skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
donchitos/claude-code-game-studios358 installs

tech-debt

Track, categorize and prioritize technical debt across the codebase — scans for debt indicators, maintains a register.

How do I install this agent skill?

npx skills add https://github.com/donchitos/claude-code-game-studios --skill tech-debt
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill manages technical debt by scanning source code for comments and maintaining a register. It uses restricted shell commands and dynamic context injection to load project configuration. While the skill processes potentially untrusted code comments, the risks are mitigated by platform-enforced tool restrictions and mandatory human review for all write operations.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    1 file scanned · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys automation

Every AskUserQuestion call follows .claude/docs/automation-modes.md (collaborative asks always · guided major-only · autonomous logs and proceeds; automation_always_ask categories always prompt).

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 code root (resolve per .claude/docs/code-root-resolution.md: src/, Assets/ or Source/ by engine) 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

Before presenting anything, establish that there was something to scan. Count the source files the scan actually covered. If the code root is unresolved, report NOT ASSESSED — code root unresolved and stop as below. If that count is zero — the code root is absent, or holds no source files — report:

NOT ASSESSED — no source files to scan. The code root contains no code, so "no debt indicators found" would be a statement about an empty search, not about the codebase. Run this once implementation is under way.

and stop. Do not write to the register and do not emit a COMPLETE verdict.

The distinction is the whole point of the scan: zero findings over 400 files is a clean codebase; zero findings over zero files is no information at all. Rendering both as "COMPLETE — scan findings written to register" reads as the first. State the denominator whenever findings are reported, including when it is large and the count is genuinely zero.

Present the findings to the user.

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

If yes, update the register, never overwriting it. Match before appending: a finding with the same file and the same kind of debt as an existing Open entry updates that entry instead of adding a duplicate. An existing Open entry whose pattern is no longer in its file is proposed as Resolved [date] — list those and include them in the same approval. 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 and affected files (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)

Then use AskUserQuestion to collect the impact if left unfixed — the register's Impact column, which /tech-debt prioritize scores:

  • Prompt: "What does this cost if it is never fixed?"
  • Options: [A] Low / [B] Med / [C] High / [D] Critical

Present the complete new entry to the user.

Match before appending: if an existing Open entry already has the same file and the same category, show it to the user and ask whether to update that entry instead of adding a duplicate.

Ask: "May I append this entry to docs/tech-debt-register.md?" (or, on a match, "May I update the existing entry instead?")

If yes, append the entry (or update the matched one). 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. If it does not exist: Verdict: NOT ASSESSED — no register at docs/tech-debt-register.md; run /tech-debt scan first. Stop.

Score each item from its own columns: impact ÷ effort, with Impact Low 1, Med 2, High 3, Critical 4 and Effort S 1, M 2, L 3, XL 4, rounded to one decimal and written to Priority. Higher scores first; ties go to the older Added date. An item whose Impact or Effort is — gets no score: list it after the scored items as "not scored — [column] not judged" rather than guessing one.

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. If it does not exist: Verdict: NOT ASSESSED — no register to report on; run /tech-debt scan first. Stop.

Generate summary statistics:

  • Open items by category, and total estimated fix effort for them
  • Items added and items resolved during the current sprint, from each entry's Added date and its Resolved [date] status
  • Trending direction (growing / stable / shrinking) — added vs resolved in that window

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 | Status | Added | Sprint |
|----|----------|-------------|-------|--------|--------|----------|--------|-------|--------|
| TD-001 | [Cat] | [Description] | [files] | [S/M/L/XL] | [Low/Med/High/Critical] | [Score] | [Open / Resolved YYYY-MM-DD / Accepted — reason] | [YYYY-MM-DD] | [Sprint to fix or "Backlog"] |

Every skill that adds a row — this one, and /story-done when it logs deviations as debt — writes all ten columns in this order, and a skill that creates the file writes the header and table head above first:

  • ID — TD- and three digits, one above the highest ID already in the register (TD-001 in a new one). IDs are never reused.
  • Category — one of the six categories under Scan Mode, written without "Debt": Architecture, Code Quality, Test, Documentation, Dependency, Performance — the spelling /story-done writes, so Report Mode groups them once.
  • Description — what the debt is and why it was taken on.
  • Files — the affected paths, comma-separated; — when the debt has no single file.
  • Effort — S, M, L or XL, as in Add Mode; — if not yet estimated.
  • Impact — Low, Med, High or Critical: the cost if left unfixed; — if not yet judged.
  • Priority — the score /tech-debt prioritize writes; — until it runs.
  • Status — Open when added. Resolved YYYY-MM-DD records the day the debt was fixed; Accepted — reason records a conscious decision to keep it.
  • Added — the day the row was written, YYYY-MM-DD. Report Mode counts items added and resolved from this date and the Resolved date.
  • Sprint — the sprint scheduled to fix it, 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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/donchitos/claude-code-game-studios/tech-debt">View tech-debt on skillZs</a>