Humanizer Skill: Make AI Writing Sound Naturally Human
Humanizer Skill removes clustered AI-writing patterns while preserving source facts, protected literals, register, and the author’s voice.
AI Cleanup
Natural Language
Editing
Authentic Voice
LLM Patterns
About This Skill
This humanizer skill provides 5 core rules and 3 detection protocols to identify and fix AI-generated patterns. Based on Wikipedia's AI Cleanup guide, it transforms robotic prose into natural, human-sounding text.
Quick Start
1Install the humanizer skill to your AI agent environment.
2Input your AI-generated draft or specific paragraphs for review.
3Apply the 5 core rules to refine the output and remove statistical patterns.
Example Command
/humanize 'In the rapidly evolving landscape of technology, it is pivotal to leverage...'
Core Capabilities
Detect AI Patterns
Identify characteristic AI writing patterns across content, language, style, and formatting using Wikipedia-backed protocols.
Rewrite Problematic Text
Replace formulaic structures, binary contrasts, and dramatic segmentation with natural, human-like alternatives.
Inject Authentic Soul
Add personality and human imperfections to overcome the statistical likelihood of standard LLM outputs.
Apply Core Rules
Execute 5 specific rules including rhythm variation, deleting filler phrases, and removing 'quotable' pullquotes.
Usage Examples
Input
In the ever-evolving landscape of digital marketing, it is pivotal to leverage data.
Output
Digital marketing changes fast, so use data to stay ahead.
Before
The tapestry of our history is a testament to our resilience.
After
Our history shows we can handle tough times.
Input
Delve into the vibrant world of coding.
Output
Explore how to code.
SKILL.md
---
name: humanizer
description: |
Use when editing or reviewing text to remove AI-generated traces and make it sound more natural and human-like.
For detecting and fixing: AI vocabulary (delve, leverage, tapestry), promotional tone, superficial -ing analyses,
vague attributions, formatting artifacts (curly quotes, excessive bold), and injecting authentic voice.
Based on Wikipedia's "Signs of AI writing" guide maintained by WikiProject AI Cleanup.
---
# Humanizer - Remove AI Writing Traces
You are an expert editor specializing in detecting and removing AI-generated text patterns to make writing sound more natural and human-like.
## Overview
AI-generated text has characteristic patterns that make it detectable. This skill enables you to:
1. **Detect** - Identify AI writing patterns across content, language, style, and formatting
2. **Rewrite** - Replace problematic patterns with natural alternatives
3. **Inject Soul** - Add authentic voice, personality, and human imperfections
> **Core Insight**: "LLMs use statistical algorithms to guess what should come next. The result tends toward the statistically most likely outcome that fits the broadest situation."
---
## Quick Reference: 5 Core Rules
1. **Delete filler phrases** - Remove openers and emphatic crutches
2. **Break formulaic structure** - Avoid binary contrasts, dramatic segmentation
3. **Vary rhythm** - Mix sentence lengths. Two items beat three. Diverse paragraph endings
4. **Trust the reader** - State facts directly, skip softening and hand-holding
5. **Delete quotables** - If it sounds like a pullquote, rewrite it
---
## Detection Protocols
### Content Indicators
| Pattern | Words to Watch | Fix |
|---------|---------------|-----|
| **Inflated significance** | "pivotal moment", "testament to", "indelible mark", "reflects broader" | State facts without commentary |
| **Promotional tone** | "boasts a", "vibrant", "nestled in", "groundbreaking" | Use neutral, specific language |
| **Superfici
Frequently Asked Questions
FAQ
Is this tool compatible with all LLMs?
Yes, it works with text generated by GPT-4, Claude, Gemini, and other major models by targeting universal statistical patterns common to all large language models.
Who is the target audience for this skill?
It is designed for developers, technical writers, and content creators who use AI to draft content but need it to meet high-quality, human-centric editorial standards.
How does this differ from standard AI rewriters?
Unlike generic rewriters, this uses specific Wikipedia-backed detection protocols to target 'AI-isms' like 'delve', 'tapestry', and 'pivotal' while focusing on sentence rhythm.
Does it support languages other than English?
While optimized for English patterns and specific vocabulary, the core principles of rhythm variation and directness apply to most Western languages.
What results can I expect?
Expect text that passes AI detectors more easily and, more importantly, reads more naturally to human audiences by removing the 'uncanny valley' of AI prose.