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Cursor Skill
Guides ScyllaDB Cloud users through implementing and optimizing Vector Search for semantic similarity, RAG, and similar use cases. Use this skill when users need to store and query embeddings, build vector indexes (HNSW), run approximate nearest neighbour (ANN) queries, apply filtering (global/local secondary indexes), configure quantization, or integrate with LLM frameworks (e.g. LangChain). Also use when users mention "vector", "embeddings", "similarity search", "ANN", "nearest neighbor", "RAG", "semantic search", or "recommendation system" in the context of ScyllaDB.
Official ScyllaDB agent skills. Bundles guided skills for ScyllaDB Cloud setup, CQL data modeling, and Vector Search; each is invoked independently by the agent when relevant.