git:20260224.d58aa51 to git:20260228.21fb8b4

- description:

- Rewrite AI-generated text to sound natural and human-written.

- Removes LLM tells — cliché phrases, predictable structure,

- inflated language, and robotic patterns.

- metadata:

- {

- "cowork":

- {

- "emoji": "✍️",

- "category": "Creative",

- },

- }

- # Humanizer ✍️

-

- Rewrite AI-generated text so it reads like a real human wrote it. Eliminates every detectable sign of LLM output while preserving meaning, facts, and intent.

-

- ## Overview

-

- AI-generated text has recognizable patterns that experienced readers (and detection tools) spot instantly. This skill systematically removes those patterns across 7 layers — from individual word choices up to document-level structure.

-

- Unlike simple synonym swappers, this skill addresses the full stack of AI tells: vocabulary, sentence mechanics, paragraph structure, emotional register, content depth, and document architecture.

-

- ## Parameters

-

- | Parameter | Type | Required | Default | Description |

- |-----------|------|----------|---------|-------------|

- | `text` | string | No | — | The text to humanize (or paste it directly in the message) |

- | `tone` | select | No | `professional` | Target tone: `casual`, `professional`, `academic`, `journalistic`, `technical`, `warm` |

-

- ## Usage

-

- Invoke the skill and provide the text to rewrite:

-

- ```

- /humanizer

- ```

-

- Then paste the text, or provide it with parameters:

-

- - "Humanize this email draft"

- - "Make this blog post sound less like AI"

- - "Rewrite this in a casual tone"

-

- ## The 7 Layers of AI Tells

-

- The skill targets every layer where AI writing diverges from human writing:

-

- ### Layer 1: Dead Giveaway Words

-

- Words and phrases that LLMs use at far higher frequency than humans:

-

- **Verbs:** delve, explore, navigate, leverage, utilize, foster, bolster, spearhead, underscore, streamline, facilitate, encompass, embark, unravel, illuminate, exemplify, revolutionize, catapult, skyrocket, supercharge

-

- **Adjectives:** seamless(ly), robust, comprehensive, cutting-edge, groundbreaking, innovative, transformative, pivotal, paramount, intricate, nuanced, multifaceted, holistic, dynamic, vibrant, meticulously, strategically, notably

-

- **Nouns:** landscape, realm, tapestry, beacon, cornerstone, linchpin, catalyst, paradigm, synergy, ecosystem, framework, trajectory, underpinning, bedrock, nexus, interplay, confluence

-

- **Filler transitions:** Moreover, Furthermore, Additionally, It is worth noting that, Interestingly, Notably, Significantly, Indeed, In today's [X] landscape, In the realm of, When it comes to, All in all, In conclusion

-

- **Hollow intensifiers:** a testament to, a beacon of hope, the power of, the beauty of, serves as a reminder, plays a crucial role, at the heart of, the very fabric of, the ever-evolving, sheds light on, paves the way for

-

- ### Layer 2: Structural Predictability

-

- | AI Pattern | What Humans Do Instead |

- |------------|----------------------|

- | Identical paragraph template (topic → support → wrap) | Vary: some paragraphs are one sentence, some bury the point |

- | Rule of Three ("innovation, collaboration, and excellence") | List two things, or four, or none |

- | Mirrored section lengths | Uneven — a long deep-dive then a terse one-liner |

- | Formulaic opening ("In today's rapidly evolving...") | Start with the point |

- | Conclusion that restates everything | Add a new thought, or just end |

- | Heading → Paragraph → Heading → Paragraph grid | Insert asides, questions, single emphatic sentences |

-

- ### Layer 3: Emotional Flatness

-

- - **Compulsive both-sidesing**: "While X has challenges, it also presents opportunities." — Pick a side.

- - **Hedge stacking**: "It could potentially be somewhat beneficial." — Say "it helps."

- - **False enthusiasm**: "Exciting developments" / "truly inspiring" — Use sparingly and genuinely.

- - **Emotional uniformity**: Every paragraph at the same temperature. Real writing has frustration, humor, bluntness.

-

- ### Layer 4: Sentence Mechanics

-

- - **Excessive em dashes** — AI uses 3-5x more than humans

- - **Colon-list combo** — "Three key factors: X, Y, and Z." Weave into prose instead.

- - **Gerund openers** — "Leveraging AI, organizations can..." Start with subject-verb.

