orchestrating-swarms

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

Updated Jul 18, 2026
One-click install
npx skills add https://github.com/arthrod/conejo-skills --skill orchestrating-swarms-arthrod
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/arthrod/conejo-skills/tree/main/skills/orchestrating-swarms
Command: npx skills add https://github.com/arthrod/conejo-skills --skill orchestrating-swarms-arthrod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of managing multiple AI agents, coordinating parallel tasks, and maintaining state across long-running, multi-step engineering workflows.

Core Features & Use Cases

  • Multi-Agent Coordination: Manage teams of specialized agents with defined roles, inboxes, and shared task queues.
  • Task Dependency Management: Automate complex pipelines where tasks are blocked by the completion of previous steps.
  • Use Case: Orchestrate a swarm where one agent researches best practices, another implements the feature, and a third performs a security audit, all while maintaining a shared task list and communication ledger.

Quick Start

Use the orchestrating-swarms skill to spawn a new team named feature-development and initialize a task queue for your current project.

Frequently Asked Questions about orchestrating-swarms

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

FAQPage Schema
How do I coordinate multi-agent workflows in Claude Code?

Task dependency management in multi-agent swarms is handled through automated pipelines that block tasks until previous steps finish. The system maintains shared JSON-based task lists to automatically track dependencies and unblock downstream agents.

Can I run parallel code reviews using a multi-agent swarm?

Yes, you can run parallel code reviews by orchestrating a team of specialized agents. The skill facilitates autonomous agent collaboration through shared inboxes, allowing one agent to implement features while another performs a security audit simultaneously.

How does shared state communication work between AI agents?

Shared state communication works through JSON-based inboxes and communication ledgers that agents read from and write to. This leader-teammate messaging pattern ensures all autonomous agents remain synchronized during long-running engineering workflows.

What is the best way to automate task unblocking in engineering pipelines?

The best way to automate task unblocking is through dependency-based task pipelines managed by a central orchestrator. The system monitors shared JSON task lists and automatically triggers downstream tasks when prerequisite steps are completed.

Do I need external dependencies to orchestrate autonomous agent collaboration?

No external dependencies are required. The skill relies entirely on Claude Code's native TeammateTool and Task system to facilitate autonomous agent collaboration, managing roles and shared task queues natively within your environment.