langchain-fundamentals

What problem does it solve?

This Skill provides the foundational knowledge and patterns for building robust AI agents using LangChain, focusing on modern best practices for agent creation, tool definition, and state management.

Core Features & Use Cases

• Agent Creation: Learn to use create_agent() for building agent loops.
• Tool Definition: Define custom tools using @tool (Python) or tool() (TypeScript).
• State Persistence: Implement conversation memory with checkpointers.
• Middleware: Integrate custom logic for human-in-the-loop and error handling.
• Use Case: Develop a customer support agent that can access a knowledge base, perform web searches, and maintain conversation history for personalized interactions.

Quick Start

Use the langchain-fundamentals skill to create a basic agent with a search tool and a system prompt.