What is the primary benefit of the ai-sdk-agents skill?

It allows you to build complex workflows where specialized AI agents collaborate, ensuring tasks are handled by the most qualified model or prompt configuration.

Does this skill handle the code for agent handoffs?

Yes, it helps define the rules and structure for handoffs, enabling agents to transfer control to one another based on specific task requirements and logic.

How does Claude trigger this multi-agent skill?

The skill is activated by phrases such as 'multi-agent system', 'agent orchestration', 'agent handoff', or 'coordinate agents' during your chat session.

Which AI providers are supported by this skill?

Since it leverages AI SDK v5, the skill supports orchestration across Anthropic, OpenAI, Google, and other major providers compatible with the SDK.

Can I use this for production-grade AI applications?

Absolutely. It follows AI SDK v5 patterns designed for robust, scalable agent coordination and production-ready intelligent routing.

Multi-Agent System Orchestrator

Name: Multi-Agent System Orchestrator
Author: jeremylongshore

byjeremylongshore

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883

Data Science & ML

Orchestrates complex multi-agent systems using AI SDK v5 to facilitate intelligent routing, agent handoffs, and coordinated AI workflows.

About

This skill empowers Claude to architect and manage sophisticated multi-agent ecosystems by leveraging the AI SDK v5 framework. It automates the setup of specialized agents—such as architects, coders, and reviewers—while defining precise handoff rules and intelligent task routing logic across various AI providers including Anthropic, OpenAI, and Google. Whether you are building an autonomous development pipeline or a complex customer support router, this skill provides the structure and best practices necessary to coordinate specialized AI entities for high-level task completion.

Key Features

Customizable system prompts and tool definitions for specialized agents
883 GitHub stars
Intelligent task routing based on agent specialization and expertise
Cross-provider orchestration support for multi-LLM workflows
Automated multi-agent project structure and agent file initialization
Seamless agent handoff and transfer logic configuration

Use Cases

Building autonomous code generation pipelines (Architect -> Coder -> Tester -> Reviewer)
Developing complex research workflows involving multiple specialized AI agents
Creating intelligent customer support systems that route inquiries based on topic

About

Key Features

Customizable system prompts and tool definitions for specialized agents
883 GitHub stars
Intelligent task routing based on agent specialization and expertise
Cross-provider orchestration support for multi-LLM workflows
Automated multi-agent project structure and agent file initialization
Seamless agent handoff and transfer logic configuration

Use Cases

Building autonomous code generation pipelines (Architect -> Coder -> Tester -> Reviewer)
Developing complex research workflows involving multiple specialized AI agents
Creating intelligent customer support systems that route inquiries based on topic