---
name: orchestrating-multi-agent-systems-15b5ee50349f
description: |
  Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers.
  Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination.
  Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
  
allowed-tools: Read, Write, Edit, Grep, Glob, Bash(npm:*)
version: 1.0.0
author: Jeremy Longshore <jeremy@intentsolutions.io>
license: MIT
---

# Orchestrating Multi Agent Systems

## Overview

This skill provides automated assistance for the described functionality.

## Prerequisites

Before using this skill, ensure you have:
- Node.js 18+ installed for TypeScript agent development
- AI SDK v5 package installed (`npm install ai`)
- API keys for AI providers (OpenAI, Anthropic, Google, etc.)
- Understanding of agent-based architecture patterns
- TypeScript knowledge for agent implementation
- Project directory structure for multi-agent systems

## Instructions

1. Create project directory with necessary subdirectories
2. Initialize npm project with TypeScript configuration
3. Install AI SDK v5 and provider-specific packages
4. Set up configuration files for agent orchestration
1. Write agent initialization code with AI SDK
2. Configure system prompts for agent behavior
3. Define tool functions for agent capabilities
4. Implement handoff rules for inter-agent delegation


See `{baseDir}/references/implementation.md` for detailed implementation guide.

## Output

- TypeScript files with AI SDK v5 integration
- System prompts tailored to each agent role
- Tool definitions and implementations
- Handoff rules and coordination logic
- Workflow definitions for task sequences
- Routing rules for intelligent task distribution

## Error Handling

See `{baseDir}/references/errors.md` for comprehensive error handling.

## Examples

See `{baseDir}/references/examples.md` for detailed examples.

## Resources

- AI SDK v5 official documentation for agent creation
- Provider-specific integration guides (OpenAI, Anthropic, Google)
- Tool definition and implementation examples
- Handoff and routing pattern references
- Coordinator-worker pattern for task distribution


---
Source attribution: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/ai-sdk-agents/skills/orchestrating-multi-agent-systems/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Jeremy Longshore

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Dicklesworthstone
Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/ai-ml/ai-sdk-agents/skills/orchestrating-multi-agent-systems/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management
Roles: Backend Developer, Data Engineer, ML / AI Engineer, Product Manager, Technical Product Manager
Specialties: Backend
Tools: Ai Sdk V5, Anthropic, Google, Openai
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: ffa7f9bc1dad36baa59dfa03ff1cd938ca93ec20fc13c83719433132d94ba441