postgres-patterns

Name: postgres-patterns
Availability: InStock
Author: 529-studio

Generate optimized composite indexes for PostgreSQL tables.

2|1|Updated Mar 25, 2026

Search Tags:#indexing #database #postgresql #optimization #schema #sql

Ready to run

npx skills add https://github.com/529-studio/Vmarble-Warehouse-Management-Client --skill postgres-patterns-529-studio

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/529-studio/Vmarble-Warehouse-Management-Client/tree/main/.agents/skills/postgres-patterns
Command: npx skills add https://github.com/529-studio/Vmarble-Warehouse-Management-Client --skill postgres-patterns-529-studio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of database management by providing standardized, high-performance patterns for schema design, indexing, and query optimization to prevent common performance bottlenecks.

Core Features & Use Cases

Query Optimization: Provides proven patterns for indexing, cursor pagination, and queue processing to ensure low-latency database operations.
Schema Best Practices: Offers guidance on data types and configuration templates to maintain data integrity and system reliability.
Use Case: When facing slow query performance on a large orders table, use this Skill to identify missing composite indexes or implement a partial index to reduce overhead.

Quick Start

Use the postgres-patterns skill to generate an optimized composite index for the orders table based on the status and created_at columns.

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 on large tables?▼

PostgreSQL query optimization involves identifying missing composite indexes and implementing partial indexes to reduce overhead. This Skill provides standardized patterns for indexing, cursor pagination, and queue processing to ensure low-latency database operations.

What is the best way to design a PostgreSQL schema for high concurrency?▼

Designing a PostgreSQL schema for high concurrency requires standardized data types and configuration templates. This Skill offers schema best practices to maintain data integrity, prevent performance bottlenecks, and ensure system reliability under heavy load.

When do I need a partial index in PostgreSQL?▼

You need a partial index in PostgreSQL when querying a subset of rows, such as filtering an orders table by status, to reduce indexing overhead. This Skill identifies these scenarios and generates optimized partial indexes for specific query patterns.

How do I implement Row Level Security policies in PostgreSQL?▼

Implementing Row Level Security (RLS) policies in PostgreSQL requires adherence to relational database best practices. This Skill supports database administration tasks including RLS policy implementation and configuration management for production environments.

Does this approach work for managing PostgreSQL configuration and performance tuning?▼

Yes, this approach works for PostgreSQL performance tuning and configuration management. The Skill supports database administration tasks by providing proven patterns for indexing and schema design to prevent common performance bottlenecks.