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Moliboy5000
Moliboy5000COMMUNITY
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team

Orchestrate multiple AI agents with a shared task list and managed dependencies.

Updated Mar 14, 2026
Search Tags:#automation#workflow#collaboration#task management#agent#distributed systems
One-click install
npx skills add https://github.com/Moliboy5000/.claude --skill team-moliboy5000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: team
Source: https://github.com/Moliboy5000/.claude/tree/main/plugins/cache/omc/oh-my-claudecode/4.8.2/skills/team
Command: npx skills add https://github.com/Moliboy5000/.claude --skill team-moliboy5000

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables the creation and management of multiple AI agents working collaboratively on a complex task, ensuring efficient task decomposition, execution, and monitoring.

Core Features & Use Cases

  • N Coordinated Agents: Spawn multiple agents to tackle a large task simultaneously.
  • Shared Task List: Agents work from a common, managed list of subtasks.
  • Dependency Management: Handles dependencies between subtasks for ordered execution.
  • Use Case: Refactor a large codebase by assigning different modules to different agents, with dependencies managed automatically.

Quick Start

Use the team skill to spawn 5 executor agents to fix all TypeScript errors across the project.

Frequently Asked Questions about team

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

FAQPage Schema
How do I coordinate multiple AI agents to work on a shared task list?▼

Multi-agent collaboration works by decomposing complex tasks into a shared task list with managed dependencies. Distributed agents execute subtasks collaboratively through stage-based pipelines, ensuring ordered execution and specialized task completion.

What is the best way to manage dependencies between subtasks for distributed agents?▼

Managing subtask dependencies requires a shared task list that automatically controls execution order. This ensures distributed agents wait for prerequisite tasks to finish before executing dependent subtasks in a structured stage-based pipeline.

Can I spawn specialized agents for different stages of a task execution pipeline?▼

You can spawn specialized agents for different stages of a task execution pipeline. The system supports stage-based execution pipelines including plan, exec, verify, and fix stages, allowing agents to focus on specific execution phases.

How do I resume or cancel a complex task managed by multiple agents?▼

You resume or cancel tasks managed by multiple agents through robust state persistence. This feature saves the execution state of the shared task list, allowing you to halt workflows and resume them later without losing progress.

Does multi-agent task management work for refactoring a large codebase?▼

Multi-agent task management works for refactoring a large codebase by assigning different modules to different agents. Dependencies between the refactoring subtasks are managed automatically, ensuring coordinated execution across the distributed system.

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