AI Writing Humanizer
Paste the following prompt into your AI chat to install this skill:
Please install @user_073db83c/mayday5525 according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
A lot of LLM-assisted text is not wrong because of bad facts, but because it sounds assembled. The problem is tonal: inflated significance, abstract filler, excessive dashes, bolding, rule-of-three phrasing, emojis, and template-like headings can make technically correct writing feel mechanical.
How It Works
Humanizer treats revision as an editing pass rather than a rewrite from scratch. It scans for AI writing markers, replaces formulaic phrases, and restores a more natural voice while keeping the intended meaning.
It focuses on three layers:
- Content patterns: trimming “pivotal moment,” “broader trend,” and “Challenges and Future Outlook” style framing.
- Language patterns: reducing high-frequency AI words like
Additionally,delve,landscape, andunderscore, and replacing elaborate constructions with simpler wording. - Style patterns: limiting em dashes, over-bolding, title-case headings, emojis, and “Label: explanation” lists.
It also aims to add judgment, rhythm, and first-person perspective when appropriate, not merely remove conspicuous phrases.
Boundaries
This is best used as a cleanup and tone-editing skill for existing drafts. It should not be relied on to invent facts, citations, numbers, or claims. If the source depends on evidence, preserve the substance. For brand voice or marketing copy, human review is still needed to avoid flattening intentional emphasis.
Use Cases
- Before publishing a technical post, remove repeated AI words like “additionally,” “key,” and overused em dashes.
- While writing product docs, convert bold-label list items into natural prose instead of template bullets.
- Before submitting a case study, reduce title-case headings, rule-of-three phrasing, and excessive bolding.
- When editing an encyclopedia entry, cut inflated claims about significance and broader trends, keeping verifiable facts.
Best For
- Content editors who must turn technical drafts into publishable posts by removing AI-sounding phrasing.
- Product managers writing feature docs who want less bold-label listing and fewer hollow value claims.
- Research assistants maintaining encyclopedia entries who need to cut inflated significance while keeping sources.
- Copy leads polishing English marketing assets who need to fix title-case headings, triads, and em dashes.
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