Is this different from a standard linter?

Yes, while linters focus on syntax and style, this skill analyzes architectural concerns, logic distribution, and structural health across the entire project.

Can I export the results to my project management tool?

Yes, the skill can generate a REFACTORING_TICKETS.md file formatted as actionable tickets ready to be copied into tools like GitHub Issues or Jira.

How does it define 'messy code'?

It uses specific metrics like file length (e.g., >500 lines), cyclomatic complexity, deeply nested directory structures, and language-specific anti-patterns like prop drilling in React.

Which programming languages does this skill support?

The skill currently provides specialized analysis patterns for Go, Python, TypeScript, and React, though it can perform general structure surveys on most codebases.

Does it automatically change my code?

No, it focuses on analysis and reporting. It provides actionable recommendations and can generate issue tickets, but it leaves the final implementation to the developer to ensure safety.

Refactoring Analysis

Name: Refactoring Analysis
Author: Zate

byZate

보안 및 테스팅

Analyzes codebases to identify technical debt, architectural complexity, and refactoring opportunities across multiple programming languages.

소개

This skill provides an automated, comprehensive codebase audit designed to detect maintainability hurdles and architectural flaws. By scanning for language-specific anti-patterns in Go, Python, and TypeScript/React, it identifies oversized files, complex functions, and poor separation of concerns. It goes beyond simple linting by offering an interactive vetting process where users can approve specific findings before the tool generates actionable reports or ready-to-use issue tickets. It is an essential capability for developers planning cleanup efforts, reducing technical debt, or onboarding to unfamiliar, large-scale projects.

주요 기능

0 GitHub stars
Automated codebase health assessments for Go, Python, and TypeScript/React
Language-specific analysis including React hook abuse and Go interface pollution
Detection of 'God objects,' high cyclomatic complexity, and code duplication
Flexible report generation in markdown format or ready-to-use issue tickets
Interactive vetting process to prioritize findings before final reporting

사용 사례

Planning a sprint dedicated to reducing technical debt and improving maintainability
Auditing the health of a growing project before making major architectural changes
Onboarding to a legacy codebase and identifying initial cleanup priorities

소개

주요 기능

0 GitHub stars
Automated codebase health assessments for Go, Python, and TypeScript/React
Language-specific analysis including React hook abuse and Go interface pollution
Detection of 'God objects,' high cyclomatic complexity, and code duplication
Flexible report generation in markdown format or ready-to-use issue tickets
Interactive vetting process to prioritize findings before final reporting

사용 사례

Planning a sprint dedicated to reducing technical debt and improving maintainability
Auditing the health of a growing project before making major architectural changes
Onboarding to a legacy codebase and identifying initial cleanup priorities