| name | refactor-150 |
| description | Three-stage refactoring workflow: (1) iterative research of refactor/modularization options, (2) plan + risk/edge-case analysis + Scope150 validation, then implement with tests after user confirmation, and (3) apply Scout105 cleanup protocol. Use when asked to refactor, modularize, or restructure code safely. |
Refactor 150
Overview
Run in three stages:
- Research refactor options (iterative, no code changes).
- Plan + confirm + implement with tests and validation.
- Apply Scout105 cleanup (objective, small, user-approved).
Stage 1 — Research refactor options (iterative)
Create or reuse investigation log at
.temp/INVESTIGATION.md.- If the file does not exist, create it and add the template below.
- Keep all research notes in this file only (no scattered notes in chat).
Define the core question (the refactor goal).
- Write a single sentence: “We need to refactor X to achieve Y.”
- Example: “Refactor SermonCard to reduce duplication and isolate date logic.”
Define scope (Scope150).
- Core (100%): list files and behaviors you will directly change.
- Boundary (50%): list callers, dependent modules, tests, configs, and data flow.
- If unsure, add a “to verify” bullet and resolve it during observations.
Perform observations (search/read) in ordered layers.
- Interface layer: find entry points (routes, public APIs, UI entry points).
- Domain layer: identify entities, i18n keys, enums, types.
- Pattern layer: locate hooks, services, clients, shared utilities.
- Usage layer: trace imports and call sites.
- For each layer, read the minimum number of files that explain the behavior.
Record findings in the log with sources.
- Each fact must include a source (file path + line reference or command).
- Separate facts from hypotheses. Do not mix them.
Generate hypotheses and refactor options.
- For each option, note: goal, steps, benefits, risks, and test impact.
- Prefer at least 2 options so tradeoffs are explicit.
Decide if more research is needed.
- If user says “research more”, expand scope or inspect new files.
- Update the log with new branches and continue Stage 1.
Stop before implementation.
- End Stage 1 with: options summary, remaining unknowns, and a recommended path.
Investigation log template
# Investigation Log: <short topic>
## Core question
- ...
## Scope
- Core (100%):
- ...
- Boundary (50%):
- ...
## Findings
- <fact> (source: file path / command)
- Subfinding
## Hypotheses
- H1: ...
- Prediction: ...
- Test: ...
- Status: pending/confirmed/rejected
## Refactor options
- Option A: ... (pros/cons)
- Option B: ... (pros/cons)
## Next branches
- ...
Stage 2 — Plan, confirm, implement
Write a refactor plan.
- Break into ordered steps with file-level granularity.
- Include expected intermediate states (what should still pass after each step).
List risks and edge cases.
- Identify behavior changes, API contract risks, and hidden coupling.
- Explicitly note any breaking-change risk.
Define a validation checklist.
- Tests to run (unit/integration).
- Manual checks if needed (UI flows, API calls).
- Expected outputs and what would indicate failure.
Perform Scope150 validation planning.
- Core (100%): ensure each planned change has a test or validation step.
- Boundary (50%): list all callers/integrations/tests to be checked.
Ask for user confirmation before editing.
- Provide plan, risks, and validation checklist.
- Do not edit until the user approves.
Implement the refactor.
- Follow the plan in order.
- Keep changes minimal and reversible.
Add or update tests.
- Cover changed logic and any new boundaries.
- Avoid brittle tests; prefer behavior-based assertions.
Run validation.
- Execute all tests from the checklist.
- Record results and fix failures before moving to Stage 3.
Stage 3 — Scout105 cleanup protocol
Apply only objective cleanup after a Key Point (phase complete). Do not add features.
Trigger (Key Point)
- Apply only after a milestone where the user would see complete value.
- Do not run per-file; run once per phase.
Allowed cleanup categories (objective only)
- Unused code: unused imports/vars/fields (provable by grep/IDE).
- Typos: spelling errors in comments/strings (spellcheckable).
- Formatting inconsistencies: breaks the file’s own pattern.
- Dead code: commented debug lines or unreachable code.
- Obviously wrong logic: provably incorrect (duplicate checks, impossible types).
Constraints
- Only in files already touched by the primary task.
- Remove garbage only; no new features or refactors.
- Each cleanup must take ≤ 30 seconds to verify + fix.
- Total cleanup time ≤ 5% of primary task time.
- Must be objectively measurable; if not measurable, skip.
- Require user approval before executing cleanup.
Scout105 report (present to user)
✅ Key Point complete: <brief summary>
Scout105 opportunities:
- <file>: <item> (category, evidence)
- <file>: <item> (category, evidence)
Run Scout105 cleanup? [Yes / Skip / Selective]
Execution
- If approved, apply all selected cleanups in batch.
- Run tests/build to validate no regression.
- If failures occur, revert or investigate causality before proceeding.
Output expectations
- Stage 1: Provide refactor options + log path + remaining branches + recommended path.
- Stage 2: Provide plan, risks, validation checklist, and request confirmation.
- Stage 3: Provide Scout105 report, decision, and validation result.