postgresql-table-design

Name: postgresql-table-design
Availability: InStock
Author: 3Commas

Guide PostgreSQL schema design covering data types, indexing, normalization, and constraints.

4|2|Updated Jan 7, 2026

Search Tags:#performance #database design #postgresql #schema #data modeling #sql

Ready to run

npx skills add https://github.com/3commas-io/commas-claude --skill postgresql-table-design-3commas-io

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: postgresql-table-design
Source: https://github.com/3commas-io/commas-claude/tree/main/skills/postgresql
Command: npx skills add https://github.com/3commas-io/commas-claude --skill postgresql-table-design-3commas-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers design efficient, scalable, and maintainable PostgreSQL database schemas by providing best practices and guidance on data types, indexing, and advanced features.

Core Features & Use Cases

Schema Design Best Practices: Offers rules for primary keys, normalization, nullability, and indexing.
Data Type Selection: Recommends appropriate PostgreSQL data types for various use cases (IDs, text, numbers, time, JSONB, etc.).
Advanced Features: Covers partitioning, row-level security, constraints, and indexing strategies.
Use Case: A developer needs to design a new table for user profiles. They can consult this Skill for guidance on choosing the best data types for fields like user_id, email, and preferences (which might be JSONB), and learn about necessary indexes and constraints.

Quick Start

Design a PostgreSQL table for storing user data, including an auto-incrementing ID, email, and creation timestamp.

Frequently Asked Questions about postgresql-table-design

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

FAQPage Schema

How do I design a PostgreSQL schema for high-insert workloads?▼

Designing PostgreSQL schemas for high-insert workloads requires careful partitioning, appropriate data type selection, and optimized indexing strategies. This Skill provides best practices for structuring tables to maintain robust performance under heavy data ingestion.

What PostgreSQL data types should I use for JSONB and time-series data?▼

For PostgreSQL data modeling, selecting appropriate data types like JSONB for flexible profiles and specialized types for time-series data is crucial. This Skill offers guidance on choosing optimal types to ensure efficient storage and querying.

What are the best practices for PostgreSQL indexing and constraints?▼

PostgreSQL indexing and constraints best practices involve defining clear primary keys, applying normalization rules, and using targeted indexes to speed up queries. This Skill outlines rules for nullability and constraints to build robust schemas.

When should I use partitioning in PostgreSQL table design?▼

Partitioning in PostgreSQL table design is needed when managing large datasets like time-series or high-insert workloads to improve query performance and maintenance. This Skill covers advanced features including partitioning and row-level security.

What are common pitfalls in PostgreSQL schema design?▼

Common PostgreSQL schema design pitfalls include incorrect data type selection, missing constraints, and poor indexing strategies. This Skill addresses these frequent issues to help developers build scalable and maintainable database structures.