postgresql-patterns

Automate idempotent PostgreSQL schema, migration, and query patterns.

23|7|Updated Feb 14, 2026

Search Tags:#indexing #postgresql #migrations #rls #patterns #schema-design #sql-optimization

Ready to run

npx skills add https://github.com/kinncj/MAPLE --skill postgresql-patterns-kinncj

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: postgresql-patterns
Source: https://github.com/kinncj/MAPLE/tree/main/template/.opencode/skills/postgresql-patterns
Command: npx skills add https://github.com/kinncj/MAPLE --skill postgresql-patterns-kinncj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Idempotent PostgreSQL patterns provide a structured approach to designing schemas, migrations, and queries, reducing drift and repeatable errors across environments.

Core Features & Use Cases

Migration naming and versioning: Consistent, predictable migration identifiers.
Schema patterns with proper constraints: Safe table definitions, indexes, and triggers.
Row-Level Security (RLS) and access policies: Fine-grained data access controls.
Query optimization and indexing guidance: Efficient queries and index strategies for common workloads.

Quick Start

Define a minimal, idempotent migration using these patterns to bootstrap your schema.

Frequently Asked Questions about postgresql-patterns

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

FAQPage Schema

How do I create idempotent PostgreSQL migrations that run safely multiple times?▼

Idempotent PostgreSQL migrations use conditional SQL constructs to ensure schemas apply reliably without repeatable errors. This approach enforces safe migration naming and consistent versioning, preventing database drift across development and deployment pipelines.

What are the best PostgreSQL schema design patterns for enforcing data integrity?▼

PostgreSQL schema design patterns enforce data integrity through safe table definitions, proper constraints, indexes, and triggers. Structured schema evolution ensures repeatable results and reduces schema drift across different environments.

How do I set up Row-Level Security (RLS) and access policies in PostgreSQL?▼

Row-Level Security (RLS) in PostgreSQL provides fine-grained data access controls through defined access policies. Applying structured RLS patterns ensures reliable, repeatable security configurations across your database environments.

How do I optimize PostgreSQL queries and choose the right indexing strategies?▼

PostgreSQL query optimization relies on efficient indexing strategies tailored for common workloads. Applying structured query optimization patterns ensures reliable performance tuning and repeatable results across your database deployments.

Can I use these PostgreSQL schema and migration patterns in automated deployment pipelines?▼

Yes, these PostgreSQL patterns are designed for development and deployment pipelines. They automate idempotent schema application, enforce safe SQL constructs, and ensure reliable, repeatable results across automated environments.