206 skills · sorted by relevance
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능. humanize-korean strict 윤문(Phase B)을 기존 run_id에 재실행해 잔존 finding을 처리한다. 트리거 — "/humanize-redo".
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AI가 쓴 한글 텍스트를 자연스럽게 윤문하는 진입 명령. humanize-korean 파이프라인을 Fast 모드(기본)로 실행하고 `--strict`면 정밀 3콜(진단→겨냥 윤문→finalize). 트리거 — "/humanize".
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Humanizer 中文学术版——当用户要求润色论文、去除AI味、降低AIGC检测率，或说"帮我改改这段""这段读起来像AI写的"时触发。
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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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Detect and rewrite AI writing patterns to make content sound authentically human. Supports voice calibration from the author's own writing samples. Use when asked to humanize text, remove AI patterns, calibrate voice, audit content for AI detectability, or check if writing sounds like ChatGPT. Triggers: /humanize, /voice-calibrate, /audit-ai
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LLM生成文に特有の表現パターンを検出・修正する。任意のテキストファイルに対して使える。「LLMっぽい」「人間らしく」「humanize」で起動。
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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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AI（LLM）が生成した日本語テキストの「AI臭」を検出・診断し、人間らしい文章にリライトするスキル。 Use when: 「AIっぽい文章を直して」「人間らしくリライトして」「AI臭を消して」「この文章をもっと自然にして」 「テキストのAI感を減らして」「機械っぽさを取りたい」 "make this sound more human", "remove AI tone", "humanize this text", "detect if this is AI-generated". 6つのAI特有パターン（視覚的マーカー、単調なリズム、マニュアル的構成、非コミット姿勢、抽象語の濫用、 定型メタファー）を正規表現ベースで検出し、0-100のAI臭スコアを算出。3つの人間化技法 （バランスを崩す・客観を崩す・論理を崩す）でリライトを実行する。 Note: 検出スクリプトは日本語テキスト専用。英語テキストの場合はClaude自身がreferences/を参照して分析・リライトする。
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Use when the user wants to humanize text, make writing sound less like AI, or rewrite content to feel more natural. Triggers on "humanize", "make it sound natural", "too robotic", "sounds like AI", or similar. Works in Hebrew and English. Always output only the rewritten text — no explanations.
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Humanize text: strip AI-isms and add real voice.
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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.
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.
Edit prose that sounds AI-generated while preserving its meaning and the writer’s voice. Review repetitive structures, inflated claims, stock phrases, and unnecessary formatting, then rewrite naturally without inventing facts or losing supported information.
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.
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.
Edit existing Chinese articles, comments, and documents to remove empty phrasing, repetition, and formulaic language. The revised text preserves facts, uncertainty, and the author's voice while making the wording clearer and more natural.
Polish AI-written Korean by identifying unnatural phrasing and repetitive sentence patterns while preserving facts and tone. The skill selects a review depth, checks how much changed, and returns revised text with comparisons and remaining warnings.
Polish Korean commit messages drafted by AI into natural developer language. The skill removes stiff wording and literal translations while preserving the stated changes, commit type, scope, issue numbers, and code identifiers.
Revise AI-written Korean to improve phrasing, sentence rhythm, and structure while preserving meaning, key terms, and tone. The skill chooses an editing depth, checks the changes, and provides revised text with review results.
Revise text to remove formulaic AI phrasing while keeping the writer’s voice, facts, intent, and structure. It targets justified changes, preserves protected passages, and reports editing limits and any unresolved issues.
Turn existing tweets, videos, blogs, or newsletters into LinkedIn posts while preserving their claims and facts. Rebuild the opening, paragraph structure, and closing prompt, review artificial phrasing, and publish through Publora after approval.
Turn an interview about work experiences, numbers, turning points, and opinions into a reusable bank of LinkedIn post material. A focused mode develops one topic into a structured outline for a separate writing skill.
Draft sections of a specific paper on sewage spills, house prices, and rents in England. Use existing analysis outputs and references to produce LaTeX drafts with consistent notation, checked citations, and placeholders for unavailable results.
Review academic drafts for 24 common AI writing patterns and revise awkward wording or repetitive structures. Preserve meaning, economics terminology, citations, and LaTeX commands, with a report showing the changes and their locations.