ai-slop-cleaner
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
Best use case
ai-slop-cleaner is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
Teams using ai-slop-cleaner should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-slop-cleaner/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ai-slop-cleaner Compares
| Feature / Agent | ai-slop-cleaner | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# AI Slop Cleaner
AI code generation produces working code. It also produces unnecessary code alongside it. This skill removes the unnecessary parts while keeping everything that matters.
## What Is "AI Slop"?
AI slop is code that:
- Works, but shouldn't exist
- Adds complexity without adding value
- Was clearly generated to pad a response rather than solve a problem
- Suggests the author wasn't thinking, just generating
Common slop categories and their signals:
| Category | Signal |
|----------|--------|
| Dead imports | Imported but never referenced in the file |
| Unused variables | Declared, never read |
| Commented-out code | Blocks of `// old code` or `/* removed */` |
| Debug remnants | `console.log`, `print()`, `debugger`, `fmt.Println` |
| Obvious comments | `// increment counter` above `count++` |
| Redundant JSDoc | `@param name - the name` above `name: string` |
| Premature abstractions | A factory that creates exactly one thing |
| One-use helpers | Private function called exactly once, trivially inlinable |
| Overly generic types | `<T extends object>` when `T` is always `User` |
| Over-parameterized | `fn(a, b, c, d, e)` where 4 params never vary |
| Unreachable branches | `if (false)` or `if (isLoggedIn && !isLoggedIn)` |
| Speculative features | Code paths for requirements that don't exist |
| Copy-paste duplication | Two blocks identical except one variable name |
| Placeholder remnants | `TODO: implement`, lorem ipsum, example data in prod |
## The Prime Directive
**Tests are sacred. Never clean test files.**
Tests exist to protect behavior. Any cleanup that breaks a test reveals that the "slop" was actually load-bearing. That is good information. The test wins.
## Regression-Safe Workflow (Non-Negotiable)
```
BEFORE ANYTHING: Run full test suite → all tests must pass (baseline)
FOR EACH PASS:
1. Identify targets for this pass category
2. Apply cleanup
3. Run tests
4. If tests pass: keep cleanup, continue
5. If tests fail: git checkout -- . (revert), skip this pass category
6. Log what was reverted and why
AFTER ALL PASSES: Run full test suite → confirm all tests still pass
Report: lines removed, files touched, passes skipped, reason for each skip
```
Never batch multiple pass categories together. If combined changes break a test, you cannot know which change caused it.
## The 7 Cleaning Passes
### Pass 1: Dead Imports and Unused Variables
**Risk: Very Low**
What to remove:
- Import statements where the imported name never appears in the file body
- Variables declared with `let`/`const`/`var` that are never read after assignment
- Function parameters that are never referenced inside the function body (TypeScript: prefix with `_`)
Before:
```typescript
import { useState, useEffect, useCallback, useMemo } from 'react'
import { formatDate } from '@/lib/utils'
import { ApiClient } from '@/lib/api'
export function UserCard({ user }) {
const [count, setCount] = useState(0)
const formatted = formatDate(user.createdAt)
return <div>{user.name}</div>
}
```
After:
```typescript
import { useState } from 'react'
import { formatDate } from '@/lib/utils'
export function UserCard({ user }) {
const [count, setCount] = useState(0)
const formatted = formatDate(user.createdAt)
return <div>{user.name}</div>
}
```
Note: `count`, `setCount`, and `formatted` are still present because they may be used elsewhere in a larger component. Pass 1 only removes imports.
### Pass 2: Commented-Out Code and Debug Statements
**Risk: Very Low**
What to remove:
- Any block of commented-out code that is not an active TODO or architectural note
- `console.log`, `console.debug`, `console.warn` (unless it is a legitimate error logger)
- `debugger` statements
- `print()` in Python when not serving as actual program output
- `fmt.Println` in Go debug instrumentation
Before:
```typescript
async function processOrder(orderId: string) {
console.log('processing order', orderId)
const order = await db.orders.findById(orderId)
// const cached = await cache.get(orderId)
// if (cached) return cached
console.log('order fetched:', order)
const result = await payments.charge(order)
// TODO: add retry logic here
// console.log('charge result', result)
return result
}
```
After:
```typescript
async function processOrder(orderId: string) {
const order = await db.orders.findById(orderId)
const result = await payments.charge(order)
// TODO: add retry logic here
return result
}
```
Rule: `// TODO:` comments are preserved. They are documentation of known gaps, not slop.
