orchestrating-swarms

Coordinate multiple Claude Code agents to execute code-review tasks in parallel.

2|Updated Feb 9, 2026

Search Tags:#multi-agent #parallel #swarm #orchestrate #teammate #task-system

Ready to run

npx skills add https://github.com/SiTaggart/.agents --skill orchestrating-swarms-sitaggart

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/SiTaggart/.agents/tree/main/skills/orchestrating-swarms
Command: npx skills add https://github.com/SiTaggart/.agents --skill orchestrating-swarms-sitaggart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple Claude Code agents for code-review tasks used to require manual juggling of teammates, tasks, and workflows, resulting in slower feedback loops and higher risk of miscommunication.

Core Features & Use Cases

Parallel orchestration of multiple agents to run code reviews simultaneously and compress delivery time.
Dependency-aware task pipelines that automatically unlock downstream work when predecessors finish.
Self-organizing teams with spawn, coordination, and graceful shutdown across review cycles.

Quick Start

Create a code-review swarm that coordinates multiple teammates to run parallel tasks and manage dependencies.

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 Claude Code agents for parallel code reviews?▼

A multi-agent swarm orchestrates parallel code reviews by defining Leader, Teammates, and Task roles with dedicated inboxes, allowing multiple agents to process review tasks simultaneously and compress overall delivery time.

How do dependency-aware task pipelines work in a multi-agent orchestration system?▼

Dependency-aware task pipelines automatically unlock downstream work when predecessor tasks finish, using self-organizing teams and APIs to manage task queues so parallel agents execute sequentially only when their dependencies are resolved.

Can I use a multi-agent swarm to run parallel analysis on large codebases?▼

Yes, multi-agent swarms are designed for parallel analysis on large codebases, using self-organizing teams that spawn, coordinate, and gracefully shut down across review cycles to handle high-volume workloads efficiently.

What is the best way to structure roles for parallel agent orchestration?▼

The best way to structure parallel agent orchestration is by defining explicit roles—Leader, Teammates, Tasks, and Inboxes—managed via APIs like TaskCreate and Teammate to establish clear communication and task boundaries.

Do I need external dependencies to orchestrate parallel code-review tasks?▼

No external dependencies are required to orchestrate parallel code-review tasks; the system relies on built-in roles and APIs like TaskCreate, TaskUpdate, and Teammate to manage environment details and spawn backends natively.

Why use a self-organizing task queue for multi-agent code reviews instead of manual juggling?▼

A self-organizing task queue eliminates manual juggling of teammates and workflows, reducing miscommunication risk and accelerating feedback loops by automatically coordinating parallel agents and managing graceful shutdowns across review cycles.