Review a SQL query and its callers
Analyze query correctness, parameter handling, and result assumptions using the supplied schema.
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Analyze query correctness, parameter handling, and result assumptions using the supplied schema.
Use when optimizing database queries, indexes, N+1 problems, slow queries, or analyzing query performance. Triggers on keywords like "slow query", "N+1", "index", "query optimization", "database performance", "eager loading".
Use this agent when reviewing database migrations, schema changes, or data transformations. Specializes in validating ID mappings, checking for swapped values, and verifying rollback safety. Triggers on requests like "migration review", "schema change validation".
Database schema design patterns and optimization strategies for relational and NoSQL databases. Use when designing database schemas, optimizing query performance, or implementing data persistence layers at scale.
Activate when creating database migrations that enable or disable PostgreSQL extensions. Provides the DO block pattern for cross-environment compatibility between Nhost Cloud, CNPG (CloudNativePG), and other PostgreSQL environments.
Activates when user needs help with database design, SQL queries, migrations, or ORM usage. Triggers on "database schema", "SQL query", "migration", "optimize query", "foreign key", "index", "normalize", "ORM", "Prisma", "TypeORM", "SQLAlchemy", or database-related questions.
Manage database schema with Drizzle ORM and SQLite migrations. Use when adding tables, modifying columns, creating indexes, or running migrations. Activates for database schema changes, migration generation, and Drizzle query patterns.
Generate DBeaver configurations from Pydantic ClickHouse connection models. Use when user mentions "DBeaver config", "ClickHouse connection setup", "database client configuration", "generate connection JSON", "mise SSoT connection", or needs consistent connection configuration across development ...
ClickHouse schema design and optimization. TRIGGERS - ClickHouse schema, compression codecs, MergeTree, ORDER BY tuning, partition key.
Production-grade SQL optimization for OLTP systems: EXPLAIN/plan analysis, balanced indexing, schema and query design, migrations, backup/recovery, HA, security, and safe performance tuning across PostgreSQL, MySQL, SQL Server, Oracle, SQLite.
Database schema design and data modeling patterns including normalization principles (1NF-5NF), denormalization trade-offs, entity relationship design, indexing strategies, schema evolution, and domain-driven design patterns. Activates when designing new database schemas, refactoring data models,...
Patterns for optimizing database queries and preventing connection pool exhaustion. Use when writing batch operations, debugging slow queries, or reviewing code for performance.
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