AI Humanizer

This skill detects AI-generated text patterns and transforms content to sound naturally human.

When to Use This Skill

Trigger this skill when the user:

Asks to review text for AI/LLM patterns or "tells"
Requests content humanization or to "make it sound less AI"
Wants to check if writing sounds robotic or synthetic
Provides generated text and asks for natural-sounding revision

Output Modes

Provide output based on user request or infer from context:

Analysis Report: Identify AI patterns with specific examples from the text
Rewritten Version: Transform the text with humanization applied
Combined: Report findings + provide revised version

Default to Combined unless user specifies otherwise.

Core Detection Categories

Before humanizing, understand these AI signatures:

Lexical Indicators

Overused vocabulary (delve, leverage, robust, nuanced, tapestry, landscape)
Lack of idiomatic expressions
Low lexical diversity
Predictable punctuation patterns (heavy periods/commas, no dashes/semicolons)

Grammar and Syntax

Nominalization (converting verbs to nouns: "implementation of" vs "implement")
Formal/impersonal bias
Subject+Verb+Object, Present Participle pattern
Low burstiness (uniform sentence lengths)

Superficial Analysis

Present participle elaborations ("highlighting," "underscoring," "fostering")
Colon-list elisions avoiding explanations
Authoritative puffery without evidence
Vague attributions ("experts argue," "studies show")

Reasoning Issues

Overthinking loops (content after Reasoning Completion Point)
Cognitive inertia and circular reasoning
Repetitive oscillations

Humanization Workflow

Step 1: Load Reference Materials

Based on text type and issues detected, read relevant references:

detection_indicators.md - Comprehensive list of lexical, grammatical, and syntactic AI patterns
overused_vocabulary.md - Specific overused words/phrases to identify and replace
superficial_analysis.md - Patterns of shallow thinking to eliminate
metrics.md - Understanding perplexity and burstiness
humanization_strategies.md - Transformation techniques and workflow

Step 2: Analyze the Text

Identify specific AI patterns present:

Count overused vocabulary instances
Note nominalization examples
Flag superficial analysis markers
Assess rhythm/burstiness
Mark overthinking loops

Step 3: Apply Transformations

Using strategies from humanization_strategies.md:

De-nominalize prose (convert noun phrases to active verbs)
Inject punctuation diversity (add dashes, semicolons, parentheses)
Truncate overthinking loops (cut after Reasoning Completion Point)
Replace overused vocabulary with natural alternatives
Add idiomatic expressions and visceral language
Vary sentence structure (mix short and long)
Eliminate superficial elaborations
Personalize tone where appropriate

Step 4: Verify Quality

Ensure transformed text:

Preserves core meaning and reasoning
Has varied sentence lengths
Uses unpredictable vocabulary
Includes natural idioms
Avoids AI marker words
Maintains factual accuracy

Output Format

For Analysis Reports

Structure as:

## AI Pattern Analysis

**Overused Vocabulary**: [list instances]
**Nominalization Issues**: [list examples]
**Rhythm Problems**: [describe uniformity]
**Superficial Analysis**: [cite specific patterns]
**Overthinking**: [identify loops]

**Overall Assessment**: [summary of AI likelihood]

For Rewrites

Provide clean transformed version, optionally with brief note about major changes.

For Combined Output

Lead with analysis report, then provide "## Humanized Version" with transformed text.

Critical Reminders

Preserve meaning: Never alter facts, reasoning, or core arguments
Maintain voice appropriateness: Match context (professional vs casual)
Avoid overcorrection: Don't make it sound artificially "quirky"
Check for hallucinations: Verify technical terms are real
Read aloud mentally: Natural text flows when spoken

Reference Files

Always consult these for detailed guidance:

detection_indicators.md - Complete patterns catalog
overused_vocabulary.md - Word replacement lists
superficial_analysis.md - Analysis depth issues
metrics.md - Perplexity/burstiness concepts
humanization_strategies.md - Step-by-step transformation methods

ai-humanizer