orchestrating-swarms

Coordinate multiple autonomous AI agents for multi-step software engineering workflows.

9|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/sylvanding/omelette --skill orchestrating-swarms-sylvanding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestrating-swarms
Source: https://github.com/sylvanding/omelette/tree/main/.claude/skills/orchestrating-swarms
Command: npx skills add https://github.com/sylvanding/omelette --skill orchestrating-swarms-sylvanding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually coordinating multiple AI agents to tackle complex, multi-step workflows is inefficient and prone to miscommunication. This Skill provides a complete, native framework for orchestrating persistent multi-agent swarms using Claude Code's built-in tools, removing coordination overhead and letting you focus on high-level task outcomes.

Core Features & Use Cases

  • Persistent Teammate Management: Spawn and manage long-running agent team members that communicate via shared inboxes for ongoing collaborative work across extended sessions.
  • Dependent Task Pipelines: Build sequential task workflows that automatically unblock as prior stages complete, perfect for end-to-end cycles like research → planning → implementation → testing.
  • Parallel Specialist Workflows: Run multiple specialized agents (security reviewers, performance analysts, code simplicity checkers) simultaneously to accelerate code reviews, audits, and large-scale analysis tasks.
  • Real-World Use Case: For example, use this Skill to run a full code review of a new authentication feature by spawning a security sentinel, performance oracle, and simplicity reviewer in parallel, then automatically synthesize their findings into a unified report.

Quick Start

Use the orchestrating-swarms skill to run a parallel code review of the latest pull request, spawning security, performance, and simplicity specialist agents to report their findings directly to your inbox.

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 parallel code reviews?

Multi-agent orchestration coordinates multiple autonomous AI agents to complete complex parallel workflows like code reviews by spawning specialized agents simultaneously. It removes manual coordination overhead by using shared task queues and inter-agent messaging to synthesize findings into a unified report.

What is a dependent task pipeline for multi-step software engineering workflows?

A dependent task pipeline is a sequential multi-agent workflow where stages automatically unblock as prior stages complete. It is perfect for end-to-end software engineering cycles like research, planning, implementation, and testing by leveraging shared task queues with dependencies.

Can I use Claude Code to manage persistent multi-agent swarms across extended sessions?

Yes, you can use Claude Code's TeammateTool and Task system to manage persistent multi-agent swarms across extended sessions. It supports long-running team membership, shared inboxes, and inter-agent messaging for ongoing collaborative software engineering work.

How do I run parallel specialist workflows for large-scale code analysis?

You run parallel specialist workflows for large-scale code analysis by spawning multiple specialized autonomous agents, such as performance analysts and simplicity checkers, simultaneously. These agents work concurrently to accelerate audits and report findings directly to a shared inbox.

Does orchestrating swarms work for coordinated multi-file refactoring?

Yes, orchestrating swarms works for coordinated multi-file refactoring by applying a native framework to coordinate autonomous AI agents. It handles complex multi-step workflows that exceed single-agent capacity using shared task queues with dependencies.