Technical Debt Quantifier Skill
SkillDev toolsMeasure, categorize, and prioritize technical debt for migration planning and remediation
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Technical Debt Quantifier Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/code-migration-modernization/skills/technical-debt-quantifier/SKILL.md and read by ahel’s review.
Measures, categorizes, and prioritizes technical debt to support informed decision-making for migration planning and debt remediation strategies.
Purpose
Enable technical debt management for:
- Debt categorization and inventory
- Remediation effort estimation
- Interest calculation (ongoing cost)
- Priority scoring
- Trend tracking
Capabilities
1. Debt Categorization
- Code debt (smells, complexity)
- Architecture debt (coupling, cohesion)
- Test debt (coverage gaps)
- Documentation debt
- Infrastructure debt
2. Remediation Effort Estimation
- Estimate fix time per item
- Calculate total remediation cost
- Identify quick wins
- Plan sprint allocation
3. Interest Calculation
- Calculate ongoing maintenance cost
- Estimate productivity impact
- Project future debt growth
- Model compound interest
4. Priority Scoring
- Score by business impact
- Weight by risk level
- Factor in remediation cost
- Calculate ROI of fixes
5. Debt-to-Value Ratio
- Compare debt to feature velocity
- Benchmark against industry
- Track debt percentage
- Set organizational targets
6. Trend Tracking
- Monitor debt over time
- Track remediation progress
- Identify debt sources
- Report debt velocity
Tool Integrations
| 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 |
Output Schema
{
"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": []
}
Integration with Migration Processes
- legacy-codebase-assessment: Debt quantification
- technical-debt-remediation: Prioritization
Related Skills
code-smell-detector: Debt identificationstatic-code-analyzer: Quality metrics
Related Agents
technical-debt-auditor: Deep debt analysis
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
technical-debt-quantifier- Source
- github.com/a5c-ai/babysitter