# autobot

> autobot — dryas-labs-autobot. Use this tool when you need to manage and automate tasks on an MCP server for Cameo Magic Draw 2026, solving problems related to version control and collaboration. It integrates with Git, allowing for seamless input and output of project files and updates. Ideal for teams working on complex projects, providing a streamlined interface for managing changes and updates.

Canonical page: https://skillsregistry.net/skills/dryas-labs-autobot  
JSON: https://api.skillsregistry.net/v1/skills/dryas-labs-autobot

## Description

mcp server for cameo magic draw 2026

## 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:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/dryas-labs/autobot)

## 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": "dryas-labs-autobot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dryas-labs-autobot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dryas-labs-autobot/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