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tech-debt

tech-debt

Track, categorize, and prioritize technical debt across the codebase. Scans for debt indicators, maintains a debt register, and recommends repayment scheduling.

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Documentation de la Skill

GitHub

name: tech-debt description: "Track, categorize, and prioritize technical debt across the codebase. Scans for debt indicators, maintains a debt register, and recommends repayment scheduling." argument-hint: "[scan|add|prioritize|report]" user-invocable: true allowed-tools: Read, Glob, Grep, Write

When this skill is invoked:

  1. Parse the subcommand from the argument:

    • scan — Scan the codebase for tech debt indicators
    • add — Add a new tech debt entry manually
    • prioritize — Re-prioritize the existing debt register
    • report — Generate a summary report of current debt status
  2. For scan:

    • Search the codebase for debt indicators:
      • TODO comments (count and categorize)
      • FIXME comments (these are bugs disguised as debt)
      • HACK comments (workarounds that need proper solutions)
      • @deprecated markers
      • Duplicated code blocks (similar patterns in multiple files)
      • Files over 500 lines (potential god objects)
      • Functions over 50 lines (potential complexity)
    • Categorize each finding:
      • Architecture Debt: Wrong abstractions, missing patterns, coupling issues
      • Code Quality Debt: Duplication, complexity, naming, missing types
      • Test Debt: Missing tests, flaky tests, untested edge cases
      • Documentation Debt: Missing docs, outdated docs, undocumented APIs
      • Dependency Debt: Outdated packages, deprecated APIs, version conflicts
      • Performance Debt: Known slow paths, unoptimized queries, memory issues
    • Update the debt register at docs/tech-debt-register.md
  3. For add:

    • Prompt for: description, category, affected files, estimated fix effort, impact if left unfixed
    • Append to the debt register
  4. For prioritize:

    • Read the debt register
    • Score each item by: (impact_if_unfixed * frequency_of_encounter) / fix_effort
    • Re-sort the register by priority score
    • Recommend which items to include in the next sprint
  5. For report:

    • Read the debt register
    • Generate summary statistics:
      • Total items by category
      • Total estimated fix effort
      • Items added vs resolved since last report
      • Trending direction (growing / stable / shrinking)
    • Flag any items that have been in the register for more than 3 sprints
    • Output the report

Debt Register Format

## Technical Debt Register
Last updated: [Date]
Total items: [N] | Estimated total effort: [T-shirt sizes summed]

| ID | Category | Description | Files | Effort | Impact | Priority | Added | Sprint |
|----|----------|-------------|-------|--------|--------|----------|-------|--------|
| TD-001 | [Cat] | [Description] | [files] | [S/M/L/XL] | [Low/Med/High/Critical] | [Score] | [Date] | [Sprint to fix or "Backlog"] |

Rules

  • Tech debt is not inherently bad — it is a tool. The register tracks conscious decisions.
  • Every debt entry must explain WHY it was accepted (deadline, prototype, missing info)
  • "Scan" should run at least once per sprint to catch new debt
  • Items older than 3 sprints without action should either be fixed or consciously accepted with a documented reason
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