Which AI providers are supported by this skill?

The skill leverages AI SDK v5 to coordinate agents across various providers including Anthropic, OpenAI, and Google.

Can I use this for production-grade workflows?

Yes, it is designed to set up robust, scalable multi-agent architectures suitable for production use cases like automated support systems or development pipelines.

Do I need to manually define handoff rules?

The skill helps you automate the definition of handoff rules and orchestration configurations based on your specific project requirements.

What is the primary purpose of the AI SDK Agents skill?

It enables Claude to create and manage systems where multiple specialized AI agents collaborate on complex tasks through intelligent routing and handoffs.

Multi-Agent Orchestrator

Name: Multi-Agent Orchestrator
Author: jeremylongshore

byjeremylongshore

•

884

データサイエンスとML

Orchestrates complex multi-agent systems and intelligent task routing using the Vercel AI SDK v5.

概要

This skill empowers Claude to design and deploy sophisticated multi-agent architectures using the Vercel AI SDK v5. It facilitates seamless coordination between specialized agents across multiple AI providers like Anthropic, OpenAI, and Google, enabling developers to build automated workflows with intelligent handoff rules and task delegation. Whether you are building a collaborative code generation pipeline or a multi-tiered customer support system, this skill provides the structure and routing logic necessary for agents to work together efficiently within a single project.

主な機能

Specialized agent creation with custom prompts and tool definitions
Intelligent agent handoff rules and task routing configurations
Automated multi-step workflow orchestration for complex tasks
884 GitHub stars
Multi-agent system project initialization and structure setup
Cross-provider coordination (OpenAI, Anthropic, Google)

ユースケース

Implementing an intelligent customer support routing system based on inquiry topic
Coordinating specialized agents for large-scale data analysis and reporting
Building a multi-stage code development pipeline (Architect to Coder to Tester)

概要

主な機能

Specialized agent creation with custom prompts and tool definitions
Intelligent agent handoff rules and task routing configurations
Automated multi-step workflow orchestration for complex tasks
884 GitHub stars
Multi-agent system project initialization and structure setup
Cross-provider coordination (OpenAI, Anthropic, Google)

ユースケース

Implementing an intelligent customer support routing system based on inquiry topic
Coordinating specialized agents for large-scale data analysis and reporting
Building a multi-stage code development pipeline (Architect to Coder to Tester)