Orchestrate multi-round agent debates with customizable roles and transcripts.
npx skills add https://github.com/BishopCodes/OpenPAI --skill council-bishopcodes
Please help me install this Agent Skill. Skill: Council Source: https://github.com/BishopCodes/OpenPAI/tree/main/skills/Thinking/Council Command: npx skills add https://github.com/BishopCodes/OpenPAI --skill council-bishopcodes
This Skill facilitates structured, multi-agent debates to explore complex topics from diverse perspectives, leading to more robust and well-considered decisions.
Use the Council skill to debate the topic of implementing a new caching strategy.
High-intent search queries and answers about installing and using this skill.
Multi-agent debate is a structured analysis format where specialized AI agents assume expert roles to discuss complex topics. It facilitates collaborative-adversarial discussions by having agents challenge each other's points to uncover insights and potential issues before implementation.
To analyze a caching strategy, initiate the debate with your topic. The process orchestrates a 3-round format where agents in roles like Architect, Designer, Engineer, and Researcher present initial positions, respond to challenges, and synthesize a final decision.
Yes, the debate structure supports customizable agent roles and formats. You can tailor the analysis by defining specific expert viewpoints and adjusting the multi-round debate structure to fit the specialized needs of your problem-solving context.
The best way to evaluate diverse perspectives is using a structured, multi-round debate format. This approach forces collaborative-adversarial analysis, ensuring agents challenge each other's points to uncover robust insights and potential issues for well-considered decisions.
A collaborative-adversarial discussion uncovers issues by having specialized agents challenge each other's initial positions across multiple rounds. This visible transcript of responses and counter-arguments ensures all angles are considered before final synthesis.
Yes, the debate provides visible transcripts that serve as a clear record of the discussion. These transcripts capture the initial positions, agent responses, challenges, and the final synthesis, ensuring a transparent audit trail for decision-making.
gokulkrishhSimulate multi-agent debates with Scholar, Logician, Contrarian, and Captain roles.
team-attentionAutomates multi-faceted decision analysis for IT project planning and resource optimization.
NavarrePrattPlan complex development work into debate-driven implementation issues with verification commands.
sliorEvaluate convergence across agent refinements and generate final synthesis documents.
