What is InsForge Schema Patterns?

It is a Claude Code skill that provides standardized PostgreSQL database models and Row Level Security (RLS) policies specifically optimized for the InsForge framework and PostgREST backend.

How does this skill improve database performance?

It implements industry best practices, such as automatic foreign key indexing and UNIQUE constraints on junction tables, to prevent duplicate data and slow query execution.

Can I use these patterns for non-InsForge projects?

While the query examples are optimized for InsForge, the underlying PostgreSQL schemas and RLS logic are standard SQL and can be adapted for any PostgreSQL-based application.

Does this skill include RLS policies?

Yes, every pattern includes robust Row Level Security policies to ensure that data access is restricted to authenticated users or specific organization members by default.

What types of data models are covered?

The skill covers social graph follows, many-to-many junction tables for likes, nested self-referential comment threads, and multi-tenant organization structures.

InsForge Database Schema Patterns

Name: InsForge Database Schema Patterns
Author: Activer007

byActiver007

0•

数据库管理

Provides expert PostgreSQL schema patterns and RLS policies optimized for InsForge and PostgREST applications.

InsForge Schema Patterns is a specialized Claude Code skill designed to streamline the architecting of PostgreSQL databases. It offers a library of battle-tested implementation patterns for complex data models like social graphs, many-to-many relationships, nested comment threads, and secure multi-tenant SaaS structures. By providing both the SQL definitions and the corresponding InsForge SDK queries, it ensures developers can implement secure, performant, and scalable backends while strictly adhering to Row Level Security (RLS) best practices and efficient indexing strategies.

主要功能

01Self-referential schema designs for hierarchical nested comments

02Optimized PostgreSQL indexing and unique constraint templates

03Pre-built SQL patterns for social follows and interaction systems

04Multi-tenant organization-scoped data modeling with RLS

050 GitHub stars

06Ready-to-use InsForge SDK JavaScript query examples

使用场景

01Implementing social media features like following systems and content likes

02Building hierarchical data structures like threaded discussions or file systems

03Designing a secure multi-tenant SaaS application with strict data isolation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills insforge-schema-patterns

For use in Claude.ai and ChatGPT

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