# minimax

> Use this tool when you need to make strategic decisions in games or competitive scenarios, as it solves problems related to optimizing moves and predicting outcomes by evaluating possible actions and their consequences. The minimax algorithm takes in a game state or tree of possible moves as input and outputs the best decision or move, considering factors like winning or losing conditions. It is particularly useful in contexts like game development, AI-powered gameplay, or decision-making under uncertainty.

Canonical page: https://skillsregistry.net/skills/kitsanannam-hue-minimax  
JSON: https://api.skillsregistry.net/v1/skills/kitsanannam-hue-minimax

## 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:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kitsanannam-hue/minimax)

## 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": "kitsanannam-hue-minimax"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kitsanannam-hue-minimax` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kitsanannam-hue-minimax/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