ccfg-mongodb

Scaffold MongoDB collection setup with JSON Schema validators and index definitions, or generate connection configuration with environment variable templates. Detects existing ODM/driver (Mongoose, Prisma MongoDB, native drivers) and generates compatible artifacts.

Run MongoDB schema quality gate suite checking JSON Schema validators, index coverage using the ESR rule, antipattern detection for unbounded arrays and excessive embedding, and naming convention consistency. Full mode runs all checks; quick mode runs naming conventions and validation rule presence only.

Use this agent for MongoDB aggregation pipelines, $lookup joins, $merge and $out for materialized views, $facet for multi-dimensional analysis, pipeline optimization, window functions, bucket operations, $graphLookup for graph traversals, and all aggregation expression and accumulator operators.

Use this agent for MongoDB document modeling, schema validation, BSON type selection, collection design, index strategy, Atlas configuration, transactions, change streams, and general MongoDB 7+ development guidance. This agent provides comprehensive expertise across the full MongoDB feature set with emphasis on production-grade patterns and safety.

Use this agent for MongoDB sharding strategy, shard key selection and analysis, hashed vs ranged sharding, zone sharding for multi-tenancy and data residency, chunk management, config server administration, mongos routing, shard balancer tuning, and diagnosing sharding performance issues.

This skill should be used when writing MongoDB aggregation pipelines, using $lookup, $group, $merge, or optimizing pipeline performance. It provides pipeline stage ordering rules, $lookup vs app-side join guidance, $facet patterns, $merge for materialized views, pipeline optimization techniques, and $out vs $merge comparisons.

This skill should be used when working on MongoDB databases, designing document schemas, creating collections, or reviewing MongoDB code. It provides document modeling rules, BSON type guidance, collection design conventions, JSON Schema validator patterns, and existing repository compatibility checks for consistent MongoDB development.

This skill should be used when planning MongoDB sharding, selecting shard keys, configuring zone sharding, or diagnosing sharding performance issues. It provides shard key selection criteria covering cardinality, frequency, and monotonicity analysis, hashed vs ranged sharding trade-offs, zone sharding patterns for multi-tenancy and data residency, scatter-gather avoidance techniques, and chunk management best practices.