detect-code-smells

Code smell detection identifies maintainability issues like long functions, duplication, and magic numbers in your code. Use pylint and radon to scan your project and generate a structured report showing smell type, location, severity, and recommended fixes for prioritizing refactoring efforts.

Code smells are anti-patterns and quality issues that reduce readability and increase technical debt without causing immediate failures. Detecting them early helps you maintain cleaner code, improve team velocity, and plan strategic refactoring before problems compound.

Yes, complexity measurement identifies areas with high cyclomatic and cognitive complexity that need refactoring. The skill produces complexity metrics alongside code smell detection to help you systematically prioritize which functions to simplify first.

Scan your Python codebase with this skill to generate a comprehensive quality report mapping code smells, complexity metrics, and SOLID violations. Use the structured output to identify patterns and create a prioritized refactoring roadmap for your team.

Yes, the skill leverages pylint for static analysis and radon for complexity measurement to detect smells across your Python projects. Both tools integrate into the detection pipeline to produce unified reports with actionable insights.

The skill detects long methods, code duplication, magic numbers, and SOLID principle violations. It flags maintainability problems and complexity hotspots, producing location-specific explanations and recommended fixes for each smell category.