orchestrating-swarms

Orchestrate multi-agent swarms with teams, tasks, and structured messaging.

Updated Aug 23, 2026

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

Ready to run

npx skills add https://github.com/adamfeldman/compound-workflows --skill orchestrating-swarms-adamfeldman

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/adamfeldman/compound-workflows/tree/main/plugins/compound-workflows/skills/orchestrating-swarms
Command: npx skills add https://github.com/adamfeldman/compound-workflows --skill orchestrating-swarms-adamfeldman

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables sophisticated coordination of multiple AI agents (swarms) to tackle complex tasks that are beyond the scope of a single agent, automating parallel workflows and task management.

Core Features & Use Cases

Team Management: Create, join, and manage teams of agents.
Task Orchestration: Define, assign, and track tasks with dependencies using a shared task list.
Inter-Agent Communication: Facilitate structured messaging between agents via inboxes.
Use Case: Coordinate a team of specialized agents (e.g., a security reviewer, a performance analyst, and a code simplicity expert) to simultaneously review a pull request, with each agent reporting findings to a central leader.

Quick Start

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

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 to work on a complex task together?▼

Multi-agent orchestration coordinates teams of AI agents by managing tasks, shared task lists, and structured inter-agent communication. You can create teams, assign specialized roles, and facilitate parallel workflows or sequential pipelines for complex collaborative automation.

What is a multi-agent swarm and when do I need it for my workflows?▼

A multi-agent swarm is a team of specialized AI agents collaborating on tasks beyond a single agent's capacity. You need swarm orchestration when automating parallel workflows, sequential pipelines, or self-organizing teams that require structured messaging and inter-agent communication.

How do I set up a team of AI agents for parallel code review?▼

To set up a parallel code review team, create a new team and spawn specialized teammate agents such as a security reviewer and performance analyst. Each agent reviews the pull request simultaneously and reports findings to a central leader via structured inbox messages.

Can I manage task dependencies and inter-agent communication in a multi-agent system?▼

Yes, multi-agent orchestration supports defining, assigning, and tracking tasks with dependencies using a shared task list. Inter-agent communication is facilitated through structured messages delivered to agent inboxes, enabling coordinated task lifecycle management.

What do I need to know before orchestrating self-organizing worker swarms?▼

Orchestrating self-organizing worker swarms requires an understanding of agent primitives, team dynamics, and task lifecycle management. You must be familiar with structuring inter-agent communication and managing complex collaborative AI workflows before implementation.

Best way to manage a sequential pipeline of tasks across multiple AI agents?▼

The best way to manage a sequential pipeline is using a structured task list system to define, assign, and track tasks with dependencies. This orchestration approach manages the task lifecycle and routes structured messages between agents as they complete sequential steps.