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/refactor

Evidence-driven refactoring — where does structural improvement actually pay off, then make that change without changing behavior. Survey mode diagnoses by evidence, not aesthetics — git churn × complexity hotspots, the recurring-bug log, upcoming work — and verdicts each

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skillhub
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Install
$ npx -y skills add duthaho/skillhub --skill refactor --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/refactor

Context preview

The summary Claude sees to decide when to auto-load this skill.

Evidence-driven refactoring — where does structural improvement actually pay off, then make that change without changing behavior. Survey mode diagnoses by evidence, not aesthetics — git churn × complexity hotspots, the recurring-bug log, upcoming work — and verdicts each

SKILL.md

refactor.SKILL.md
name: refactor
description: >-
  Evidence-driven refactoring — where does structural improvement actually
  pay off, then make that change without changing behavior. Survey mode
  diagnoses by evidence, not aesthetics — git churn × complexity hotspots,
  the recurring-bug log, upcoming work — and verdicts each candidate
  REFACTOR/PREP/LEAVE/WATCH, where LEAVE is the default and "the textbook
  recommends it" is never a reason. Execute mode takes one approved
  candidate in small behavior-preserving moves, suite green after each.
  Keeps a debt register in out/refactor/tracker.md so repeat surveys open
  with what changed. Use for "clean up this module", "improve the
  architecture", "pay down tech debt" — e.g. "/refactor",
  "/refactor <target>". For new behavior use feature; for something broken
  use bugfix.

refactor — earn it first, then preserve behavior

`/refactor` — survey the repo, emit a brief of where improvement pays off `/refactor <target or goal>` — execute one candidate, safely

Answer one question: **where does structural improvement actually pay for itself in this codebase — and how is that change made without changing behavior?** The skill exists to prevent the two documented failure modes of "improve the architecture": refactoring the wrong code (most ugly code is never touched again, so cleaning it returns nothing), and **pattern-itis** — applying design patterns because they're best practices rather than because a problem here demands them, turning straight-line code into abstraction lasagna.

Survey mode — `/refactor`

Step 1 — Evidence, not aesthetics

Candidates come from signals, never from "this code looks bad":

  • **Hotspots** — churn × complexity. Churn from git itself:

`git log --format= --name-only --since="12 months ago" | sort | uniq -c | sort -rn | head -30`, crossed with a complexity proxy (file length, indentation depth). Code that is both complex *and* frequently edited is where interest compounds; complex-but-cold code is a LEAVE by default.

  • **The bug log** — `out/dev/bugfix-log.md` if present. A file that shows up

repeatedly is structural debt announcing itself.

  • **Upcoming work** — the user's stated goals, open specs and plans under

`out/dev/`. These seed **PREP** candidates: make the change easy, then make the easy change — preparatory refactoring is the highest-payoff kind because the payoff is scheduled, not hoped for.

  • **The map** — `AGENTS.md` gotchas and conventions; a documented gotcha is

often a workaround for structure that could stop needing one.

  • **Memory** — `out/refactor/tracker.md` if it exists: verdicts already

made. A LEAVE with a reason isn't re-litigated unless its evidence changed; repeat surveys open with **"Since last survey"**.

Step 2 — Verdicts, with the pattern gate

For each candidate: **REFACTOR / PREP / LEAVE / WATCH**.

  • **LEAVE is the default.** Promotion needs positive evidence: churn, a

recurring bug, or scheduled work in the area. "This violates a principle" alone promotes nothing — cold code keeps its sins.

  • **The pattern gate:** a design pattern is vocabulary, not a goal. Every

proposal that introduces one names the problem *in this codebase* (with a file:line locator and its evidence), why *this* pattern fits, and what simpler shape was considered first. "The textbook recommends it" is discarded, not weighed. Two quick tests: **the deletion test** — imagine deleting the module; if complexity vanishes it was a pass-through, if it reappears across N callers it was earning its keep — and **one adapter is a hypothetical seam, two are a real one**: don't introduce a seam until something actually varies across it.

  • **The score is interface depth, not pattern count.** A proposal wins if

interfaces get simpler and callers get dumber — abstractions that hide more than they add. A refactor that grows the number of things a reader must understand has failed even if every step was clean.

  • Each REFACTOR/PREP carries: the problem + locator, the target shape, a

sketch of the move sequence, effort, and risk. Candidates too big to stay behavior-preserving (real redesigns) are phrased as ready `/feature` or `/autopilot` handoffs instead — offered, never performed.

Step 3 — Brief and register

Render the brief **in chat** per `references/brief-template.md` (read it when you reach this step), save to `out/refactor/<slug>-<YYYY-MM-DD>.md` (date via `date +%F`; create the folder if needed; committing is the user's call), and update `out/refactor/tracker.md` — one row per candidate: candidate · verdict · evidence · date · status. The user picks what to execute; the survey never starts cutting on its own.

Execute mode — `/refactor <target>`

Step 1 — Safety net before scalpel

  • Find the test command (`AGENTS.md`, manifests, CI config) and run the

suite for a **green baseline**. A pre-existing red is reported and stops the run — refactoring on red has no arbiter.

  • Area untested? Write **characterization tests** around exactly the code

to be touched — pin current behavior *as it is, bugs included* — and commit them separately before any restructuring. Without them, "behavior preserved" is an opinion.

Step 2 — Small named moves, green after each

Plan the sequence as named moves — extract function, move module, rename, inline, introduce parameter object — then per move: apply it, run the suite, checkpoint commit titled with the move. The rhythm is the safety:

  • **Red after a step → revert that step.** Never patch forward to green — a

patched-forward red is a behavior change wearing a refactor's name. Rethink the move or split it smaller.

  • Every checkpoint leaves the tree shippable. There is no big-bang branch

where everything is broken until the end.

  • **Wide mechanical moves** (a rename or retype fanning across hundreds of

call sites) sequence as **expand–contract**: add the new form beside the old so nothing break

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Ships withskillhub

Give Claude Code a memory and make it cite its sources — skills for research, daily work, and shipping code. They started as prompts I kept retyping, so I wrote each one down once. Keyless: no API keys, no signups.

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Python
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MIT
License
7d ago
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2mo ago
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Repo: duthaho/skillhub

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