Agent Architecture Patterns

This skill provides a comprehensive library of AI Agent architecture patterns to help developers:

• Design single-agent architectures (ReAct, Reflection, Self-Critique, Plan-and-Solve, Tree of Thoughts)
• Design multi-agent collaboration systems (Manager-Worker, Peer-to-Peer, Hierarchical, Market-Based, Pipeline)
• Apply system design principles (separation of concerns, fault tolerance, scalability)
• Implement best practices based on OpenClaw

Patterns

Single-Agent Patterns (5)

1. ReAct - Reasoning + Acting alternation
2. Reflection - Self-reflection and iterative improvement
3. Self-Critique - Self-criticism and error correction
4. Plan-and-Solve - Plan first, then execute
5. Tree of Thoughts - Multi-path exploration