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Tech debt tracker

Skill event4u-app/agent-config/src/skills/tech-debt-tracker

Universal AI Agent OS — audited skills, governance rules, replayable state. One contract, every host agent.

Install
npx -y skills add event4u-app/agent-config --skill tech-debt-tracker

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

One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when surfacing tech debt as trackable items — interest-vs-principal framing, prioritisation by carrying cost, repayment plan — even if the user just says 'this codebase is a mess'.

SKILL.md

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tech-debt-tracker

Turn vague "this is messy" complaints into a ranked debt ledger with carrying-cost estimates and a repayment plan the team can execute. Frames debt as principal (the gap) plus interest (what we keep paying because the gap exists). Output is copy-paste ready; ticket / backlog write-back is user-gated.

When to use

  • The user lists code smells, dead code, or "we should refactor X" and wants them turned into trackable items.
  • A retro surfaced multiple debt complaints; the team needs them ranked, not all addressed at once.
  • A new initiative is about to add features on top of debt; the team wants the carrying cost surfaced before committing.
  • German triggers: "Tech-Debt-Liste", "wo bremst es uns?", "Aufräumen-Plan".

Do NOT use when:

  • The user wants a single bug fixed — route to /bug-fix.
  • The complaint is about process, not code (slow CI, noisy alerts) — surface as ops debt, not code debt; consider escalating to PO.
  • The "debt" is actually a missing feature — route to po-discovery.

Procedure

1. Inspect inputs and collect candidate debt items

Read the input (retro notes, code-review threads, pasted complaints, agent observations). Analyze each source for one candidate per bullet, no editing yet.

2. Classify each item

ClassExamples
Code debtSmells, duplication, dead code, weak tests, missing types
Architecture debtCoupling, layer violations, missing seams
Operations debtManual deploys, alert fatigue, runbook gaps
Knowledge debtStale docs, single-owner systems, missing onboarding

Items spanning two classes split into two entries — never merge.

3. Estimate principal and interest

For each item:

  • Principal — rough effort to repay (S / M / L; days, not hours).
  • Interest — what we keep paying every week / sprint / month because the debt exists. Quantify or mark unknown (unknown interest is itself a finding — surface it).

Carrying cost = interest × time-until-repaid. High principal + zero interest → leave it. Low principal + recurring interest → top of the queue.

4. Rank by interest ÷ principal

Sort descending. The top ten are the candidates. Items below the top ten get a single line each (so they are not lost) but no deeper analysis — debt-list bloat is itself a debt.

5. Shape a repayment plan

For the top 3-5 items:

  • Repayment shape — single PR · multi-PR series · campaign · re-architecture.
  • Owner role — engineering · ops · PO · platform team.
  • Trigger — what makes us pay this next (e.g. "before adding feature X", "when test runtime > 10 min", "next quarterly").

Items without a trigger sit forever. A trigger that is "someday" is no trigger — push back.

6. Issue a verdict

VerdictWhen to issue
trackItems added to the ledger; no immediate action
pay-nowOne or more items have a trigger that already fired
blockNew feature work blocked until top item is repaid (rare)

7. Validate the ledger

Verify before emitting: every top item has a class, principal, interest (or unknown), trigger, and owner; the ranking matches interest ÷ principal; tail items have one line each. Ensure no "someday" triggers and no agent-owned repayment owners slipped in.

Output format

The ledger is a single block with these ordered fields:

  1. Inventory: — count and classes touched
  2. Top items: — numbered list ranked by interest ÷ principal, each with class, principal, interest, trigger, owner, shape
  3. Tail: — one-line bullets for tracked-but-deferred items
  4. Verdict: — exactly one of track / pay-now / block
  5. Next: — handoff target (/adr-create or backlog write-back)
Tech-Debt Ledger
Inventory: <count> items, <classes touched>

Top items (interest ÷ principal):
  1. [arch] <item>             Principal: M  Interest: high (3 hrs/sprint)
        Trigger: <condition>  Owner: <role>  Shape: <PR / series / campaign>
  2. [code] <item>             Principal: S  Interest: med  ...
  ...

Tail (tracked, no immediate action):
  - <item>
  - <item>

Verdict: track | pay-now | block
Next:    /adr-create (if a tradeoff lock is needed) | backlog write-back

Gotcha

  • "Refactor X" is not a debt item — it is a wish. The item must name the gap and what it costs.
  • Interest the team cannot measure is real but invisible. Mark unknown and ask a probe ("how often do you hit this?") rather than inventing a number.
  • A debt list with no trigger is paperwork. Reject items the team has no plan to ever repay.

Do NOT

  • Do NOT enumerate every smell in the codebase — the top ten plus a tail is the contract.
  • Do NOT propose repayment owners the agent itself owns; debt repayment belongs to a human role.
  • Do NOT push items into Jira / Linear without explicit ask; output is copy-paste ready, write-back is gated.
  • Do NOT silently inflate principal estimates to discourage repayment the team should do.

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.