deslop — community deslop, dotfiles, community, ide skills

v0.1.0

Acerca de este Skill

Perfecto para Agentes de Refactorización de Código que necesitan capacidades avanzadas de limpieza de ramas de Git. Remove AI-generated code slop from the current branch. Use when the user says deslop, remove slop, or asks to clean up AI-generated code.

liby liby
[25]
[2]
Updated: 3/13/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
48
Canonical Locale
en
Detected Body Locale
en

Perfecto para Agentes de Refactorización de Código que necesitan capacidades avanzadas de limpieza de ramas de Git. Remove AI-generated code slop from the current branch. Use when the user says deslop, remove slop, or asks to clean up AI-generated code.

¿Por qué usar esta habilidad?

Habilita a los agentes a eliminar código generado por IA innecesario de las ramas de Git, incluidos comentarios adicionales, comprobaciones defensivas y respaldos, utilizando comandos de Git como `git symbolic-ref refs/remotes/origin/HEAD` para detectar ramas principales y optimizar la calidad del código.

Mejor para

Perfecto para Agentes de Refactorización de Código que necesitan capacidades avanzadas de limpieza de ramas de Git.

Casos de uso accionables for deslop

Eliminar el código generado por IA innecesario de las ramas de características
Limpiar comentarios adicionales y comprobaciones defensivas en las revisiones de código
Optimizar las fusiones de ramas de Git eliminando respaldos y conversiones innecesarias a `any`

! Seguridad y limitaciones

  • Requiere acceso al repositorio de Git
  • Limitado a la eliminación de código generado por IA, no de código escrito por humanos
  • Puede requerir una revisión manual del código eliminado para garantizar la corrección

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is deslop?

Perfecto para Agentes de Refactorización de Código que necesitan capacidades avanzadas de limpieza de ramas de Git. Remove AI-generated code slop from the current branch. Use when the user says deslop, remove slop, or asks to clean up AI-generated code.

How do I install deslop?

Run the command: npx killer-skills add liby/dotfiles/deslop. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for deslop?

Key use cases include: Eliminar el código generado por IA innecesario de las ramas de características, Limpiar comentarios adicionales y comprobaciones defensivas en las revisiones de código, Optimizar las fusiones de ramas de Git eliminando respaldos y conversiones innecesarias a `any`.

Which IDEs are compatible with deslop?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for deslop?

Requiere acceso al repositorio de Git. Limitado a la eliminación de código generado por IA, no de código escrito por humanos. Puede requerir una revisión manual del código eliminado para garantizar la corrección.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add liby/dotfiles/deslop. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use deslop immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

deslop

Install deslop, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Task

Check the diff against the default branch (use git symbolic-ref refs/remotes/origin/HEAD to detect main/master) and remove all AI-generated slop introduced in this branch.

What to remove

  • Extra comments a human wouldn't add or inconsistent with the rest of the file
  • Unnecessary defensive checks or try/catch blocks (especially from trusted/validated code paths)
  • Fallbacks for scenarios that can't happen or are already guaranteed by upstream code
  • Casts to any to work around type issues
  • Any style inconsistent with the surrounding file

Output

Report a 1-3 sentence summary of changes at the end.

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