debate

Organize multi-turn AI tool debates with evidence-backed arguments and structured summaries.

Updated Aug 23, 2026

Search Tags:#AI tools #evaluation #comparison #debate #structured argument

Ready to run

npx skills add https://github.com/RnR-DND/ARC-HAWK-DD --skill debate-rnr-dnd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debate
Source: https://github.com/RnR-DND/ARC-HAWK-DD/tree/main/.agent/agentsys/.kiro/skills/debate
Command: npx skills add https://github.com/RnR-DND/ARC-HAWK-DD --skill debate-rnr-dnd

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Facilitates organized multi-round debates between AI tools, ensuring clear exchanges, evidence support, and structured summaries to evaluate contrasting positions.

Core Features & Use Cases

Debate Structuring: Defines role-based prompts for proposers and challengers to argue with evidence support.
Multi-Round Coordination: Manages sequential exchanges with context assembly rules and response evaluation.
Summarization & Verdicts: Produces comprehensive debate summaries, verdicts, and recommendations based on the exchanges.
Use Case: Deploy this Skill to compare different AI models’ solutions for a complex technical question, documenting strengths and weaknesses systematically.

Quick Start

Input a debate topic and role assignments, then initiate rounds of argumentation, observing structured prompts and outcomes.

Frequently Asked Questions about debate

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

FAQPage Schema

How do I structure a multi-round AI debate to compare different technical solutions?▼

A structured AI debate compares technical solutions by organizing multi-turn adversarial reasoning between designated roles, ensuring evidence support and clear exchanges to evaluate contrasting positions.

Can I use structured argumentation to generate a comparison summary of different AI models?▼

Yes, structured argumentation generates comparison summaries of AI models by coordinating multi-turn exchanges, producing comprehensive debate summaries, documented verdicts, and recommendations based on evaluated strengths and weaknesses.

What is the best way to ensure evidence citation during an automated AI tool evaluation?▼

The best way to ensure evidence citation during AI tool evaluation is to enforce strict adherence to evidence citation rules and structured dialogue constraints within role-based prompts for both proposers and challengers.

Does multi-round debate orchestration work for evaluating complex conceptual issues?▼

Multi-round debate orchestration works for evaluating complex conceptual issues by facilitating detailed adversarial reasoning, managing sequential exchanges with context assembly rules, and outputting structured summaries for comparative analysis.

Are there limitations when using structured debate orchestration for decision-making?▼

Limitations of structured debate orchestration include its strict requirement for evidence citation and adherence to structured dialogue rules, meaning it may not suit decision-making scenarios lacking verifiable evidence or requiring rapid, unstructured exchanges.