code-smell-detector

Solid

Automated detection of code smells and anti-patterns to identify refactoring opportunities

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# Code Smell Detector Skill Automated detection of code smells, anti-patterns, and design issues that indicate deeper problems in the codebase. This skill identifies refactoring opportunities and prioritizes them by impact. ## Purpose Enable systematic detection of code smells for: - Refactoring prioritization - Technical debt identification - Code quality improvement - Migration preparation - Design pattern violations ## Capabilities ### 1. Long Method Detection - Identify methods exceeding line thresholds - Analyze parameter counts - Detect high cyclomatic complexity - Suggest extraction candidates ### 2. Large Class Identification - Detect classes with too many responsibilities - Identify god classes - Analyze class cohesion - Suggest decomposition strategies ### 3. Feature Envy Analysis - Find methods using other classes' data excessively - Identify misplaced functionality - Suggest method relocation - Map cross-class dependencies ### 4. Primitive Obsession Detection - Identify overuse of primitives - Find missing value objects - Detect stringly-typed code - Suggest domain type extraction ### 5. Parallel Inheritance Hierarchy - Detect mirrored class hierarchies - Identify inheritance coupling - Suggest hierarchy consolidation - Map inheritance relationships ### 6. Shotgun Surgery Detection - Identify changes requiring multiple file edits - Detect scattered functionality - Map change propagation patterns - Suggest consolidation points ### 7. God Class Identifica...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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