Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, vector search, embeddings, semantic search, document retrieval.
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npx mdskills install sickn33/rag-engineerComprehensive RAG guidance with strong patterns and edge cases, but lacks actionable agent instructions
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