langchain

8.7

192

400

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

llm-framework

8.7

Rating

Installs

AI & LLM

Quick Review

Excellent LangChain skill with comprehensive coverage of agents, RAG, and LLM integrations. The description clearly communicates when to use LangChain versus alternatives. Task knowledge is outstanding with complete, runnable code examples for all major use cases (agents, RAG pipelines, memory, tool calling). Structure is logical with clear sections and references to detailed guides. The skill provides significant value by consolidating LangChain patterns and best practices that would otherwise require extensive documentation searches and experimentation. Minor improvement possible: slightly more explicit guidance on error handling patterns and production deployment considerations.