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orchestrating-swarms

Coordinate multi-agent workflows and task queues using Claude's TeammateTool and Task system.

5|Updated Feb 12, 2026
Search Tags:#automation#workflow#multi-agent#orchestration#ai-integration#task-system#teammate-tool
One-click install
npx skills add https://github.com/agusmdev/fullstack-ai-template --skill orchestrating-swarms-agusmdev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/agusmdev/fullstack-ai-template/tree/main/.claude/skills/swarm-orchestration
Command: npx skills add https://github.com/agusmdev/fullstack-ai-template --skill orchestrating-swarms-agusmdev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple Claude Code agents across a team enables parallel work, faster insight, and scalable automation by distributing tasks, messages, and workflows.

Core Features & Use Cases

  • Multi-agent team orchestration using TeammateTool and Task system for lead/teammate roles, message-based collaboration, and dependency-driven pipelines.
  • Supports parallel reviews, pipeline workflows with dependencies, and self-organizing task queues for scalable development and review processes.
  • Real-world scenario: orchestrate a feature rollout by coordinating code analysis, testing, and documentation tasks across several agents with auto-unblocking and shutdown sequences.

Quick Start

Launch a multi-agent swarm by creating a team and spawning teammates to start parallel tasks.

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 across parallel tasks in Claude?▼

Multi-agent workflows are coordinated by defining Leader and Teammate roles, a shared Task List with dependencies, and an Inbox-based messaging model to distribute and track parallel work across agents.

Can I run pipeline orchestration with dependencies using Claude's Task system?▼

Pipeline orchestration with dependencies is supported by defining a shared Task List where agents execute sequential stages, auto-unblock downstream tasks, and trigger shutdown sequences upon completion.

What is the best way to orchestrate parallel code reviews with multiple AI agents?▼

Parallel code reviews are orchestrated by spawning multiple Teammate agents to analyze different code segments simultaneously, coordinating results back to a Leader agent via Inbox-based messaging for consolidated feedback.

Does multi-agent orchestration support tmux and iTerm2 backend spawn options?▼

Multi-agent orchestration supports in-process, tmux, and iTerm2 backend spawn options, allowing you to launch and manage distributed agent swarms across different terminal environments for scalable task execution.

How does Inbox-based messaging work for self-organizing task queues?▼

Inbox-based messaging enables self-organizing task queues by allowing Leader and Teammate agents to send messages, auto-unblock dependent tasks, and coordinate execution sequences without manual intervention.

When should I not use a multi-agent swarm for task execution?▼

A multi-agent swarm should not be used for simple, linear tasks lacking dependencies or parallelizable components, as the overhead of coordinating Leader, Teammate roles, and message passing outweighs the automation benefits.

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