postgres-patterns

Apply PostgreSQL patterns for query tuning, indexing, and security.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill postgres-patterns-derekhu0002
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/derekhu0002/ai4pb-orchestrator/tree/main/skills/postgres-patterns
Command: npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill postgres-patterns-derekhu0002

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL patterns for query optimization, schema design, indexing, and security to speed up workloads and simplify best-practice adoption.

Core Features & Use Cases

  • Indexing patterns: choose appropriate index types (btree, GIN, BRIN) for common queries.
  • Schema design guidance: normalization, data types, and partitioning for performance.
  • Security and maintenance: Row Level Security, upserts, and maintenance patterns.

Quick Start

Apply these PostgreSQL patterns to your current schemas and queries to gain faster performance and stronger security.

Frequently Asked Questions about postgres-patterns

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

FAQPage Schema
How do I choose the right PostgreSQL index type for query optimization?

PostgreSQL index selection depends on your query patterns, choosing between btree for standard lookups, GIN for composite queries, and BRIN for large range-based datasets to optimize workload performance.

What is the best way to design a PostgreSQL schema for high performance?

Schema design for high performance involves applying normalization, selecting effective data types, and implementing table partitioning to streamline workloads and simplify best-practice adoption.

How do I implement Row Level Security policies in PostgreSQL?

Row Level Security policies are implemented using tested security patterns to restrict data access, providing robust protection across both development and production database environments.

Can I apply PostgreSQL maintenance patterns to upserts and existing production databases?

Yes, maintenance patterns for upserts and ongoing operations apply directly to production databases, ensuring query tuning and architectural recommendations execute efficiently via SQL snippets.

When should I use BRIN versus GIN indexes for database design?

BRIN indexes suit large tables with naturally ordered data ranges, while GIN indexes handle composite data types and full-text search, optimizing query performance based on specific workload patterns.