skills
NVIDIA's AI agent skills help AI optimize the use of NVIDIA software.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.8k
- Source
- skill-github
- Repository
- github.com/NVIDIA/skills
Overview
NVIDIA Agent Skills are a set of portable instruction sets that teach AI agents how to optimally use NVIDIA software, including CUDA-X libraries, AI Blueprints, and platform tools. These skills are installed via the `skills` CLI and automatically loaded when the AI agent encounters relevant tasks. For example, you can instruct the agent to solve linear programming problems using cuOpt. These skills are ideal for developers and researchers requiring high-performance computing and optimization.
Capabilities
- ▪Guidance on using CUDA-X libraries
- ▪AI Blueprint deployment
- ▪cuDF GPU DataFrame acceleration
- ▪cuFOLIO optimization
- ▪cuOpt optimization
- ▪cuPyNumeric parallel I/O
Use cases
Setup
npx skills add nvidia/skills --skill <skill_name> --agent <agent_name>
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I install a specific skill?
Use the command `npx skills add nvidia/skills --skill <skill_name> --agent <agent_name>`.
Which AI agents are supported?
Supports Claude Code, Codex, Cursor, Kiro, and others.
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