How does this skill handle communication between agents?

It implements specialized routing and handoff configurations that allow agents to intelligently delegate tasks to one another based on defined rules.

Can I use custom tools with individual agents?

Yes, the skill is designed to allow unique tool definitions for each agent, ensuring specialized agents only have access to the capabilities they need.

Which AI providers are supported by this skill?

This skill supports all major providers compatible with the Vercel AI SDK v5, including Anthropic, OpenAI, and Google Gemini.

What is the recommended project structure for these agents?

The skill generates a modular TypeScript structure separating agents, orchestration logic, shared tools, and configuration files for maintainability.

Multi-Agent System Orchestrator

Name: Multi-Agent System Orchestrator
Author: BbgnsurfTech

byBbgnsurfTech

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Data Science & ML

Orchestrates sophisticated multi-agent systems with intelligent routing, handoffs, and collaborative workflows across AI providers.

About

This skill enables developers to build complex AI applications by coordinating specialized agents that collaborate on intricate tasks. Leveraging the Vercel AI SDK v5, it provides standardized templates for setting up agent roles, defining system prompts, and implementing robust handoff mechanisms. Whether you need a coordinator-worker architecture or a sequential processing pipeline, this skill simplifies the creation of the necessary TypeScript infrastructure, routing logic, and state management required for seamless inter-agent communication.

Key Features

Automated multi-agent project structure generation
Intelligent agent routing and handoff logic implementation
Role-specific system prompt and tool configuration
Support for cross-provider workflows (Anthropic, OpenAI, Google)
1 GitHub stars
Built-in error handling for circular dependencies and workflow deadlocks

Use Cases

Building code generation pipelines with specialized architect, coder, and reviewer agents
Developing intelligent customer support systems with automated triage and domain-specific routing
Creating multi-step research and analysis workflows that delegate data collection and synthesis

About

Key Features

Automated multi-agent project structure generation
Intelligent agent routing and handoff logic implementation
Role-specific system prompt and tool configuration
Support for cross-provider workflows (Anthropic, OpenAI, Google)
1 GitHub stars
Built-in error handling for circular dependencies and workflow deadlocks

Use Cases

Building code generation pipelines with specialized architect, coder, and reviewer agents
Developing intelligent customer support systems with automated triage and domain-specific routing
Creating multi-step research and analysis workflows that delegate data collection and synthesis