How does it handle code quality?

The skill applies SOLID principles, implements robust error handling, adds type hints where applicable, and ensures all code is well-documented and optimized.

Does the generated code include unit tests?

One of the core features of this skill is testability; it can automatically generate relevant unit tests and test suites for the code it produces.

Can this skill create a full project structure?

Yes, it can generate complete scaffolds including source directories, configuration files like package.json or requirements.txt, and README documentation.

Which programming languages are supported?

The skill supports all major languages including Python, JavaScript, TypeScript, Java, Go, and Rust, following the specific idiomatic best practices of each.

Can I use it to refactor existing code?

Yes, the skill is highly effective at analyzing existing snippets and refactoring them for better performance, maintainability, or pattern adherence.

Code Generation Expert

Name: Code Generation Expert
Author: partme-ai

bypartme-ai

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Herramientas para Desarrolladores

Generates high-quality, production-ready code and complete project scaffolds across multiple programming languages using industry best practices.

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The Code Generator skill empowers Claude to act as a senior software architect, capable of producing everything from granular functions and classes to entire modular project structures. It focuses on delivering clean, maintainable, and robust code by strictly adhering to SOLID principles, design patterns, and language-specific conventions. Beyond simple generation, it integrates error handling, comprehensive documentation, and unit testing into every output, making it an essential tool for rapid prototyping, building complex backend services, or creating educational code examples.

Características Principales

Built-in unit test generation and error handling logic
Automated project scaffolding including configuration and dependency files
Implementation of design patterns and clean code principles
Integrated documentation, docstrings, and usage examples
Multi-language support for Python, JS/TS, Java, Go, Rust, and more
37 GitHub stars

Casos de Uso

Rapidly generating boilerplate-heavy components like API controllers and data models
Bootstrapping a new microservice or library with standardized directory structures
Refactoring legacy code to improve performance, readability, and testability

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Características Principales

Built-in unit test generation and error handling logic
Automated project scaffolding including configuration and dependency files
Implementation of design patterns and clean code principles
Integrated documentation, docstrings, and usage examples
Multi-language support for Python, JS/TS, Java, Go, Rust, and more
37 GitHub stars

Casos de Uso

Rapidly generating boilerplate-heavy components like API controllers and data models
Bootstrapping a new microservice or library with standardized directory structures
Refactoring legacy code to improve performance, readability, and testability