Enhanced Chinese AI Humanizer
Paste the following prompt into your AI chat to install this skill:
Please install @user_5724919f/humanizer-zh-enhanced into my AI assistant according to https://skillhub.cn/install/skillhub.md.
About this skill
Why It Helps
Chinese technical posts, product copy, and documentation often develop a polished but generic AI tone: neat syntax, stacked terms, and cautious phrasing that lacks stance. Simple rewrites can erase the original intent. This skill turns “removing AI traces” into a reviewable workflow.
How It Works
- Voice calibration: if a style sample is provided, it extracts tone, sentence length, person, and terminology density as the rewrite baseline.
- Pattern detection: it scans text against the 27 AI writing patterns in
humanizer-guide, including vague claims, pseudo-logic, over-listing, and hedged phrasing. - Targeted rewriting: it revises only flagged fragments, preserving core meaning and replacing template-like wording with concrete, verifiable statements.
- Anti-AI self-check: before final output, it checks for residual formulaic sentences, over-explanation, and monotonous rhythm, then revises again.
- Quality scoring: it evaluates naturalness, accuracy, and style consistency on a 50-point scale across five dimensions.
Scope and Caveats
It is best for Chinese long-form copy, documentation, marketing text, and technical blogs. It does not replace specialized editing for strict terminology translation, legal compliance, or very short slogans. The clearer the style sample, the more stable the output.
Use Cases
- Before submitting a Chinese tech blog post that reads too formulaic, use a style sample to calibrate tone and rewrite sentence by sentence to strip template phrasing.
- Product launch copy was rejected as too AI-sounding; identify all 27 AI patterns and rewrite paragraph by paragraph while keeping the core selling points intact.
- Unifying the tone of a team-maintained Chinese API doc to match a reference sample without altering the precise meaning of interface parameters.
- Running a final anti-AI self-check on a long marketing piece before review to confirm no residual pseudo-logic, over-listing, or monotonous rhythm remains.
Best For
- Independent tech writers who publish Chinese blog posts weekly and keep getting them bounced back as too AI-sounding.
- Marketing content leads who own product launch copy and need natural, non-exaggerated selling points in a consistent brand voice.
- DevRel engineers maintaining multiple Chinese API or developer docs where terminology must stay precise and tone uniform.
- Technical documentation engineers polishing internal knowledge-base and training material to remove template phrasing without altering business meaning.
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