supabase-postgres-best-practices

PostgreSQL query optimization requires analyzing execution plans, adding missing indexes, and restructuring inefficient SQL. This Skill helps identify root causes of slow query times in Supabase by guiding schema design and indexing improvements.

PostgreSQL schema design best practices involve creating efficient and scalable database structures. This includes choosing correct data types, normalizing data appropriately, and defining relationships that maintain query performance as your application grows.

Row-Level Security (RLS) in PostgreSQL controls data access by enforcing row-level policies. This Skill guides implementing robust RLS measures in Supabase to restrict data visibility and modification based on user roles and authentication context.

Managing database connections for high concurrency requires optimizing connection pooling strategies. This Skill provides practices to optimize how your application connects to the database, preventing connection exhaustion and ensuring reliable concurrent request handling.

Yes, these PostgreSQL optimization techniques apply to general PostgreSQL environments. While the Skill covers Supabase configurations, the core query optimization, schema design, and connection management practices are applicable to any standard PostgreSQL deployment.