Which programming languages does this skill support?

It supports a wide range of languages including JavaScript, TypeScript, Python, and Java, automatically detecting the language based on file extensions or syntax patterns.

How do I trigger the comment generation?

You can activate the skill by asking Claude to 'add comments to this function,' 'document this code,' 'add docstrings,' or 'explain this with comments.'

Can it explain complex logic or just basic functions?

It is specifically designed to identify complex logic and provide inline comments that explain 'why' a piece of code exists, rather than just stating 'what' the syntax is doing.

Does it follow specific documentation standards?

Yes, it follows industry-standard formatting like JSDoc for web languages, standard PEP-compliant docstrings for Python, and JavaDoc for Java projects.

Code Comment & Docstring Generator

Name: Code Comment & Docstring Generator
Author: Dexploarer

byDexploarer

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학습 및 문서화

Automatically generates standardized docstrings and meaningful inline comments across multiple programming languages.

소개

The Code Comment & Docstring Generator skill streamlines the software documentation process by creating comprehensive, industry-standard documentation for your functions, classes, and complex logic. It intelligently identifies the programming language to apply correct formatting—such as JSDoc for JavaScript, Google or NumPy styles for Python, and JavaDoc for Java—ensuring your codebase remains maintainable and readable. By focusing on the 'why' behind logic rather than just the 'what,' it provides high-value explanations that assist in onboarding, API reference generation, and long-term code maintenance.

주요 기능

Generation of usage examples for functions and classes
2 GitHub stars
Language-specific docstring formatting (JSDoc, Python, JavaDoc)
Context-aware inline comments explaining complex logic
Automatic identification of parameters, return types, and exceptions
Support for TODO and FIXME annotations for technical debt

사용 사례

Preparing public-facing APIs with standardized documentation
Documenting legacy codebases to improve team readability
Explaining complex algorithms or mathematical logic with inline notes

소개

주요 기능

Generation of usage examples for functions and classes
2 GitHub stars
Language-specific docstring formatting (JSDoc, Python, JavaDoc)
Context-aware inline comments explaining complex logic
Automatic identification of parameters, return types, and exceptions
Support for TODO and FIXME annotations for technical debt

사용 사례

Preparing public-facing APIs with standardized documentation
Documenting legacy codebases to improve team readability
Explaining complex algorithms or mathematical logic with inline notes