autonomous-agent-gaming

SKILL.md

Build sophisticated game-playing agents that learn strategies, adapt to opponents, and master complex games through AI and reinforcement learning.

Use predefined rules and heuristics. See full implementation in examples/rulebasedagent.py.

Optimal decision-making for turn-based games. See examples/minimaxagent.py.

Build autonomous game-playing agents using AI and reinforcement learning. Covers game environments, agent decision-making, strategy development, and performance optimization. Use when creating game-playing bots, testing game AI, strategic decision-making systems, or game theory applications. Source: qodex-ai/ai-agent-skills.

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