writing-anti-ai

Detect and rewrite AI-generated writing patterns in English and Chinese prose.

2|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/Clay-HHK/claude-config --skill writing-anti-ai-clay-hhk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: writing-anti-ai
Source: https://github.com/Clay-HHK/claude-config/tree/main/skills/writing-anti-ai
Command: npx skills add https://github.com/Clay-HHK/claude-config --skill writing-anti-ai-clay-hhk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps transform prose that exhibits detectable AI-generated patterns into natural, human-sounding writing while preserving meaning and tone for both English and Chinese texts.

Core Features & Use Cases

  • Pattern Detection: Identifies inflated symbolism, promotional language, vague attributions, superficial -ing analyses, negative parallelisms, rule-of-three structures, em-dash overuse, AI-specific vocabulary, and other formulaic constructions.
  • Bilingual Rewriting: Applies targeted rewrites and voice adjustments for English and Chinese content to maintain intent and readability.
  • Practical Use Cases: Humanize marketing copy before publishing, polish academic abstracts, clean up AI-assisted translations, and review user-facing documentation for publication.
  • Scoring & Guidance: Provides a quick 1-10 scoring across directness, rhythm, trust, authenticity, and density, plus concrete before/after examples and reference lists for deeper rules.

Quick Start

Humanize the following paragraph by removing AI writing patterns, preserving the original meaning and tone, and making the result sound natural and human-written.

Frequently Asked Questions about writing-anti-ai

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

FAQPage Schema
How do I remove AI writing patterns from Chinese and English text?

Bilingual humanizing detects formulaic constructions like vague attributions, promotional language, and rule-of-three structures, applying targeted rewrites so marketing copy and academic abstracts sound human-written.

What are common AI-generated writing patterns to fix in marketing copy?

Common AI-generated writing patterns include superficial -ing analyses, inflated symbolism, promotional language, and rule-of-three structures, which are rewritten to maintain concise rhythm and authenticity for publication.

How do I humanize AI-assisted translations before publication?

Humanizing AI-assisted translations involves adjusting voice and applying targeted rewrites to eliminate vague attributions and AI-specific vocabulary, ensuring user-facing content sounds natural across English and Chinese.

Does this AI detection approach work for polishing academic abstracts?

Yes, this approach works for polishing academic abstracts by identifying formulaic constructions and AI-specific vocabulary, then rewriting affected passages to preserve meaning while scoring directness, rhythm, and trust.

What are the limitations of automated de-AI text humanization?

Limitations of de-AI humanization include the challenge of preserving exact meaning while removing deeply embedded patterns like negative parallelisms, requiring careful review to maintain authentic tone and concise rhythm.