db-performance-patterns
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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Patterns for optimizing database queries and preventing connection pool exhaustion. Use when writing batch operations, debugging slow queries, or reviewing code for performance.
Generate production-ready Row Level Security (RLS) policies for Supabase tables with is_super_admin() bypass, proper USING/WITH CHECK, automated testing framework, performance analysis, and coverage reports. Us...
Query production and staging Supabase databases safely using environment credentials with query approval workflow, safety checker, read-only roles, and audit logging; use when debugging production/staging data,...
Lint PostgreSQL functions against schema, analyze usage, and generate fix reports; use when detecting broken functions, validating schema contracts, or cleaning up unused database functions
Apply SQL optimization patterns including index usage, query rewriting, JOIN optimization, and window functions. Use when improving query performance or analyzing slow queries. This skill provides comprehensiv...
Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platfor...
Safe database exploration using Laravel Boost tools. Use for querying data, understanding schema, checking records, and debugging data issues. Auto-triggers on "query database", "check data", "find records", "d...
Database operation rules (SeaORM, migrations, transaction rules, PostgreSQL). Use when working with database, creating migrations, using SeaORM, asking about DB operations, schema changes, queries, or entity de...
Create and manage database migrations with reversible changes, zero-downtime deployments, and proper version control practices. Use this skill when creating database migration files, schema change scripts, or a...
Write secure, performant database queries using parameterized queries, eager loading, proper indexing, and transactions. Use this skill when writing database query code, ORM query methods, SQL statements, or da...
PostgreSQL DBA skill for schema design review, indexing, query tuning (EXPLAIN/ANALYZE), vacuum/autovacuum, concurrency/locking, partitioning, backup/restore, replication/HA, and safe migrations. Use for tasks...
Review and fix PRD/BP/tech design Markdown that includes PostgreSQL table DDL and API examples. Use to enforce these conventions: no auto-increment primary keys, no foreign keys, avoid join-based designs, uniqu...
MySQL DBA skill for schema design review, indexing, query performance tuning (EXPLAIN), transaction/isolation issues, replication/high availability, backup/restore, and operational checklists. Use for tasks lik...
Redis DBA skill for cache/data-structure design, performance tuning, memory optimization, persistence (RDB/AOF), replication/cluster, high availability (Sentinel), and operational troubleshooting. Use for tasks...
Provides Prisma-specific patterns for soft delete, transactions, optimistic locking, bulk operations, and performance optimization. This skill should be used when implementing data persistence, handling concurr...
Provides general guidance for implementing data access layers in backend applications. This skill should be used when designing repositories, implementing query methods, or managing database access patterns.
Database specialist - handles RLS policies, migrations, type generation, and Supabase integration patterns.
Audit SQLite persistence layer for unused tables and broken integrations. Trigger when: (1) checking database usage, (2) cleaning up schema, (3) finding missing methods.
PostgreSQL database patterns and Data Gateway compliance
Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.
Supabase PostgreSQL schema management, 86+ migrations, RLS policies, and type generation. Handles table creation, schema changes, migrations, foreign key constraints, and migration workflows. Use when working w...
Use when creating BigQuery tables, implementing partitioning or clustering, managing table schemas, or optimizing table structure. Covers time-based partitioning, range partitioning, clustering strategies, DDL...
Use when writing BigQuery queries, optimizing query performance, analyzing execution plans, or avoiding common SQL gotchas. Covers parameterized queries, UDFs, scripting, window functions (QUALIFY, ROW_NUMBER,...
How to extract data from a Datomic database for maximum scalability and performance, with particular emphasis on leveraging standard query and indexes to get the best overall multiuser performance with emphasis...
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