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detect-code-smells

@mvillmow/ml-odyssey
6
0

Identify code quality issues and anti-patterns. Use when reviewing code for maintainability problems.

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SKILL.md

name detect-code-smells
description Identify code quality issues and anti-patterns. Use when reviewing code for maintainability problems.
mcp_fallback none
category analysis
tier 2

Detect Code Smells

Identify code quality issues, anti-patterns, and maintainability problems that suggest need for refactoring.

When to Use

  • Code review before merging
  • Identifying refactoring priorities
  • Mentoring and code quality improvement
  • Planning technical debt reduction

Quick Reference

# Python code smell detection
pip install pylint radon
pylint --disable=all --enable=convention,refactor module.py
radon cc -a module.py  # Cyclomatic complexity
radon mi -s module.py  # Maintainability index

Workflow

  1. Scan for patterns: Identify common code smell patterns (long functions, duplication, magic numbers)
  2. Check complexity: Measure cyclomatic and cognitive complexity
  3. Evaluate naming: Check for unclear variable/function names
  4. Review structure: Identify violations of SOLID principles
  5. Document findings: List smells with severity and recommendations

Output Format

Code quality report:

  • Code smell type (duplication, long method, magic number, etc.)
  • Location (file:line)
  • Severity (critical/high/medium/low)
  • Explanation of the issue
  • Suggested fix or refactoring approach

References

  • See CLAUDE.md > SOLID principles for design guidance
  • See CLAUDE.md > DRY and KISS principles for quality standards
  • See refactor-code skill for applying fixes