moai-platform-supabase

Set up Row-Level Security (RLS) in Supabase by configuring PostgreSQL policies that restrict data access per tenant. This blueprint provides modular guidance for implementing RLS to ensure secure multi-tenant data isolation across your full-stack application.

Build real-time collaborative apps using Supabase by leveraging real-time subscriptions and presence support. This Skill provides the architecture blueprint for integrating real-time updates into multi-tenant dashboards and collaborative editors.

Yes, Supabase supports PostgreSQL 16 with pgvector for vector embeddings and AI-powered search. This Skill outlines how to implement AI-assisted search across documents using pgvector within your full-stack platform architecture.

Yes, you can use Supabase Edge Functions for serverless workflows alongside Storage integration for media handling. This blueprint covers configuring edge-processing capabilities to manage serverless workflows and media within your application.

The best way to architect a scalable multi-tenant platform on Supabase is combining PostgreSQL 16, RLS, real-time subscriptions, and pgvector. This Skill provides a cohesive blueprint for operating secure, scalable full-stack apps.

You need PostgreSQL 16 configured with pgvector, RLS, and real-time subscriptions to fully utilize this Supabase architecture blueprint. Initializing a Supabase project with these components enables secure, AI-driven, real-time application capabilities.