Academic Humanizer

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.

3,085 stars 224 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)
npx skills add AIScientists-Dev/academic-humanizer --skill academic-humanizer
Manual install
git clone --depth 1 https://github.com/AIScientists-Dev/academic-humanizer.git /tmp/academic-humanizer
mkdir -p ~/.claude/skills
cp -r /tmp/academic-humanizer/. ~/.claude/skills/academic-humanizer

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 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.**

## Process
1. **Read** the manuscript and any author writing sample; note the document type (paper vs. funding
Read the full skill on GitHub

Details

Skill name
academic-humanizer
Repo updated
3 July 2026

FAQ

What does the Academic Humanizer skill do?

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.

How do I install the Academic Humanizer skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add AIScientists-Dev/academic-humanizer --skill academic-humanizer. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Academic Humanizer popular?

It lives in AIScientists-Dev/academic-humanizer, which has 3,085 GitHub stars and 224 forks.

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