swarm-orchestration

Orchestrate multi-agent swarms with sequential, concurrent, and hierarchical patterns.

Updated Mar 7, 2026

Search Tags:#workflow #agent communication #multi-agent #orchestration #swarm #coordination

Ready to run

npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill swarm-orchestration-geargrindadmin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: swarm-orchestration
Source: https://github.com/Geargrindadmin/gg-agentic-harness/tree/main/.agent/skills/swarm-orchestration
Command: npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill swarm-orchestration-geargrindadmin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of coordinating multiple AI agents for sophisticated tasks by providing pre-defined architectural patterns and communication protocols.

Core Features & Use Cases

Diverse Orchestration Patterns: Supports Sequential, Concurrent, Mixture-of-Agents (MoA), GroupChat, Hierarchical, and SwarmRouter architectures.
Flexible Task Management: Enables linear task progression, parallel execution, dynamic routing, and collaborative problem-solving among agents.
Use Case: Coordinate a team of agents (e.g., a researcher, a planner, and an implementer) to sequentially develop a project plan, execute it, and then test the outcome.

Quick Start

Use the swarm-orchestration skill to set up a sequential workflow for task execution.

Frequently Asked Questions about swarm-orchestration

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

FAQPage Schema

What is multi-agent swarm orchestration and when do I need it for my AI tasks?▼

Multi-agent orchestration coordinates multiple AI agents for complex tasks using patterns like sequential, concurrent, and dynamic routing. You need it when single agents cannot handle distributed workflows or collaborative problem-solving.

How do I set up a sequential multi-agent workflow for project execution?▼

To set up sequential multi-agent workflows, apply the sequential architecture pattern to enable linear task progression. This coordinates agents like a researcher, planner, and implementer to execute tasks in a specific order.

Can I run concurrent AI agents and use dynamic task routing in the same workflow?▼

Yes, you can run concurrent agents for parallel execution and use the SwarmRouter architecture for dynamic task routing. These orchestration patterns facilitate flexible task management and advanced agent coordination within distributed environments.

What is the best way to coordinate a mixture of agents for collaborative problem solving?▼

The Mixture-of-Agents and GroupChat architectures are the best ways to coordinate collaborative problem solving. These patterns facilitate agent communication and workflow management for complex, distributed AI tasks.

Does hierarchical multi-agent orchestration require a specific framework or dependencies?▼

Hierarchical multi-agent orchestration uses pre-defined architectural patterns and communication protocols without requiring external dependencies. You can implement agent coordination and dynamic task routing directly using the provided reference components.