- - **Passive voice overuse** — Say who did what

- - **Identical sentence starts** — 3+ sentences starting with "This" / "The" / "It"

- - **Uniform sentence length** — Mix short punchy with longer complex ones

-

- ### Layer 5: Content Tells

-

- - **Saying nothing while sounding smart** — Confident sentences with zero information

- - **Restating the question as an introduction** — Skip the throat-clearing

- - **Superficial analysis** — Naming things without analyzing them

- - **Fake specificity** — "various", "numerous", "a wide range of" instead of actual specifics

- - **Promotional tone** — "game-changing", "next-level", "best-in-class"

-

- ### Layer 6: Document Structure

-

- - **Five-paragraph essay** default

- - **Every paragraph 3-5 sentences** — Real range: 1 to 10+

- - **Perfect topic-sentence discipline** — Not every paragraph needs to announce its subject first

- - **No tangents or asides** — Humans go on brief tangents and circle back

- - **Bullet-point addiction** — Lists only when content genuinely calls for it

-

- ### Layer 7: Vocabulary & Register

-

- - **Thesaurus syndrome** — Fancy synonyms to avoid repeating words. Humans just say "said" again.

- - **Register mismatch** — Formal academic diction in casual contexts

- - **No contractions** — Real writing uses "don't", "it's", "they're"

- - **Overly precise hedging** — "approximately" → "about", "a significant number" → "a lot"

- ## Tone Options

- | Tone | Characteristics |

- |------|----------------|

- | **casual** | Contractions, short sentences, conversational asides, informal vocab |

- | **professional** | Clean and direct, no jargon for jargon's sake, confident but not stiff |

- | **academic** | Precise language, longer sentences OK, hedging where scientifically appropriate |

- | **journalistic** | Lead with the news, inverted pyramid, active voice, tight prose |

- | **technical** | Exact terminology, no fluff, imperative mood for instructions |

- | **warm** | First person, anecdotes welcome, emotional honesty, contractions |

- ## Rewriting Process

- 1. Read the full text — understand the core message

- 2. Strip AI scaffolding — filler transitions, hollow intensifiers, throat-clearing

- 3. Vary structure — break predictable templates, mix sentence/paragraph lengths

- 4. Replace flagged words — swap with plain, natural alternatives

- 5. Add human texture — asides, questions, opinions where appropriate

- 6. Cut the fat — AI text is typically 20-40% longer than needed

- 7. Read aloud — if it sounds like a press release, rewrite it

- ## What Gets Preserved

- - All factual claims and data points

- - Technical terminology that's correct and necessary

- - The author's intended meaning and argument

- - Proper nouns, quotes, and citations

- - Genuinely good phrasing

- ## What the Skill Avoids

- - Making text worse by forcing casual tone where formality fits

- - Adding fake personal anecdotes

- - Changing meaning or introducing inaccuracies

- - Adding humor where inappropriate (legal, medical, etc.)

- - Swapping AI clichés for different clichés

- ## Example

- **Before (AI-generated):**

- > In today's rapidly evolving digital landscape, leveraging innovative AI technologies has become paramount for organizations seeking to navigate the complexities of modern business. Moreover, these groundbreaking tools serve as a catalyst for transformative change, fostering seamless collaboration and driving robust growth across the ecosystem.

- **After (humanized):**

- > Companies that adopt AI tools tend to work faster and collaborate better. The ones getting real results aren't chasing trends — they're solving specific problems with the right tool for the job.

- ## Comparison with ClawHub Version

- | Feature | ClawHub (biostartechnology) | CoWork OS |

- |---------|---------------------------|-----------|

- | AI patterns covered | 9 categories | 7 layers with 50+ specific patterns |

- | Flagged word lists | Not included | 60+ verbs, adjectives, nouns, transitions, intensifiers |

- | Structural analysis | Not detailed | Paragraph templates, section balance, document architecture |

- | Sentence mechanics | Em dashes only | Em dashes, gerunds, passive voice, sentence starts, length variation |

- | Content-level tells | Superficial analysis only | Empty claims, throat-clearing, fake specificity, promotional tone |

- | Tone adaptation | Not available | 6 tone presets with characteristics |

- | Rewriting process | Not documented | 7-step systematic process |

- | Parameters | None | `text` (string) + `tone` (select with 6 options) |