aiox-data-engineer

Design PostgreSQL schemas, RLS policies, and query optimizations.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/ExpeditoJ/My-aiox --skill aiox-data-engineer-expeditoj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aiox-data-engineer
Source: https://github.com/ExpeditoJ/My-aiox/tree/main/.codex/skills/aiox-data-engineer
Command: npx skills add https://github.com/ExpeditoJ/My-aiox --skill aiox-data-engineer-expeditoj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates tasks related to database architecture, schema management, and optimization, reducing manual effort and errors.

Core Features & Use Cases

  • Database Schema Design: Assists in creating and modifying database schemas for various projects.
  • RLS Policies Configuration: Helps define and implement row-level security policies for data protection.
  • Query Optimization and Migrations: Aids in improving query performance and managing schema migrations.
  • Use Case: Data engineers can quickly set up and maintain databases with optimized schemas and secure access controls in Postgres or Supabase environments.

Quick Start

Load the agent source, adopt persona, and issue commands like "*create-schema" to begin designing your database setup.

Frequently Asked Questions about aiox-data-engineer

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

FAQPage Schema
How do I create and modify database schemas for PostgreSQL or Supabase?

You can create database schemas by loading the agent source, adopting the persona, and issuing commands like *create-schema to design and modify your relational database setup.

What are RLS policies and how do I implement them for row-level security?

RLS policies are row-level security rules that protect data by restricting access. You can define and implement these RLS policies to enforce secure access controls within your database.

How do I manage schema migrations and optimize query performance?

Schema migrations and query optimization are handled by automating workflows that improve query performance and manage structural changes, reducing manual effort and errors in backend data systems.

Does this database optimization approach work with Supabase environments?

Yes, this approach supports data engineers working with PostgreSQL or similar platforms, specifically enabling schema creation, RLS policies, and query tuning within Supabase environments.

What is the best way to automate database architecture and security policy management?

Automating database architecture and security policy management is best achieved by streamlining schema creation, RLS policy configuration, and migration workflows to reduce manual effort and errors.