How does Nette Schema handle missing optional fields?

Fields are optional by default and can be assigned default values. You can use the required() method to explicitly mark a field as mandatory.

Does this skill support custom validation logic?

Yes, you can implement custom validation using the assert() method for boolean checks or the transform() method to modify the data during the validation process.

What is the primary use of the Nette Schema skill?

The Nette Schema skill is used to define rules for validating and normalizing data structures, such as API inputs or configuration files, ensuring they meet specific type and constraint requirements.

Can I use this skill to cast data to PHP classes?

Yes, Nette Schema supports casting validated data directly to PHP classes using the castTo() method, even supporting constructor-based instantiation.

Can I validate arrays of specific types?

Absolutely. You can use Expect::arrayOf() or Expect::listOf() to ensure that all items within an array match a specific type or a nested schema.

Nette Schema Data Validation

Name: Nette Schema Data Validation
Author: nette

bynette

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API Development

Validates and normalizes complex data structures, configuration files, and API inputs using the Nette Schema library.

About

Nette Schema is a robust tool for defining, validating, and normalizing data structures in PHP applications. This skill enables Claude to assist with creating clean, type-safe schemas using the Expect class, handling everything from basic data types to complex nested structures and union types. It is an essential utility for ensuring configuration integrity, sanitizing API payloads, and automating the transformation of raw input into predictable, validated objects or arrays, significantly reducing boilerplate validation code.

Key Features

Define complex data structures using the intuitive Expect class syntax
Implement strict constraints including regex patterns, ranges, and custom assertions
Generate detailed error messages and warnings for validation failures
Normalize and cast inputs automatically to PHP objects or specific types
Support for advanced data structures like union types, enumerations, and nested arrays
29 GitHub stars

Use Cases

Validating and sanitizing incoming REST API request payloads and parameters
Ensuring application configuration files match required structures with sensible defaults
Normalizing messy data from external sources into strictly typed PHP DTOs

About

Key Features

Define complex data structures using the intuitive Expect class syntax
Implement strict constraints including regex patterns, ranges, and custom assertions
Generate detailed error messages and warnings for validation failures
Normalize and cast inputs automatically to PHP objects or specific types
Support for advanced data structures like union types, enumerations, and nested arrays
29 GitHub stars

Use Cases

Validating and sanitizing incoming REST API request payloads and parameters
Ensuring application configuration files match required structures with sensible defaults
Normalizing messy data from external sources into strictly typed PHP DTOs