How does this skill handle Supabase integration?

It provides specific patterns for linking auth.users (UUID) to profile tables while exposing a Nanoid public_id for external interactions, ensuring RLS remains simple.

Can I migrate existing UUID tables to use this Nanoid strategy?

Yes, the skill includes a specific Migration Pattern for adding public_id columns to existing tables and backfilling them with generated Nanoids.

Does using Nanoids affect PostgreSQL performance?

The performance impact is minimal; Nanoid generation is extremely fast (approx. 110,000 per second), and B-tree index performance is comparable to standard UUIDs.

Why use Nanoids instead of UUIDs for public identifiers?

Nanoids are shorter, URL-safe, and support custom prefixes, making them more user-friendly for APIs and browser URLs while maintaining high collision resistance.

What is the benefit of using ID prefixes?

Prefixes like 'usr_' or 'org_' provide immediate context for developers and prevent accidental ID collisions or logic errors when working across different database entities.

PostgreSQL Nanoid Identifiers

Name: PostgreSQL Nanoid Identifiers
Author: azlekov

byazlekov

データベース管理

Implements a hybrid ID strategy using Nanoids for public-facing identifiers and UUIDs for internal PostgreSQL references.

概要

This skill provides a comprehensive framework for implementing secure and user-friendly identifier strategies in PostgreSQL and Supabase environments. It advocates for a hybrid approach that leverages standard UUIDs for internal primary keys and auth.users references while using prefixed Nanoids for public APIs, URLs, and data exports. By offering production-ready SQL templates, TypeScript type definitions, and standardized prefix conventions (like usr_ or org_), it helps developers build consistent, readable, and secure database schemas that prevent internal ID leakage.

主な機能

Standardized prefix conventions for common entities like Users, Organizations, and Orders
Best practices for Row Level Security (RLS) and API response mapping
Hybrid ID architecture combining UUID internal keys with Nanoid public keys
TypeScript type definitions for type-safe, prefixed identifiers
Production-grade SQL patterns for table creation and migrations
0 GitHub stars

ユースケース

Implementing secure ID strategies in Supabase projects to obfuscate internal UUIDs
Creating human-readable and URL-safe identifiers for public-facing SaaS APIs
Standardizing database schema patterns across multi-tenant applications

概要

主な機能

Standardized prefix conventions for common entities like Users, Organizations, and Orders
Best practices for Row Level Security (RLS) and API response mapping
Hybrid ID architecture combining UUID internal keys with Nanoid public keys
TypeScript type definitions for type-safe, prefixed identifiers
Production-grade SQL patterns for table creation and migrations
0 GitHub stars

ユースケース

Implementing secure ID strategies in Supabase projects to obfuscate internal UUIDs
Creating human-readable and URL-safe identifiers for public-facing SaaS APIs
Standardizing database schema patterns across multi-tenant applications