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jcyLite
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multi-agent-collaboration

Orchestrate multiple AI agents in tmux sessions with role assignment and approval.

Updated Aug 27, 2026
Search Tags:#collaboration#workflow automation#code generation#ai agents#multi-agent#orchestration#team management
One-click install
npx skills add https://github.com/jcyLite/openclaw-plugin-agent-monitor --skill multi-agent-collaboration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-agent-collaboration
Source: https://github.com/jcyLite/openclaw-plugin-agent-monitor/tree/main/skills/multi-agent-collaboration
Command: npx skills add https://github.com/jcyLite/openclaw-plugin-agent-monitor --skill multi-agent-collaboration

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a framework for managing and coordinating multiple AI agents to work together on complex tasks, streamlining development workflows and enabling sophisticated AI-driven projects.

Core Features & Use Cases

  • Agent Lifecycle Management: Start, monitor, and manage multiple AI agents (Claude Code, Codex, Gemini, etc.) within independent tmux sessions.
  • Team Orchestration: Automatically create teams, assign roles (developer, CSS designer, tester), and distribute tasks based on project needs.
  • Intelligent Communication: Facilitates asynchronous communication between agents via an inbox system and enables natural language interaction for decision-making and task delegation.
  • Automated Approval: Implements a multi-layered decision engine to automatically approve low-risk commands and flag high-risk ones for human review.
  • Use Case: A team needs to build a new web application. This Skill can orchestrate a 'developer' agent to write the code, a 'css-designer' agent to style the UI, and a 'tester' agent to ensure functionality, all coordinated within a defined 'team'.

Quick Start

Use the multi-agent-collaboration skill to start a new developer agent for the task 'Implement user authentication'.

Frequently Asked Questions about multi-agent-collaboration

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

FAQPage Schema
How do I orchestrate multiple AI agents for collaborative software development?▼

You orchestrate multiple AI agents by using a framework that manages their lifecycle in independent tmux sessions, assigns roles like developer or tester, and facilitates asynchronous communication to coordinate complex software development tasks.

Can I assign specific roles like CSS designer or tester to different AI agents?▼

Yes, team orchestration allows you to automatically create teams and assign specific roles such as developer, CSS designer, and tester to different AI agents, distributing tasks based on your project's requirements.

How does inter-agent communication work in a multi-agent workflow automation setup?▼

Inter-agent communication works through an asynchronous inbox system, enabling AI agents to coordinate decision-making and delegate tasks using natural language interaction within the orchestrated workflow.

Does multi-agent orchestration automatically approve commands or require human review?▼

Multi-agent orchestration uses an automated approval system with a multi-layered decision engine to automatically approve low-risk commands while flagging high-risk ones for human review.

What AI agents can I manage with this multi-agent collaboration framework?▼

You can manage various AI agents such as Claude Code, Codex, and Gemini, running each within independent tmux sessions to enable parallel workstreams for your project.

When should I use multi-agent orchestration instead of a single AI agent?▼

You should use multi-agent orchestration for complex projects requiring parallel AI agent workstreams and decision-making, rather than simpler tasks that a single AI agent can handle independently.

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