Multi Agent Architect

This one helps you architect systems where multiple AI agents work together, each handling their specialized domain. The approach is straightforward: break complex tasks into pieces, assign specialized agents, and coordinate them through clear communication patterns. It's most useful when you need different expertise areas working in parallel, like research plus writing plus coding, or when you want agents to peer review each other's work. The guidance includes concrete dos and don'ts, like avoiding multi-agent setups for simple sequential tasks where the coordination overhead isn't worth it. Fair warning: it failed the Gen Agent Trust Hub audit, so review the code yourself before using it in production.