From rag-skills
Route RAG handling for code documentation, APIs, images, tables, diagrams, and multimodal content.
How this skill is triggered — by the user, by Claude, or both
Slash command
/rag-skills:data-type-handlingThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this parent skill when source material is not plain prose or when different data types need different parsing, metadata, chunking, and retrieval strategies.
Use this parent skill when source material is not plain prose or when different data types need different parsing, metadata, chunking, and retrieval strategies.
Code, APIs, tables, images, diagrams, and mixed media lose important meaning when treated as generic text. RAG systems need data-specific handling to preserve symbols, structure, and visual context.
Identify whether the corpus is code-heavy, image-heavy, table-heavy, or mixed.
Use parsers and metadata that retain symbols, captions, headers, page numbers, and source locations.
Index text, summaries, captions, code symbols, table schemas, or multimodal embeddings as appropriate.
npx claudepluginhub goodnight77/rag-skills --plugin rag-skillsBuilds RAG pipelines using LangChain: document loading, recursive text splitting, OpenAI embeddings, and vector stores (Chroma, FAISS, Pinecone).
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Guides designing RAG systems that ground LLM responses in retrieved documents to reduce hallucination and enable knowledge updates without retraining.