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postgres-patterns

Guide PostgreSQL schema design, indexing strategies, and Row Level Security policies to resolve bottlenecks.

Updated Feb 5, 2026
Search Tags:#security#indexing#rls#query-optimization#postgres#schema-design#database-patterns
One-click install
npx skills add https://github.com/deepan-alve/Tcsinthacks --skill postgres-patterns-deepan-alve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: postgres-patterns
Source: https://github.com/deepan-alve/Tcsinthacks/tree/main/.claude/skill/postgres-patterns
Command: npx skills add https://github.com/deepan-alve/Tcsinthacks --skill postgres-patterns-deepan-alve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL performance bottlenecks often stem from suboptimal indexing, poorly designed schemas, and weak security patterns. This Skill provides a structured set of proven PostgreSQL patterns to optimize queries, design robust schemas, and implement security controls based on Supabase best practices.

Core Features & Use Cases

  • Indexing strategies: B-tree, GIN, and BRIN, including partial and composite indexes for common query shapes.
  • Schema design guidance: data types, constraints, normalization vs denormalization, and relation design to ensure data integrity.
  • Query optimization tips: upserts, pagination, and patterns to avoid slow scans and large sort operations.
  • Security patterns: Row Level Security (RLS) policies and safe configuration templates to protect data access.

Quick Start

Review your current PostgreSQL schema and start applying the indexing, RLS, and query-optimization patterns to improve performance and security.

Frequently Asked Questions about postgres-patterns

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

FAQPage Schema
How do I optimize slow PostgreSQL queries with better indexing?▼

Optimize PostgreSQL queries by applying targeted indexing patterns like B-tree, GIN, and BRIN indexes. This Skill guides you through partial and composite indexes to match specific query shapes, reducing slow scans and large sort operations.

What is the best way to design a PostgreSQL schema for data integrity?▼

Design a robust PostgreSQL schema by applying proven patterns for data types, constraints, and relation design. This approach ensures data integrity by carefully balancing normalization and denormalization based on your specific access requirements.

How does Row Level Security in PostgreSQL protect data access?▼

Row Level Security (RLS) protects data by enforcing strict access policies at the database level. This Skill provides safe configuration templates and RLS policies based on Supabase best practices to secure your PostgreSQL data.

Can I use PostgreSQL upsert and pagination patterns to avoid slow scans?▼

Yes, you can avoid slow scans by using PostgreSQL query optimization patterns for upserts and pagination. This Skill provides safe SQL templates that prevent large sort operations and improve overall query throughput.

When should I use BRIN indexes instead of B-tree in PostgreSQL?▼

Use BRIN indexes for large tables with naturally ordered data, and B-tree for standard equality and range queries. This Skill helps you select the best-practice indexing strategy by evaluating your specific query shapes and data patterns.

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