# elements

> elements — nvidia-elements. Use this tool when you need to streamline UI development for AI/ML applications, robotics, and autonomous vehicles. It provides a comprehensive design system and harness for NVIDIA technologies, solving problems related to inconsistent user interfaces and inefficient development workflows. With git integration, it accepts design inputs and outputs production-ready UI components, ideal for use in AI/ML factories and automotive development contexts.

Canonical page: https://skillsregistry.net/skills/nvidia-elements  
JSON: https://api.skillsregistry.net/v1/skills/nvidia-elements

## Description

NVIDIA Design System and UI Agent Harness for AI/ML Factories, Robotics, and Autonomous Vehicles

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NVIDIA/elements)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nvidia-elements"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nvidia-elements` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nvidia-elements/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
