postgresql

Name: postgresql
Availability: InStock
Author: ai-safeter

Design PostgreSQL schemas with normalization, indexing, and RLS.

10|Updated May 20, 2026

Search Tags:#postgresql #rls #schema #constraints #partitioning #indexes #database-design

Ready to run

npx skills add https://github.com/AI-Safeter/antigravity-cli-plugin --skill postgresql-ai-safeter

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: postgresql
Source: https://github.com/AI-Safeter/antigravity-cli-plugin/tree/main/plugins/postgresql
Command: npx skills add https://github.com/AI-Safeter/antigravity-cli-plugin --skill postgresql-ai-safeter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL schema design is complex, requiring careful balance of normalization, data integrity, performance, and maintainability to support evolving applications.

Core Features & Use Cases

Guidance on data types, constraints, indexing, and partitioning to design scalable PostgreSQL schemas
Best practices for performance, normalization, safe migrations, and security considerations such as row-level security (RLS)
Use cases spanning OLTP, analytics, and reporting schemas with clear guidance on migration impact and future-proofing

Quick Start

Design a PostgreSQL schema for a simple orders table with a primary key, appropriate data types, and index strategy.

Frequently Asked Questions about postgresql

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

FAQPage Schema

How do I design a PostgreSQL schema that balances normalization and performance?▼

PostgreSQL schema design balances 3NF normalization with performance by selecting appropriate data types, constraints, and scalable indexing strategies. This approach ensures data integrity and maintainability for evolving applications across both OLTP and analytics workloads.

What's the best way to implement row-level security in a PostgreSQL schema?▼

Row-level security (RLS) in PostgreSQL is implemented as part of comprehensive schema design to enforce data access controls. Proper RLS configuration ensures secure data isolation while maintaining query performance for multi-tenant applications.

When should I use partitioning and TIMESTAMPTZ in PostgreSQL database design?▼

Use PostgreSQL partitioning for large tables to improve query performance and manageability, and use TIMESTAMPTZ for precise timezone-aware timestamp tracking. Both are essential practices for scalable database design across analytics and reporting schemas.

How do I create safe PostgreSQL migrations with IDENTITY primary keys?▼

Safe PostgreSQL migrations use PRIMARY KEY with IDENTITY columns to ensure reliable auto-incrementing values without sequence ownership issues. This approach maintains data integrity during schema evolution and prevents migration conflicts.

Can PostgreSQL schema design support both OLTP and analytics workloads?▼

PostgreSQL schema design supports both OLTP and analytics workloads by applying tailored normalization, indexing, and partitioning strategies. This dual-support capability allows databases to handle transactional operations and reporting efficiently within a single architecture.

Why does my PostgreSQL schema need scalable indexing strategies and constraints?▼

Scalable indexing strategies and constraints are critical in PostgreSQL schema design to enforce data integrity rules and optimize query performance. Without proper indexes and constraints, databases suffer from slow queries and potential data corruption as data volumes grow.