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

CategoryNumber of Skills
AI and Machine Learning143 skills
Accelerated Computing25 skills
Physical AI37 skills
Developer Tools10 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
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