Is it suitable for standard Postgres databases not hosted on Supabase?

While prioritized for Supabase users, the majority of the optimization rules apply to standard Postgres 13+ environments for general performance and security improvements.

What areas of database management are covered?

The skill covers 8 prioritized categories including Query Performance, Connection Management, Security/RLS, Schema Design, Concurrency, and Monitoring.

How does this skill help with SQL performance?

It analyzes your queries against Postgres execution plan metrics and provides optimized SQL versions based on Supabase's high-performance benchmarks and indexing rules.

Can it help with Supabase-specific features?

Yes, it includes specific guidance for Supabase features like Row-Level Security (RLS), connection pooling (Supavisor), and platform-specific configurations.

Does it provide concrete code examples?

Yes, the skill provides side-by-side 'Incorrect vs. Correct' SQL examples to clearly demonstrate the impact of specific architectural or query changes.

Supabase Postgres Best Practices

Name: Supabase Postgres Best Practices
Author: heyflouai

byheyflouai

0•

Database Management

Optimizes Postgres database performance and security following Supabase's expert standards for schema design and query execution.

This skill integrates comprehensive Postgres performance optimization guidelines directly into Claude, enabling developers to write, review, and optimize database configurations with Supabase-specific expertise. It covers critical areas such as query plan analysis, connection management, Row-Level Security (RLS) implementation, and advanced indexing strategies. By applying prioritized rules—from critical query performance to incremental schema enhancements—this skill ensures that your database architecture is scalable, secure, and production-ready through detailed SQL examples and performance metrics.

Key Features

01Guidance on efficient connection pooling and session management strategies.

02Schema design recommendations including partial indexing and data partitioning.

03Detailed 'Incorrect vs. Correct' SQL examples with performance metric analysis.

04Best practices for Row-Level Security (RLS) and database security auditing.

05Automated SQL query optimization based on Postgres execution plans.

060 GitHub stars

Use Cases

01Optimizing slow-running SQL queries in a Supabase or Postgres production environment.

02Designing high-performance database schemas and indexing strategies for new applications.

03Auditing Row-Level Security (RLS) policies for security vulnerabilities and performance bottlenecks.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add heyflouai/ikf-central-dashboard supabase-postgres-best-practices

For use in Claude.ai and ChatGPT

Download Skill