supabase-postgres-best-practices

Optimize Postgres query performance with indexing and execution plan analysis.

1|Updated Feb 1, 2026

Search Tags:#query optimization #schema design #performance optimization #postgres #database configuration

Ready to run

npx skills add https://github.com/safzanpirani/pi-config --skill supabase-postgres-best-practices-safzanpirani

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to optimize Postgres performance, covering query optimization, schema design, and database configuration.

Core Features & Use Cases

Query Optimization: Improve the performance of SQL queries through indexing strategies, query rewriting, and understanding PostgreSQL's execution plan.
Schema Design: Learn best practices for designing efficient and scalable database schemas.
Database Configuration: Understand how to configure connection pooling, idle connection timeouts, and resource management.
Use Case: Use this Skill to optimize a complex query, improve data retrieval speed, or configure your database for better performance.

Quick Start

Use the supabase-postgres-best-practices skill to optimize the performance of your query. First, read the SKILL.md for instructions, then refer to the references/ directory for detailed guides on specific topics.

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 for slow SQL statements?▼

Improve query performance by applying indexing strategies, rewriting SQL statements, and analyzing the PostgreSQL execution plan to identify and resolve data retrieval bottlenecks.

What are the best practices for designing a scalable Postgres schema?▼

Designing a scalable Postgres schema requires following best practices for efficient data types, normalized relationships, and structural patterns that ensure efficient data retrieval and long-term database scalability.

How do I configure Postgres connection pooling and idle timeout settings?▼

Configure Postgres connection pooling and idle connection timeouts by adjusting database configuration parameters for resource management, ensuring optimal connection handling and preventing resource exhaustion.

Do I need to understand PostgreSQL execution plans to optimize my database?▼

Understanding PostgreSQL execution plans is required to optimize your database, as it provides the necessary foundation for analyzing query execution paths, evaluating indexing strategies, and implementing effective configuration parameters.

When should I rewrite SQL queries instead of adding indexes for PostgreSQL performance optimization?▼

PostgreSQL performance optimization requires evaluating query execution plans to determine whether adding indexes or rewriting SQL statements is the appropriate approach for improving specific data retrieval bottlenecks.