home / skills / jeremylongshore / claude-code-plugins-plus-skills / ai-sdk-agents

This skill helps you build and orchestrate multi-agent systems with intelligent routing and handoffs across providers.

npx playbooks add skill jeremylongshore/claude-code-plugins-plus-skills --skill ai-sdk-agents

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: orchestrating-multi-agent-systems
description: |
  This skill enables Claude to orchestrate multi-agent systems using the AI SDK v5. It allows Claude to set up agent handoffs, intelligent routing, and coordinated workflows across different AI providers like OpenAI, Anthropic, and Google. Use this skill when the user asks to create multi-agent systems, needs help with agent coordination, task routing, or wants to build complex workflows involving specialized agents. It is triggered by phrases like "multi-agent system", "agent orchestration", "agent handoff", "intelligent routing", or "coordinate agents".
---

## Overview

This skill empowers Claude to create and manage sophisticated multi-agent systems. It leverages the AI SDK v5 to facilitate agent collaboration, task delegation, and intelligent routing, enabling the creation of complex AI-powered workflows.

## How It Works

1. **Project Initialization**: The skill sets up a basic multi-agent project structure, including agent files and orchestration configurations.
2. **Agent Creation**: It facilitates the creation of specialized agents with custom system prompts, tool definitions, and handoff rules.
3. **Orchestration Configuration**: It configures the agent orchestration workflow, defining how agents interact and pass tasks to each other.

## When to Use This Skill

This skill activates when you need to:
- Create a new multi-agent system from scratch.
- Orchestrate existing agents to perform a complex task.
- Define handoff rules between agents.
- Route tasks intelligently to the most appropriate agent.
- Coordinate a workflow involving multiple LLMs.

## Examples

### Example 1: Building a Code Generation Pipeline

User request: "Set up a multi-agent system for code generation with an architect, coder, tester, reviewer, and documenter."

The skill will:
1. Initialize a multi-agent project with the specified agents.
2. Create individual agent files (architect.ts, coder.ts, etc.) with relevant system prompts and tool access.
3. Configure an orchestration workflow to pass tasks between the agents in the order: Architect -> Coder -> Tester -> Reviewer -> Documenter.

### Example 2: Intelligent Routing for Customer Support

User request: "Create a multi-agent system for customer support that routes inquiries to the appropriate agent based on the topic."

The skill will:
1. Initialize a multi-agent project with a coordinator agent and specialized support agents (e.g., billing, technical support, sales).
2. Configure the coordinator agent with routing rules based on topic classification.
3. Implement handoff mechanisms for agents to transfer inquiries if needed.

## Best Practices

- **Agent Specialization**: Design agents with specific expertise and limited scope for better performance.
- **Clear Handoff Rules**: Define clear and unambiguous handoff rules to avoid confusion and circular dependencies.
- **Comprehensive Testing**: Thoroughly test the multi-agent system to ensure proper coordination and task completion.

## Integration

This skill integrates seamlessly with other Claude Code plugins, allowing you to combine multi-agent orchestration with other functionalities like code generation, data analysis, and external API integrations. It leverages the AI SDK v5 for robust and flexible agent management.

Overview

This skill enables Claude to design, configure, and run multi-agent systems using the AI SDK v5. It helps create specialized agents, define handoff and routing rules, and orchestrate coordinated workflows across providers like OpenAI, Anthropic, and Google. Use it to simplify complex task delegation and ensure reliable agent collaboration.

How this skill works

The skill initializes a multi-agent project structure with agent files and orchestration configs. It helps craft specialized agents by setting system prompts, tools, and capabilities for each role. It then wires an orchestration layer that defines routing, handoffs, and execution order so tasks flow between agents predictably.

When to use it

  • When building a multi-agent system from scratch
  • When coordinating existing agents to complete complex workflows
  • When you need intelligent routing or topic-based task assignment
  • When defining clear handoff rules to avoid circular workflows
  • When integrating multiple LLM providers in one coordinated pipeline

Best practices

  • Design agents with narrow, well-documented scopes to reduce overlap
  • Specify explicit, ordered handoff rules to prevent loops and ambiguity
  • Implement a coordinator or router agent for topic-based routing
  • Add observability and logging to trace task flow and failures
  • Run comprehensive end-to-end tests and staged rollouts before production

Example use cases

  • Code generation pipeline: architect → coder → tester → reviewer → documenter with automated handoffs
  • Customer support routing: coordinator classifies issues and routes to billing, technical, or sales agents
  • Data workflow: extractor agent pulls data, processor agent transforms it, analyzer agent generates insights
  • Hybrid-provider orchestration: use provider-specific agents for specialized models and route tasks based on cost or capability
  • Automation control: chain monitoring, decision, and executor agents for safe runbooks

FAQ

Can this skill coordinate agents across different AI providers?

Yes. It supports configuring agents that call different providers and routes tasks based on policy, capability, or cost.

How are handoffs prevented from creating circular dependencies?

The skill encourages explicit handoff rules, ordered workflows, and a coordinator agent. It also recommends testing and observability to detect cycles early.