# jarvis

> jarvis — phuongddx-jarvis. Use this tool when you need to access and manage code, knowledge, and context for AI agents, providing a unified interface to leverage local and cloud-based resources, including git integration, to streamline development and deployment. It solves problems related to agent development, testing, and maintenance by offering a centralized layer for managing agent capabilities. Ideal for use cases requiring seamless interaction between agents, tools, and runtime environments.

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

## Description

JARVIS is an intelligent layer that gives agents access to their code, knowledge, context, memory, tools, and runtime — starting locally on your machine, with the ability to extend into the cloud.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/phuongddx/jarvis)

## 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": "phuongddx-jarvis"
    }
  }
}
```

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