critique

To critique a product strategy plan with parallel AI agents, spawn multiple subagents in conversation to evaluate risks and tradeoffs. The Skill deploys 1–6 critic perspectives simultaneously and synthesizes their feedback into a revised plan without changing core intent.

Multi-perspective evaluation in AI workflow decision-making is the process of deploying multiple critic agents in parallel to surface risks and alternatives. This approach enables rapid assessment of proposed plans across product strategy, architecture, and operations to produce a cohesive critique.

Yes, you can specify the number of critic agents for automated plan revision by providing an AGENT_COUNT. The system supports deploying 1 to 6 parallel critic perspectives to evaluate your most recent proposal and generate a revised plan.

AI critique does not alter the original intent of your architecture proposal. It operates non-destructively by suggesting concrete fixes and merging critiques into a concise summary, ensuring your core plan remains intact while addressing identified risks.

To synthesize multiple AI critiques into a single revised plan, the system merges feedback from parallel subagents into a concise summary. It automatically extracts the most recent plan from the conversation and outputs a cohesive revised plan.

You need parallel subagents for operations and architecture planning when a single perspective is insufficient to surface hidden tradeoffs. Spawning multiple critic agents enables rapid, multi-perspective evaluation to identify risks before finalizing decisions.