supabase-postgres-best-practices

Optimize Postgres performance for Supabase apps with indexing and query tuning rules.

Updated Apr 5, 2026

Search Tags:#performance #indexing #postgresql #partitioning #query-optimization #vacuum-analyze

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npx skills add https://github.com/harryy2510/dotclaude --skill supabase-postgres-best-practices-harryy2510

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: supabase-postgres-best-practices
Source: https://github.com/harryy2510/dotclaude/tree/main/plugins/dotclaude/skills/supabase-postgres-best-practices
Command: npx skills add https://github.com/harryy2510/dotclaude --skill supabase-postgres-best-practices-harryy2510

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

PostgreSQL performance can degrade due to misconfigured indexes, poorly designed queries, and suboptimal maintenance. This guide consolidates proven best practices from Supabase to help teams identify and fix common bottlenecks, from indexing strategies to vacuuming and RLS considerations.

Core Features & Use Cases

Comprehensive guidelines for indexing (composite, partial, covering), query optimization, and appropriate index types.
Operational best practices including partitioning, vacuum/analyze, autovacuum tuning, connection management, and security considerations.
Real-world use cases show how to diagnose slow queries and implement fixes in large, production databases.

Quick Start

Audit your PostgreSQL setup and begin applying Supabase's best practices to indexing, partitioning, vacuuming, and policy design to start improving performance.

Frequently Asked Questions about supabase-postgres-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I optimize slow PostgreSQL queries in a Supabase application?▼

Optimize slow PostgreSQL queries by analyzing EXPLAIN outputs and applying rules for composite, partial, and covering indexes. This guide provides correct and incorrect SQL examples with concrete performance metrics to guide query tuning and schema design.

What are the best practices for indexing PostgreSQL databases on Supabase?▼

PostgreSQL indexing best practices include using composite, partial, and covering indexes appropriately. This guide outlines specific index types and strategies with examples to reduce query latency in production Supabase applications.

When should I use partitioning and autovacuum tuning for PostgreSQL performance?▼

Use partitioning and autovacuum tuning when managing large, production databases to prevent performance degradation. This guide provides operational best practices for vacuum/analyze configuration and partitioning strategies to maintain database health.

Does Supabase Row Level Security impact PostgreSQL query performance?▼

Supabase Row Level Security (RLS) policy design is a consideration for query performance. This guide includes security and policy design considerations alongside indexing and query optimization rules to prevent RLS-induced bottlenecks.

Can I use this guide to audit my existing PostgreSQL schema and configuration?▼

You can audit your existing PostgreSQL setup by applying these Supabase best practices to schema design, indexing, partitioning, and vacuum configurations. The guide provides diagnostic rules and real-world use cases to identify and fix common bottlenecks.

What is the best way to manage connections and tune autovacuum in PostgreSQL?▼

The best way to manage connections and tune autovacuum involves following operational guidelines for connection management and maintenance routines. This guide provides Supabase best practices for vacuum/analyze and autovacuum tuning to optimize performance.