agent-orchestration-patterns

What problem does it solve?

This Skill provides essential patterns for designing and managing complex multi-agent AI systems. It tackles challenges like inconsistent tool interfaces, stateless conversations, and unreliable tool execution, enabling developers to build robust, scalable, and maintainable agentic applications.

Core Features & Use Cases

• Pydantic Tool Schemas: Enforces strict input/output validation for AI tools using Pydantic, ensuring predictable interactions.
• Agent State Management: Provides patterns for maintaining conversation history and agent state across turns, enabling coherent multi-step interactions.
• Robust Tool Execution: Implements error handling, timeouts, and logging for tool calls, making agent interactions with external systems reliable.
• Orchestration Patterns: Guides on sequential, parallel, router-based, and hierarchical agent orchestration for diverse workflow needs.
• Use Case: A team is building an AI assistant that can research, synthesize, and write reports. This skill helps them implement a SequentialOrchestrator to chain a research agent, a synthesis agent, and a writer agent, ensuring each step is executed reliably and passes its output correctly.

Quick Start

Design a multi-agent system that sequentially researches a topic, synthesizes the information, and then writes a summary.