Skills

Academic Humanizer

Improve the clarity and voice of AI-assisted academic writing (papers, theses...

Install

npx skills add AIScientists-Dev/academic-humanizer --skill academic-humanizer -g -a claude-code -y
Category
Writing
Updated
4mo ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and funding proposals (NSF Project Summary/Description, NIH Specific Aims): preserve scholarly conventions, match claims to evidence (and, for proposals, claims to feasibility), and match the author's own voice. It never changes a number, result, or citation, and it is not for evading AI-use disclosure. Use when editing AI-assisted academic prose or grant proposals.

Academic Humanizer

Improve the clarity and voice of AI-assisted academic writing while keeping the precise, evidence-bound voice that scholarship requires and matching the author's own style. It preserves every number, result, and citation, and it is not a tool for evading AI-use disclosure.

When to use

Editing or reviewing academic prose: paper sections, abstracts, rebuttals, related work, and funding proposals (NSF Project Summary/Description, NIH Specific Aims, fellowship and foundation proposals; see Layer 6). Not for blogs, marketing, or personal essays, and never inject opinion, humor, or first-person "personality" into a manuscript. For technical writing, neutral and precise is the human voice. One caveat for proposals: their register is different from a paper's, since they are sold on vision and feasibility, so the ambition language a paper would trim is appropriate there; apply Layer 6, not the paper layers' stricter trimming, to vision statements.

Core principle

Academic writing already has a correct human voice: neutral, precise, third-person plural ("we"), every claim tied to its evidence. The job is to (1) strip the AI tells without casualizing, and (2) enforce the discipline a general humanizer misses: every claim earns its number, figure, or citation, and no verb is stronger than its evidence.

Read the whole SKILL.md on GitHub

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