tranhieutt/tech-debt

name: tech-debt description: "Scans the codebase for technical debt indicators, categorizes and prioritizes findings, and maintains a debt register with repayment recommendations. Use when assessing codebase health, planning refactoring, or when the user mentions technical debt or code quality." argument-hint: "[scan|add|prioritize|report]" user-invocable: true allowed-tools: Read, Glob, Grep, Write context: fork agent: technical-director effort: 3 when_to_use: "Use when assessing codebase health, planning a refactoring sprint, or when the user mentions technical debt, code quality, cleanup, or wants to prioritize remediation work."

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     • Documentation Debt: Missing docs, outdated docs, undocumented APIs
     • Dependency Debt: Outdated packages, deprecated APIs, version conflicts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

Protocol

• Question: Reads mode from argument (scan / add / prioritize / report); add mode prompts for debt details
• Options: Skip — mode drives execution path
• Decision: add mode — user provides description, category, effort estimate, and justification (why accepted)
• Draft: Changes shown in conversation before updating register
• Approval: "May I update docs/technical/tech-debt.md?"

Output

Deliver exactly:

• scan: debt register updated at docs/technical/tech-debt.md + count of new items found by category
• add: new TD-[NNN] entry appended to register with effort, impact, and WHY it was accepted
• prioritize: ranked list of top 5 items by impact/effort score with recommended sprint to fix
• report: summary table — total items, effort distribution (S/M/L/XL), critical items count