de-slop

Scan Git changes for AI artifacts and unnecessary code before commits.

1|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/iamladi/cautious-computing-machine--primitives-plugin --skill de-slop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: de-slop
Source: https://github.com/iamladi/cautious-computing-machine--primitives-plugin/tree/main/skills/de-slop
Command: npx skills add https://github.com/iamladi/cautious-computing-machine--primitives-plugin --skill de-slop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Remove AI-generated artifacts and unnecessary code from changes to ensure clean commits. It scans changed files for redundant comments, AI TODOs, excessive docstrings, and unnecessary markdown files. Git-only, no GitHub required.

Core Features & Use Cases

  • Dry-run scanning of changed files to identify AI artifacts and noise before committing
  • Remove redundant comments and simplify overly verbose docstrings while preserving formatting
  • Flag and optionally delete unnecessary markdown notes while keeping essential docs intact

Quick Start

Dry-run the de-slop workflow to preview and prepare a clean commit without changing files.

Frequently Asked Questions about de-slop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI-generated artifacts and redundant comments before a git commit?

To remove AI-generated artifacts before a git commit, run a dry-run scan to identify redundant comments, AI TODOs, and excessive docstrings, then use numbered selections to safely edit your changed files while preserving formatting.

How do I clean up excessive docstrings and stray markdown notes in changed files?

You can clean up excessive docstrings and stray markdown notes by scanning your changed Git files to flag unnecessary AI artifacts, offering numbered selections to optionally delete them while keeping essential documentation intact.

Does the de-slop code cleanup workflow modify files automatically during a dry-run scan?

No, the dry-run scan safely previews AI artifacts and unnecessary code in your changed files without modifying them, providing numbered selections so you can manually approve edits before finalizing your local commits or PR preparation.

Can I scan and clean up test files when removing AI artifacts from my code?

The code cleanup process avoids touching test files unless explicitly selected, ensuring your test suite remains unaffected while scanning changed Git files for redundant comments and unnecessary markdown notes during local commit preparation.

Do I need GitHub to scan changed files for unnecessary markdown notes and AI TODOs?

No, you do not need GitHub to scan changed files for unnecessary markdown notes and AI TODOs; the workflow is Git-only and operates entirely on local changes during commit and PR preparation.

What is the best way to prepare clean commits by stripping AI noise from code changes?

The best way to prepare clean commits is to perform a dry-run scan on your Git changed files to identify and remove AI noise like redundant comments and stray markdown notes, preserving formatting through safe numbered edit selections.