agent-teams

Manage multi-agent team lifecycles, task assignment, and inbox messaging.

1|Updated Feb 3, 2026

Search Tags:#collaboration #task management #AI agents #multi-agent #orchestration #agent teams

Ready to run

npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill agent-teams-hqwuzhaoyi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-teams
Source: https://github.com/hqwuzhaoyi/code-agent-monitor/tree/main/skills/agent-teams
Command: npx skills add https://github.com/hqwuzhaoyi/code-agent-monitor --skill agent-teams-hqwuzhaoyi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation, management, and monitoring of multiple AI agents working collaboratively on complex tasks, simplifying team orchestration and inter-agent communication.

Core Features & Use Cases

Team Lifecycle Management: Create, monitor, and shut down multi-agent teams.
Agent Spawning & Task Assignment: Dynamically add agents to teams and assign specific tasks.
Communication & Progress Tracking: Facilitate inbox messaging between agents and track overall team progress.
Use Case: Imagine you need to develop a new feature. You can use this Skill to create a "development team" with a developer agent, a tester agent, and a reviewer agent, assigning them specific sub-tasks and monitoring their combined progress.

Quick Start

Use the agent-teams skill to create a new team named 'dev-team' for the project '/path/to/project'.

Frequently Asked Questions about agent-teams

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

FAQPage Schema

How do I orchestrate multi-agent teams for complex task management?▼

Multi-agent orchestration manages the lifecycle, task assignment, and progress tracking of AI agent teams. It supports automated and manual workflows, dynamically spawning agents and facilitating inter-agent inbox messaging for collaborative task completion.

What is multi-agent team lifecycle management and when do I need it?▼

Team lifecycle management handles the creation, monitoring, and shutdown of multi-agent teams. You need it when breaking down complex projects into sub-tasks requiring multiple specialized AI agents collaborating and tracking progress simultaneously.

How do I assign specific tasks to individual AI agents in a team?▼

Assign tasks to specific AI agents by dynamically spawning team members and allocating sub-tasks based on the task description. The orchestration system uses natural language intent mapping for role assignment and team operations.

Can I use natural language to manage AI agent team operations?▼

Yes, you can use natural language intent mapping for team operations. The system interprets plain language commands to assign roles based on task descriptions, manage agent spawning, and handle task assignment dynamically.

Does multi-agent orchestration work with OpenClaw for system event handling?▼

Multi-agent orchestration integrates with OpenClaw for system event handling and notification routing. This ensures inter-agent communication and inbox messaging are synchronized with broader system events throughout the team lifecycle.

What are the limitations of using automated agent orchestration workflows?▼

Automated agent orchestration limitations depend on the complexity of natural language intent mapping for role assignment. While it handles dynamic spawning and progress tracking, highly ambiguous task descriptions may require manual orchestration workflows for accurate task assignment.