postgres-patterns

Optimize PostgreSQL queries, indexing, schema design, and Row-Level Security.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/KanakMalpani/General-Private-Skills --skill postgres-patterns-kanakmalpani
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/KanakMalpani/General-Private-Skills/tree/main/skills/postgres-patterns
Command: npx skills add https://github.com/KanakMalpani/General-Private-Skills --skill postgres-patterns-kanakmalpani

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL pattern guidance helps developers optimize queries, design robust schemas, implement efficient indexing, and apply security best practices based on Supabase guidelines.

Core Features & Use Cases

  • Pattern-based guidance for query optimization, indexing strategies, and schema design.
  • Security-focused practices including Row Level Security (RLS) and access control patterns.
  • Concrete examples and best-practice recommendations for common PostgreSQL workloads.

Quick Start

Ask the agent to apply PostgreSQL patterns to optimize queries and design secure schemas.

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 using proven patterns?

Optimize slow PostgreSQL queries by applying proven patterns for SQL performance tuning and indexing strategies. This approach identifies suitable indexes and avoids common anti-patterns to significantly improve database response times.

What is the best way to design a secure PostgreSQL schema with Row-Level Security?

Design secure PostgreSQL schemas by applying access control patterns and Row-Level Security (RLS) based on best practices. This method ensures data isolation and robust access management across typical database workloads.

When do I need specific indexes for my PostgreSQL database?

You need specific indexes when query performance degrades due to full table scans or large dataset joins. Identifying suitable indexes based on proven patterns avoids common anti-patterns and guides efficient implementation.

How do I avoid common PostgreSQL anti-patterns in schema design?

Avoid PostgreSQL schema design anti-patterns by following pattern-driven guidance for robust schema creation. This approach provides concrete examples and best-practice recommendations for common database workloads.

Does this PostgreSQL pattern guidance work for Supabase projects?

Yes, this PostgreSQL pattern guidance applies security and optimization best practices based on Supabase guidelines. It helps developers implement efficient indexing, robust schemas, and Row-Level Security within Supabase environments.