council

Multi-perspective feedback is generated by spawning multiple AI sub-agents with distinct expert personas to analyze your idea. The Skill simulates diverse viewpoints including technical feasibility, user experience, and financial risk to provide comprehensive synthesized insights.

Multi-perspective idea analysis stress-tests your plans by simulating a panel of experts like a Devil's Advocate, Architect, and Quant. You need this process before launching product features to evaluate market viability, identify potential risks, and validate design decisions comprehensively.

To simulate diverse expert viewpoints, the Skill automatically discovers and utilizes custom agent personas from a specified directory. It spawns sub-agents representing challenge, design, implementation, user experience, and financial risk roles to analyze your provided plan dynamically.

Automated agent discovery supports custom expert personas by finding and utilizing them from a specified directory. This allows you to tailor the feedback panel to your specific domain while maintaining a structured output format for synthesized insights.

Evaluating technical feasibility and financial risk is best achieved by sending your design to a simulated council of expert agents. This approach provides structured feedback across multiple dimensions including engineering constraints, user experience, and market viability.

Multi-perspective idea analysis works without custom integration code by leveraging internal scripts and references. The Skill handles the dynamic agent spawning and persona discovery automatically, requiring only your idea or plan as input to generate structured feedback.