supabase-postgres-best-practices

Apply Postgres performance best practices to optimize queries, indexes, and configuration in Supabase.

4|1|Updated Jan 16, 2026

Search Tags:#performance #indexing #optimization #supabase #sql #best-practices #postgres

Ready to run

npx skills add https://github.com/jankneumann/agentic-coding-tools --skill supabase-postgres-best-practices-jankneumann

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: supabase-postgres-best-practices
Source: https://github.com/jankneumann/agentic-coding-tools/tree/main/.agents/skills/supabase-postgres-best-practices
Command: npx skills add https://github.com/jankneumann/agentic-coding-tools --skill supabase-postgres-best-practices-jankneumann

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Supabase-powered Postgres deployments often suffer from inefficient queries, poorly designed indexes, and misconfigured settings that degrade performance and reliability. This skill consolidates proven best practices to help developers diagnose and fix performance bottlenecks.

Core Features & Use Cases

Guided posture for query optimization, indexing strategies, and maintenance tasks across Postgres.
Practical, concrete SQL examples and configuration tips to implement in production.
Real-world use cases such as optimizing large tables, implementing partial indexes, and tuning VACUUM/ANALYZE for stable runtimes.

Quick Start

Review and apply the guidelines to your Postgres setup in a Supabase project to start optimizing performance immediately.

Frequently Asked Questions about supabase-postgres-best-practices

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

FAQPage Schema

How do I optimize slow Postgres queries in a Supabase application?▼

Improve Postgres query performance by analyzing explain outputs and applying targeted indexing strategies. This skill provides concrete SQL examples and configuration tips to diagnose and fix inefficient queries within Supabase-backed applications.

What is the best way to design indexes for large Postgres tables?▼

The best way to design indexes for large tables is implementing partial indexes and targeted index strategies. This approach consolidates proven best practices to maintain stable runtimes and improve query performance without degrading database reliability.

When do I need to tune VACUUM and ANALYZE for Postgres performance?▼

Tune VACUUM and ANALYZE when large tables experience degraded performance or unstable runtimes. Applying configuration best practices ensures proper maintenance tasks run efficiently, keeping your Supabase Postgres deployment reliable and performant.

Can I use these Postgres best practices for schema configuration across multiple services?▼

Yes, these Postgres best practices apply to overall schema configuration across multiple services. The guidelines cover query tuning, index design, partitioning, and vacuum tuning to optimize performance throughout your entire Supabase-backed application infrastructure.

Does this skill provide SQL examples and explain outputs for performance tuning?▼

Yes, the skill provides concrete SQL examples, explain outputs, and performance metrics. These resources guide automated optimization by illustrating exactly how to apply Postgres best practices to your specific Supabase database configuration.