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id-slop

Identify and catalog AI-generated code slop with a prioritized removal plan.

5|1|Updated Feb 18, 2026
Search Tags:#code quality#refactoring#technical debt#dead code#code cleanup#AI artifacts
One-click install
npx skills add https://github.com/TalonT-Org/AutoSkillit --skill id-slop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: id-slop
Source: https://github.com/TalonT-Org/AutoSkillit/tree/main/.claude/skills/id-slop
Command: npx skills add https://github.com/TalonT-Org/AutoSkillit --skill id-slop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies and helps remove "code slop" – remnants of AI-generated code like unnecessary comments, outdated compatibility hacks, and dead code – that can accumulate and degrade code quality.

Core Features & Use Cases

  • Automated Slop Detection: Scans code for specific patterns indicating AI-generated technical debt.
  • Categorization & Prioritization: Classifies identified slop into types (e.g., Phase References, Backward Compatibility) and assigns priority levels.
  • Removal Plan Generation: Creates a detailed, actionable plan for removing the identified slop.
  • Dry Walkthrough Validation: Validates the removal plan without making actual code changes.
  • Use Case: After an AI-assisted feature development sprint, use this Skill to perform a cleanup scan, identify and plan the removal of any lingering AI artifacts, ensuring a cleaner codebase.

Quick Start

Run the id-slop skill to scan the current project for AI-generated code slop and generate a removal plan.

Frequently Asked Questions about id-slop

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

FAQPage Schema
How do I detect and clean up AI-generated code slop in my codebase?▼

To clean up AI-generated code slop, scan your codebase to identify and catalog useless comments, backward compatibility hacks, and dead code. The process categorizes these artifacts and generates a prioritized removal plan validated by a dry walkthrough.

What is AI-generated technical debt and how does it affect code quality?▼

AI-generated technical debt consists of code slop like unnecessary comments, outdated compatibility hacks, and dead code introduced during AI-assisted development. These remnants accumulate in a codebase and degrade overall code quality if not systematically removed.

How do I plan dead code removal without breaking existing application logic?▼

You can plan dead code removal safely by generating an actionable plan and validating it through a dry walkthrough. This approach catalogs dead code and simulates the removal process without making actual changes to your source files.

What's the best way to categorize and prioritize refactoring tasks for AI artifacts?▼

The best way to prioritize refactoring tasks for AI artifacts is to classify identified code slop into specific types like Phase References and Backward Compatibility, then assign priority levels to generate a detailed, actionable removal plan.

Does this code cleanup approach require any specific dependencies or external tools?▼

No specific dependencies or external tools are required for this code cleanup approach. It operates independently using internal scripts and references, utilizing subagents for parallel exploration of various slop categories within your project.

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