mongodb-agent-skills

MongoDB Vector Search and AI integration. Use when creating vector indexes, writing $vectorSearch queries, building RAG applications, implementing hybrid retrieval strategies, or storing AI agent memory. Triggers on "vector search", "vector index", "$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".

MongoDB query optimization and indexing strategies. Use when writing queries, creating indexes, building aggregation pipelines, debugging slow operations, or optimizing built-in $text search on self-managed deployments. Triggers on "slow query", "create index", "optimize query", "aggregation pipeline", "explain output", "COLLSCAN", "ESR rule", "compound index", "partial index", "TTL index", "$text", "text index", "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 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 "MongoDB Search", "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".

MongoDB transaction correctness, consistency, and retry safety. Use when implementing multi-document writes, debugging transaction failures, choosing readConcern/writeConcern, handling TransientTransactionError or UnknownTransactionCommitResult, or deciding when transactions are required. Triggers on "transaction", "withTransaction", "session", "read concern", "write concern", "causal consistency", "snapshot", "retry commit", "ACID", "TransientTransactionError", and "UnknownTransactionCommitResult".