ai-assist-tech-debt

To audit technical debt, this Skill scans your repository to identify and rank issues across code quality, architecture, infrastructure, processes, and operational readiness. It delivers a weighted health score with severity-ranked findings and concrete file evidence.

Prioritizing technical debt remediation is handled by applying a 22-dimension, 5-tier framework to your codebase. This generates a prioritized remediation plan featuring concrete actions and assigned owners based on severity-ranked findings.

Yes, you can run a tech debt audit on a multi-language monorepo. The assessment offers cross-repo applicability, automatically detecting stack characteristics to evaluate code quality and architecture across diverse codebases.

The technical debt health score calculation works by evaluating 22 distinct dimensions across 5 tiers. It assesses code quality, architecture, infrastructure, quality processes, and operational readiness, weighting the findings to deliver a final score.

Yes, the technical debt audit provides specific code locations for findings. It surfaces discovered debt areas with concrete file and line evidence alongside actionable remediation steps to guide immediate fixes.