# lucy-apro

> Use this tool when you need to leverage general capabilities for various tasks, as lucy-apro provides a broad range of functionalities to solve diverse problems. It accepts various inputs and generates relevant outputs, making it a versatile solution for multiple use cases. By utilizing lucy-apro, users can streamline their workflows and efficiently address different challenges in a general context.

Canonical page: https://skillsregistry.net/skills/demomagic-lucy-apro  
JSON: https://api.skillsregistry.net/v1/skills/demomagic-lucy-apro

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/demomagic/lucy-apro)

## 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": "demomagic-lucy-apro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/demomagic-lucy-apro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/demomagic-lucy-apro/pull`

---
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