Best Claude Code skills for RAG (2026)
The retrieval-augmented-generation skills worth installing first — for routing, fallbacks, and debugging RAG in production.
The retrieval-augmented-generation skills worth installing first — for routing, fallbacks, and debugging RAG in production. Every skill here is a real Loreto listing — a packaged SKILL.md with references and a runnable test.
Agentic RAG Fallback
Designs a Retrieve-Check-Route fallback pattern for agentic (multi-tool) RAG systems so that when every retriever tool returns empty or irr…
Agentic RAG Routing
Designs an agentic RAG architecture where an LLM agent acts as a dynamic router, semantically selecting the correct domain-specific vector…
RAG Pipeline Vector DB
Designs a traditional RAG pipeline organized around the Query-Retrieve-Augment-Generate (QRAG) flow and its single-LLM-call invariant, grou…
RAG Pipeline Vector Store
Designs a baseline single-hop RAG pipeline that grounds LLM answers in private or domain-specific documents via vector store retrieval, wit…
RAG Query Routing
Designs and implements LLM-backed query routing across multiple domain-specific vector stores using the retriever-tool pattern, so each que…
RAG Relevance Fallback
Designs a conditional fallback branch in a single-store RAG pipeline so that when retrieved documents are irrelevant or absent, execution r…
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