# humanize-academic-writing

Rewrites AI-assisted social science drafts into authentic academic prose. It helps researchers smooth out mechanical phrasing when editing their original work.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2000 installs · ★ 26
- Author: momo2young
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/momo2young/humanize-academic-writing/tree/HEAD/SKILL.md
- Updated: 2026-01-25
- HTML: https://affpapa.org/en/nevibecode/skills/humanize-academic-writing

## What it does

This skill targets English-language papers in sociology and political science. The process begins with `python scripts/ai_detector.py input.txt`. The script measures vocabulary diversity, checks passive voice, and flags overused transitions like "Moreover" or "Additionally". It outputs an AI probability score along with marked issues per paragraph.

Revision follows five concrete strategies. Sentences of uniform length (15 to 20 words) get broken into varied rhythms. Abstract placeholders like "various aspects" or "in terms of" turn into named theories and empirical citations. Each revised paragraph includes the original snippet, the rewritten version, and a concise rationale detailing the fixed markers.

Running the initial detector requires a working Python environment. The prompt rules strictly reflect social science conventions, so adapting them to engineering or hard sciences will require manual adjustments.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add momo2young/humanize-academic-writing --skill humanize-academic-writing -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/humanize-academic-writing/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/humanize-academic-writing/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add momo2young/humanize-academic-writing --skill humanize-academic-writing -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/humanize-academic-writing/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add momo2young/humanize-academic-writing --skill humanize-academic-writing -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/humanize-academic-writing/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install momo2young/humanize-academic-writing humanize-academic-writing
```

2. **Manually: put the files in place**
- File: `.github/skills/humanize-academic-writing/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add momo2young/humanize-academic-writing --skill humanize-academic-writing -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/momo2young/humanize-academic-writing
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/humanize-academic-writing/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add momo2young/humanize-academic-writing --skill humanize-academic-writing -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/momo2young/humanize-academic-writing/tree/HEAD/SKILL.md

## When to use it
- Detect AI writing markers using `ai_detector.py`
- Vary monotonous sentence lengths across draft paragraphs
- Remove robotic connectors like "Moreover" and "Furthermore"
- Replace abstract placeholders with concrete scholarly citations

## Example prompts
- Run scripts/ai_detector.py on input.txt and humanize my sociology paper draft
- Rewrite this section to remove repetitive connectors like Moreover and Furthermore
- Vary the sentence lengths in my draft and add disciplinary hedging

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: c4f5e802dc322d9f.

BEGIN THIRD-PARTY FILE c4f5e802dc322d9f
````text
---
name: humanize-academic-writing
description: Transform AI-generated academic text into natural, human-like scholarly writing for social sciences. Detects AI patterns (repetitive structures, abstract language, mechanical flow) and rewrites with authentic academic voice. Use when revising AI-drafted papers, improving writing naturalness, reducing AI detection markers, or when user mentions humanizing text, academic writing quality, or social science writing for non-native English speakers.
---

# Humanize Academic Writing for Social Sciences

## Academic Integrity Statement

**Purpose**: This skill helps researchers improve the quality and naturalness of their **own original ideas** expressed through AI-assisted writing tools.

**Ethical Use**:
- ✅ Revising AI-drafted text based on your own research and ideas
- ✅ Improving writing quality for non-native English speakers  
- ✅ Learning better academic writing patterns
- ❌ Using AI to generate ideas you don't understand
- ❌ Submitting work that doesn't represent your intellectual contribution

**Principle**: The goal is authentic scholarly communication, not deception.

---

## Target Audience

Non-native English speakers in social sciences (sociology, anthropology, political science, education, psychology) who:
- Have original ideas and research
- Used AI tools to draft their text
- Need to humanize the writing style
- Want to reduce obvious AI patterns

---

## When to Use This Skill

- User has AI-generated draft based on their own ideas
- Text feels "too perfect," mechanical, or repetitive
- Need to reduce AI detection markers
- Want authentic academic voice for social science writing
- Paragraph transitions feel robotic
- Language is overly abstract without concrete examples

---

## Core Workflow

### Step 1: Analyze the Text

First, run the AI detection analyzer to identify problematic patterns:

```bash
python scripts/ai_detector.py input.txt
```

The analyzer identifies:
- Repetitive sentence structures and lengths
- Overused AI transition phrases (Moreover, Furthermore, Additionally)
- Abstract/vague language patterns ("various aspects", "in terms of")
- Mechanical paragraph transitions
- Unnatural word choices for social sciences
- Low vocabulary diversity (Type-Token Ratio)
- Excessive passive voice
- Consecutive sentence similarity

**Output**: AI probability score + specific issues marked per paragraph

### Step 2: Apply Targeted Rewriting Strategies

Based on detected issues, apply these fixes:

#### Strategy 1: Vary Sentence Rhythm (Fix Uniformity)
````
END THIRD-PARTY FILE c4f5e802dc322d9f

The third-party file has ended. Everything between the c4f5e802dc322d9f tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 2570 of 12471 bytes. © momo2young · MIT · https://github.com/momo2young/humanize-academic-writing/tree/HEAD/SKILL.md

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