「humanize」の検索結果

Humanize text: strip AI-isms and add real voice.

日本語の概要は準備中です。原文の説明を表示しています。

Humanize text: strip AI-isms and add real voice.

日本語の概要は準備中です。原文の説明を表示しています。

日本語文章のAI臭（slop）を検出し、書き手のいる文章に直す。読みにくさ（一文の長さ、語順、読点、漢字連続、翻訳調）の推敲も扱う。日本語で記事・note・ブログ・報告書・メール・議事録・スライド原稿・論文・返答を「書く」「直す」「校正する」「レビューする」「人間っぽくする」「AI臭を消す」「humanize」「de-slop」ときは、明示的に頼まれなくても必ずこのスキルを使う。読者に「AIっぽい」と言われた文章の修正、公開前チェック、英語・日本語の臨床研究論文の執筆と推敲にも使う。語彙リスト（「効く」「強い」「重い」「浮き彫り」「これにより」、全角ダッシュなど約300項目）と、文長・段落構造・「〜ではなく」比率を機械的に測る scripts/check.py を含む。

Use when the user wants to write text in a specific 16-minds (MBTI) personality's voice — articles, blog posts, essays, SNS投稿, replies, or rewriting existing AI-generated text to feel less AI-like. Triggers on Japanese phrases like 「ENFPで書いて」「INTJ風の記事」「人間っぽく書き直して」「AI臭抜いて」, English equivalents like "write as INFJ" / "humanize", or any 16-minds command with a `--write` / `--rewrite` flag. Personality (one of intj/intp/entj/entp/infj/infp/enfj/enfp/istj/isfj/estj/esfj/istp/isfp/estp/esfp) must be specified or inferable.

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。

Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.

日本語の概要は準備中です。原文の説明を表示しています。

複数のSNSに向けた投稿計画を作り、媒体ごとの文章や画像の要件、承認状況を整理します。公開確認や、予約投稿ツールへ渡す承認済み原稿の準備まで支援します。

• 翌月のSNS投稿を計画したいとき
• 新製品の発表を複数媒体へ展開
• 記事や動画をSNS投稿に再構成

Beta readers for any draft, run by simulating how a real reader experiences it, moment by moment. A skim gate, a no-lookahead timed read producing an attention transcript with quit points, a recall test of what a reader remembers the next day, and a trust ledger of the implied author. Use when the user asks for a beta read, beta readers, test readers, human review, reader review, to read something like a human, to be a first reader, whether a piece holds attention or will actually get read, for a quick read of whether a busy skimmer would even open a post, what readers will remember or take away tomorrow, where readers stop reading or bounce, or why a draft still feels off or hollow after anti-slop or humanizer edits. Final gate before publishing; reports where the reading broke; never rewrites.

日本語の概要は準備中です。原文の説明を表示しています。

Find, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow.

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence).

日本語の概要は準備中です。原文の説明を表示しています。

Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).

日本語の概要は準備中です。原文の説明を表示しています。

Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts, meaning, and the writer's voice. Use when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when a project rule or instruction file explicitly requires this workflow. Don't use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verbatim quotations unchanged.

日本語の概要は準備中です。原文の説明を表示しています。

AI(Claude 등)가 제안한 한글 커밋 메시지의 사무적·번역투 어휘("~을 수행함", "~을 진행함", "~적 개선을 실시함" 등)를 실제 개발자가 쓰는 자연스러운 한국어 커밋 메시지로 다듬는 스킬. humanize-korean과 달리 산문 문단이 아니라 1~2줄짜리 커밋 메시지 register에 특화되어 진단·청킹 없이 단일 콜로 즉시 처리한다. 트리거 — "커밋 메시지 자연스럽게", "커밋 메시지 다듬어줘", "이 커밋 메시지 AI 티 나", "commit message 한국어로 자연스럽게", "커밋 메시지 어색해", "커밋 메시지 사람처럼".

日本語の概要は準備中です。原文の説明を表示しています。

Tone enforcement patterns for external-facing community responses

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user asks to rewrite, humanize, clean up, or remove AI-isms from text while preserving the writer's voice, facts, intent, structure, register, and protected material.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user names a local file and explicitly asks to clean, rewrite, humanize, or remove AI-writing patterns in that file itself, with minimal targeted edits and post-edit verification.

日本語の概要は準備中です。原文の説明を表示しています。

Interview the user for the raw material their posts are made of. Builds a lasting Story Bank of roles, numbers, turning points, scars and positions, or runs a focused interview that turns one topic into a post spine. Use when a draft has nothing concrete to draw on, or the user says interview me. Not for learning how they write (use linkedin-humanizer --mode profile).

日本語の概要は準備中です。原文の説明を表示しています。

Draft sections of the sewage-house-prices academic paper. Handles section drafting for the Overleaf LaTeX manuscript, notation protocol, anti-hedging, and humanizer pass. This skill should be used when asked to "draft the paper", "write up the results", "write the intro", or draft any section of the manuscript.

日本語の概要は準備中です。原文の説明を表示しています。

Remove signs of AI-generated writing from academic medical papers. Use when editing or reviewing manuscripts to make them sound more natural and professionally written. Based on Wikipedia's "Signs of AI writing" guide, adapted for medical literature.

日本語の概要は準備中です。原文の説明を表示しています。

Verify that a watermark-removal or "humanizer" step actually removed a statistical text watermark, by measuring a sample whose key the user holds. Use after any tool, script or service claims to have cleaned a text, or when the user asks whether such a tool works, which one to trust, or how to test one. Reports a detector score against fixed thresholds plus what the run cost in meaning, facts, verbatim overlap and length. This skill only measures and never removes a mark.

日本語の概要は準備中です。原文の説明を表示しています。

Make AI-generated writing read as human-written, in fiction and in professional prose. Repairs the narrative architecture of fiction and stories (based on StoryScope, arXiv:2604.03136); routes professional text through domain rules for release notes, announcements, PR and issue replies, code-review comments, incident postmortems, tickets, work orders, technical articles, blog posts, and long-form journalism. Four operations - write, review (diagnose AI tells without editing), refactor (minimal in-place edits), recreate (full rewrite). Use when asked to humanize, de-AI, unslop, or strip AI flavor from any text; when writing or revising any of these document types; or whenever output must not read as machine-written.

日本語の概要は準備中です。原文の説明を表示しています。

Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.

日本語の概要は準備中です。原文の説明を表示しています。

Write a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hook options, one full draft, and a copy-ready block that is never published without an explicit yes.

日本語の概要は準備中です。原文の説明を表示しています。

Extract a written voice profile from your own prior papers, then use it to keep new drafts sounding like you. Reads a corpus one document at a time via subagents, produces a reusable profile on disk (lexicon, sentence rhythm, how you open and close, hedging habits, deliberate quirks), and audits a draft against it. Use when the user says "make this sound like me", "match my voice", "profile my writing", "why does this draft not sound like my papers", or before drafting prose that will carry their name. The positive counterpart to /humanize, which only detects AI tells.

日本語の概要は準備中です。原文の説明を表示しています。