romiluz13/mongodb-agent-skills Skills

MongoDB Atlas Vector Search and AI integration. Use when creating vector indexes, writing $vectorSearch queries, building RAG applications, implementing hybrid search, or storing AI agent memory. Triggers on "vector search", "vector index", "$vectorSearch", "embedding", "semantic search", "RAG", "retrieval augmented generation", "numCandidates", "similarity search", "cosine similarity", "hybrid search", "$rankFusion", "$scoreFusion", "rerank", "two-stage retrieval", "AI agent", "LLM memory", "quantization", "multi-tenant", "Search Nodes", "explain vectorsearch", "HNSW", "automated embedding", "autoEmbed", "Voyage AI", "voyage-4", "voyage-4-large", "voyage-code-3", "input_type", "asymmetric retrieval", "lexical prefilter", "fuzzy search vector", "phrase filter".

MongoDB query optimization and indexing strategies. Use when writing queries, creating indexes, building aggregation pipelines, or debugging slow operations. Triggers on "slow query", "create index", "optimize query", "aggregation pipeline", "explain output", "COLLSCAN", "ESR rule", "compound index", "partial index", "TTL index", "text search", "geospatial", "$indexStats", "profiler".

MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".

MongoDB Search engine architecture, query composition, and search operations. Use when creating Atlas Search indexes, writing $search or $searchMeta pipelines, choosing analyzers, tuning lexical relevance, handling Search alerts/metrics, deploying Search in Community, or orchestrating hybrid search with $rankFusion/$scoreFusion. Triggers on "Atlas Search", "$search", "$searchMeta", "autocomplete", "synonyms", "facet", "compound", "search score", "highlight", "storedSource", "returnStoredSource", "returnScope", "mongot", "searchCoordinator", "Search Max Fields Indexed", "nGram fields", "$rankFusion", "$scoreFusion", and "hybrid search".