This skill equips Claude with specialized knowledge to architect and implement production-ready Large Language Model applications. It provides standardized patterns for structured prompt engineering, including few-shot learning and Chain-of-Thought reasoning, alongside implementation guides for OpenAI and Anthropic APIs. Beyond basic integration, it offers deep expertise in Retrieval-Augmented Generation (RAG) workflows, covering document chunking, vector embeddings, and efficient storage strategies. Whether building chatbots or automated AI agents, this skill ensures best practices in token management, streaming, and robust error handling.
주요 기능
01Multi-provider API integration (OpenAI & Anthropic SDKs)
02Resilient error handling with exponential backoff
03Streaming response patterns for improved UX
047 GitHub stars
05Structured prompt engineering (Few-shot, Chain-of-Thought)
06Full RAG pipeline implementation and document chunking
