Langchain Architecture

This one's for building serious LLM applications with LangChain 1.x and LangGraph, not just chatbot demos. It covers the modern agent patterns like ReAct and plan-execute, shows you how to implement proper state management with TypedDict, and handles the tricky bits like memory persistence across sessions and tool integration with Pydantic schemas. The examples are production-focused, covering RAG pipelines, multi-agent systems, and document processing workflows. If you're moving beyond simple LLM calls and need to build agents that actually maintain state, use tools reliably, and handle complex workflows, this covers the current best practices for 2026.

Install to Claude Code

npx -y skills add wshobson/agents --skill langchain-architecture --agent claude-code