role-backend:data-validation

Implement data validation with Zod, Joi, class-validator, Pydantic, and JSON Schema.

14|3|Updated Feb 22, 2026

Search Tags:#api #validation #data integrity #schema #middleware #dto

Ready to run

npx skills add https://github.com/rnavarych/alpha-engineer --skill role-backend-data-validation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: role-backend:data-validation
Source: https://github.com/rnavarych/alpha-engineer/tree/main/plugins/roles/role-backend/skills/data-validation
Command: npx skills add https://github.com/rnavarych/alpha-engineer --skill role-backend-data-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the critical need for reliable data validation across various programming languages and frameworks, ensuring data integrity and preventing errors before they propagate through your system.

Core Features & Use Cases

Library Agnostic: Supports Zod, Joi, class-validator, Pydantic, and JSON Schema.
Comprehensive Validation: Covers DTOs, input sanitization, type coercion, custom validators, middleware, and error formatting.
Use Case: When building an API, use this Skill to define and enforce strict validation rules for incoming request payloads, ensuring only valid data reaches your business logic.

Quick Start

Use the data-validation skill to choose a validation library for a new TypeScript project.

Frequently Asked Questions about role-backend:data-validation

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

FAQPage Schema

How do I validate API request payloads using different libraries in my backend?▼

You can validate API request payloads by defining DTOs and applying validation middleware. This Skill supports implementing request validation using Zod, Joi, class-validator, Pydantic, and JSON Schema to ensure data integrity before reaching business logic.

What is the best way to define data contracts and DTOs across multiple frameworks?▼

Defining data contracts and DTOs involves establishing strict schemas for input sanitization and type coercion. This Skill implements DTO patterns and custom validators across multiple libraries to enforce consistent data contracts in your API.

How do I format validation errors for API responses when input sanitization fails?▼

Formatting validation errors for API responses requires intercepting invalid data during middleware processing. This Skill covers error formatting to standardize the output of validation failures from schema checks and custom validators.

Can I use Pydantic and class-validator for both type coercion and input sanitization?▼

Yes, Pydantic and class-validator are supported for type coercion and input sanitization. This Skill implements comprehensive validation rules using these libraries alongside Zod, Joi, and JSON Schema to sanitize API inputs.

When do I need validation middleware versus defining schemas for form validators?▼

You need validation middleware when intercepting API requests to enforce data integrity before business logic execution. Defining schemas is necessary for building form validators or establishing strict data contracts for incoming payloads.

Does this data validation approach support JSON Schema for custom validators?▼

Yes, JSON Schema is fully supported alongside Zod, Joi, class-validator, and Pydantic. You can implement custom validators and define strict validation rules using JSON Schema to ensure valid data reaches your system.