refactoring
Refactoring assessment and behavior-preserving patterns for code with a passing baseline and proportionate preservation evidence. Use when the user asks to clean up, simplify, or restructure a selected area, or after GREEN establishes the passing baseline for a TDD increment. Mutation testing verifies the accumulated result later at the end-of-phase PR-readiness gate. Covers recoverable-baseline discipline, when refactoring adds value vs when to skip it, and priority classification; commits always require explicit user approval. For any slice in a selected whole-path reduction program—transition or terminal—use reduce-system-complexity as the governing skill; refactoring may be secondary when applicable. For repository-wide architecture discovery use improve-codebase-architecture; for a module contract use codebase-design. Do NOT use for insufficiently evidenced code or adding behavior.
Works with
---
name: refactoring
description: Refactoring assessment and behavior-preserving patterns for code with a passing baseline and proportionate preservation evidence. Use when the user asks to clean up, simplify, or restructure a selected area, or after GREEN establishes the passing baseline for a TDD increment. Mutation testing verifies the accumulated result later at the end-of-phase PR-readiness gate. Covers recoverable-baseline discipline, when refactoring adds value vs when to skip it, and priority classification; commits always require explicit user approval. For any slice in a selected whole-path reduction program—transition or terminal—use reduce-system-complexity as the governing skill; refactoring may be secondary when applicable. For repository-wide architecture discovery use improve-codebase-architecture; for a module contract use codebase-design. Do NOT use for insufficiently evidenced code or adding behavior.
license: MIT
---
# Refactoring
Refactoring is the final step of each fast RED-GREEN-REFACTOR increment when restructuring is applicable. Assess it after GREEN establishes a passing behavior-test baseline. Do not run the automated mutation harness before or after each refactor; mutation testing verifies the completed phase once the work is otherwise ready for a PR.
Because automated mutation evidence is intentionally deferred, the baseline's strength is not yet mutation-harness-verified during refactoring. Keep each refactor small, strictly behavior-preserving, and green under the existing oracles; the final gate validates the accumulated result.
This skill safely implements a bounded, behavior-preserving improvement. Use `improve-codebase-architecture` to discover and rank architecture candidates, then `codebase-design` to design a selected module contract before returning here for implementation. If the slice participates in a selected whole-path reduction program, whether as a transition or terminal reduction, `reduce-system-complexity` governs the ledger and gate state; use this skill only as a secondary refactoring assessment when applicable.
## When to Refactor
- Assess after GREEN or another passing proportionate preservation baseline
- Only refactor if it improves the code
- **Establish a verified, recoverable baseline before refactoring; commit only with explicit user approval**
### Establish a Recoverable Baseline - WHY
Having a working baseline before refactoring:
- Allows reverting if refactoring breaks things
- Provides safety net for experimentation
- Makes refactoring less risky
- Can show clear separation in git history when the user authorizes commits
If the baseline cannot be restored safely without creating a commit, stop and ask for approval rather than committing implicitly.
