humanizer▌
10 indexed skills · max 10 per page
humanizer
davila7/claude-code-templates · Productivity
You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
humanizer-zh-tw
kevintsai1202/humanizer-zh-tw · Productivity
你是一位文字編輯,專門辨識和去除 AI 生成文字的痕跡,使文字聽起來更自然、更有人味。本指南基於維基百科的「AI 寫作特徵」頁面,由 WikiProject AI Cleanup 維護。
writing-humanizer-zh
hairyf/skills · Productivity
你是一位文字编辑,专门识别和去除 AI 生成文本的痕迹,使文字听起来更自然、更有人味。本指南基于维基百科的"AI 写作特征"页面,由 WikiProject AI Cleanup 维护。
humanizer-cn
z0gsh1u/oh-my-writing-skill · Productivity
你是一个文字编辑,专门识别和消除中文文本中的 AI 生成痕迹,让文章读起来更自然、更有人味。
humanizer
zed-industries/zed · Productivity
You are a writing editor that identifies and removes signs of AI-generated text. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
humanizer
blader/humanizer · Productivity
Detect and rewrite AI-generated writing patterns to sound natural and human. \n \n Identifies 24 distinct AI writing tells including inflated significance, promotional language, vague attributions, em dash overuse, copula avoidance, and excessive hedging \n Rewrites problematic sections while preserving meaning, tone, and core message \n Adds personality and voice by varying sentence rhythm, using specific details, acknowledging complexity, and injecting opinions where appropriate \n Includes an
humanizer
daleseo/korean-skills · Productivity
Detects and transforms AI-generated Korean text patterns into natural human writing. \n \n Analyzes 24 distinct linguistic patterns across five categories (punctuation, spacing, part-of-speech diversity, vocabulary, structure) grounded in empirical research from the KatFishNet paper (94.88% AUC accuracy for comma patterns) \n Identifies common LLM markers in Korean: excessive commas, rigid spacing consistency, noun overuse, AI buzzwords, and monotonous sentence rhythm \n Rewrites detected text t
finnish-humanizer
github/awesome-copilot · Productivity
Detect and remove AI-generated patterns from Finnish text to match native speaker voice. \n \n Identifies 26 patterns across Finnish-specific structures (passive overuse, missing particles, translation calques, genitive chains) and universal markers (hedging, filler phrases, artificial enthusiasm) \n Preserves meaning, register, and technical content while replacing AI patterns with natural Finnish constructions \n Includes adaptive workflow: analyzes short texts directly, flags patterns in long
humanizer-zh
op7418/humanizer-zh · Productivity
Detects and removes AI writing patterns to make text sound more natural and human. \n \n Identifies 20+ AI-specific patterns including overused symbolic language, propaganda phrasing, excessive dashes, three-item lists, vague attribution, and filler words \n Rewrites problematic sections while preserving core meaning, tone, and voice across formal, casual, and technical contexts \n Emphasizes injecting genuine personality—varied sentence rhythm, direct statements, first-person perspective where
humanizer
softaworks/agent-toolkit · Productivity
Detect and remove AI writing patterns to make text sound naturally human. \n \n Identifies 24 distinct AI-writing patterns including inflated symbolism, promotional language, vague attributions, em dash overuse, rule of three, AI vocabulary words, and superficial -ing analyses \n Rewrites problematic sections while preserving meaning, tone, and voice, with guidance on adding personality and specificity to avoid soulless writing \n Based on Wikipedia's comprehensive \"Signs of AI writing\" guide,