'humanizer' 검색 결과

Переписывает русский текст со следами нейросети так, чтобы он читался как написанный живым человеком: убирает канцелярит, штампы ChatGPT, пустые подводки, «не просто X, а Y», тройки, лишние тире и жирный, мусор вставки из чата (contentReference, utm_source, невидимые символы). Числа, имена, даты, условия и отрицания сохраняет и сверяет. Используй, когда просят «очеловечь», «перепиши по-человечески», «убери гпт-шность», «сделай живым», «убери канцелярит / воду / штампы», «звучит как нейросеть», «отредактируй», «причеши текст», а также для разбора без правки: «что выдаёт ИИ», «проверь текст». Только для русского языка.

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Write a TikTok caption under 2,200 chars (hashtags included), pick a tasteful 3 to 5 hashtag set with mixed reach, and set the platformSettings.tiktok flags (viewer setting, comments, duet, stitch, commercial and branded content). Front-loads a reason to comment, runs the humanizer pass, and publishes the rendered video via Publora on approval. Use to caption a finished video. Not for the in-video hook (use tt-hook-scripter) or scrubbing a script (use tt-humanizer).

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Draft a short punchy Facebook Page post, or a longer story post, using a 2026 Facebook hook formula (one-line opinion, tiny number, ask-the-page question, this-or-that, useful tip, story post) picked by goal (shares, comments, reactions). Favors the under-80-character engagement sweet spot, runs the humanizer pass, and publishes via Publora on approval. Use to write a Page post from notes. Not for replying to comments (use fb-engagement-drafter) or auditing a draft (use fb-humanizer).

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Draft a single Threads post or a multi-post thread using a 2026 Threads hook formula (warm contrarian, data-point, build-in-public, quote-post, mini-list, relatable, listicle, story, curiosity-gap, how-I teardown), picked by goal (replies, reposts, likes, quotes). Respects the 500-char limit and one-hashtag cap, runs the humanizer pass, and publishes via Publora, which auto-splits long content into a thread. Not for auditing a draft (use threads-humanizer) or hook teardown (use threads-hook-extractor).

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Repurpose existing content into a native Threads post or thread. Take a LinkedIn post, X thread, blog, YouTube script, or newsletter and rewrite it for Threads: warm the tone, de-corporate it, refit to a short post or light thread, rebuild the hook to clear the soft fold, strip off-platform artifacts, run the humanizer, publish via Publora on approval. Not for writing from scratch (use threads-post-writer), auditing a draft (use threads-humanizer), or a hook teardown (use threads-hook-extractor).

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Rewrite text so it reads like a real person wrote it, not an AI. Auto-detects Russian vs English and applies the matching rule set. Use when the user asks to humanize text, remove the "AI smell", de-AI, or make AI output sound natural - especially for Russian. Russian requests count too - очеловечь, перепиши как человек, оживи текст, убери запах ИИ, сделай живее, звучит как робот, убери канцелярит. Also use when asked whether a text was written by AI - нейросеть писала?, похоже на ChatGPT?, видно ли, что это ИИ, человек или бот писал, did AI write this? - then check and report findings without rewriting. While installed, also keep your own Russian and English writing free of the quick-list stock phrases, silently; never edit the user's text unless asked.

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Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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Standard operating procedure for producing a documentation page end to end — gather source material, classify, draft against the measured corpus profile, then run the reader-level and humanizer passes and both gates. Use for any page on a documentation surface, or when rewriting a page that reads as machine-written. Orchestrates technical-writing, reader-level and humanizer in a fixed order.

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Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer

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Removing signs of AI-generated patterns from text. Trigger when: - Refining documentation, comments, or summaries to sound natural and clear. - Prompt contains: /humanizer, humanize, text cleanup, edit style.

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Remove AI-generated writing patterns from Modern Hebrew (עברית מודרנית) text. Use when editing or reviewing Hebrew text to make it sound naturally human-written.

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Remove AI-generated writing patterns from Modern Standard Arabic (MSA/الفصحى) text. Use when editing or reviewing Arabic formal text to make it sound naturally human-written.

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Remove AI-generated writing patterns from Levantine Arabic (الشامي — Syrian, Lebanese, Palestinian) text. Use when editing or reviewing Levantine dialect text to make it sound authentically human-written.

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Remove AI-generated writing patterns from Egyptian Arabic (عامية مصرية / Masri) text. Use when editing or reviewing Egyptian dialect text to make it sound authentically human-written.

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AIで作った日本語の下書きを、書き手自身の文体に近い自然な文章へ整える。 日本語特有の3つの構造的要因（敬語による行為主体の消失・主語省略による書き手の消失・ です/ます均質化）を踏まえ、40パターンを3階層で修正する。 現代日本語Web発信における自然な文体パターンの観察を反映。

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Plan social campaigns across multiple platforms, with tailored post drafts, asset requirements, and approval status. Verify publishing through available connectors, or prepare approved content and timing for handoff to a scheduling tool.

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• Planning next month's social media posts
• Turning a launch into posts for multiple platforms
• Repurposing articles and videos for social media

Edit blogs, emails, and other drafts to remove formulaic AI phrasing, inflated claims, and distracting formatting. Preserve the meaning and intended tone while varying sentence rhythm and matching a supplied sample of the writer's style.

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• Polish a blog draft before publication
• Make emails and memos sound more natural
• Rewrite text to match a personal writing sample

Simulate readers encountering a draft for the first time to see whether they open it, where their attention fades, and what they remember. Receive reader comments alongside the text without rewrites or suggested fixes.

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• Check whether a post earns a full read
• Find where readers lose interest
• Compare reader reactions after revisions

Turn notes or documents into a talk outline, page-by-page media choices, and a production brief for a separate slide-making skill. After rendering, check each slide against its planned purpose and generate revision instructions for up to three rounds.

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• Turn notes or transcripts into a presentation outline
• Plan images, diagrams, and videos for each slide
• Prepare a production brief for HTML slides or PPTX

Edit Finnish text to remove formulaic phrasing associated with AI writing, including excessive passive voice, translated sentence structures, and inflated claims. Preserve factual content and formality while improving rhythm and bringing out the writer’s voice.

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• Making AI-drafted Finnish text sound more natural
• Revising awkward Finnish phrasing influenced by English
• Reducing formulaic phrasing while preserving formality

Find and evaluate a small, compatible set of AI Agent Skills for a multi-step goal. Check existing capabilities, compare candidates for fit and safety, identify overlaps, and prepare recommendations with installation subject to user approval.

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• Choose a set of Skills for a multi-step project
• Audit installed Skills for overlap and conflicts
• Find supporting Skills for writing quality or compliance

Revise AI-generated drafts by identifying stock phrases, vague claims, and repetitive rhythms. Use audience details and brand writing examples to produce a more natural voice, with annotated feedback and before-and-after comparisons.

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• Auditing drafts for formulaic AI writing
• Revising sentence rhythm and paragraph structure
• Applying a brand's established writing voice

This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.

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Tone enforcement patterns for external-facing community responses

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