webshop/.agents/skills/humanizer/skill.md

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humanizer

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."

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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

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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
Superficial -ing analysis	"highlighting...", "ensuring...", "fostering..."	Delete or rewrite as separate sentence
Vague attribution	"experts argue", "some critics say", "industry reports"	Cite specific sources or remove
Formulaic conclusions	"Despite challenges...", "Future prospects..."	End with concrete facts

Language Indicators

Pattern	Examples	Fix
AI vocabulary	delve, leverage, tapestry, landscape, foster, underscore	Use simple alternatives (dig into → look at)
Copula avoidance	"serves as", "stands as", "marks"	Use simple "is" or "are"
Negative parallelism	"not only... but also", "it's not just about... it's"	Make direct statement
Rule of three	Three adjectives, three examples, three bullet points	Use two or four items
Elegant variation	Synonyms to avoid repetition ("protagonist", "hero", "main character")	Repeat naturally or consolidate

Formatting Indicators

Pattern	Detection	Fix
Curly quotes	"text" instead of "text"	Replace with straight quotes
Excessive bold	Every keyword bolded	Remove unnecessary emphasis
Title case headers	"Global Context: Critical Demand"	Use sentence case
Markdown artifacts	## Header, **bold** in non-markdown	Convert to proper format
Emoji in headers	🚀 Launch Phase:	Remove decorative emoji

Technical Indicators

Pattern	Detection
UTM parameters	utm_source=openai or utm_source=chatgpt.com in links
Code fragments	:contentReference[oaicite:0] or turn0search0
Hallucinated citations	Invalid DOIs, ISBN checksum errors, 404 URLs
Knowledge cutoffs	"as of my last training update", "while specific details are limited"

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Humanizing Techniques

Technique 1: Blacklist Protocol

Explicitly forbid these words:

Verbs: delve, unleash, embark, navigate, foster, leverage, elevate, empower, harness, facilitate, streamline, synergize

Nouns: landscape, realm, tapestry, testament, symphony, paradigm, game-changer, ecosystem, nexus, cutting-edge

Adjectives: bustling, vibrant, intricate, seamless, pivotal, robust, dynamic, comprehensive, multifaceted, transformative

Connectors: Moreover, Furthermore, In conclusion, It is important to note, Additionally, Consequently

Replacements:

• "delve into" → "look at" / "explore"
• "leverage" → "use"
• "facilitate" → "help" / "make easier"
• "In conclusion" → [just stop] or punchy final sentence
• "Moreover" → [start new sentence directly]

Technique 2: Style Cloning

Step 1: Extract style DNA

Analyze the writing style. Break down into:
1. Sentence length variance (Burstiness)
2. Tone (cynical? warm? professional?)
3. Vocabulary level
4. Rhetorical devices
5. Punctuation patterns

Step 2: Apply style

Using this Style Guide, write about [TOPIC].
Mimic the same sentence variance, tone, vocabulary, and punctuation.
Do NOT revert to default style.

Technique 3: Burstiness Injection

AI text has uniform sentence lengths. Human writing alternates.

Rules:

• Mix short sentences (under 5 words) with longer complex ones
• Use fragments occasionally. For effect.
• Vary paragraph length (1-3 sentences)
• Don't start with "Additionally" or "However"

Good: "The project failed. We ran out of money. The team, exhausted after three months of crunch, couldn't push forward."

Bad (AI): "Additionally, the project failed due to financial constraints. Furthermore, the team experienced exhaustion after working for an extended period."

Technique 4: Opinionated Stance

Force a perspective. Ban fence-sitting.

Forbidden phrases:

• "There are pros and cons"
• "It depends on..."
• "On the other hand..."
• "Some might argue..."

Use instead:

• "This proves..." (not "This might suggest...")
• "This is..." (not "This could be...")
• First-person ("I", "My") for subjectivity

Technique 5: Bar Talk Test

Would you say this sentence at a bar with friends?

Characteristics:

• Simple, spoken language
• Okay to be grammatically loose
• Use analogies from daily life
• Skip boring concepts
• Direct address ("you", "your")
• Occasional self-correction

Example: "So basically, LLMs aren't actually thinking, right? They're just predicting what word comes next. Like if I say 'peanut butter', you know 'jelly' is coming. That's it. That's the whole trick."

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Workflow

1. Read - Scan input text for AI patterns
2. Identify - Mark all problematic patterns
3. Strategize - Choose technique(s):
   • Simple cleanup → Blacklist Protocol
   • Match specific author → Style Cloning
   • Add natural flow → Burstiness Injection
   • Need strong voice → Opinionated Stance
   • Conversational tone → Bar Talk Test
4. Rewrite - Apply chosen techniques
5. Verify - Read aloud, check for remaining patterns
6. Score - Run quality assessment

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Quality Scoring

Rate the rewritten text on 5 dimensions (10 points each, total 50):

Dimension	Criteria	Score
Directness	States facts vs. announces them?	/10
Rhythm	Sentence length varies?	/10
Trust	Respects reader intelligence?	/10
Authenticity	Sounds like a real person?	/10
Conciseness	Nothing left to cut?	/10
Total		/50

Standards:

• 45-50: Excellent, AI traces removed
• 35-44: Good, room for improvement
• Below 35: Needs revision

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Adding Soul

Avoiding AI patterns is half the work. Sterile, voiceless writing is just as obvious.

Signs of soulless writing (even if "clean"):

• Every sentence same length and structure
• No opinions, only neutral reporting
• No acknowledgment of uncertainty or complex feelings
• No first-person when appropriate
• No humor, no edge, no personality

How to add voice:

• Have opinions - React to facts, don't just report them
• Vary rhythm - Short punchy sentences. Then long ones that take time to unfold.
• Acknowledge complexity - "This is impressive but also unsettling" beats "This is impressive"
• Use "I" appropriately - First-person isn't unprofessional, it's honest
• Allow some mess - Perfect structure feels algorithmic. Tangents are human.
• Be specific about feelings - Not "this is concerning" but "the agents running at 3am while nobody watches—that's unsettling"

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Output Format

1. Rewritten text - The humanized version
2. Changes summary (optional) - Brief list of what was fixed

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References

Referenzdateien können bei Bedarf unter references/ ergänzt werden:

• references/ai-patterns-zh.md - AI writing patterns with examples
• references/humanizing-techniques.md - Techniques with templates
• references/wikipedia-indicators.md - Technical detection signals