# balatro-agent

> balatro-agent — arcadi4-balatro-agent. Use this tool when you need to automate gameplay or simulate strategies for Balatro, a complex game requiring strategic decision-making. The balatro-agent solves problems related to game optimization, scenario planning, and AI-driven competition, accepting game state inputs and producing move outputs. It is ideal for gamers, researchers, and developers looking to leverage AI in Balatro gameplay, integrating with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/arcadi4-balatro-agent  
JSON: https://api.skillsregistry.net/v1/skills/arcadi4-balatro-agent

## Description

Let AI play Balatro

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Arcadi4/balatro-agent)

## 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": "arcadi4-balatro-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arcadi4-balatro-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arcadi4-balatro-agent/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