# neo

> neo — neomjs-neo. Use this tool when you need to automate and evolve AI engineering tasks, such as developing and deploying live apps, to solve complex problems like model drift and system maintenance. It takes in inputs like code repositories via git and outputs self-healing, adaptive AI systems. Ideal for use cases requiring continuous improvement and scalability in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/neomjs-neo  
JSON: https://api.skillsregistry.net/v1/skills/neomjs-neo

## Description

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

## Trust

- **Trust score (0–1):** 0.10
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## 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/neomjs/neo)

## 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": "neomjs-neo"
    }
  }
}
```

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