postgresql-code-review

Review PostgreSQL code for best practices, anti-patterns, and security features.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/bryandrenner/ai-agent-configs --skill postgresql-code-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: postgresql-code-review
Source: https://github.com/bryandrenner/ai-agent-configs/tree/main/general/copilot/skills/postgresql-code-review
Command: npx skills add https://github.com/bryandrenner/ai-agent-configs --skill postgresql-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides expert code review specifically for PostgreSQL, ensuring your database code adheres to best practices, avoids common anti-patterns, and leverages PostgreSQL's unique features for optimal performance and security.

Core Features & Use Cases

  • Best Practice Enforcement: Analyzes code for PostgreSQL-specific best practices in areas like JSONB operations, array usage, schema design, and function optimization.
  • Anti-Pattern Detection: Identifies and explains common performance and schema design pitfalls unique to PostgreSQL.
  • Security Review: Checks for proper implementation of security features like Row Level Security (RLS) and granular privilege management.
  • Use Case: Submit your complex PL/pgSQL functions or schema definitions for a thorough review to catch potential performance bottlenecks or security vulnerabilities before they impact your production environment.

Quick Start

Review the provided PostgreSQL code snippet for best practices and potential issues.

Frequently Asked Questions about postgresql-code-review

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

FAQPage Schema
How do I review PostgreSQL code for performance anti-patterns and schema design issues?

PostgreSQL code review analyzes schema definitions and PL/pgSQL functions to detect anti-patterns, ensuring optimal database performance. It evaluates JSONB operations, array usage, and custom types to enforce best practices and identify potential bottlenecks.

What is the best way to check PL/pgSQL functions for PostgreSQL-specific security vulnerabilities?

Checking PL/pgSQL functions for PostgreSQL-specific vulnerabilities involves reviewing Row Level Security (RLS) implementation and granular privilege management. This ensures your database enforces strict access controls and prevents unauthorized data exposure.

How do I validate JSONB operations and array usage against PostgreSQL best practices?

Validating JSONB operations and array usage against PostgreSQL best practices requires analyzing query structures and data modeling choices. This review ensures your code leverages PostgreSQL's unique capabilities efficiently without introducing structural inefficiencies.

Can I use a code review tool to optimize schema design and custom types in PostgreSQL?

You can use a PostgreSQL code review to optimize schema design and custom types by submitting your definitions for analysis. The review identifies structural pitfalls and recommends changes to leverage PostgreSQL-exclusive features for secure, efficient development.

When should I review Row Level Security policies in PostgreSQL?

You should review Row Level Security (RLS) policies in PostgreSQL before deploying to production to catch privilege management gaps. A dedicated security review verifies that RLS implementation correctly restricts data access and adheres to quality standards.