multi-agent-meeting

Name: multi-agent-meeting
Availability: InStock
Author: anbeime

Simulate multi-agent meetings to reach consensus and generate detailed minutes.

5.0k|479|Updated Feb 2, 2026

Search Tags:#decision making #collaboration #ai agents #multi-agent #simulation #meeting

Ready to run

npx skills add https://github.com/anbeime/skill --skill multi-agent-meeting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-agent-meeting
Source: https://github.com/anbeime/skill/tree/main/skills/multi-agent-meeting/multi-agent-meeting
Command: npx skills add https://github.com/anbeime/skill --skill multi-agent-meeting

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the simulation of multi-agent meetings, enabling complex problem-solving, debate, and consensus-building among diverse AI personas.

Core Features & Use Cases

Simulated Debates: Replicates realistic discussions between AI agents with defined roles, expertise, and personalities.
Consensus Building: Guides AI agents towards a collective decision or conclusion.
Meeting Record Generation: Produces comprehensive minutes including discussions, decisions, and action items.
Use Case: Use this Skill to simulate a product strategy meeting where AI agents representing Product Management, Engineering, and Marketing debate the prioritization of new features, leading to a data-driven roadmap.

Quick Start

Simulate a meeting to decide on a new microservice architecture, configuring agents for technical architecture, DevOps, and product management.

Frequently Asked Questions about multi-agent-meeting

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

FAQPage Schema

How do I simulate a multi-agent meeting for complex decision-making?▼

To simulate a multi-agent meeting for complex decision-making, configure AI agents with distinct roles and expertise, then initiate a structured collaborative discussion to debate project decisions, technical solutions, or business strategies until consensus is reached.

Can AI agents with different roles and personalities reach consensus on technical solutions?▼

Yes, AI agents with defined roles, expertise, and personalities can reach consensus on technical solutions through structured discussions that guide the collaborative debate towards a collective decision and generate detailed meeting minutes.

What is the best way to automate collaborative debate for product strategy meetings?▼

Automating collaborative debate for product strategy meetings involves simulating discussions among diverse AI personas representing different departments, enabling them to prioritize features and produce a data-driven roadmap through consensus building.

How do I generate meeting minutes with action plans from an AI agent simulation?▼

You generate meeting minutes with action plans from an AI agent simulation by running the multi-agent debate to completion, which automatically produces comprehensive records including conclusions, arguments, and action items based on the structured discussion.

Do I need any external dependencies to run AI agent simulations for collaborative problem-solving?▼

No external dependencies are required to run AI agent simulations for collaborative problem-solving, as the skill operates independently to facilitate structured discussions and generate meeting records.

When should I use multi-agent simulation instead of a single AI prompt for project decisions?▼

Use multi-agent simulation instead of a single AI prompt for project decisions when you need diverse perspectives, realistic debates between different expertise areas, and structured consensus building to reach a comprehensive conclusion.