ln-005-multi-agent-context-review

Multi-agent code review works by delegating plans, decisions, and documents to external AI models like Codex and Gemini for independent analysis. It operates within a Plan Mode, using a structured debate protocol to facilitate constructive feedback and refine architecture proposals.

You delegate decision analysis to multiple AI agents by sending critical decisions to external models like Codex and Gemini. This Skill operates within a Plan Mode, employing a structured communication framework to ensure thorough evaluation and independent feedback on project decisions.

Yes, you can use external AI models like Codex and Gemini for plan review. This Skill requires integration with these external AI models to distribute project plans for independent review, identifying potential flaws and suggesting improvements before implementation.

The debate protocol in AI delegation is a structured communication framework that facilitates constructive debate among external AI agents. It operates within a Plan Mode to refine outcomes when agents review technical documents and architecture proposals.

Yes, a structured communication framework is required for multi-agent context review. This framework ensures effective delegation of plans and documents to external AI agents, enabling the debate protocol to function correctly for enhanced review outcomes.

You should use multi-agent review when proposing complex architectures like new microservices, where independent analysis from multiple AI models is needed. It ensures thorough analysis by sending proposals to various agents to identify flaws and suggest improvements before implementation.