Detect and remove AI slop patterns in text, code, and design content.
npx skills add https://github.com/rand/cc-experiments --skill anti-slop
Please help me install this Agent Skill. Skill: anti-slop Source: https://github.com/rand/cc-experiments/tree/main/skills/anti-slop Command: npx skills add https://github.com/rand/cc-experiments --skill anti-slop
The proliferation of AI-generated content often leads to "AI slop"—generic, low-quality patterns in text, code, and design. This skill provides a comprehensive toolkit to detect and eliminate these patterns, ensuring your outputs are authentic, specific, and high-quality, saving you from tedious manual refinement.
detect_slop.py to analyze text files for overused phrases, buzzwords, and meta-commentary, providing a slop score and actionable recommendations.clean_slop.py to automatically remove common text slop patterns, with preview and backup options for safe refinement.code-patterns.md, design-patterns.md) to manually identify and fix generic patterns in programming and visual/UX design.detect_slop.py script to identify generic phrases, then use clean_slop.py to automatically refine the text, ensuring a professional and authentic tone.Review the attached article 'my_draft.md' for AI slop patterns and suggest improvements.
High-intent search queries and answers about installing and using this skill.
Detect AI slop—generic phrases, buzzwords, and low-quality patterns—by running the `detect_slop.py` script on your text files. It analyzes content for overused patterns, assigns a slop score, and provides actionable recommendations to improve authenticity and specificity.
Yes, use `clean_slop.py` to automatically remove common text slop patterns with preview and backup options. The tool safely refines content in-place, eliminating generic phrases while preserving your original meaning.
AI slop in code includes boilerplate-heavy patterns and generic naming; in design, it's overused UI conventions and placeholder layouts. Reference guides (`code-patterns.md`, `design-patterns.md`) detail specific patterns to identify and replace with intentional, context-specific implementations.
Run quality checks before publishing AI-assisted content. Detect slop patterns first, then use automated cleanup to refine text, ensuring professional tone and authenticity across articles, documentation, and design reviews.
Yes, anti-slop integrates into content reviews, code refactoring, and design quality assurance workflows. Rule-based pattern matching and configurable aggression settings let you adapt detection to your team's standards.
Detection analyzes content and flags problems with scores and guidance; cleaning automatically removes patterns with safe backups. Use detection to audit, cleaning to refine—apply both before finalizing outputs.
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