Detect, classify, and refactor long code files across multiple languages.
npx skills add https://github.com/Develata/Deve-Skills --skill code-shorters
Please help me install this Agent Skill. Skill: code-shorters Source: https://github.com/Develata/Deve-Skills/tree/main/My-Skills/code-shorters Command: npx skills add https://github.com/Develata/Deve-Skills --skill code-shorters
Large, monolithic code files across Rust, Python, C++, JavaScript, and Markdown can be hard to maintain, measure, and refactor; code-shorters automates modularization and restructuring to improve readability and maintainability.
Run the main dispatcher to analyze a repository and automatically refactor long files by delegating to language-specific sub-skills.
High-intent search queries and answers about installing and using this skill.
Automate code modularization by scanning your repository to detect long files, classify them by line count, and delegate refactoring to language-specific sub-skills. This process preserves behavior while splitting monolithic code into manageable modules across Rust, Python, C++, JS, and MD.
Identify long files by counting lines including comments, detecting language by extension, and classifying them into warning (130-249 lines) or critical (250+ lines) categories. Optional lint-based complexity analysis results drive prioritized scheduling for batch processing.
Yes, you can batch-refactor long files across multiple languages in one pass. The dispatcher sequentially triggers language-specific sub-skills to refactor Rust, Python, C++, JavaScript, and Markdown files while preserving behavior and generating a prioritized plan.
Code modularization requires a local Git repository and validates the Git environment before performing changes. It ensures Git integrity checks are applied during sequential refactoring, preserving behavior while restructuring files.
Automated code refactoring generates a prioritized plan and visualization reports. These outputs map the classified warning and critical files, providing a clear overview of batch refactoring tasks across the detected languages.
Avoid automated code modularization when your project lacks a local Git repository, contains unsupported file extensions, or requires manual architectural decisions beyond splitting files based on line count thresholds and optional complexity analysis.
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