**Workflow:**
1. BASELINE: Applicable tests pass and/or the conserved behavior and guarantees have proportionate evidence
2. CHECKPOINT: Record the baseline and preservation evidence. Create a baseline commit only when the user explicitly approves it
3. REFACTOR: Improve structure in small steps under the `tdd` skill's canonical fast-feedback policy. From a clean baseline, prefer a proven repository-owned graph-complete watcher; use diff-selected Vitest watch only when the installed version/configuration has passed the canonical clean-start live proof, otherwise repeat the affected one-shot. In monorepos use the root graph so transitive consumers remain eligible
4. VERIFY: Keep focused and affected tests plus other proportionate evidence green after each step; do not rerun the full suite after every edit
5. CHECKPOINT: Present the verified refactor. Commit it only after explicit user approval
6. PRE-PR GATE: When the phase is otherwise ready for a PR, run mutation testing once for the accumulated scope where meaningful, or record explicit `N/A` plus proportionate alternate evidence; address valuable survivors within that gate
## Priority Classification
| Priority | Action | Examples |
|----------|--------|----------|
| Critical | Fix now | Behavior-changing mutation, divergent copies of one business rule, control flow that obscures a high-risk path |
| High | This session | Magic numbers, unclear names, functions coordinating multiple responsibilities |
| Nice | Later | Minor naming, single-use helpers |
| Skip | Don't change | Already clean code |
## DRY = Knowledge, Not Code
**Abstract when**:
- Same business concept (semantic meaning)
- Would change together if requirements change
- Obvious why grouped together
**Keep separate when**:
- Different concepts that look similar (structural)
- Would evolve independently
- Coupling would be confusing
## Example Assessment
```typescript
// After GREEN establishes a passing behavior-test baseline:
const planBatch = (batch: Batch): PlannedBatch => {
const itemSlots = batch.items.reduce((sum, item) => sum + item.quantity, 0);
const bufferSlots = itemSlots > 50 ? 0 : 6;
return { ...batch, plannedSlots: itemSlots + bufferSlots, bufferSlots };
};
// ASSESSMENT:
// ⚠️ High: Magic numbers 50, 6 → extract constants
// ✅ Skip: Structure is clear enough
// DECISION: Extract constants only
```
## New Behavior Needs Evidence
Do not add new behavior without a failing test or other repository-authorized
acceptance proof that demands it. A behavior-preserving refactor may change
lines without a new RED test only while proportionate preservation evidence
stays green. At PR readiness, use mutation evidence for the accumulated scope
where meaningful and explicit alternate evidence where it is not; never invent
structural mutants.
❌ **Speculative additions:**
- "Just in case" logic
- Features not yet needed
- Abstractions written only for imagined future flexibility
- New error behavior with no accepted contract
✅ **Correct approach**: Do not add the speculative behavior. If it is needed,
write a failing test that demands it, then implement it.
Existing untested code is not proven speculative or dead. Before removing a
branch, characterize its observable behavior, inspect every caller and
reachability path, and resolve the behavior authority. Delete it only when the
evidence shows it is unreachable or the accepted contract explicitly retires
it, then keep the preservation/regression checks green.
```typescript
// ❌ WRONG - Speculative error handling (no test demands this)
if (items.length === 0) {
throw new Error('Empty cart'); // No test for this path!
}
// ✅ CORRECT - Test-driven error handling
// First: write a test that expects this behavior
// Then: implement the guard clause to make it pass
```
---
## When NOT to Refactor
Don't refactor when:
- ❌ The current structure isn't impeding the work at hand (clean-enough working code needs no restructuring)
- ❌ Speculative generality — restructuring for requirements that don't exist yet
- ❌ Would change behavior (that's a feature, not refactoring)
- ❌ Premature optimization
- ❌ Code is "good enough" for current phase
- ❌ **Extracting purely for testability** — if the only reason to move code into a separate file is "so we can unit test it", keep it inline. The consuming function already has behavioral tests that cover this code. Extract for readability, DRY (same knowledge used in multiple places — see "DRY = Knowledge, Not Code" above), or separation of concerns, never for testability alone.
**Remember**: Refactoring should improve code structure without changing behavior.
---
## Commit Messages for Refactoring
When the user approves a refactoring commit, use a focused message such as:
```
refactor: extract scenario validation logic
refactor: simplify error handling flow
refactor: rename ambiguous parameter names
```
**Format**: `refactor: <what was changed>`
**Note**: When commits are used, refactoring commits should not be mixed with feature commits.
---
## Refactoring Checklist
- [ ] Existing behavior tests pass; test edits are not hiding a behavior change
- [ ] Focused/affected tests stayed green during refactoring, and the repository-defined complete non-watch PR test gate passes before PR
- [ ] If the refactored phase is ready for a PR, mutation results were reviewed once for the accumulated scope where meaningful, or explicit `N/A` plus proportionate alternate evidence was recorded
- [ ] No unplanned consumer-facing API was added; internal or temporary contracts follow the selected design and compatibility plan
- [ ] Code more readable than before
- [ ] Any commits were explicitly approved and kept separate from features
- [ ] A verified, recoverable baseline was established; a baseline commit was created only if approved
- [ ] No speculative code added
- [ ] Behavior unchanged within the confidence and fidelity of the passing preservation evidenceMore Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

