code-smell-detector
byarabelatso· 59 skills
Identify and report code smells indicating poor design or maintainability issues in Python code, including duplicate code, magic numbers, hardcoded values, God classes, feature envy, inappropriate intimacy, data clumps, primitive obsession, and long parameter lists. Use when conducting code quality audits, preparing for refactoring, improving codebase maintainability, or performing design reviews. Produces markdown reports with severity ratings, locations, descriptions, and specific refactoring recommendations with before/after examples. Triggers when users ask to find code smells, identify design issues, suggest refactorings, improve code quality, or detect maintainability problems.
How to install code-smell-detector?
arabelatso/skills-4-se/code-smell-detector
$npx -y skills add arabelatso/skills-4-se --skill code-smell-detectorInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/arabelatso/skills-4-se" --skill "arabelatso/skills-4-se/code-smell-detector"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/arabelatso/skills-4-se" that are relevant to the current task. Run `npx skills add "https://github.com/arabelatso/skills-4-se"` and select the relevant skills, then follow their instructions.
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