Comprehensive performance optimization guide for Postgres, maintained by Supabase. Contains rules across 8 categories, prioritized by impact to guide automated
This skill provides a comprehensive set of best practices for optimizing Postgres databases, maintained by Supabase. It covers eight prioritized categories, from query performance and connection management to schema design and advanced features, helping marketers improve database efficiency, security, and scalability. The guidance includes detailed rule files with explanations, SQL examples, and performance metrics to inform better query writing, indexing, and schema decisions.
This skill is ideal for growth leads managing data pipelines reliant on Postgres, performance marketers optimizing backend data delivery, and agency strategists overseeing SQL-based reporting systems. It supports anyone responsible for maintaining database performance in marketing stacks, particularly those facing scaling challenges, security compliance with Row-Level Security (RLS), or complex query optimization needs. Users working on connection pooling or schema design to reduce latency will also find it valuable.
Practitioners typically start by reviewing existing SQL queries and schemas against the critical query performance and schema design rules to identify missing indexes or inefficient joins. Next, they assess connection management practices to optimize connection pooling and reduce overhead under load. Security workflows involve auditing RLS configurations and applying recommended patterns to safeguard sensitive data. Finally, ongoing monitoring and diagnostics help track performance metrics and adjust concurrency controls or locking strategies as campaigns scale.
Which rule categories should I prioritize when first optimizing? Query performance, connection management, and security rules have the highest impact and should be addressed first. Can I apply these practices to any Postgres setup? Yes, the guide is designed to cover general Postgres use cases with Supabase-specific tips where applicable. How do I validate improvements? Use the included EXPLAIN outputs and performance metrics from the examples to benchmark before and after applying changes.
Attach this skill to a Metaflow agent task focused on database performance or campaign data workflows to automatically surface optimization opportunities. Expect detailed feedback on query and schema improvements prioritized by impact, helping you iterate faster on backend efficiency. This skill complements workflow steps that involve SQL query generation, database auditing, or scaling decisions and integrates smoothly with monitoring tasks within Metaflow.
For broader context, see our roundup of claude skills marketing, and read Claude skills for SEO for related setup guidance.