### Pass 3: Obvious Comments and Redundant Documentation
**Risk: Low**
What to remove:
- Comments that restate the code in plain English without adding context
- JSDoc `@param` blocks that just repeat the parameter name and type (TypeScript already says this)
- Section dividers that add no structure (`// ===== COMPONENT =====`)
- End-of-block comments (`} // end if`, `} // end for`)
Before:
```typescript
/**
* Gets a user by ID.
* @param id - the user ID
* @param db - the database instance
* @returns the user object
*/
async function getUserById(id: string, db: Database): Promise<User> {
// Query the database for the user
const user = await db.users.findById(id)
// Return the user
return user
} // end getUserById
```
After:
```typescript
async function getUserById(id: string, db: Database): Promise<User> {
return db.users.findById(id)
}
```
Keep comments that explain WHY (business rules, performance choices, known gotchas). Remove comments that explain WHAT (the code already says what).
### Pass 4: Dead Code (Unreachable Branches)
**Risk: Medium — Run tests immediately after**
What to remove:
- Conditions that are always true or always false
- Code after unconditional `return`, `throw`, or `break`
- Else branches of conditions that always throw in the if block
Before:
```typescript
function getStatus(user: User): string {
if (user.role === 'admin' || user.role === 'admin') {
return 'ADMIN'
}
if (user.isActive) {
return 'ACTIVE'
} else {
return 'INACTIVE'
}
// This never runs
return 'UNKNOWN'
}
```
After:
```typescript
function getStatus(user: User): string {
if (user.role === 'admin') {
return 'ADMIN'
}
return user.isActive ? 'ACTIVE' : 'INACTIVE'
}
```
Do not remove branches that look unreachable but depend on runtime data you cannot verify statically. When uncertain, leave it.
### Pass 5: Premature Abstractions (Inline One-Use Helpers)
**Risk: Medium — Run tests immediately after**
What to inline:
- Private/internal functions called exactly once
- Wrapper functions that add no logic (just forward all arguments)
- Intermediate variables assigned once and used once on the next line
Before:
```typescript
function formatUserDisplayName(user: User): string {
return `${user.firstName} ${user.lastName}`.trim()
}
function renderUserCard(user: User) {
const displayName = formatUserDisplayName(user)
return `<div class="card">${displayName}</div>`
}
```
After (if `formatUserDisplayName` is only called from `renderUserCard`):
```typescript
function renderUserCard(user: User) {
const displayName = `${user.firstName} ${user.lastName}`.trim()
return `<div class="card">${displayName}</div>`
}
```
Do NOT inline if:
- The function is exported (public API)
- The function is called from more than one place
- The function name serves as meaningful documentation of intent
- The function contains error handling that would add visual noise when inlined
### Pass 6: Duplication Consolidation
**Risk: Medium-High — Run tests immediately after each consolidation**
What to consolidate:
- Two or more blocks with identical structure and only one variable difference
- Repeated conditional checks that could be extracted to a guard function
- Multiple switch/if-else blocks with the same cases in different files
Before:
```typescript
// In UserService
async function getActiveUsers() {
const users = await db.query(
'SELECT * FROM users WHERE status = $1 AND deleted_at IS NULL',
['active']
)
return users.rows
}
// In AdminService (same file or different file)
async function getActiveAdmins() {
const admins = await db.query(
'SELECT * FROM users WHERE status = $1 AND deleted_at IS NULL AND role = $2',
['active', 'admin']
)
return admins.rows
}
```
After:
```typescript
async function getActiveUsers(role?: string) {
const params: unknown[] = ['active']
let sql = 'SELECT * FROM users WHERE status = $1 AND deleted_at IS NULL'
if (role) {
sql += ' AND role = $2'
params.push(role)
}
const result = await db.query(sql, params)
return result.rows
}
```
Be careful: consolidation that requires complex parameterization may make code harder to understand. If the consolidated version is more complex than the two originals, leave them separate.
