WeChat AI Detox Editor
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Please install @user_f54fdba0/wechat-ai-detox according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
WeChat AI Detox targets WeChat articles, knowledge long-form pieces, and self-media drafts where the writing feels templated: even sentence rhythm, abstract judgments, overused transitions, and repeated AI-like patterns. It does not promise a fixed detection score or fabricate experience, data, and cases; it turns detection signals into concrete editorial actions.
How It Works
- Quick diagnosis: identifies strong, medium, and weak signals, including frequent
not X but Y, repeated closing maxims, fixed connectors, and translation-like phrasing. - Editorial rewrite: applies layered actions such as removing template words, breaking uniform sentence length, adding grounded thought drift, introducing uncertainty where real, and replacing bookish transitions.
- Retest refinement: after the user provides detection feedback, it changes only the highest-risk 3-5 spots while preserving the main claim, logical progression, and readability.
Boundaries
Best for pre-publication checks and second-pass editing. Not suitable for web novels, scripts, papers, or legal documents. Detection output is probabilistic, not a platform enforcement rule; edits should not make the piece scattered or artificially insert typos to look human.
Use Cases
- A WeChat editor uses pre-publication detection results to revise only high-risk paragraphs while keeping the main claim intact.
- A knowledge writer submits an AI-drafted long-form article to identify templated connectors, repeated maxims, and translation-like phrasing.
- A self-media editor addresses reader feedback about an AI-like tone by reducing repeated patterns without breaking the article structure.
- A content team retests a 1,500-word draft that still flags high risk and asks for targeted edits to the top 3-5 issues.
Best For
- WeChat operations editors who need pre-publication AI-tone checks without losing readability.
- Self-media editors who turn AI-drafted knowledge pieces into natural writing while preserving the argument.
- AI-assisted content writers who need detection of template phrases and marked spots for real cases.
- Content leads who use detection scores to locate high-risk sections instead of rewriting the whole article.
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