debate

Orchestrate structured two-agent debates and consolidate arguments into a verdict.

5|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/tiancaiamao/ai --skill debate-tiancaiamao
Or copy as Structured Prompt for Agentā–¼
Please help me install this Agent Skill.
Skill: debate
Source: https://github.com/tiancaiamao/ai/tree/main/skills/debate
Command: npx skills add https://github.com/tiancaiamao/ai --skill debate-tiancaiamao

SYSTEM DOCUMENTATION & REQUIREMENTS

šŸ’” This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the coordination burden of running a structured debate between two AI agents, letting you compare opposing positions without manually managing turn order, transcripts, or cleanup.

Core Features & Use Cases

  • Two-agent debate orchestration: Sets up a proposer and opposer, alternates prompts round by round, and keeps the discussion anchored to code evidence.
  • Transcript-driven analysis: Uses a shared debate file so each side can build on prior arguments while the judge reviews the evolving record.
  • Decision synthesis: Produces a final verdict for feasibility questions, architecture tradeoffs, or implementation reviews where you need a reasoned comparison.

Quick Start

Use the debate skill to run a three-round debate on your topic, save the arguments to a shared transcript, and return a concise verdict.

Frequently Asked Questions about debate

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

FAQPage Schema
How do I run a structured two-agent debate for technical feasibility analysis?ā–¼

Run a structured two-agent debate by orchestrating a proposer and opposer across multiple rounds. The process uses a shared transcript file and references-backed subagent prompts to manage turn order, yielding a consolidated final verdict for your technical decision.

Can AI agents conduct code-grounded rebuttals during an architecture tradeoff review?ā–¼

AI agents can conduct code-grounded rebuttals during an architecture review by using a shared debate transcript. Each side builds on prior arguments while a judge reviews the evolving record to ensure the discussion remains anchored to code evidence.

What's the best way to automate multi-round agent comparisons without manually managing turn order?ā–¼

Automate multi-round agent comparisons by using orchestration coordination to alternate prompts between subagents. This approach removes the coordination burden of managing turn order, transcripts, and cleanup, letting you focus on the opposing arguments.

Does running an AI agent debate require a shared transcript file?ā–¼

Running an AI agent debate requires a shared transcript file so each side can build on prior arguments. The shared record ensures the judge reviews the complete, evolving history before synthesizing a final decision for feasibility questions.

Why use a judge-led comparison for technical decision making instead of a single agent review?ā–¼

Use a judge-led comparison for technical decision making to compare opposing positions rather than relying on a single perspective. This structured debate approach produces a reasoned verdict by consolidating arguments from both a proposer and an opposer.