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This skill integrates ReasoningBank adaptive learning patterns with AgentDB's high-performance backend to enable Claude to build self-improving agents. It provides a robust framework for trajectory tracking, outcome judgment, and memory distillation, allowing agents to learn from past experiences and optimize decision-making processes. With performance improvements of up to 150x for pattern retrieval and full backward compatibility, it is ideal for developers implementing reinforcement learning concepts or complex experience replay systems in AI agent workflows.
