Supabase Database Architecture

Design PostgreSQL schemas with RLS policies for Supabase applications.

Updated Aug 23, 2026

Search Tags:#postgresql #rls #backend #supabase #database schema #data persistence

Ready to run

npx skills add https://github.com/rylezhou/arlis --skill supabase-database-architecture

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Supabase Database Architecture
Source: https://github.com/rylezhou/arlis/tree/main/.agent/skills/supabase
Command: npx skills add https://github.com/rylezhou/arlis --skill supabase-database-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust and secure database schema for Arlis's backend using Supabase (PostgreSQL), ensuring efficient data management for user applications, documents, and agent execution history.

Core Features & Use Cases

Schema Design: Defines core tables (applications, documents, agent_tasks) with appropriate fields and data types.
Row Level Security (RLS): Implements critical security policies to ensure users can only access their own data.
Advanced Features: Includes blueprints for integrating pgvector for semantic search and full-text search capabilities.
Use Case: When developing new features that require storing user application data or tracking agent actions, consult this Skill for the correct table structures, RLS policies, and best practices to maintain data integrity and security.

Quick Start

Use the Supabase Database Architecture skill to create the applications table with the provided SQL schema.

Frequently Asked Questions about Supabase Database Architecture

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

FAQPage Schema

How do I design a Supabase database schema for user applications and agent tasks?▼

To design a Supabase database schema, define PostgreSQL tables for applications, documents, and agent tasks with appropriate fields and data types to ensure efficient backend data management for user execution history.

How does Row Level Security work for isolating user data in PostgreSQL?▼

Row Level Security (RLS) isolates user data in PostgreSQL by enforcing strict database policies on tables, ensuring users can only access their own applications and documents at the database level.

Can I use pgvector with Supabase for semantic search?▼

Yes, you can use pgvector with Supabase for semantic search. The database architecture includes blueprints for integrating pgvector to support advanced vector similarity queries alongside standard data persistence.

What is the best way to structure documents and applications tables in Supabase?▼

The best way to structure tables in Supabase is to define core tables like applications and documents with specific fields, then apply RLS policies to maintain data integrity and isolate user access securely.

How do I add full-text search indexing to a Supabase database schema?▼

To add full-text search indexing to a Supabase database schema, implement the advanced feature blueprints provided in the architecture, which support text search capabilities alongside pgvector for semantic queries.

Do I need to configure RLS policies for every table in my Supabase backend?▼

You need RLS policies for tables containing user-specific data like applications and documents. Configuring RLS on these tables ensures critical data isolation and prevents unauthorized access across your backend.