by NVIDIA · Codex Skill · ★ 2.8k
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NVIDIA Agent Skills Official, NVIDIA-verified Agent Skills for Claude Code, Codex, and other coding 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: Physical AI and robotics workflows, simulation, CUDA-X libraries, RAG and 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 contribu
| Stars | 2,817 |
| Forks | 331 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 66.632040886285/100 |
| Open Issues | 14 |
| Last Updated | 2026-08-07 |
| Created | 2026-02-25 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~25k |
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skills is 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.. It is categorized as a Codex Skill with 2.8k GitHub stars.
skills is primarily written in Python. It covers topics such as agent-skills, agentic-ai, ai-agents.
You can find installation instructions and usage details in the skills GitHub repository at github.com/NVIDIA/skills. The project has 2.8k stars and 331 forks, indicating an active community.
skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to skills on Agent Skills Hub include superset, cursor-talk-to-figma-mcp, claude-code-plugins-plus-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.