Can I use this for complex team-based permissions?

Absolutely. It provides optimized patterns for checking team membership and organization-level access without causing the performance-heavy joins typically associated with complex RLS.

Does it support Multi-Factor Authentication (MFA) checks?

Yes, it can generate restrictive policies that verify the Authenticator Assurance Level (AAL) in the JWT to restrict sensitive operations to MFA-verified users.

Why does this skill wrap auth functions in SELECT statements?

Wrapping functions like auth.uid() in a SELECT subquery enables PostgreSQL's initPlan caching, which significantly improves performance by preventing the function from being called for every single row in a query.

Can I generate policies for specific user roles like anon or authenticated?

Yes, the skill correctly handles Supabase-specific roles using the proper TO clause syntax, ensuring that policies are only applied to the intended user groups.

Supabase RLS Policy Expert

Name: Supabase RLS Policy Expert
Author: linehaul-ai

bylinehaul-ai

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Database Management

Generates and optimizes production-ready PostgreSQL row-level security (RLS) policies following Supabase best practices.

About

The Supabase RLS Policy Expert skill provides specialized guidance for architecting secure, high-performance access control within Supabase PostgreSQL databases. It automates the creation of complex security rules for multi-tenant applications, team structures, and authenticated users while enforcing critical performance optimizations like initPlan caching and proper indexing. By following Supabase-specific conventions for auth functions and JWT handling, this skill helps developers avoid common security pitfalls and performance bottlenecks in their backend architecture.

Key Features

Best-practice validation for Supabase Auth
1 GitHub stars
Production-grade SQL policy generation
Role-based and owner-based access patterns
MFA and AAL security level enforcement
Performance optimization via subquery caching

Use Cases

Implementing granular table-level access control
Building secure multi-tenant SaaS platforms
Optimizing slow-performing RLS security rules

About

Key Features

Best-practice validation for Supabase Auth
1 GitHub stars
Production-grade SQL policy generation
Role-based and owner-based access patterns
MFA and AAL security level enforcement
Performance optimization via subquery caching

Use Cases

Implementing granular table-level access control
Building secure multi-tenant SaaS platforms
Optimizing slow-performing RLS security rules