIDIA-AI-Blueprints/aiq/discussions) | [Contributing](https://github.com/NVIDIA-AI-Blueprints/aiq/blob/develop/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA-AI-Blueprints/aiq/blob/develop/SECURITY.md) |
| **cuOpt** | [Issues](https://github.com/NVIDIA/cuopt/issues) | [Discussions](https://github.com/NVIDIA/cuopt/discussions) | [Contributing](https://github.com/NVIDIA/cuopt/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA/cuopt/blob/main/SECURITY.md) |
| **cuPyNumeric** | [Issues](https://github.com/nv-legate/cupynumeric/issues) | [Discussions](https://github.com/nv-legate/cupynumeric/discussions) | [Contributing](https://github.com/nv-legate/cupynumeric/blob/main/CONTRIBUTING.md) | [Security](https://github.com/nv-legate/cupynumeric/blob/main/SECURITY.md) |
| **DALI** | [Issues](https://github.com/NVIDIA/DALI/issues) | [Discussions](https://github.com/NVIDIA/DALI/discussions) | [Contributing](https://github.com/NVIDIA/DALI/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA/DALI/blob/main/SECURITY.md) |
| **DeepStream** | [Issues](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/issues) | [Discussions](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/discussions) | [Contributing](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA-AI-IOT/DeepStream_Coding_Agent/blob/main/SECURITY.md) |
| **Dynamo** | [Issues](https://github.com/ai-dynamo/dynamo/issues) | [Discussions](https://github.com/ai-dynamo/dynamo/discussions) | [Contributing](https://github.com/ai-dynamo/dynamo/blob/main/CONTRIBUTING.md) | [Security](https://github.com/ai-dynamo/dynamo/blob/main/SECURITY.md) |
| **Megatron-Bridge** | [Issues](https://github.com/NVIDIA-NeMo/Megatron-Bridge/issues) | [Discussions](https://github.com/NVIDIA-NeMo/Megatron-Bridge/discussions) | [Contributing](https://github.com/NVIDIA-NeMo/Megatron-Bridge/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA-NeMo/Megatron-Bridge/blob/main/SECURITY.md) |
| **NeMo AutoModel** | [Issues](https://github.com/NVIDIA-NeMo/Automodel/issues) | [Discussions](https://github.com/NVIDIA-NeMo/Automodel/discussions) | [Contributing](https://github.com/NVIDIA-NeMo/Automodel/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA-NeMo/Automodel/blob/main/SECURITY.md) |
| **NemoClaw** | [Issues](https://github.com/NVIDIA/NemoClaw/issues) | [Discussions](https://github.com/NVIDIA/NemoClaw/discussions) | [Contributing](https://github.com/NVIDIA/NemoClaw/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA/NemoClaw/blob/main/SECURITY.md) |
| **Nemotron** | [Issues](https://github.com/NVIDIA-NeMo/Nemotron/issues) | [Discussions](https://github.com/NVIDIA-NeMo/Nemotron/discussions) | [Contributing](https://github.com/NVIDIA-NeMo/Nemotron/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA-NeMo/Nemotron/blob/main/SECURITY.md) |
| **Skill Card Generator** | [Issues](https://github.com/NVIDIA/Trustworthy-AI/issues) | [Discussions](https://github.com/NVIDIA/Trustworthy-AI/discussions) | [Contributing](https://github.com/NVIDIA/Trustworthy-AI/blob/main/CONTRIBUTING.md) | [Security](https://github.com/NVIDIA/Trustworthy-AI/blob/main/SECURITY.md) |
For issues with **this catalog repo itself** (README, structure, listing a new product): [open an issue here](../../issues).
---
## Verifying Skills
Every published skill ships with a detached OMS signature (`skill.oms.sig`). The sync pipeline drops any skill missing `skill.oms.sig`, `skill-card.md`, or `evals.json` before publishing, so anything in the catalog has all three artifacts.
