multi-tenant-saas-backend

Implement multi-tenant AI SaaS backends with RLS policies and webhook verification.

1|Updated May 11, 2026
One-click install
npx skills add https://github.com/tlennon-ie/product-building-agents --skill multi-tenant-saas-backend
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-tenant-saas-backend
Source: https://github.com/tlennon-ie/product-building-agents/tree/main/.claude/skills/multi-tenant-saas-backend
Command: npx skills add https://github.com/tlennon-ie/product-building-agents --skill multi-tenant-saas-backend

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents multi-tenant data leaks and billing bugs by standardizing how you handle JWT-to-DB access, RLS policies, webhook verification/idempotency, and credit ledger correctness in an AI SaaS backend.

Core Features & Use Cases

  • Three-client database pattern: Separate anonymous, user-scoped (JWT attached), and service-role admin usage to avoid accidental RLS bypass and cross-tenant exposure.
  • RLS policy templates: Owner-only access, public read with owner write, and org/tenant-scoped membership checks designed to be enforced consistently across tables.
  • Payment webhook hardening: Verify webhook signatures against the raw request body and enforce replay protection via event deduplication.
  • Credit ledger design with refunds: Implement atomic credit deductions, logged usage, and auto-refund when streamed AI responses fail to produce usable output.
  • Admin allowlist gating: Use environment-variable admin allowlists and auditable admin mutations to reduce privilege mistakes.

Quick Start

Ask an AI engineer to generate an end-to-end multi-tenant backend plan for your Postgres RLS schema and webhook handlers based on this Skill.

Frequently Asked Questions about multi-tenant-saas-backend

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

FAQPage Schema
How do I prevent cross-tenant data exposure in a multi-tenant SaaS backend?

To prevent cross-tenant data exposure in a multi-tenant SaaS backend, use a three-client database pattern that separates anonymous, user-scoped JWT, and service-role admin queries. This avoids accidental RLS bypass and ensures strict tenant isolation.

How do I implement row level security policies for a multi-tenant Postgres database?

Implementing row level security policies involves applying enforceable templates for owner-only access, public read with owner write, and org-scoped membership checks. Correct auth.uid casting is required to consistently enforce these rules across tables.

What is the best way to verify payment webhooks and prevent replay attacks?

The best way to verify payment webhooks and prevent replay attacks is to verify signatures against the raw request body and enforce replay protection via event deduplication. This idempotent approach ensures duplicate webhook deliveries do not trigger repeated actions.

How do I handle credit billing for streamed AI outputs without inconsistent charges?

To handle credit billing for streamed AI outputs without inconsistent charges, use deduct-before-call credit logic with an automatic refund-on-failure mechanism. This atomic credit deduction logs usage and auto-refunds when streamed responses fail to produce usable output.

Why do I need a separate service-role admin client for my multi-tenant database?

You need a separate service-role admin client for your multi-tenant database to reduce privilege mistakes and avoid accidental RLS bypass. Admin actions are gated by environment-variable allowlists and auditable mutations to maintain security boundaries.