Does this skill help with API security?

Yes, it includes patterns for strict request validation using Zod and structured error handling to prevent sensitive data leakage during failures.

What database tools are supported by these patterns?

The patterns specifically highlight Prisma and Supabase implementation, but the architectural principles are applicable to most SQL-based relational databases and modern ORMs.

Can I use this for complex business logic like fund transfers?

Absolutely. It includes comprehensive transaction patterns that demonstrate how to safely handle multi-step database operations to maintain data consistency.

How does this handle performance issues like N+1 queries?

The skill provides specific code patterns for eager loading (includes) and field selection to ensure database queries are as efficient as possible.

Backend Architecture Patterns

Name: Backend Architecture Patterns
Author: mnthe

bymnthe

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API Development

Implements production-grade backend architectures, API designs, and database optimizations following industry best practices.

About

This skill equips Claude with standardized patterns for building robust and scalable server-side applications. It provides comprehensive guidance on designing RESTful APIs, crafting type-safe database schemas with Prisma, and implementing advanced transaction logic to prevent race conditions. By utilizing pre-defined structures for error handling, request validation with Zod, and performance optimizations like eager loading, this skill ensures that backend code is consistent, secure, and performant across various tech stacks including Supabase and Node.js environments.

Key Features

Advanced transaction management to prevent race conditions and ensure atomicity
2 GitHub stars
RESTful API design with consistent response formatting and versioning
Strict request validation patterns using Zod to ensure data integrity
Hierarchical error handling with structured classes and global middleware patterns
Type-safe database schema modeling and query optimization for Prisma and Supabase

Use Cases

Implementing reliable financial logic or multi-step operations using atomic database transactions
Optimizing database performance by resolving N+1 query issues and implementing efficient indexing
Architecting a scalable REST API for a high-traffic web application

About

Key Features

Advanced transaction management to prevent race conditions and ensure atomicity
2 GitHub stars
RESTful API design with consistent response formatting and versioning
Strict request validation patterns using Zod to ensure data integrity
Hierarchical error handling with structured classes and global middleware patterns
Type-safe database schema modeling and query optimization for Prisma and Supabase

Use Cases

Implementing reliable financial logic or multi-step operations using atomic database transactions
Optimizing database performance by resolving N+1 query issues and implementing efficient indexing
Architecting a scalable REST API for a high-traffic web application