agentic-development

What problem does it solve?

This Skill provides a comprehensive guide and practical examples for building sophisticated AI agents, enabling developers to create autonomous systems that can perform complex, multi-step tasks.

Core Features & Use Cases

• Framework Selection: Guidance on choosing between Python (Pydantic AI) and Node.js (Claude Agent SDK) for agent development.
• Agent Architecture: Outlines key components like the model, tools, and instructions.
• Workflow Patterns: Details the Explore-Plan-Execute-Verify cycle for robust agent behavior.
• Tool Design: Demonstrates how to define and implement tools for agents.
• Multi-Agent Strategies: Explains patterns like Agent-as-Tool and Handoff.
• Memory Management: Covers conversation and persistent memory for agents.
• Guardrails & Safety: Emphasizes multi-layer protection and scope enforcement.
• Testing: Provides strategies for unit, behavior, and evaluation testing.
• Use Case: Develop an AI agent that can research a given topic, write a report, and then self-critique its own work based on predefined criteria.

Quick Start

Use the agentic-development skill to learn how to build AI agents using Python with Pydantic AI or Node.js with the Claude Agent SDK.