# jarvis-ui

> jarvis-ui — jincocodev-jarvis-ui. Use this tool when you need to create a Heads-Up Display (HUD) web interface for OpenClaw agents, providing a JARVIS-style user experience. It solves the problem of visualizing and interacting with agent data in a intuitive and user-friendly way. The jarvis-ui tool takes in OpenClaw agent data as input and outputs a customizable web-based interface for monitoring and control.

Canonical page: https://skillsregistry.net/skills/jincocodev-jarvis-ui  
JSON: https://api.skillsregistry.net/v1/skills/jincocodev-jarvis-ui

## Description

JARVIS-style HUD web interface for OpenClaw agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jincocodev-jarvis-ui)

## 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": "jincocodev-jarvis-ui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jincocodev-jarvis-ui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jincocodev-jarvis-ui/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