Como usar
- Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
- Consulte no original as ferramentas, credenciais e ambientes necessários.
- Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/zereight/gitlab-mcp --skill ai-slop-cleanerAntes de começar
- A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
- Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill
Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
AI Slop Cleaner
Clean AI-generated code slop without changing behavior. Deletion-first workflow with regression safety.
When to Use
- Code that works but feels bloated, repetitive, or over-abstracted
- Duplicate logic, dead code, wrapper layers, boundary leaks
--reviewfor reviewer-only mode (no changes, just findings)
When NOT to Use
- New feature build or product change
- Broad redesign
- Behavior is unclear and untestable
Principles
- Preserve behavior unless explicitly asked for changes
- Delete before refactoring — removal is safest
- Scope-bounded: only clean what was specified
- Regression-safe: verify tests pass after every change
Slop Signals
- Unnecessary wrapper functions
- Duplicated logic across files
- Over-abstracted single-use helpers
- Dead code / unreachable branches
- Excessive comments restating obvious code
- Premature abstractions (used only once)
Workflow
- Identify target files/scope
- Run existing tests (baseline)
- Apply deletions first (dead code, unused imports)
- Simplify remaining code (reduce nesting, merge duplicates)
- Re-run tests after each change
- Report what was cleaned and verification results
