AI Slop Cleaner Skill

Reduce AI-generated slop with a regression-tests-first, smell-by-smell cleanup workflow that preserves behavior and raises signal quality.

When to Use

Use this skill when:

• A code path works but feels bloated, noisy, repetitive, or over-abstracted
• A user asks to “cleanup”, “refactor”, or “deslop” AI-generated output
• Follow-up implementation left duplicate code, dead code, weak boundaries, missing tests, fallback-like code, or unnecessary wrapper layers
• You need a disciplined cleanup workflow without broad rewrites

GPT-5.5 Guidance Alignment

• Keep outputs concise and evidence-dense unless risk or the user requests more detail.
• Treat newer user instructions as local workflow updates without discarding earlier non-conflicting constraints.
• Keep using inspection, tests, diagnostics, and verification until the cleanup is grounded.
• Proceed automatically through clear, reversible cleanup steps; ask only when a choice materially changes scope or behavior.