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postgres-patterns

Provides PostgreSQL best practices for query optimization, schema design, indexing, and security.

Updated Mar 21, 2026
Search Tags:#indexing#schema design#PostgreSQL#database optimization#Row Level Security
One-click install
npx skills add https://github.com/dbrijesh/raep --skill postgres-patterns-dbrijesh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/dbrijesh/raep/tree/main/templates/skills/postgres-patterns
Command: npx skills add https://github.com/dbrijesh/raep --skill postgres-patterns-dbrijesh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive guide to PostgreSQL best practices, helping you write efficient queries, design robust schemas, and maintain database performance.

Core Features & Use Cases

  • Query Optimization: Offers quick reference tables for index types and data types, optimizing your SQL queries.
  • Schema Design: Guidelines for creating efficient indexes and using partial and covering indexes.
  • Security: Best practices for Row Level Security and database connection pooling.
  • Use Case: When you are troubleshooting slow queries, designing a new schema, or implementing security measures like RLS.

Quick Start

Use the database-reviewer agent to review your database against the best practices outlined in the postgres-patterns skill.

Frequently Asked Questions about postgres-patterns

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

FAQPage Schema
How do I optimize slow PostgreSQL queries?▼

To optimize slow PostgreSQL queries, apply index types and schema design best practices, leveraging quick reference tables for data types and indexing to improve execution plans and overall performance.

What is the best way to design a PostgreSQL schema for efficient indexing?▼

Designing an efficient PostgreSQL schema involves following guidelines for creating partial and covering indexes to ensure fast data retrieval and maintain database performance without unnecessary storage overhead.

How does Row Level Security work in PostgreSQL?▼

Row Level Security in PostgreSQL works by applying policy guidelines that restrict data access at the row level, ensuring users only query and modify rows they are explicitly permitted to access.

When do I need partial or covering indexes in my database?▼

You need partial or covering indexes when optimizing specific query patterns, as these schema design guidelines help reduce index size and improve query performance for frequently filtered or selected columns.

Can I use Supabase guidelines for PostgreSQL database connection pooling?▼

Yes, you can use Supabase guidelines for PostgreSQL database connection pooling, which provide best practices to manage connections efficiently and maintain database performance alongside Row Level Security measures.

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