humanizer-enlisted

Use when: the user asks you to check, rewrite, humanize, or de-slop English text that shows signs of AI generation (ChatGPT, Claude, Gemini, Grok, DeepSeek, GPT-5, Qwen, Llama, any LLM). Trigger for requests like: 'humanize this', 'make it sound human / natural', 'remove the AI voice', 'this reads like a chatbot', 'AI detector for English', 'check for AI', 'de-slop', 'reduce AI-isms', remove clichés / filler / corporate jargon / emoji bullet lists 🚀 / gratuitous em-dashes / sycophantic tone / fabricated sources. Also when visible copy-paste chatbot markers are present: `:contentReference`, `?utm_source=chatgpt.com`, `oai_citation`, `grok_card://`, `vertexaisearch`, `turn0search`, `[cite_start]`, `[cite: 8]`. Do NOT use: text that is not in English, source code / scripts (even about NLP), legal documents (officialese is the genre), literary prose / poetry / résumés (there the em-dash, rhythm and compression are an authorial device).
khasky/awesome-agent-skills · ★ 8 · AI & Automation · score 78

Install: claude install-skill khasky/awesome-agent-skills

# Humanizer-en A skill for editing English text that carries traces of AI generation. The goal is to make the text read naturally without distorting its meaning. It draws on the Wikipedia AI Cleanup project and its "Signs of AI writing" guidance. ## When to use - English text reads as mechanical, flat, or templated. - You need to check text generated by another model. - The user asks to "humanize", "rewrite", or "remove the AI traces". - Text is being prepared for publication (article, post, email, document). - The text contains unambiguous copy-paste chatbot markers: `:contentReference[oaicite:N]`, `?utm_source=chatgpt.com`, `grok_card://`, and similar. ## When not to use - Text that is not in English. Decline and ask for English. - Source code, configuration files, technical logs. This skill is for connected prose only. - Legal documents, statutes, contracts — there officialese is mandatory by genre. - Literary prose, poetry, literary essays — there the em-dash, the rule of three, and complex syntax may be an authorial device, not a machine tell. See `references/false-positives.md`. ## Decision tree ``` Received text ↓ Is it English? — no → decline ↓ yes Genre? — code / config → decline — contract / statute → apply only #16-21 (style/markup); do NOT touch #8 officialese — fiction / poetry → do NOT apply #13 rule of three, #16 em-dash; see false-positives.md — academic / scientific → do NOT count passive voice, hedges, logical connectives; see