Verify a skill against the NVIDIA trust anchor [`nv-agent-root-cert.pem`](nv-agent-root-cert.pem):
```bash
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
```
See [Verify Signed Agent Skills](docs/signing-agent-skills.mdx) for signature layout, the trust pipeline, and policy options.
---
## Roadmap
- โ
Public skills catalog with NVIDIA-verified skills across multiple products
- โ
Automated sync pipeline with skills mirrored from product repos daily
- โ
Security scanning for all published skills covering instruction safety and supply-chain integrity
- โ
Skills signing so every published skill carries a verifiable NVIDIA signature
- โ
Skills universal evaluation criteria and task-specific criteria
- โ
Skill Card with machine-readable metadata for identity, provenance, quality, and behavioral boundaries
- ๐ฒ Compliance gates before external publication
- ๐ฒ Syndication to external marketplaces and MCP hubs
---
## Repository Structure
```
NVIDIA/skills/
โโโ skills/ # Verified skills, mirrored daily from product repos
โ โโโ README.md # Install guidance for people browsing this folder directly
โ โโโ aiq-research/ # AIQ โ deep/shallow research workflow
โ โโโ aiq-deploy/ # AIQ โ local service deployment
โ โโโ cuopt/ # cuOpt skills (routing, optimization, server, install, โฆ)
โโโ components.d/ # Product registry โ one file per component, teams onboard here
โ โโโ README.md # Schema and onboarding instructions
โ โโโ aiq.yml
โ โโโ cuopt.yml
โ โโโ โฆ # one file per registered product
โโโ plugins/ # Packaged plugin distributions
โ โโโ nvidia-skills/ # Curated NVIDIA skills bundle (Claude Code, Codex)
โโโ plugins.d/ # Plugin build registry โ config for `build-plugins.py`
โ โโโ README.md
โ โโโ _defaults.yml
โ โโโ nvidia-skills.yml
โโโ .claude-plugin/ # Claude Code marketplace metadata
โ โโโ marketplace.json
โโโ .agents/plugins/ # Agent marketplace metadata (other clients)
โ โโโ marketplace.json
โโโ docs/ # Long-form documentation (published via Fern)
โ โโโ README.md # How to build the docs locally
โ โโโ index.mdx
โ โโโ advanced-install.mdx
โ โโโ agent-skill-trust-pipeline.mdx
โ โโโ release-checklist.mdx
โ โโโ scanning-agent-skills.mdx
โ โโโ signing-agent-skills.mdx
โ โโโ skill-cards.mdx
โโโ fern/ # Fern docs site configuration
โโโ .github/
โ โโโ workflows/ # Sync pipeline, plugin validation, DCO check
โ โโโ scripts/ # regenerate-readme.sh, build-plugins.py
โโโ nv-agent-root-cert.pem # Trust anchor for OMS signature verification
โโโ CHANGELOG.md
โโโ CONTRIBUTING.md # Contribution guidelines
โโโ SECURITY.md # Security reporting policy
โโโ CODE_OF_CONDUCT.md # Community code of conduct
โโโ LICENSE # Apache 2.0 / CC BY 4.0
```
Skills are maintained in their respective product repos (see the **Source** column in the [Skill Catalog](#skill-catalog)) and automatically synced to this repo daily. Products only appear under `skills/` after the sync pipeline confirms each skill carries `skill.oms.sig`, `skill-card.md`, and `evals.json`.
---
## Standards & Compatibility
This repository adheres to the [Agent Skills specification](https://agentskills.io/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 โ lightweight metadata loads at startup, full instructions load on activation.
- Validate your skill using the [`skills-ref`](https://github.com/agentskills/agentskills/tree/main/skills-ref) reference library.
---
## License
This project is dual-licensed under the [Apache License 2.0](LICENSE) and [Creative Commons Attribution 4.0 International (CC BY 4.0)](LICENSE).