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danilonovaisv
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supabase-postgres-best-practices

Optimize Supabase Postgres performance with categorized SQL tuning rules.

1|Updated Feb 10, 2026
Search Tags:#performance#rls#partitioning#indexes#query-tuning#postgres#vacuum-analyze
One-click install
npx skills add https://github.com/danilonovaisv/PROMPT-APP --skill supabase-postgres-best-practices-danilonovaisv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: supabase-postgres-best-practices
Source: https://github.com/danilonovaisv/PROMPT-APP/tree/main/.agent/skills/supabase-postgres-best-practices
Command: npx skills add https://github.com/danilonovaisv/PROMPT-APP --skill supabase-postgres-best-practices-danilonovaisv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This guide provides comprehensive Postgres performance optimization guidelines for developers using Supabase, covering indexing, schema design, connection management, and security considerations to improve reliability and speed.

Core Features & Use Cases

  • 8 rule categories ordered by impact, with concrete SQL patterns and examples for real-world tuning
  • Guidance on when to apply optimization, from query performance to maintenance tasks like VACUUM and ANALYZE
  • Durable patterns for scalable schemas, including proper indexing, partitioning, and RLS performance

Quick Start

Analyse a representative schema, apply the top-priority rule, and iteratively validate performance improvements.

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 Postgres query performance in Supabase?▼

To optimize Postgres query performance in Supabase, apply a structured guide of categorized rules ordered by impact, utilizing concrete SQL patterns for indexing, query tuning, and schema design to validate speed improvements.

What are the best practices for Row Level Security performance in Supabase?▼

Row Level Security (RLS) performance best practices involve applying specific SQL patterns and rules to structure scalable schemas, ensuring that security policies do not degrade database query speed across small to large datasets.

When should I run VACUUM and ANALYZE for Postgres maintenance?▼

Run VACUUM and ANALYZE as routine Postgres maintenance tasks following category-driven guidelines to determine optimal timing for reclaiming storage and updating query planner statistics for your database.

How do I use partitioning and indexes for scalable Supabase schemas?▼

To build scalable Supabase schemas, apply durable patterns for proper indexing and data partitioning, using provided SQL-level examples to structure tables that maintain high performance as your database grows.

Are these Postgres tuning guidelines suitable for large databases?▼

Yes, these Postgres tuning guidelines are applicable across small to large databases, providing targeted scenarios from query tuning to maintenance tasks like VACUUM and ANALYZE to ensure reliable performance at scale.

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