supabase-postgres-best-practices

Optimize slow Postgres queries in Supabase by applying prioritized performance rules, analyzing query plans, and adding missing indexes. This provides specific SQL examples and metrics to resolve database performance bottlenecks efficiently.

Row-Level Security (RLS) can impact database performance if poorly designed. This Skill provides Supabase-specific guidance and schema design rules to implement RLS efficiently without causing slow query execution or performance hits.

The best way to design a Supabase schema for query performance is following prioritized Postgres best practices. This includes reviewing schema designs against categorized performance rules with correct versus incorrect SQL examples.

Analyze a Postgres query plan in Supabase by comparing incorrect versus correct SQL snippets and reviewing specific performance metrics. This Skill guides query plan analysis to identify and fix missing indexes and inefficient structures.

Yes, you can review existing Postgres queries, schema designs, database configurations, and Row-Level Security implementations for Supabase. It provides prioritized optimization recommendations based on eight categories of best practices.