Does this skill work with any Postgres database?

Yes, while the guidelines are maintained by Supabase, the majority of the optimization and schema rules apply to any standard PostgreSQL environment.

Can this skill help with database security?

Absolutely. It contains specific categories for Security and Row-Level Security (RLS) to ensure your data access patterns are secure and correctly implemented.

How does this skill improve query performance?

It identifies missing indexes, suggests more efficient join patterns, and provides guidance on using EXPLAIN output to diagnose and fix slow SQL queries.

What is the Postgres Best Practices skill for Claude Code?

It is a specialized plugin that provides Claude with domain-specific knowledge to optimize Postgres queries, design better schemas, and implement security features like RLS based on Supabase standards.

Postgres Optimization & Best Practices

Name: Postgres Optimization & Best Practices
Author: claudiodearaujo

byclaudiodearaujo

0•

데이터베이스 관리

Optimizes Postgres database performance and schema design using Supabase-vetted best practices and implementation patterns.

The Postgres Best Practices skill empowers Claude to act as a senior database engineer, providing expert guidance on query optimization, schema design, and security configuration. It leverages high-impact rules maintained by Supabase to address common bottlenecks such as missing indexes, inefficient data access patterns, and improper connection management. Whether you are building a new application or troubleshooting performance issues in an existing database, this skill ensures your Postgres implementation is scalable, secure, and performant.

주요 기능

01Scalable schema design and data modeling guidance

02Critical query performance analysis and indexing strategies

03Secure Row-Level Security (RLS) implementation patterns

040 GitHub stars

05Advanced Postgres feature configuration and diagnostic rules

06Connection management and pooling optimization

사용 사례

01Auditing existing database schemas for performance bottlenecks

02Designing multi-tenant database architectures with robust RLS security

03Refactoring slow-running SQL queries to improve response times

주요 기능

01Scalable schema design and data modeling guidance

02Critical query performance analysis and indexing strategies

03Secure Row-Level Security (RLS) implementation patterns

040 GitHub stars

05Advanced Postgres feature configuration and diagnostic rules

06Connection management and pooling optimization

사용 사례

01Auditing existing database schemas for performance bottlenecks

02Designing multi-tenant database architectures with robust RLS security

03Refactoring slow-running SQL queries to improve response times