multi-tenancy-row-level

What problem does it solve?

Multi-tenant SaaS applications face critical risk of cross-tenant data leaks when application code forgets to filter queries by tenant ID, or when database permissions are misconfigured, leading to compliance violations, regulatory fines, and permanent loss of customer trust.

Core Features & Use Cases

• Automated RLS Policy Implementation: Generates production-ready Postgres Row-Level Security policies that automatically scope all read and write operations to the correct tenant, even if application code omits tenant filters.
• Multi-Language Support: Includes implementation patterns for TypeScript (Drizzle, Prisma), Python (SQLAlchemy), C# (EF Core), and Java (Hibernate) data layers.
• CI Integration: Provides pre-built test patterns and CI check scripts to validate cross-tenant isolation on every pull request, catching leaks before they reach production.
• Use Case: For a B2B SaaS app storing client project data, this skill ensures that a user from Org A can never access, modify, or delete projects belonging to Org B, even if a developer accidentally writes a query without an org_id filter.

Quick Start

Use the multi-tenancy-row-level skill to implement Postgres RLS policies for your SaaS app's tenant-scoped database tables to enforce automatic cross-tenant data isolation.