How do agents pass information to one another?

The skill configures orchestration rules and handoff mechanisms that allow agents to transfer context and task control based on the logic you define.

What triggers this multi-agent skill?

It is triggered by phrases like 'agent handoff', 'multi-agent system', 'agent orchestration', or when you ask to coordinate specialized AI tasks.

What is a multi-agent system in Claude Code?

It is a system where multiple specialized AI agents collaborate, with each agent handling specific parts of a complex task for higher accuracy and efficiency.

Is this suitable for production-grade applications?

Yes, it provides a standardized framework using the AI SDK v5 to build maintainable and scalable agent-based architectures.

Does this skill support models other than Claude?

Yes, it utilizes the AI SDK v5 to orchestrate workflows that can involve models from Anthropic, OpenAI, and Google.

Multi-Agent Orchestrator

Name: Multi-Agent Orchestrator
Author: BbgnsurfTech

byBbgnsurfTech

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Productivity & Workflow

Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 for coordinated workflows across multiple AI providers.

About

This skill empowers Claude to design and implement sophisticated multi-agent architectures by leveraging AI SDK v5 for seamless agent handoffs and intelligent task delegation. It streamlines the creation of specialized agents with custom system prompts and tool access, allowing developers to build robust pipelines that coordinate different models—such as Claude, GPT-4o, and Gemini—into a single, cohesive workflow. It is ideal for complex software development pipelines, customer support routing, and automated data processing tasks that require specialized expertise at different stages.

Key Features

Automated multi-agent project structure initialization
Cross-provider integration supporting Anthropic, OpenAI, and Google models
Seamless agent handoff mechanisms for multi-step workflows
3 GitHub stars
Intelligent task routing based on specialized agent expertise
Custom tool definitions and system prompt configuration for specialized agents

Use Cases

Building automated code generation and review pipelines with architect, coder, and tester roles
Creating intelligent customer support systems that route tickets to specialized billing or technical agents
Coordinating complex data analysis workflows across different LLM providers for comparative insights

About

Key Features

Automated multi-agent project structure initialization
Cross-provider integration supporting Anthropic, OpenAI, and Google models
Seamless agent handoff mechanisms for multi-step workflows
3 GitHub stars
Intelligent task routing based on specialized agent expertise
Custom tool definitions and system prompt configuration for specialized agents

Use Cases

Building automated code generation and review pipelines with architect, coder, and tester roles
Creating intelligent customer support systems that route tickets to specialized billing or technical agents
Coordinating complex data analysis workflows across different LLM providers for comparative insights