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GitHub Skill

detect-code-smells

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

HomericIntelligence☆ 14 Repository stars4 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-03-11
Index updated
2026-03-11
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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