library/specializations/code-migration-modernization/skills/technical-debt-quantifier/SKILL.md
Measure, categorize, and prioritize technical debt for migration planning and remediation
npx skillsauth add a5c-ai/babysitter technical-debt-quantifierInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Measures, categorizes, and prioritizes technical debt to support informed decision-making for migration planning and debt remediation strategies.
Enable technical debt management for:
| Tool | Purpose | Integration Method | |------|---------|-------------------| | SonarQube | Debt calculation | API | | CodeScene | Hotspot analysis | API | | Codacy | Quality metrics | API | | Code Climate | Maintainability | API | | NDepend | .NET debt analysis | CLI |
{
"analysisId": "string",
"timestamp": "ISO8601",
"debt": {
"total": {
"estimatedHours": "number",
"monetaryValue": "number",
"items": "number"
},
"byCategory": {
"code": {},
"architecture": {},
"test": {},
"documentation": {}
},
"byPriority": {
"critical": [],
"high": [],
"medium": [],
"low": []
}
},
"metrics": {
"debtRatio": "number",
"debtPerLoc": "number",
"interestRate": "number"
},
"trends": {
"thirtyDay": "number",
"ninetyDay": "number"
},
"recommendations": []
}
code-smell-detector: Debt identificationstatic-code-analyzer: Quality metricstechnical-debt-auditor: Deep debt analysisdevelopment
Model documentation skill for generating model cards following Google's model card framework.
development
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
data-ai
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
devops
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.