agentsclimarketplace

Technical debt quantifier

Skill a5c-ai/babysitter/library/specializations/code-migration-modernization/skills/technical-debt-quantifier

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill technical-debt-quantifier

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Measure, categorize, and prioritize technical debt for migration planning and remediation

SKILL.md

3.0 KB, as published. Nobody here has run it

Technical Debt Quantifier Skill

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

ToolPurposeIntegration Method
SonarQubeDebt calculationAPI
CodeSceneHotspot analysisAPI
CodacyQuality metricsAPI
Code ClimateMaintainabilityAPI
NDepend.NET debt analysisCLI

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 identification
  • static-code-analyzer: Quality metrics

Related Agents

  • technical-debt-auditor: Deep debt analysis

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.