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multi_agent_patterns

Design and implement multi-agent systems using architectural patterns and communication strategies.

43|11|Updated Dec 27, 2025
Search Tags:#workflow automation#design patterns#AI architecture#multi-agent#orchestration#agent collaboration
One-click install
npx skills add https://github.com/vuralserhat86/antigravity-agentic-skills --skill multi-agent-patterns-vuralserhat86
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi_agent_patterns
Source: https://github.com/vuralserhat86/antigravity-agentic-skills/tree/main/skills/multi_agent_patterns
Command: npx skills add https://github.com/vuralserhat86/antigravity-agentic-skills --skill multi-agent-patterns-vuralserhat86

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to designing, implementing, and orchestrating complex multi-agent systems, enabling AI agents to collaborate effectively on sophisticated tasks.

Core Features & Use Cases

  • Architectural Patterns: Explains key patterns like Orchestrator, Pipeline, Specialist, and Debate for structuring agent interactions.
  • Implementation Guidance: Offers code snippets for defining agents and orchestrators.
  • Communication Strategies: Details various communication patterns including Direct, Broadcast, Pub/Sub, Request/Response, and Event-driven.
  • Best Practices: Outlines essential principles for successful multi-agent system design, such as clear roles, minimal overlap, and fallback mechanisms.
  • Workflow Stages: Breaks down the development process into Role Definition, Interaction Pattern selection, and Execution & Output phases with validation checkpoints.
  • Use Case: Building a customer support system where one agent handles initial queries, another retrieves information from a knowledge base, and a third agent summarizes the resolution for the user.

Quick Start

Define the roles and interaction patterns for a multi-agent system to automate code generation and testing.

Frequently Asked Questions about multi_agent_patterns

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

FAQPage Schema
What are the main architectural patterns for multi-agent systems?▼

Multi-agent systems use Orchestrator, Pipeline, Specialist, and Debate patterns to structure agent interactions. These patterns define how agents collaborate, route tasks, and validate outputs during execution.

How do I design communication strategies for agent collaboration?▼

Agent collaboration relies on Direct, Broadcast, Pub/Sub, Request/Response, and Event-driven communication strategies. Choosing the right pattern ensures effective information sharing and workflow automation across agents.

What is the best way to build a multi-agent customer support workflow?▼

Build a multi-agent customer support workflow by assigning clear roles: one agent handles initial queries, another retrieves knowledge base information, and a third summarizes the resolution, ensuring minimal role overlap.

How do I define roles and routing logic for AI agents?▼

Define agent roles and routing logic by following workflow stages from role definition to interaction pattern selection and execution. Clear roles, minimal overlap, and fallback mechanisms are essential best practices.

Does this multi-agent orchestration approach work with AutoGen and CrewAI?▼

Yes, the multi-agent orchestration patterns and implementation guidance reference AutoGen and CrewAI documentation, providing code snippets for defining agents and orchestrators compatible with these frameworks.

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