What is a multi-agent system?

It is a framework where multiple specialized AI agents collaborate, each handling specific parts of a task to improve overall accuracy and efficiency compared to a single model.

Do I need the Vercel AI SDK to use this skill?

Yes, this skill is specifically designed to scaffold and configure projects that leverage the orchestration patterns found in AI SDK v5.

Can I define custom tools for each agent?

Absolutely. The skill facilitates the creation of specialized agents, each with their own unique system prompts and specific tool definitions suited to their role.

Does this skill work with different AI providers?

Yes, it utilizes the AI SDK v5 to coordinate agents across multiple providers including Anthropic, OpenAI, and Google, allowing you to use the best model for each specific sub-task.

How do agent handoffs work in this skill?

Handoffs occur when one agent transfers control of a task to another agent based on predefined routing rules, topic detection, or specific completion triggers.

AI Agent System Orchestrator

Name: AI Agent System Orchestrator
Author: BbgnsurfTech

byBbgnsurfTech

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Data Science & ML

Orchestrates complex multi-agent systems using the AI SDK v5 to facilitate intelligent task routing and seamless agent handoffs.

About

This skill enables Claude to design, implement, and manage sophisticated multi-agent architectures leveraging the Vercel AI SDK v5. It automates the creation of specialized agents with distinct system prompts and tool access, while configuring intelligent routing logic and handoff protocols between models from providers like Anthropic, OpenAI, and Google. Whether you are building an automated software development lifecycle or a complex customer support triage system, this skill provides the structure and orchestration rules necessary for reliable agent coordination and modular AI workflows.

Key Features

Automated setup of specialized agent roles and system prompts
3 GitHub stars
AI SDK v5 integration for robust multi-agent orchestration
Project initialization with modular agent file structures
Intelligent routing and conditional handoff logic between agents
Cross-provider compatibility including Anthropic, OpenAI, and Google

Use Cases

Building a sequential code generation pipeline (Architect -> Coder -> Reviewer)
Creating intelligent customer support routing based on inquiry topics
Developing multi-model research workflows that delegate tasks to specialized LLMs

About

Key Features

Automated setup of specialized agent roles and system prompts
3 GitHub stars
AI SDK v5 integration for robust multi-agent orchestration
Project initialization with modular agent file structures
Intelligent routing and conditional handoff logic between agents
Cross-provider compatibility including Anthropic, OpenAI, and Google

Use Cases

Building a sequential code generation pipeline (Architect -> Coder -> Reviewer)
Creating intelligent customer support routing based on inquiry topics
Developing multi-model research workflows that delegate tasks to specialized LLMs