This skill empowers Claude to assist with MongoDB database interactions, offering battle-tested patterns for data modeling, indexing, and complex aggregations. It helps developers choose between embedding and referencing, implement efficient indexing using the ESR rule, and construct performant aggregation pipelines while strictly adhering to read-only MCP constraints. Whether you are troubleshooting performance bottlenecks or exploring collection structures, this skill ensures best practices are followed to avoid common anti-patterns like unbounded arrays, massive documents, or missing indexes.
主な機能
01Performance-tuned aggregation pipeline construction and debugging
02Optimized indexing strategies using the ESR (Equality, Sort, Range) rule
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04Detailed schema design guidance including embedding vs. referencing patterns
05Anti-pattern detection to prevent unbounded arrays and collection scans
06Database exploration for collections, schemas, and existing indexes
ユースケース
01Designing efficient data models for time-series data using the bucket pattern
02Building and refining complex aggregation pipelines for data reporting and analysis
03Analyzing existing MongoDB collection schemas and suggesting index improvements