Ai Slop Cleaner

Use this skill to clean AI-generated code slop without drifting scope or changing intended behavior. In OMC, this is the bounded cleanup workflow for code that works but feels bloated, repetitive, weakly tested, or over-abstracted.

When to Use

Use this skill when:

• the user explicitly says deslop, anti-slop, or AI slop
• the request is to clean up or refactor code that feels noisy, repetitive, or overly abstract
• follow-up implementation left duplicate logic, dead code, wrapper layers, boundary leaks, or weak regression coverage
• the user wants a reviewer-only anti-slop pass via --review
• the goal is simplification and cleanup, not new feature delivery

When Not to Use

Do not use this skill when:

• the task is mainly a new feature build or product change
• the user wants a broad redesign instead of an incremental cleanup pass
• the request is a generic refactor with no simplification or anti-slop intent
• behavior is too unclear to protect with tests or a concrete verification plan

OMC Execution Posture

• Preserve behavior unless the user explicitly asks for behavior changes.
• Lock behavior with focused regression tests first whenever practical.
• Write a cleanup plan before editing code.
• Prefer deletion over addition.
• Reuse existing utilities and patterns before introducing new ones.
• Avoid new dependencies unless the user explicitly requests them.
• Keep diffs small, reversible, and smell-focused.
• Stay concise and evidence-dense: inspect, edit, verify, and report.
• Treat new user instructions as local scope updates without dropping earlier non-conflicting constraints.

Scoped File-List Usage

This skill can be bounded to an explicit file list or changed-file scope when the caller already knows the safe cleanup surface.

• Good fit: oh-my-claudecode:ai-slop-cleaner skills/ralph/SKILL.md skills/ai-slop-cleaner/SKILL.md
• Good fit: a Ralph session handing off only the files changed in that session
• Preserve the same regression-safe workflow even when the scope is a short file list
• Do not silently expand a changed-file scope into broader cleanup work unless the user explicitly asks for it

Ralph Integration

Ralph can invoke this skill as a bounded post-review cleanup pass.

• In that workflow, the cleaner runs in standard mode (not --review)
• The cleanup scope is the Ralph session's changed files only
• After the cleanup pass, Ralph re-runs regression verification before completion
• --review remains the reviewer-only follow-up mode, not the default Ralph integration path

Review Mode (--review)

--review is a reviewer-only pass after cleanup work is drafted. It exists to preserve explicit writer/reviewer separation for anti-slop work.

• Writer pass: make the cleanup changes with behavior locked by tests.
• Reviewer pass: inspect the cleanup plan, changed files, and verification evidence.
• The same pass must not both write and self-approve high-impact cleanup without a separate review step.

In review mode:

1. Do not start by editing files.
2. Review the cleanup plan, changed files, and regression coverage.
3. Check specifically for:

• leftover dead code or unused exports
• duplicate logic that should have been consolidated
• needless wrappers or abstractions that still blur boundaries
• missing tests or weak verification for preserved behavior
• cleanup that appears to have changed behavior without intent

1. Produce a reviewer verdict with required follow-ups.
2. Hand needed changes back to a separate writer pass instead of fixing and approving in one step.

Workflow

1. Protect current behavior first

• Identify what must stay the same.