What problem does it solve? Choosing the right database, designing schemas, and tuning queries across relational, document, in-memory, and cloud platforms requires deep, scattered expertise. This Skill consolidates patterns for PostgreSQL, MongoDB, Redis, Oracle, and cloud databases (Neon, Supabase, Firestore) into one reference so you can make correct design and optimization decisions without guesswork. ## Core Features & Use Cases - Schema Design & Data Modeling: Relational constraints, document modeling, partitioning, and indexing strategies for PostgreSQL, MongoDB, and Oracle. - Query & Performance Optimization: EXPLAIN ANALYZE workflows, aggregation pipeline tuning, caching layers, and connection pool configuration. - Cloud Database Selection: Decision guide for Neon (serverless PostgreSQL with branching), Supabase (pgvector, RLS, real-time), and Firebase Firestore (offline sync, Security Rules). - Use Case: You are building a multi-tenant SaaS app and need to pick between Supabase RLS and Firestore Security Rules, then design the schema and indexes. This Skill provides the decision table, policy patterns, and migration checklists. ## Quick Start Ask the AI to design a PostgreSQL schema with indexes and a reversible migration for your application's data model.