What problem does it solve? Choosing the right database architecture and writing efficient schemas, indexes, and queries across relational, document, in-memory, and cloud databases is error-prone and time-consuming. This Skill provides structured guidance for schema design, query optimization, indexing strategies, and cloud database selection so you avoid common production failures like missing indexes, unreproducible schema changes, and misconfigured connection pools. ## Core Features & Use Cases - Multi-Database Expertise: Covers PostgreSQL, MongoDB, Redis, and Oracle with patterns for schema design, aggregation pipelines, caching, PL/SQL, partitioning, and polyglot persistence architectures. - Cloud Database Selection: Decision guide for Neon (serverless PostgreSQL with branching), Supabase (pgvector, Row-Level Security, real-time), and Firebase Firestore (offline sync, Security Rules). - Performance & Operations: Query analysis with EXPLAIN ANALYZE, scaling strategies (read replicas, sharding, clustering), migration discipline, and verification checklists with red-flag detection. - Use Case: When building a multi-tenant SaaS app, use this Skill to choose Supabase for Row-Level Security, design the schema with proper indexes, write reversible migrations, and configure connection pooling for production load. ## Quick Start Ask the assistant to design a PostgreSQL schema with indexes and a migration plan for your application's data model.