Does it handle custom validation logic?

Absolutely. It provides patterns for implementing custom validators for specific formats like currency, phone numbers, or complex cross-field dependencies.

Which validation libraries does this skill support?

It supports a wide range of popular libraries including Zod, Joi, class-validator, Pydantic, and JSON Schema, allowing you to choose the best fit for your stack.

Can I use this for both frontend and backend?

Yes, the skill promotes sharing schemas across the stack, especially in monorepos, to maintain consistent data contracts between the client and server.

What is the benefit of using DTOs with this skill?

DTOs allow you to explicitly define exactly what data is exposed or accepted, preventing accidental data leaks from your internal database models.

How does this help with API security?

It enforces 'fail fast' principles, strips unknown fields to prevent mass assignment attacks, and ensures all inputs are sanitized at every architectural boundary.

Backend Data Validation

Name: Backend Data Validation
Author: rnavarych

byrnavarych

•

Desarrollo de API

Implements robust data validation and sanitization for backend APIs using industry-standard libraries like Zod, Pydantic, and Joi.

This skill empowers Claude to architect and implement comprehensive data validation strategies across the backend stack. It provides specialized knowledge for designing request/response Data Transfer Objects (DTOs), configuring popular libraries, and building custom validation middleware. By enforcing strict schemas at every boundary and stripping unknown fields, it helps developers prevent security vulnerabilities like mass assignment, ensure type safety, and provide consistent, user-friendly error reporting for high-performance applications.

Características Principales

01Schema composition and reusable DTO design patterns

02Automated input sanitization and explicit type coercion

03Custom validator implementation for complex domain logic

04Multi-library support including Zod, Joi, Pydantic, and JSON Schema

0511 GitHub stars

06Standardized error formatting and middleware integration

Casos de Uso

01Designing secure API request and response contracts

02Standardizing error responses across microservices architectures

03Implementing cross-field validation for complex business forms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rnavarych/alpha-engineer data-validation

For use in Claude.ai and ChatGPT

Características Principales

01Schema composition and reusable DTO design patterns

02Automated input sanitization and explicit type coercion

03Custom validator implementation for complex domain logic

04Multi-library support including Zod, Joi, Pydantic, and JSON Schema

0511 GitHub stars

06Standardized error formatting and middleware integration

Casos de Uso

01Designing secure API request and response contracts

02Standardizing error responses across microservices architectures

03Implementing cross-field validation for complex business forms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rnavarych/alpha-engineer data-validation

For use in Claude.ai and ChatGPT