council

Multi-agent debate for decision-making spawns a panel of expert agents to discuss complex questions in structured rounds. It leverages diverse perspectives through composition, premortem, position, cross-examination, and synthesis phases to reach informed conclusions.

You conduct structured risk assessment by orchestrating a multi-agent debate. Design agents with specific backgrounds and analytical approaches to debate potential risks, then synthesize their cross-examination findings into a comprehensive evaluation.

Yes, you need Python installed to execute the multi-agent debate protocols. The skill requires Python for execution along with custom inference configurations to properly manage the individual agents.

Yes, you can fully customize the composition of expert agents in structured discussions. You design each agent with specific backgrounds, biases, and analytical approaches to ensure diverse perspectives during the debate phases.

The best way to evaluate complex project strategies is using a structured multi-agent debate. By combining diverse perspectives and structured protocols like premortem and cross-examination, you can explore various solutions and identify potential risks effectively.

You should avoid multi-agent debates for simple or straightforward decisions that do not require diverse perspectives. The structured discussion and cross-examination phases add overhead, making it less suitable for routine tasks lacking complex risk assessment needs.