agent-team

Manage multi-agent teams with role definitions and shared memory.

5.0k|479|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/anbeime/skill --skill agent-team-anbeime
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-team
Source: https://github.com/anbeime/skill/tree/main/skills/agent-team/agent-team
Command: npx skills add https://github.com/anbeime/skill --skill agent-team-anbeime

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a framework for managing and coordinating multiple AI agents, enabling them to collaborate effectively like a human team to tackle complex, multi-faceted tasks.

Core Features & Use Cases

  • Dynamic Team Assembly: Assemble teams of specialized AI agents (e.g., strategist, engineer, reviewer) based on task requirements.
  • Role-Based Collaboration: Define clear roles and responsibilities for each agent within the team.
  • Real-time Communication & Shared Memory: Observe agent interactions and ensure consistent context through a shared database memory.
  • Use Case: Use this Skill to simulate a product development team, where a Product Manager defines requirements, an Architect designs the system, Engineers build it, and Reviewers provide feedback, all within a coordinated workflow.

Quick Start

Use the agent-team skill to assemble a team for evaluating a new technical proposal.

Frequently Asked Questions about agent-team

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

FAQPage Schema
How do I coordinate multiple AI agents for complex task automation?

Multi-agent coordination is managed by assembling specialized AI agents with clear role definitions, enabling them to collaborate like a human team to tackle complex, multi-faceted tasks.

What is the best way to define roles in a multi-agent team workflow?

Role definition in a multi-agent team involves specifying clear divisions of responsibility, categorizing agents into those who execute work, those who direct, and those who critique.

Can I dynamically assemble and expand AI agent teams based on task needs?

You can dynamically compose and expand AI agent teams by flexibly assembling role definitions into new team structures based on evolving task requirements and coordination needs.

How does shared database memory work for AI agents in team management?

Shared database memory for AI agents ensures consistent context across the team, allowing you to observe real-time communication and maintain a unified knowledge base during collaboration.

Do I need specific frameworks to simulate a product development team with AI agents?

Simulating a product development team with AI agents requires a collaboration framework that supports role-based coordination, enabling product managers, architects, and engineers to interact within a coordinated workflow.