role-backend:data-validation

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.

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.

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.

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.

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.

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.