Council

Orchestrate multi-round agent debates with customizable roles and transcripts.

1|Updated Mar 11, 2026

Search Tags:#decision making #collaboration #analysis #multi-agent #perspectives #debate

Ready to run

npx skills add https://github.com/BishopCodes/OpenPAI --skill council-bishopcodes

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill facilitates structured, multi-agent debates to explore complex topics from diverse perspectives, leading to more robust and well-considered decisions.

Core Features & Use Cases

Structured Debate: Engages specialized agents (Architect, Designer, Engineer, Researcher) in a 3-round debate format.
Collaborative-Adversarial Analysis: Agents challenge each other's points to uncover insights and potential issues.
Visible Transcripts: Provides a clear record of the discussion, including initial positions, responses, and final synthesis.
Use Case: When deciding on a new software architecture, use the Council skill to have agents debate the pros and cons of different approaches, ensuring all angles are considered before implementation.

Quick Start

Use the Council skill to debate the topic of implementing a new caching strategy.

Frequently Asked Questions about Council

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is multi-agent debate for software architecture decisions?▼

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.

How do I use multi-agent debate to analyze a new caching strategy?▼

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.

Can I customize the expert roles in a multi-agent debate?▼

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.

What's the best way to evaluate diverse perspectives on complex topics?▼

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.

How does a collaborative-adversarial discussion uncover potential issues?▼

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.

Are visible transcripts available after the multi-agent debate concludes?▼

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.