How does this skill manage agent handoffs?

It defines specific handoff rules and orchestration logic to transfer control between specialized agents based on task requirements and output analysis.

Can I use different AI providers with this skill?

Yes, it leverages the AI SDK v5 to coordinate workflows across multiple providers including Anthropic, OpenAI, and Google.

Is this skill compatible with existing Claude Code plugins?

Yes, it is designed to integrate seamlessly with other plugins for functions like code generation, data analysis, and external API interactions.

What is the primary technology used for orchestration?

The skill utilizes the AI SDK v5 framework to provide a robust, flexible, and scalable environment for agent management.

When should I use a multi-agent system?

Multi-agent systems are ideal for complex tasks that require specialized expertise in different domains, such as a software development lifecycle or multi-topic support.

Multi-Agent Systems Orchestrator

Name: Multi-Agent Systems Orchestrator
Author: BbgnsurfTech

byBbgnsurfTech

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Data Science & ML

Orchestrates complex multi-agent workflows using AI SDK v5 to manage handoffs, intelligent routing, and cross-provider coordination.

About

This skill empowers Claude to design and manage sophisticated multi-agent architectures by leveraging the AI SDK v5. It streamlines the creation of specialized agents—complete with custom system prompts and tool access—while defining precise handoff rules and intelligent routing logic. Whether you are building a sequential code generation pipeline or a dynamic customer support system, this skill provides the structure and coordination necessary for seamless collaboration between multiple AI models and providers like Anthropic, OpenAI, and Google.

Key Features

Automated multi-agent project initialization and architecture setup
Specialized agent creation with custom system prompts and tool definitions
Integration with AI SDK v5 for robust cross-provider compatibility
Intelligent task routing and coordination across different AI providers
3 GitHub stars
Seamless agent handoff mechanisms and workflow management

Use Cases

Developing a multi-stage software engineering pipeline with architect, coder, and tester agents
Building an intelligent customer support router that directs queries to domain-specific agents
Coordinating complex research tasks that require different LLMs for specialized analysis

About

Key Features

Automated multi-agent project initialization and architecture setup
Specialized agent creation with custom system prompts and tool definitions
Integration with AI SDK v5 for robust cross-provider compatibility
Intelligent task routing and coordination across different AI providers
3 GitHub stars
Seamless agent handoff mechanisms and workflow management

Use Cases

Developing a multi-stage software engineering pipeline with architect, coder, and tester agents
Building an intelligent customer support router that directs queries to domain-specific agents
Coordinating complex research tasks that require different LLMs for specialized analysis