Anti-Slop Content & Code Quality

About

The Anti-Slop skill provides a comprehensive suite of tools and reference guides designed to identify and remove telltale signs of low-quality AI generation. By targeting overused phrases, redundant code abstractions, and cookie-cutter design patterns, this skill helps users transform generic AI output into high-quality, human-centric content. It features automated scripts for text analysis and cleanup, alongside domain-specific playbooks for refactoring code and refining visual designs, making it an essential utility for anyone aiming to maintain high standards in an AI-assisted workflow.

Key Features

• Safety-first workflow with preview modes and automatic file backups
• 57 GitHub stars
• Automated text slop detection with scoring and actionable recommendations
• Domain-specific reference guides for refactoring code and improving UI/UX
• Programmatic cleanup of overused AI phrases, meta-commentary, and buzzwords
• Aggressive cleanup mode for deep linguistic refinement and hedging removal

Use Cases

• Refactoring over-engineered boilerplate code and renaming generic variables
• Auditing UI designs to replace repetitive 'template-like' visual patterns with intentional choices
• Polishing AI-generated documentation or blog posts to sound more human and direct