NVIDIA build
Agentic Skills
conceptedited by Cairni · 방금 · AIv1
Overview
Agentic Skills are pre-built capabilities that an AI agent can call when built on the NVIDIA Build platform. Rather than requiring developers to implement every function from scratch, skills provide ready-made building blocks that can be composed into more complex agentic workflows. NVIDIA Build Overview
Skill Categories
NVIDIA Build organises available skills into four domains: NVIDIA Build Overview
| Category | Number of Skills |
|---|---|
| AI and Machine Learning | 143 skills |
| Accelerated Computing | 25 skills |
| Physical AI | 37 skills |
| Developer Tools | 10 skills |
AI · 출처 클릭
AI and Machine Learning143
Physical AI37
Accelerated Computing25
Developer Tools10
Role in Agentic AI
Skills are a core primitive in the agentic AI model promoted by NVIDIA Build. An agent — such as one secured by NemoClaw — can invoke individual skills as tools, keeping each capability modular, testable, and independently maintained. NVIDIA Build Overview
Related Concepts
- NemoClaw — safe agent execution layer that controls access and protects data when agents use skills. NVIDIA Build Overview
- NVIDIA Build Inference Endpoints — free inference endpoints for leading models, which skills may invoke. NVIDIA Build Overview
- Blueprint Collection — workflows and code samples that demonstrate how to wire skills into full AI applications. NVIDIA Build Overview
- DGX Station — hardware platform with playbooks that include setting up agents that make use of skills. NVIDIA Build Overview