ln-626-dead-code-auditor

This Skill audits dead code by analyzing your codebase using linters and grep patterns to identify unreachable code, unused imports, variables, and functions, providing a comprehensive technical debt compliance score.

The best way to detect legacy backward compatibility shims is through legacy pattern auditing, which identifies deprecated patterns and outdated code segments to reduce technical debt and improve maintainability.

Yes, dead code detection works for both Python and JavaScript, requiring specific Python and JavaScript linting tools and shell utilities to perform comprehensive analysis of unreachable code and unused assets.

Technical debt is measured during a code audit by analyzing the codebase for unused assets, commented-out code, and legacy patterns, then aggregating these findings into a compliance score indicating project maintainability.

Yes, you can identify commented-out code blocks automatically, as the Skill flags commented-out code blocks alongside unreachable code and unused variables during its linter and grep pattern analysis.

You should run a dead code audit during quarterly reviews or before major refactoring to identify and remove unreachable code, ensuring a cleaner and more efficient project with reduced technical debt.