Technical Debt Management

About

This skill transforms subjective technical debt assessments into a data-driven strategy by implementing the industry-standard SQALE methodology. It provides a comprehensive framework for measuring remediation costs, categorizing code smells, and prioritizing work using a value-effort matrix. By generating phased paydown roadmaps and establishing prevention strategies like CI/CD gates, it helps development teams reduce maintenance overhead and improve codebase health with a documented 4.5x speedup over manual audits.

Key Features

• 15 GitHub stars
• Value-Effort prioritization matrix for high-ROI refactoring
• SQALE-based debt quantification and TD ratio calculation
• Prevention strategies including pre-commit complexity gates
• Automated code smell categorization across five taxonomy types
• Phased paydown roadmaps with clear remediation estimates

Use Cases

• Identifying and prioritizing high-risk code hotspots in legacy repositories
• Justifying refactoring efforts to stakeholders with objective ROI and impact data
• Establishing data-driven code quality gates and trend tracking in CI/CD pipelines