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supabase-optimize

Generate pre-aggregate SQL patterns for optimizing Supabase RPC performance.

440|28|Updated Feb 24, 2026
Search Tags:#supabase#sql optimization#data freshness#pre-aggregation#rpc performance
One-click install
npx skills add https://github.com/ianlkl11234s/mini-taiwan-pulse --skill supabase-optimize
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: supabase-optimize
Source: https://github.com/ianlkl11234s/mini-taiwan-pulse/tree/main/.agents/skills/supabase-optimize
Command: npx skills add https://github.com/ianlkl11234s/mini-taiwan-pulse --skill supabase-optimize

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires sqlparse, psycopg2, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the generation of pre-aggregate SQL patterns for Supabase RPCs, improving query performance and data freshness for Mini Taiwan Pulse.

Core Features & Use Cases

  • Pre-aggregate SQL Generation: Automatically generates SQL patterns for optimizing Supabase RPC performance.
  • Performance Improvement: Enhances query response times and data processing efficiency.
  • Use Case: It can be used in scenarios where Supabase RPCs exhibit slow response times or handle large volumes of data, such as in the Mini Taiwan Pulse project.

Quick Start

Generate an optimized SQL pattern for the Supabase RPC named 'get_ship_trails'.

Frequently Asked Questions about supabase-optimize

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

FAQPage Schema
How do I optimize Supabase RPC performance for slow queries handling high data volumes?▼

To optimize Supabase RPC performance, you can use pre-aggregate SQL patterns to improve query response times and data processing efficiency for complex, high-volume data aggregations.

What is pre-aggregation in SQL and how does it improve data freshness?▼

Pre-aggregation in SQL involves computing and storing aggregated data ahead of time, which reduces real-time query execution overhead and enhances both data freshness and processing efficiency.

Does this SQL optimization approach work for complex queries with real-time data aggregation needs?▼

Yes, this approach is specifically designed for Supabase environments with complex queries, high data volumes, and performance bottlenecks, particularly in projects requiring real-time data aggregation.

How do I generate pre-aggregate SQL patterns for a specific Supabase RPC?▼

You can automatically generate optimized pre-aggregate SQL patterns for specific Supabase RPCs, such as following a quick start example to generate an optimized pattern for an RPC named 'get_ship_trails'.

What are the limitations of using pre-aggregation for Supabase RPC performance?▼

Pre-aggregation requires balancing data freshness with storage overhead, meaning it is best suited for complex queries where the performance gains outweigh the cost of storing pre-computed aggregated data.

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