# Haven League

> Use this tool when you need to train AI agents to play strategic board games like Monopoly, and want to enable human coaches to guide the training process. It solves problems of AI decision-making and game strategy development through interactive coaching and commentary. The tool takes in human coaching inputs and outputs trained AI agents capable of making informed game actions.

Canonical page: https://skillsregistry.net/skills/edlee01-haven-league  
JSON: https://api.skillsregistry.net/v1/skills/edlee01-haven-league

## Description

Enables human coaches to train AI agents to play Monopoly, with MCP tools for game actions, match hosting, and AI commentary.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ua512532hs)
- **Repository:** <https://github.com/EDLee01/haven-league>

## 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": "edlee01-haven-league"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/edlee01-haven-league` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/edlee01-haven-league/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