jeremylongshore

orchestrating-multi-agent-systems

@jeremylongshore/orchestrating-multi-agent-systems
jeremylongshore
1,004
123 forks
Updated 1/18/2026
View on GitHub

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".

Installation

$skills install @jeremylongshore/orchestrating-multi-agent-systems
Claude Code
Cursor
Copilot
Codex
Antigravity

Details

Pathplugins/ai-ml/ai-sdk-agents/skills/orchestrating-multi-agent-systems/SKILL.md
Branchmain
Scoped Name@jeremylongshore/orchestrating-multi-agent-systems

Usage

After installing, this skill will be available to your AI coding assistant.

Verify installation:

skills list

Skill Instructions


name: orchestrating-multi-agent-systems 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
  5. Write agent initialization code with AI SDK
  6. Configure system prompts for agent behavior
  7. Define tool functions for agent capabilities
  8. 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

More by jeremylongshore

View all
rabbitmq-queue-setup
1,004

Rabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.

model-evaluation-suite
1,004

evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

neural-network-builder
1,004

building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").

oauth-callback-handler
1,004

Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.