debate-agents

Spawn expert agents to debate or poll and synthesize trade-offs.

14|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/hungv47/meta-skills --skill debate-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debate-agents
Source: https://github.com/hungv47/meta-skills/tree/main/skills/meta/debate-agents
Command: npx skills add https://github.com/hungv47/meta-skills --skill debate-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Enables framing and testing of hard decisions by running multiple expert perspectives through debate or poll, producing a structured synthesis that surfaces trade-offs and disagreements.

Core Features & Use Cases

  • Spawn 3-5 diverse agents to debate high-stakes questions or 10+ agents for poll-style input.
  • Produce structured outputs including Participants, Consensus, Key Disagreements, Recommended Action, and Unresolved Risks.
  • Standalone mode writes dated artifact records; sub-routine mode returns inline synthesis to the caller.
  • Supports integration into larger decision pipelines (discover, prioritize, architect-system) as a sub-routine.

Quick Start

Frame the decision clearly, choose the mode (debate or poll), and invoke debate-agents to obtain a reproducible synthesis.

Frequently Asked Questions about debate-agents

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

FAQPage Schema
How does multi-agent debate help with decision support and risk analysis?

Multi-agent debate improves decision support by spawning 3-5 expert perspectives to argue high-stakes questions, surfacing trade-offs and disagreements. This structured risk analysis produces a synthesis with recommended actions and unresolved risks for robust evaluation.

What is the difference between debate mode and poll mode for multi-agent consensus?

Debate mode spawns 3-5 distinct agents to argue opposing viewpoints, while poll mode gathers input from 10+ agents. Both generate structured consensus outputs, but debate emphasizes surfacing deep trade-offs whereas poll captures broader multi-perspective input.

How do I frame a decision to get structured trade-offs from a multi-agent system?

Frame your decision clearly, choose debate or poll mode, and invoke the system to obtain a reproducible synthesis. The structured output includes participants, consensus, key disagreements, recommended action, and unresolved risks for audit-friendly records.

Can I integrate multi-agent debate results into a larger decision pipeline?

Yes, multi-agent debate supports sub-routine invocation by other skills, returning inline synthesis directly to the caller's flow. This enables integration into larger decision pipelines like discover, prioritize, or architect-system as a sub-routine step.

Does multi-agent debate require any external dependencies to run?

No external dependencies are required to run multi-agent debate. The standalone mode writes dated artifact records autonomously, and sub-routine mode returns inline synthesis without needing external libraries or frameworks.

When should I use standalone mode versus sub-routine mode for consensus analysis?

Use standalone mode when you need dated artifact records for independent audit and review. Use sub-routine mode when integrating consensus analysis directly into a larger decision pipeline to return inline synthesis back to the calling workflow.