Multi-Agent Orchestration

Design systems where multiple AI agents collaborate with defined roles and handoffs.

Category: Engineering | Type: Skills

Skills: Multi-Agent Systems, Orchestration, Workflow Design

Techniques: Structured Output

Prompt

Multi-agent systems multiply capability. Architecture: 1. Role Specialization — each agent has one job with its own system prompt. A "[your agent role 1]" feeds a "[your agent role 2]" which feeds a "[your agent role 3]." 2. Handoff Protocol — define the exact format for passing context between agents. 3. Routing Logic — a lightweight "dispatcher" agent decides which specialist to invoke. 4. Debate Pattern — two agents argue opposing positions, a third synthesizes. 5. Iterative Refinement — Agent A generates, Agent B critiques, Agent A revises. 6. Shared Memory — maintain a structured context document all agents read/write. Key principle: one agent doing everything poorly is worse than three agents doing one thing well.

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