What problem does it solve?
Analyzes multi-agent architectures and recommends orchestration strategies, communication patterns, and tool-use designs for agentic AI systems. Provides pattern selection guidance backed by current best practices from Google, Anthropic, and the broader AI engineering community. Use this skill whenever the user asks about designing agent systems, choosing between orchestration approaches (sequential, parallel, hierarchical), structuring multi-agent communication, implementing tool-use patterns like ReAct or reflection loops, or evaluating whether their agentic architecture fits the problem. Also trigger when users mention swarm agents, agent coordination, agent communication protocols, orchestrator-worker setups, or want to understand trade-offs between different multi-agent topologies.
Core Features & Use Cases
- Pattern selection guidance for orchestration, communication, and tool-use designs tailored to agentic systems.
- Reference-driven analysis using the pattern catalog to map user problems to proven patterns.
- Implementation guidance for architecture decisions, including how to instantiate agents, roles, and flows.
Quick Start
Provide a concise problem description and context, and I will propose an architecture using a recommended agent pattern.