matsuikentaro1

Humanizer Academic — AI skill for Claude Code

AI community

A Claude Code skill that removes signs of AI-generated writing from academic medical papers, making them sound more natural and professionally written.

How to install Humanizer Academic

This entry records only its repository, not the path inside it, so there is no exact command to give. Open matsuikentaro1/humanizer_academic and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Humanizer Academic does

A Claude Code skill that removes signs of AI-generated writing from academic medical papers, making them sound more natural and professionally written.

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README

Humanizer Academic

A skill that removes signs of AI-generated writing from academic medical papers, making them sound more natural and professionally written.

The whole thing is a single file, `SKILL.md`. It is a long structured prompt, so you do not need Claude Code to use it.

Usage

In a browser (Claude, ChatGPT, or anything that takes an attachment)

Download `SKILL.md` from this repository.
Upload it to the chat along with the text you want to edit.
Ask: Apply this skill to the following manuscript text: [your text]

That is all. No installation.

In Claude Code

Clone into your skills directory:

mkdir -p ~/.claude/skills
git clone https://github.com/matsuikentaro1/humanizer_academic.git ~/.claude/skills/humanizer_academic

Or, if you already have the repo cloned or downloaded `SKILL.md` on its own:

mkdir -p ~/.claude/skills/humanizer_academic
cp SKILL.md ~/.claude/skills/humanizer_academic/

The skill loads itself when it is relevant, so you can simply ask:

Please humanize this academic text: [your text]

Overview

Based on [Wikipedia's "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) guide, adapted for medical and scientific literature. Examples are derived from the EMPA-REG OUTCOME trial publications and from the author's (K. Matsui) observations during academic manuscript editing.

Key Insight from Wikipedia

"LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

34 Patterns Detected (with Before/After Examples)

Content Patterns

#	Pattern	Before	After
1	Significance inflation	"represents a pivotal challenge in the evolving landscape"	"is highly prevalent in patients with diabetes"
2	Notability claims	"landmark trial, led by renowned investigators"	"A