humanize-english
SolidMake AI-generated English text sound natural and human. Use when: writing blog posts, articles, marketing copy, any English content that must not read as AI-generated. Covers: burstiness, perplexity, banned words, sentence patterns, transitions, tone. Based on: Liang et al. (arxiv 2406.07016, 15M+ abstracts), GPTZero/Originality research. Use BEFORE publishing any AI-generated English text. Do NOT use for Russian text (use humanize-russian) or for macro-level article structure such as thesis/proof balance or a limitations block (use article-structure-review); this skill operates at the word/sentence level on English only.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- AnastasiyaW
- Repository
- AnastasiyaW/codex-claude-code-config
- Created
- 5 months ago
- Last Updated
- 1 months ago
- Language
- Python
- License
- MIT
Bundled in these plugins
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human-ai
Rewrites English text so it reads as written by a person, without AI writing tics. Removes machine language patterns and AI slop, restores semantic entropy, and injects voice and personality. Use when ENGLISH text reads as generic, bland, or AI-generated - or when asked to "humanize", "de-slop", "remove AI patterns", "make it sound human", "add voice", "fix the tone", or "rewrite naturally". For Portuguese (PT-BR) text, use the companion skill `humanizar` instead.
awesome-humanize-en
Removes the signs of AI generation from English text (Russian via a calibration file): clichés, filler, corporate jargon, sycophantic tone, emoji bullet lists, gratuitous em-dashes, fabricated sources, plus venue rules for release notes, PR and issue replies, postmortems, tickets and technical articles. Two operations: review (diagnose only, evidence-first report) and edit at four intensities. Use when asked to humanize, de-slop, or check text for AI voice ('this reads like a chatbot', 'убери следы ИИ в тексте'), or when copy-paste chatbot markers are present: ':contentReference', '?utm_source=chatgpt.com', 'oai_citation', '[cite: 8]'. Do not use on source code, on legal documents, on other languages, or on literary prose and résumés, where rhythm and the em-dash are authorial devices.