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Tech Debt

  • 226 installs
  • 23.6k repo stars
  • Updated May 21, 2026
  • donchitos/claude-code-game-studios

For development and infrastructure management.

About

tech-debt is an AI coding tool that enhances development workflows. Builders use it for infrastructure, integration, and platform development within the catalog ecosystem.

  • tech-debt
  • Development

Tech Debt by the numbers

  • 226 all-time installs (skills.sh)
  • Ranked #1,716 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/donchitos/claude-code-game-studios --skill tech-debt

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Listed on Skillselion
Installs226
repo stars23.6k
Last updatedMay 21, 2026
Repositorydonchitos/claude-code-game-studios

What it does

For development and infrastructure management.

Files

SKILL.mdMarkdownGitHub ↗

Phase 1: Parse Subcommand

Determine the mode 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

If no subcommand is provided, output usage and stop. Verdict: FAIL — missing required subcommand.

---

Phase 2A: Scan Mode

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  • Documentation Debt: Missing docs, outdated docs, undocumented APIs
  • Dependency Debt: Outdated packages, deprecated APIs, version conflicts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

Present the findings to the user.

Ask: "May I write these findings to docs/tech-debt-register.md?"

If yes, update the register (append new entries, do not overwrite existing ones). Verdict: COMPLETE — scan findings written to register.

If no, stop here. Verdict: BLOCKED — user declined write.

---

Phase 2B: Add Mode

Ask the user for the description, affected files, and impact if left unfixed (plain text prompts).

Then use AskUserQuestion to collect the category:

  • Prompt: "What category does this tech debt belong to?"
  • Options:
  • [A] Architecture Debt — wrong abstractions, missing patterns, coupling issues
  • [B] Code Quality Debt — duplication, complexity, naming, missing types
  • [C] Test Debt — missing tests, flaky tests, untested edge cases
  • [D] Documentation Debt — missing/outdated docs, undocumented APIs
  • [E] Dependency Debt — outdated packages, deprecated APIs, version conflicts
  • [F] Performance Debt — known slow paths, memory issues, unoptimized queries

Then use AskUserQuestion to collect the estimated fix effort:

  • Prompt: "What is the estimated effort to fix this item?"
  • Options:
  • [A] S — Small (under 1 day)
  • [B] M — Medium (1–3 days)
  • [C] L — Large (3–7 days)
  • [D] XL — Extra Large (over 1 week)

Present the complete new entry to the user.

Ask: "May I append this entry to docs/tech-debt-register.md?"

If yes, append the entry. Verdict: COMPLETE — entry added to register.

If no, stop here. Verdict: BLOCKED — user declined write.

---

Phase 2C: Prioritize Mode

Read the debt register at docs/tech-debt-register.md.

Score each item by: (impact_if_unfixed × frequency_of_encounter) / fix_effort

Re-sort the register by priority score and recommend which items to include in the next sprint.

Present the re-prioritized register to the user.

Ask: "May I write the re-prioritized register back to docs/tech-debt-register.md?"

If yes, write the updated file. Verdict: COMPLETE — register re-prioritized and saved.

If no, stop here. Verdict: BLOCKED — user declined write.

---

Phase 2D: Report Mode

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 to the user. This mode is read-only — no files are written. Verdict: COMPLETE — debt report generated.

---

Phase 3: Next Steps

  • Run /sprint-plan to schedule high-priority debt items into the next sprint.
  • Run /tech-debt report at the start of each sprint to track debt trends over time.

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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