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Academic Writing Humanizer

brycewang-stanfordbybrycewang-stanford
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コンテンツ管理

Refines AI-generated medical manuscripts by removing robotic linguistic patterns and restoring professional academic tone.

This skill specializes in identifying and correcting common AI-generated writing artifacts in academic medical literature. Based on established guidelines like Wikipedia's 'Signs of AI writing,' it systematically replaces inflated significance claims, superficial present-participle analyses, and repetitive AI vocabulary with precise, evidence-based academic language. It ensures that manuscripts maintain a formal, objective tone while preserving essential transitional phrases and legitimate scholarly attributions, making it an indispensable tool for researchers and editors preparing manuscripts for peer-reviewed journals.

主な機能

01Detects and replaces 12+ common AI writing patterns including copula avoidance and 'Rule of Three' overuse.
021,853 GitHub stars
03Enforces a strict zero-tolerance policy for em dashes to minimize recognizable AI-detection signatures.
04Preserves legitimate academic transitions and citation-backed attribution phrases to maintain scholarly rigor.
05Converts vague promotional language into objective, data-driven scientific reporting.
06Corrects 'elegant variation' and formulaic section structures often produced by large language models.

ユースケース

01Reviewing and editing AI-drafted medical manuscripts before submission to high-impact journals.
02Humanizing research summaries or grant proposals that sound overly mechanical or promotional.
03Converting formulaic AI-generated literature reviews into formal, peer-review-ready academic prose.