Build and optimize MongoDB queries, aggregation pipelines, and CRUD operations. Use when the user asks to query data, filter documents, join collections, aggregate results, update documents, or work with MongoDB data in any way.
Analyze MongoDB collection schemas, infer data types, detect inconsistencies, and recommend schema design improvements. Use when the user asks about database structure, data modeling, schema validation, or wants to understand their MongoDB collections.
Reference guide for MongoDB performance patterns: index strategies (ESR rule, compound, partial, TTL), explain plan interpretation, and performance checklists. Use as background knowledge when advising on indexing or performance. For hands-on optimization of a specific slow query, trigger the query-advisor agent instead.