NVIDIA/skills
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 92 contributors on GitHub.
Peaked at #26 in the weekly ranking the week of Jun 28, its best in the past year.
Use Cases & Benefits
- Provides a catalog of NVIDIA-verified agent skills to enable AI coding agents to run NVIDIA software workflows including Physical AI, robotics, simulation, CUDA, and RAG end to end.
- Offers portable, official instruction sets that integrate seamlessly with multiple AI coding agents, ensuring optimal use of NVIDIA's diverse software ecosystem.
- Use for automating GPU-accelerated optimization tasks like vehicle routing and linear programming with AI agents using NVIDIA cuOpt skills.
- Use for deploying and managing simulation and synthetic data generation workflows in robotics and Physical AI environments via AI agents.
- Use for integrating retrieval augmented generation (RAG) pipelines and managing AI model workflows with AI agents in research or production settings.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
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 software optimally, including CUDA-X libraries, AI Blueprints, and platform tools. This repository is a catalog: skills are maintained in their respective product repos, and mirrored here daily via an automated sync pipeline. Skills are being added continuously, so check back for updates. We are building this infrastructure in the open, and contributions are welcome. See the Roadmap for what is planned next.
Install NVIDIA skills with the default
skillsCLI flow:The CLI runs through
npxand 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.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
472+150
Open issues
15+2
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| NVIDIA/skills | 3.8K | — | 45 | — |
| Category median | 55.5K | +6.6K | 40 | — |
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