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SKILL verified MIT Self-run

Memstack Development Refactor Planner

skill-cwinvestments-memstack-refactor-planner · by cwinvestments

Use this skill when the user says 'refactor', 'refactoring plan', 'code cleanup', 'reduce duplication', 'simplify code', 'tech debt', 'god class', 'tight coupling', or needs to systematically improve existing code. Identifies targets, assesses risk, and builds incremental execution plans. Do NOT use for writing new features or database migrations.

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Install

$ agentstack add skill-cwinvestments-memstack-refactor-planner

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Refactor Planner — Planning systematic code improvement...

Identifies code smells, assesses refactoring risk, selects appropriate patterns, and builds incremental execution plans with rollback strategies and verification checkpoints.

Activation

When this skill activates, output:

Refactor Planner — Planning systematic code improvement...

Then execute the protocol below.

Context Guard

| Context | Status | |---------|--------| | User says "refactor", "refactoring plan", "code cleanup" | ACTIVE | | User says "tech debt", "god class", "tight coupling", "reduce duplication" | ACTIVE | | User wants to improve existing code structure without changing behavior | ACTIVE | | User wants to write a new feature | DORMANT — use Feature Spec | | User wants to change database schema | DORMANT — use Migration Planner |

Common Mistakes

| Mistake | Why It's Wrong | |---------|---------------| | "Big bang rewrite" | Rewriting everything at once introduces cascading failures. Incremental changes are safer and shippable. | | "Refactor without tests" | No test coverage = no safety net. Add characterization tests BEFORE touching code. | | "Refactor and add features simultaneously" | Mixing behavior changes with structural changes makes bugs impossible to isolate. Separate commits. | | "No measurable goal" | "Clean up the code" is vague. Define metrics: reduce file from 800 to 200 lines, eliminate 5 duplicate blocks, etc. | | "Skip the risk assessment" | A function called by 47 files is higher risk than a utility used in 2. Assess blast radius first. |

Protocol

Step 1: Gather Refactoring Context

If the user hasn't provided details, ask:

> 1. Target — what code needs refactoring? (file, module, class, or system) > 2. Pain point — what's the specific problem? (hard to modify, duplicated, slow, confusing) > 3. Test coverage — does the target code have tests? (yes, partial, none) > 4. Constraints — any deadlines, frozen APIs, or deployment concerns? > 5. Language/framework — what tech stack?

Step 2: Identify Code Smells

Scan the target code for these smell categories:

Bloaters (too big):

| Smell | Detection | Severity | |-------|----------|----------| | Long method | Function >30 lines or >3 levels of nesting | Medium | | Large class / God object | Class >300 lines or >10 public methods | High | | Long parameter list | Function takes >4 parameters | Medium | | Primitive obsession | Raw strings/numbers instead of domain types | Low | | Data clumps | Same group of variables passed together repeatedly | Medium |

Couplers (too connected):

| Smell | Detection | Severity | |-------|----------|----------| | Feature envy | Method uses another class's data more than its own | Medium | | Inappropriate intimacy | Classes access each other's private internals | High | | Message chains | a.getB().getC().getD().doThing() — chain >2 deep | Medium | | Middle man | Class delegates nearly everything to another class | Low |

Dispensables (unnecessary):

| Smell | Detection | Severity | |-------|----------|----------| | Dead code | Unreachable code, unused variables, commented-out blocks | Low | | Duplicate code | Same logic in 2+ places (exact or structural) | High | | Speculative generality | Abstractions, interfaces, or config for cases that don't exist | Medium | | Lazy class | Class does too little to justify its existence | Low |

Change preventers (hard to modify):

| Smell | Detection | Severity | |-------|----------|----------| | Divergent change | One class changed for many different reasons | High | | Shotgun surgery | One change requires edits across many files | High | | Parallel inheritance | Creating a subclass in one hierarchy requires one in another | Medium |

Code smell report:

## Code Smell Report — [Target]

| # | Smell | Location | Severity | Lines Affected |
|---|-------|----------|----------|---------------|
| 1 | [Smell name] | [file:line] | High/Med/Low | [X] |
| 2 | [Smell name] | [file:line] | High/Med/Low | [X] |
| ... | | | | |

**Summary:** [X] smells found ([X] high, [X] medium, [X] low)
**Estimated scope:** [X] files, [X] lines affected

Step 3: Assess Risk

For each refactoring target, evaluate:

Risk matrix:

| Factor | Low Risk | Medium Risk | High Risk | |--------|----------|------------|-----------| | Dependents | 0-2 callers | 3-10 callers | 10+ callers | | Test coverage | >80% covered | 40-80% covered | 80% test coverage

Step 4: Select Refactoring Patterns

Match each smell to the appropriate pattern:

Extraction patterns:

| Pattern | Use When | Before → After | |---------|---------|----------------| | Extract Method | Long method, duplicated logic block | Inline code → Named function | | Extract Class | God class, divergent change | One class → Two focused classes | | Extract Interface | Tight coupling, testing difficulty | Concrete dependency → Interface + implementation | | Extract Variable | Complex expression, magic numbers | `if (a > 86400 && b 10% on critical paths

  • Deadline pressure requires shipping current work
  • Discovery of architectural issues requiring design discussion

### Step 7: Measure Results

Define before/after metrics:

```markdown
## Refactoring Metrics

| Metric | Before | After | Change |
|--------|--------|-------|--------|
| Lines of code (target) | [X] | [X] | -[X]% |
| Cyclomatic complexity | [X] | [X] | -[X]% |
| Number of methods | [X] | [X] | [+/-X] |
| Average method length | [X] lines | [X] lines | -[X]% |
| Duplicate code blocks | [X] | [X] | -[X] |
| Test coverage | [X]% | [X]% | +[X]% |
| Number of dependencies | [X] | [X] | -[X] |

Output Format

# Refactoring Plan — [Target]

## Code Smell Report
[From Step 2 — smells identified with severity and location]

## Risk Assessment
[From Step 3 — risk matrix for each target]

## Pattern Selection
[From Step 4 — matched patterns with estimated effort]

## Execution Plan
[From Step 5 — phased plan with verification checkpoints]

## Rollback Strategy
[From Step 6 — revert method per phase + abort criteria]

## Success Metrics
[From Step 7 — before/after targets]

Completion

Refactor Planner — Complete!

Target: [Target name]
Smells found: [X] ([X] high, [X] medium, [X] low)
Phases: [X]
Estimated effort: [X] hours
Risk level: [Overall Low/Medium/High]
Patterns applied: [List]

Next steps:
1. Add characterization tests for current behavior (Phase 0)
2. Create feature branch: refactor/[target-name]
3. Execute Phase 1 (quick wins) and verify tests pass
4. Continue through phases, committing after each
5. Measure before/after metrics and document improvements

Level History

  • Lv.1 — Base: 4 code smell categories (bloaters, couplers, dispensables, change preventers) with 16 specific smells, 5-factor risk matrix, 12 refactoring patterns in 3 groups (extraction, simplification, structural), phased execution plan template, rollback strategy with abort criteria, before/after metrics tracking. (Origin: MemStack Pro v3.2, Mar 2026)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.