# nido

> nido — josepavese-nido. Use this tool when you need to quickly orchestrate local virtual machines (VMs) with QEMU/KVM and MCP Server support, streamlining AI agent development and testing with a nostalgic 80s arcade console interface. It solves problems of slow and cumbersome VM management, providing a fast and efficient solution for AI agent development. Ideal for use cases requiring rapid deployment and testing of AI models, with git integration for seamless version control.

Canonical page: https://skillsregistry.net/skills/josepavese-nido  
JSON: https://api.skillsregistry.net/v1/skills/josepavese-nido

## Description

🪺 Nido: The Arcade Console for AI Agents. Fast, local VM orchestration (QEMU/KVM) with MCP Server support. 80s aesthetics included.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Josepavese/nido)

## 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": "josepavese-nido"
    }
  }
}
```

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