orchestrating-swarms

Orchestrate multi-agent swarms with Claude Code's TeammateTool and Task system.

Updated Feb 19, 2026

Search Tags:#collaboration #task management #ai agents #multi-agent #orchestration #swarm

Ready to run

npx skills add https://github.com/sustinbebustin/.dotfiles --skill orchestrating-swarms-sustinbebustin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/sustinbebustin/.dotfiles/tree/main/home/.claude/skills/orchestrating-swarms
Command: npx skills add https://github.com/sustinbebustin/.dotfiles --skill orchestrating-swarms-sustinbebustin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex coordination of multiple AI agents, enabling sophisticated workflows and collaborative problem-solving.

Core Features & Use Cases

Team Management: Create, manage, and communicate within teams of AI agents.
Task Orchestration: Define, assign, and track tasks with dependencies for complex pipelines.
Parallel Processing: Distribute work across multiple agents for efficient execution.
Use Case: Coordinate a team of specialized agents to perform a full code review, with each agent focusing on security, performance, or code simplicity, and then synthesizing their findings.

Quick Start

Use the orchestrating-swarms skill to create a new team named 'code-review' and spawn a 'security' agent to review code.

Frequently Asked Questions about orchestrating-swarms

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

FAQPage Schema

How do I coordinate multiple AI agents for parallel code reviews?▼

Multi-agent orchestration coordinates specialized AI agents to perform parallel code reviews by assigning each agent a focus area like security or performance, then synthesizing their findings into a unified report.

What is multi-agent swarm orchestration and when should I use it?▼

Multi-agent swarm orchestration manages multiple AI agents using a task system to coordinate complex workflows. You should use it for tasks benefiting from divide-and-conquer patterns, such as creating pipeline workflows with dependencies.

How do I build a self-organizing task queue with dependencies for AI agents?▼

Building a self-organizing task queue requires defining tasks with dependencies and distributing work across multiple agents. This parallel processing approach allows agents to execute complex pipelines efficiently.

Do I need to understand agent primitives to manage AI team dynamics?▼

Yes, managing AI team dynamics requires an understanding of agent primitives, team dynamics, and task management within your framework to effectively create, manage, and communicate within teams of AI agents.

What's the best way to manage a team of specialized AI agents for a complex pipeline?▼

The best way to manage specialized AI agents is using an orchestration system to define, assign, and track tasks with dependencies. This enables parallel processing and efficient execution across the team.

Why use divide-and-conquer patterns for multi-agent task management?▼

Divide-and-conquer patterns allow you to distribute work across multiple agents for parallel processing. This approach streamlines complex coordination and enables sophisticated collaborative problem-solving workflows.