### Pass 7: Over-Engineering Simplification
**Risk: High — High scrutiny, run tests after every individual change**
What to simplify:
- Factory pattern used to create exactly one concrete type
- Strategy pattern with exactly one strategy
- Abstract base class with exactly one implementation
- Generic type parameter constrained so tightly it could be a concrete type
Before:
```typescript
interface DataProcessor<T extends BaseData> {
process(data: T): ProcessedData<T>
validate(data: T): ValidationResult
}
class UserDataProcessorFactory {
create(): DataProcessor<UserData> {
return new UserDataProcessor()
}
}
class UserDataProcessor implements DataProcessor<UserData> {
process(data: UserData): ProcessedData<UserData> {
return { ...data, processed: true }
}
validate(data: UserData): ValidationResult {
return { valid: !!data.id }
}
}
```
After (if only UserData ever flows through this):
```typescript
function processUserData(data: UserData) {
if (!data.id) throw new Error('Invalid user data: missing id')
return { ...data, processed: true }
}
```
Rule for Pass 7: If you need more than 2 minutes to understand why an abstraction exists, and there is only one concrete case, remove the abstraction. If you find yourself unsure whether it is load-bearing, leave it. Pass 7 is optional.
## What Is Never Cleaned
| Target | Reason |
|--------|--------|
| Test files (`*.test.*`, `*.spec.*`, `__tests__/`) | Tests are sacred |
| Public API signatures | Breaks callers |
| Error handling at system boundaries (API routes, top-level handlers) | Defense-in-depth |
| Comments explaining regulatory/compliance requirements | Legal context |
| Feature flags | May be toggled at runtime |
| Anything marked `// KEEP` or `// intentional` | Explicit author decision |
## .slopignore File
Place at project root to exclude paths:
```
# .slopignore
src/legacy/ # Old code being migrated, don't touch
src/generated/ # Auto-generated, cleaned by generator
vendor/ # Third-party code
```
## Metrics Report
After all passes complete, output:
```
AI Slop Cleaner Report
======================
Files touched: 12
Lines removed: 147
Lines remaining: 1,843
Reduction: 7.4%
Pass results:
Pass 1 (Dead imports): DONE — 23 lines removed
Pass 2 (Debug code): DONE — 18 lines removed
Pass 3 (Obvious comments): DONE — 41 lines removed
Pass 4 (Dead code): DONE — 12 lines removed
Pass 5 (One-use helpers): DONE — 31 lines removed
Pass 6 (Duplication): SKIPPED — test failed after consolidation (UserService)
Pass 7 (Over-engineering): DONE — 22 lines removed
Skipped details:
Pass 6 reverted: UserService query consolidation broke getUsersByStatus test.
Root cause: test was asserting on the exact SQL string. Left original.
Test status: ALL PASSING (127/127)
```
## Integration with refactor-cleaner Agent
AI slop cleaner runs at the code level (syntactic cleanup). The refactor-cleaner agent runs at the architecture level (structural refactoring). Run this skill first, then refactor-cleaner if structural improvement is needed.
Order:
```
1. ai-slop-cleaner (remove the noise)
2. code-reviewer (verify quality after cleanup)
3. refactor-cleaner (structural improvements if needed)
4. verifier (final gate)
```
## Automatic Trigger
This skill is automatically triggered after:
- kraken agent completes a feature implementation
- spark agent completes a fix
- Any agent produces more than 200 new lines of code
The trigger runs Pass 1 and Pass 2 only by default (very low risk). Passes 3-7 require explicit activation or a `/clean` command.
---
**Remember**: The goal is not minimum lines of code. The goal is maximum clarity per line. If removing something makes the code harder to understand, put it back.Related Skills
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