Humanize AI Articles
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About this skill
Problem
Some articles read smoothly but still reveal AI authorship: overly balanced claims, templated openings, empty transitions, and formulaic conclusions. The useful task is not generic polishing, but removing mechanical patterns while preserving the original facts, arguments, data, and structure.
How It Works
The skill processes text in stages:
- AI-pattern diagnosis: flags formulaic phrases, first / second / third, in addition / notably, not only / but also, and on one hand / on the other, with paragraph-level locations.
- Passage rewriting: replaces template lines, loosens rigid structure, removes weak connectors, varies sentence length, and adds measured subjective judgment or author voice.
- Full-text review: checks terminology, person, tense, completeness, and fit for the article type, so academic text does not become too casual and reports stay professional.
Boundaries
Best for papers, reports, blog posts, and news copy that need fewer AI cues without changing facts. It should not invent data or change the core position; citations, names, places, and required terms stay intact. If the source already sounds human-written, the skill should say so instead of forcing changes.
Use Cases
- Before journal submission, revise an over-templated abstract while preserving data, claims, and logic.
- Before delivery, remove formulaic first/second/in-summary language from a report without changing terms or conclusions.
- Revise a draft public post flagged as machine-written to add author voice without inventing facts.
- Clean templated sentences and vague closings in a news draft while keeping names, places, and objective facts.
Best For
- Graduate researchers preparing a paper who need to reduce formulaic abstract/intro language without changing data or conclusions.
- Consultants delivering client proposals who need reports to sound natural and professional while keeping key arguments.
- Social editors managing WeChat posts who need drafts to sound human-written without adding unverified information.
- Journalists or editors drafting news copy who need fewer template phrases while keeping objectivity, accuracy, and sources.
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