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orchestrating-swarms

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

Updated Jun 28, 2022
Search Tags:#collaboration#workflow orchestration#task automation#ai agents#multi-agent#swarm
One-click install
npx skills add https://github.com/pcasaretto/nix-home --skill orchestrating-swarms-pcasaretto
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/pcasaretto/nix-home/tree/main/home-manager/modules/common/pi/compound-engineering/skills/orchestrating-swarms
Command: npx skills add https://github.com/pcasaretto/nix-home --skill orchestrating-swarms-pcasaretto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the coordination of multiple AI agents (swarms) to tackle complex, multi-step tasks that are beyond the scope of a single agent.

Core Features & Use Cases

  • Multi-Agent Coordination: Manages teams of agents, assigning tasks and facilitating communication.
  • Task Management: Utilizes a robust task system with dependencies for creating, tracking, and completing work items.
  • Use Case: Automate a software development pipeline where one agent researches, another implements, and a third tests, with dependencies ensuring sequential execution.

Quick Start

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

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 complex workflows?▼

Multi-agent coordination is managed by orchestrating swarms using Claude Code's TeammateTool and Task system, which assigns tasks and facilitates agent communication for complex workflows.

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

A multi-agent swarm is a team of AI agents tackling multi-step tasks beyond a single agent's scope. It is needed for divide-and-conquer patterns like parallel code reviews or pipeline workflows with dependencies.

How do I create a task queue with dependencies for AI agents?▼

Create task queues with dependencies by utilizing the robust task management system to define, track, and complete work items sequentially, ensuring agents execute pipeline workflows in the correct order.

Can I run parallel code reviews using a self-organizing task queue?▼

Yes, you can run parallel code reviews by building self-organizing task queues. The system coordinates multiple agents via JSON messages and task management primitives to divide and conquer work.

Do I need to understand JSON messages to use multi-agent workflow orchestration?▼

Yes, understanding agent communication via JSON messages and task management primitives is required to effectively orchestrate multi-agent swarms and coordinate complex workflows.

What are the limitations of using divide-and-conquer patterns for AI agents?▼

The divide-and-conquer approach for AI agents requires understanding JSON message communication and task management primitives, making it complex for tasks that do not benefit from multi-step, parallel execution.

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