Does the generated code include documentation?

Absolutely. One of the core principles of this skill is to provide complete documentation, including docstrings and usage examples for every module.

How does it handle code quality and testing?

The skill follows industry best practices like SOLID principles and design patterns, and it can automatically generate unit tests to ensure code robustness.

Can I use this skill to create a full project structure?

Yes, the skill includes project scaffolding capabilities that generate folders, configuration files (like package.json or requirements.txt), and READMEs.

Which programming languages does this skill support?

It supports a wide range of languages including Python, JavaScript, TypeScript, Java, Go, Rust, and many other common programming environments.

AI Code Generator

Name: AI Code Generator
Author: partme-ai

bypartme-ai

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开发者工具

Generates high-quality, production-ready code modules, classes, and full project structures across multiple programming languages.

关于

The AI Code Generator skill empowers Claude to produce standardized, well-documented, and performant code that adheres to industry best practices and design patterns. Whether you are scaffolding a new project from scratch, implementing complex algorithms, or refactoring legacy modules, this skill ensures consistent formatting, robust error handling, and comprehensive unit test generation. It bridges the gap between conceptual logic and production-grade implementation, making it an essential tool for rapid application development, code examples, and educational demonstrations.

主要功能

Automated project scaffolding with standard configuration files
Multi-language support including Python, JS/TS, Java, Go, and Rust
Built-in error handling and edge case validation logic
37 GitHub stars
Performance optimization and design pattern implementation
Standardized documentation and docstring generation for all modules

使用场景

Generating reusable utility libraries with full unit test coverage
Refactoring existing code snippets to follow SOLID principles
Rapidly bootstrapping new full-stack projects with standardized structures

关于

主要功能

Automated project scaffolding with standard configuration files
Multi-language support including Python, JS/TS, Java, Go, and Rust
Built-in error handling and edge case validation logic
37 GitHub stars
Performance optimization and design pattern implementation
Standardized documentation and docstring generation for all modules

使用场景

Generating reusable utility libraries with full unit test coverage
Refactoring existing code snippets to follow SOLID principles
Rapidly bootstrapping new full-stack projects with standardized structures