Does it include patterns for preventing external collection mutation?

Yes, the skill covers advanced patterns like defensive copying and returning unmodifiable views of collections to ensure internal state remains protected.

Can this skill help with data validation?

Absolutely. It focuses on using setters and constructors to validate data before it is assigned to an object's internal state, preventing invalid configurations.

How does this skill improve code maintainability?

By hiding internal implementation details and exposing only what is necessary, it allows you to change an object's internal logic without breaking the code that depends on it.

Which programming languages are supported by this skill?

The OOP Encapsulation skill provides specific implementation patterns and best practices for Java, Python, TypeScript, and C#.

OOP Encapsulation

Name: OOP Encapsulation
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Enforces data integrity and minimizes system coupling by implementing professional encapsulation and information hiding patterns across major programming languages.

About

This skill empowers Claude to architect robust, maintainable object-oriented systems by strictly applying encapsulation principles. It provides cross-language implementation patterns for Java, Python, TypeScript, and C#, focusing on protecting internal object states through private fields, getters/setters, and defensive copying. By using this skill, developers ensure their codebases are resilient to change and maintain a clear separation between public interfaces and private implementation details, resulting in more secure and predictable software architecture.

Key Features

Implementation of defensive copying for collections and sensitive object references
Standardized business logic encapsulation within domain models to reduce external coupling
39 GitHub stars
Multi-language support for Java, Python, TypeScript, and C# encapsulation patterns
Data hiding patterns utilizing closures, private fields, and access modifiers
Validation logic integration within property setters and constructors to ensure state integrity

Use Cases

Refactoring legacy spaghetti code into well-defined, encapsulated object models
Designing domain entities for financial or enterprise systems where data integrity is critical
Creating clear public APIs for internal modules by hiding implementation complexity

About

Key Features

Implementation of defensive copying for collections and sensitive object references
Standardized business logic encapsulation within domain models to reduce external coupling
39 GitHub stars
Multi-language support for Java, Python, TypeScript, and C# encapsulation patterns
Data hiding patterns utilizing closures, private fields, and access modifiers
Validation logic integration within property setters and constructors to ensure state integrity

Use Cases

Refactoring legacy spaghetti code into well-defined, encapsulated object models
Designing domain entities for financial or enterprise systems where data integrity is critical
Creating clear public APIs for internal modules by hiding implementation complexity