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postgres-patterns

Provide SQL patterns for PostgreSQL indexing, schema design, and Row Level Security.

3|2|Updated Mar 8, 2026
Search Tags:#security#indexing#postgresql#sql#query-optimization#database-design
One-click install
npx skills add https://github.com/agentmatters/mullai-bot --skill postgres-patterns-agentmatters
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/agentmatters/mullai-bot/tree/main/src/Mullai.Skills/Skills/claude-code-everything/postgres-patterns
Command: npx skills add https://github.com/agentmatters/mullai-bot --skill postgres-patterns-agentmatters

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

Core Features & Use Cases

  • Indexing & data types: Patterns for B-tree, GIN/BRIN indexes and optimal data types to accelerate queries.
  • Schema design & constraints: Guidance on tables, relationships, and constraint strategies for data integrity.
  • Security & policy patterns: Row Level Security and access-control implementations for safe data access.
  • Use Case: Apply patterns to design a transactional application schema with fast analytics queries and secure data access.

Quick Start

Review the PostgreSQL patterns guide to optimize a new or existing database schema and queries.

Frequently Asked Questions about postgres-patterns

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

FAQPage Schema
How do I optimize PostgreSQL queries for faster performance?▼

Optimize PostgreSQL queries by applying structured indexing patterns like B-tree, GIN, and BRIN indexes alongside optimal data type selections to accelerate data retrieval and analytics workloads.

What is the best way to implement Row Level Security in Supabase?▼

Implement Row Level Security in Supabase and PostgreSQL using structured access-control patterns that enforce safe data access policies and secure multi-tenant database interactions.

When should I use partial or composite indexes in a PostgreSQL schema?▼

Use partial or composite PostgreSQL indexes when targeting specific query conditions, reducing index storage overhead, and optimizing complex multi-column search operations within your database design.

Can I use these database design patterns for an existing schema?▼

Yes, you can apply these PostgreSQL patterns to existing database schemas to tune queries, refine indexing strategies, and implement security policies without needing a full database rebuild.

How do I design a PostgreSQL schema for both transactional and analytics queries?▼

Design a transactional PostgreSQL schema supporting fast analytics by applying structured schema design constraints, relationship guidance, and specific indexing strategies to maintain data integrity and query speed.

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