Does it handle multi-line comments?

Yes, it detects both single-line (e.g., // or #) and multi-line (e.g., /* */ or ) comments depending on the file type.

Are Python docstrings included in the extraction?

No, multi-line string docstrings in Python are intentionally skipped to preserve documentation while focusing on implementation comments.

How is the extracted data formatted?

The data is output as a structured JSON object, making it easy for AI agents or external tools to process the comments programmatically.

Can I extract comments only from my current changes?

Yes, the skill can target 'unstaged' files or a specific branch to limit extraction to the code you are currently working on.

Which programming languages does this skill support?

It supports a wide range of languages including Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, PHP, and Shell scripts.

Code Comment Extractor

Name: Code Comment Extractor
Author: rp1-run

byrp1-run

•

개발자 도구

Extracts and analyzes code comments across multiple programming languages to facilitate documentation audits and automated code cleanup.

The Code Comment Extractor skill automates the identification and extraction of comments from files within a Git repository. By targeting specific scopes like branches, unstaged changes, or commit ranges, it provides developers and AI agents with a structured JSON manifest containing comment text, line numbers, and surrounding context. This skill is essential for performing automated documentation audits, preparing for large-scale comment refactoring, and ensuring code quality by analyzing comment patterns across polyglot codebases including Python, JavaScript, Go, and Rust.

주요 기능

01Automated detection and skipping of binary files and large assets

0211 GitHub stars

03Structured JSON output containing comment content and line-by-line context

04Line-scoped filtering to focus specifically on changed code areas

05Git-scoped extraction targeting branches, unstaged files, or commit ranges

06Multi-language support for Python, JavaScript, Go, Rust, C++, and more

사용 사례

01Automated auditing of code documentation coverage before a major release

02Analyzing comment patterns to identify areas of technical debt or complex logic

03Cleaning up legacy 'TODO' comments or temporary notes during refactoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rp1-run/rp1 code-comments

For use in Claude.ai and ChatGPT

Download Skill