minimax
CommunityOptimize decisions with minimax reasoning
Authoralfredolopez80
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Helps automate adversarial decision-making by evaluating game states and selecting optimal moves using minimax reasoning.
Core Features & Use Cases
- Minimax evaluation: recursively explores game states to minimize the opponent's maximum payoff.
- Move selection: returns the best move for a given depth.
- Use Case: implement AI opponent for board games or planning under adversarial conditions.
Quick Start
Provide a simple two-player game state and let the AI return the minimax-optimized next move.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: minimax Download link: https://github.com/alfredolopez80/multi-agent-ralph-loop/archive/main.zip#minimax Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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