humanizer-zh

Remove AI writing traces from Chinese text across editing and proofreading workflows.

607|75|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILL --skill humanizer-zh-oubigfa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: humanizer-zh
Source: https://github.com/OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILL/tree/main/.backup/humanizer-zh
Command: npx skills add https://github.com/OUBIGFA/De-AI-Prompt-Enhancer-Writer-Booster-SKILL --skill humanizer-zh-oubigfa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

本技能帮助用户识别并去除文本中的 AI 写作痕迹,使文本听起来更自然、更像人类作者所写。

Core Features & Use Cases

  • 识别并去除 AI 写作痕迹的多种模式(夸大象征意义、宣传性语言、以-ing结尾的肤浅分析、模糊归因、破折号过度使用、三段式法则、AI 词汇、否定式排比、过多的连接性短语)
  • 重写以保留核心信息,同时调整语气和风格
  • 适用于编辑、润色、翻译与审阅等工作流

Quick Start

将需要处理的文本提交给本技能,它会输出经人性化处理、去除 AI 痕迹的文本版本。

Frequently Asked Questions about humanizer-zh

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

FAQPage Schema
How do I remove AI writing traces from Chinese text?

To remove AI writing traces from Chinese text, you can use a humanizing tool that detects patterns like inflated symbolism, promotional language, and vague attributions, then rewrites the content to sound more natural while preserving the original meaning.

What are common AI writing patterns to look for when proofreading Chinese content?

Common AI writing patterns in Chinese content include excessive connective phrases, dash overuse, the three-paragraph rule, AI vocabulary, negation parallelism, and superficial analyses ending with -ing suffixes, which require tone adjustment for natural readability.

Can I humanize AI-generated text for translation and rewriting workflows?

Yes, you can humanize AI-generated text for translation and rewriting workflows by applying text editing techniques that repair promotional language and vague attributions, ensuring the paraphrased output maintains quality and consistency.

Does text humanization preserve the original meaning of the content?

Text humanization preserves the original meaning of the content by focusing exclusively on tone adjustment and style modification, repairing structural AI patterns like negation parallelism without altering the underlying information.

What is the best way to fix excessive promotional language in AI writing?

The best way to fix excessive promotional language in AI writing is to run the text through a humanizing process that identifies and rewrites inflated symbolism and AI vocabulary, producing a more natural and consistent tone.