multi-agent-collab-playbook

To coordinate multiple AI agents for a code review, assign specific roles like main and swe agents, establish communication protocols, and enforce delivery standards. This structured approach ensures smooth collaboration and accountability throughout the review process.

Multi-agent collaboration is a structured coordination method defining roles and rules for multiple assistants. You need it for technical research when tasks require lightweight teamwork, ensuring efficient task management and traceability across agents.

Yes, you can use this multi-agent framework for documentation processes. It supports scenarios requiring lightweight coordination by defining role responsibilities for research-writer agents and establishing consistent delivery standards to improve task management.

To set up roles and rules for cross-agent collaboration, instruct the AI to adopt the multi-agent collaboration framework. This defines specific responsibilities for main, swe, and research-writer agents, establishing clear communication protocols and delivery standards.

Yes, multi-agent coordination enforces strict validation and tracking requirements. By clarifying roles and establishing consistent delivery standards, the framework ensures quality and accountability across all coordinated tasks and agent outputs.