skill-debate

Coordinate structured multi-model debates to identify risks and synthesize recommendations.

Updated Jun 16, 2026

Search Tags:#code review #decision making #multi-model #consensus #debate #ai orchestration

Ready to run

npx skills add https://github.com/burgebj/claudeoctopus --skill skill-debate-burgebj

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-debate
Source: https://github.com/burgebj/claudeoctopus/tree/main/.claude/skills/skill-debate
Command: npx skills add https://github.com/burgebj/claudeoctopus --skill skill-debate-burgebj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams avoid single-model blind spots by coordinating structured debates among multiple AI providers to surface risks, disagreements, and stronger decisions.

Core Features & Use Cases

Multi-Provider Debate Orchestration: Runs structured discussions between Claude and available AI advisors with configurable rounds, styles, and participants.
Consensus Analysis and Synthesis: Collects independent perspectives, evaluates disagreements, and produces actionable recommendations from the debate.
Use Case: When choosing an architecture approach, reviewing a critical code change, or evaluating a strategic decision, use this Skill to gather adversarial and collaborative feedback before committing.

Quick Start

Use the skill-debate skill to run a multi-model debate about whether we should adopt a new technology or approach.

Frequently Asked Questions about skill-debate

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

FAQPage Schema

How do I run a multi-model debate for code review and architecture decisions?▼

To run a multi-model debate for code review, you orchestrate structured discussion rounds between Claude and available AI advisors. The process coordinates independent perspectives, evaluates disagreements, and synthesizes actionable recommendations to improve decision quality.

What is multi-model consensus analysis and how does it evaluate disagreements?▼

Multi-model consensus analysis collects independent AI perspectives from a debate, evaluates areas of disagreement, and synthesizes them into actionable recommendations. This process ensures diverse viewpoints are weighed before committing to technical or strategic decisions.

Can I use multi-model debate orchestration for strategic trade-off analysis?▼

Yes, you can use multi-model debate orchestration for strategic trade-off analysis. The Skill coordinates structured discussions with configurable rounds and participants to gather adversarial and collaborative feedback, ensuring diverse viewpoints are evaluated before committing.

Do I need specific provider orchestration tools to run AI debates?▼

You need provider orchestration capabilities to manage multi-model debates, including round management, response synthesis, and quality evaluation workflows. The Skill coordinates these structured discussions between Claude and available AI advisors without requiring external dependencies.

What are the limitations of using a single-model approach instead of multi-model debates?▼

Single-model approaches risk blind spots in technical decisions and code reviews. Multi-model debates mitigate this by coordinating structured discussions among multiple AI providers to surface risks, disagreements, and stronger decisions through diverse perspectives.