aiox-data-engineer

Design and optimize PostgreSQL database architectures with RLS policies and migrations.

Updated May 7, 2026
One-click install
npx skills add https://github.com/Andre-cardia/nivel-ia --skill aiox-data-engineer-andre-cardia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aiox-data-engineer
Source: https://github.com/Andre-cardia/nivel-ia/tree/main/.claude/skills/AIOX/agents/data-engineer
Command: npx skills add https://github.com/Andre-cardia/nivel-ia --skill aiox-data-engineer-andre-cardia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Database design, governance, and operational reliability for PostgreSQL-based systems, enabling scalable architectures, secure access control, and maintainable migrations across production environments.

Core Features & Use Cases

  • Database design and domain modeling for PostgreSQL and Supabase
  • RLS policy configuration, migrations, and schema governance
  • Query optimization, monitoring, and production operations

Quick Start

Design and implement a robust data layer for your project by outlining your schema requirements and migration plan.

Frequently Asked Questions about aiox-data-engineer

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

FAQPage Schema
How do I design scalable PostgreSQL database schemas for Supabase?

To design scalable PostgreSQL database schemas for Supabase, you must architect robust data layers by outlining domain models, establishing versioned migrations, and enforcing governance for production operations.

What is the best way to configure Row Level Security policies in PostgreSQL?

Configuring Row Level Security (RLS) policies in PostgreSQL involves applying schema governance rules to enforce secure access control by default, ensuring data remains protected across enterprise database environments.

How do I execute safe database migrations without downtime in PostgreSQL?

Safe database migrations without downtime in PostgreSQL require versioned schema changes and strict governance, ensuring maintainable production operations while preserving data integrity and system performance.

Can I use this approach for query optimization and monitoring in Supabase?

Yes, this approach applies to query optimization and monitoring in Supabase by implementing observability through tracking, allowing you to optimize database architectures and maintain reliable production operations.

When do I need to apply formal data modeling and governance for enterprise databases?

You need to apply formal data modeling and governance for enterprise databases when requiring scalable architectures, secure access control, and maintainable migrations across complex production environments.

How do I optimize PostgreSQL query performance for Supabase production applications?

Optimizing PostgreSQL query performance for Supabase involves structuring efficient schema designs and applying governance policies, which results in scalable architectures and reliable production operations.