do-platform-supabase

What problem does it solve?

This Skill enables developers to build scalable, vector-enabled, real-time applications on Supabase using PostgreSQL 16, the pgvector extension, Row-Level Security, and edge functions. It is tailored for multi-tenant backends with secure data access, real-time synchronization, and seamless storage integration.

Core Features & Use Cases

• PostgreSQL 16 with JSONB and advanced data types, enabling complex data modeling.
• pgvector integration for AI embeddings and semantic search.
• Row-Level Security for multi-tenant data isolation and secure tenant access.
• Real-time data synchronization using Postgres changes and presence, enabling live collaboration.
• Deno Edge Functions for serverless API endpoints and edge processing.
• Storage integration for asset handling and on-the-fly transformations.
• JWT-based authentication and secure access controls.

Use cases:

• Multi-tenant SaaS apps requiring vector search and real-time collaboration.
• AI/ML apps needing embedding storage and fast similarity queries.
• Secure data access with edge-processed auth and serverless APIs.

Quick Start

Scaffold a new Supabase project configured for PostgreSQL 16, enable pgvector, configure RLS policies, and deploy a Deno Edge Function for API routing. Then connect your frontend to use real-time subscriptions and storage features.