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.