postgresql-patterns

Analyze PostgreSQL queries and schemas against patterns and anti-patterns checklists.

Updated Aug 27, 2026

Search Tags:#code review #performance #query optimization #security #postgresql

Ready to run

npx skills add https://github.com/NewEarthAI/vibecode-project-template --skill postgresql-patterns-newearthai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: postgresql-patterns
Source: https://github.com/NewEarthAI/vibecode-project-template/tree/main/.claude/skills/postgresql-patterns
Command: npx skills add https://github.com/NewEarthAI/vibecode-project-template --skill postgresql-patterns-newearthai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you optimize and secure your PostgreSQL queries and schemas by providing patterns, anti-patterns, and code review checklists.

Core Features & Use Cases

Optimize Queries: Apply expert query patterns to enhance performance and efficiency.
Review Code: Use checklists for code reviews to maintain security and best practices.
Use Case: As a developer, when you're working with complex PostgreSQL queries and schemas, this Skill offers guidance on JSONB operations, index strategies, and full-text search optimization.

Quick Start

Activate the skill and review your query against the PostgreSQL patterns and anti-patterns checklist.

Frequently Asked Questions about postgresql-patterns

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

FAQPage Schema

How do I optimize PostgreSQL queries for better performance?▼

To optimize PostgreSQL queries, apply expert query patterns and anti-pattern checklists to enhance performance. This includes using effective index strategies and optimizing complex operations like JSONB manipulations and full-text search.

What are common PostgreSQL anti-patterns to avoid in code reviews?▼

Common PostgreSQL anti-patterns include inefficient index usage, unoptimized JSONB operations, and poor full-text search configurations. Using specific code review checklists helps identify these issues to maintain security and enforce best practices.

Does this PostgreSQL optimization guidance work with Row Level Security?▼

Yes, the PostgreSQL optimization guidance supports Row Level Security (RLS) alongside other PostgreSQL 12+ features. It helps developers enforce coding standards and security patterns within their database environment.

What's the best way to handle JSONB operations in PostgreSQL?▼

The best way to handle JSONB operations in PostgreSQL is by applying specific query patterns designed for performance. Reviewing your schema and queries against established checklists ensures efficient JSONB manipulation and indexing.

Do I need PostgreSQL 12 or higher to use these query patterns?▼

Yes, you need PostgreSQL 12 or higher to fully utilize these query patterns. The optimization techniques leverage advanced features introduced in PostgreSQL 12, including specific JSONB operations, CTEs, and Row Level Security.

Why is my PostgreSQL full-text search running slowly?▼

Your PostgreSQL full-text search may run slowly due to missing indexes or inefficient query structures. Applying targeted query optimization patterns and reviewing your schema can significantly improve search performance.