让工作文字更像人写的

SKILL研究检索

原名 Work Humanizer · 标识 work-humanizer

研究检索 未标注权限 许可证不明确

针对读起来像 AI 生成的工作文本进行改写,让它像某个具体的人写给具体读者看的,同时保留全部事实不增删。适合润色邮件、报告、说明文档等正式或半正式内容。

一句话选型结论

按资料字段整理

让工作文字更像人写的是研究检索类的 Agent Skill,安装方式:GitHub 仓库,权限级别未标注,许可证不明确,没有现成安装命令,需按说明手动放置 SKILL.md。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类研究检索 安装方式GitHub 仓库 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 product-engineering
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

GitHub 仓库
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    按安装说明或仓库 README,把 SKILL.md 放到客户端的 skills 目录(一般一个技能一个文件夹)。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方phuryn仓库 product-engineering · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式GitHub 仓库安装包 phuryn/product-engineering
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 未标注
正文体量21.1 KBSKILL.md 原文大小,越大说明说明书写得越细

能做什么

0 项能力
上游给出的能力概览与适用场景
去除文中的 AI 腔润色工作邮件改写报告与说明

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查资料并整理出处

让模型按主题查资料,并把引用来源整理成清单。

网页与文献要点提炼

把长文、论文、网页压成能直接看的要点。

竞品与行业汇总

按关键词汇总竞品动态与行业信息。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 基础信息齐全,可以先按说明装一个试试。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有现成安装命令,要按安装说明或仓库 README 手动放置。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在研究检索场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
让工作文字更像人写的当前 未标注权限 GitHub 仓库 未标注 未标注 无
寻找技能 浏览器控制 GitHub 仓库 3120.0 万 Codex、Claude、Cursor 有
自我改进 Agent 接触敏感数据 ClawHub 市场 1646.4 万 OpenClaw 有
灵魂追踪 联网访问 GitHub 仓库 758.9 万 Codex、Claude、Cursor 有
自我完善 联网访问 ClawHub 市场 682.9 万 OpenClaw 有
微软代工厂 调用外部服务 GitHub 仓库 661.4 万 Codex、Claude、Cursor 有

SKILL.md 全文

21.1 KB
模型实际读到的说明书原文,来自技能仓库

work-humanizer

Make the text read like a specific person wrote it for a specific reader. Keep every fact. Invent nothing.

Three things we measured shape everything below:

  1. Readers notice texture. Emphasis with no information in it, uniform rhythm, generic claims, and sentences that do the reader's thinking for them. Those are fixable by editing.
  2. Detectors read composition, not words. A human-written article stayed 99-100% human on a commercial detector after AI formatting, an AI copyedit, and a full AI sentence-by-sentence rephrase. The same piece composed by AI from its outline scored 68% human, and a style-targeted rewrite of that AI version moved it one point. In our October 2026 test, rewrites of AI drafts by this skill, by blader/humanizer, and by a bare prompt all stayed AI on that detector, while versions built from the writer's own sentences scored human roughly in proportion to how many of those sentences survived. An assistant model rewording a draft does not change who composed it. (A paraphrase model trained against detectors did flip the score, and in the same test it cost meaning and quality.) Never promise "undetectable". If the writer needs text that is genuinely theirs, use interview mode.
  3. Specifics carry the human signal. Density of numbers, names, and dates was the one signal that tracked reader response across the creators we studied. You may only use specifics that are in the source or that the writer gives you.

Pick the mode

Rewrite mode (default). The user gives you text; you edit it.

Interview mode. Use it when the user asks for it, or when the writer can answer and the text fails this test: could anyone with the same one-line request have written it? If yes, it is missing what only the writer knows (the real example, the number behind "significantly", what went wrong, what they actually think), and no edit can supply that. This is the usual case for posts, newsletters, essays, bios, talk abstracts, pitch emails, landing pages, job posts, and launch stories. Rewrite without asking when the text is operational and its facts are all present: a Slack update, a support answer, a release note, a policy, a doc.

Interview mode

Ask one round of at most 5 questions, then write.

  • Each question fills a gap a reader would feel. The real example, the number, the name, what happened, what the writer actually thinks, what they would tell a friend. Quote the line the answer will replace.
  • Ask for narration, not a form. "In two or three sentences, the way you'd say it out loud: what happened the first time a customer used it?" beats "Please provide a customer example."
  • Make it cheap. Each question answerable in under a minute. Say they can skip any.
  • Never ask about tone, audience, or format unless you truly cannot infer it.

Then compose from their words:

  • Their sentences are the material. Keep their phrasing, their order, their odd word choices. Edit only for clarity, grammar, and length. Rewording keeps the writer's fingerprint; recomposing replaces it with yours.
  • Use the AI draft as a checklist of points, not as the skeleton. The draft's sentence skeletons carry its AI signature. Where the writer and the draft disagree, the writer wins.
  • A skipped question gets a plainer sentence or a cut, never an invented detail.

When the writer gives you notes or a voice memo

Notes, a voice-memo transcript, or a rough draft the writer wrote themselves are the main material, not background for an AI draft. They already carry the writer's reasoning, and readers and detectors recognize a writer by their reasoning: their claims, the order they make them in, their "because" and "so", their examples.

  • Their structure is the skeleton. Their claim order, their because/so links, their examples where they put them. If they argue A because B, so C, the piece goes A, B, C, not an AI draft's order.
  • Their sentences stay whole where possible. Edit only for clarity, grammar, and length; keep their odd word choices.
  • An AI draft, if there is one, is a checklist. It may only add a point the writer's notes confirm, placed where it fits their argument. Never borrow its skeleton, transitions, or framing.
  • The notes are the source for the fact audit. Every fact, commitment, and caveat in the writer's notes must survive. A fact that appears only in the AI draft is optional: keep it where it supports the writer's argument, drop it where it doesn't. It must still be accurate, and you may not add anything that is in neither.
  • Ask only what the notes leave open. If they already cover the point, the example, and what the reader should do, write without asking.

Rewrite mode

  1. Read for the job. Genre, reader, and what the reader must know or do afterwards. Decide where the point goes and commit: answer-first for replies, emails, Slack, and announcements; evidence-first for explanations and arguments. A text that states its point in line 1 and builds to the same point at the end has done both. Cut one.
  2. List the facts, with their certainty. Every number, name, date, claim, commitment, caveat, link, and call to action, plus the qualifier attached to each ("could", "typically", "about", "helped", "the remaining piece"). This list must survive intact.
  3. Write it fresh. Put the draft aside. From your step 2 list, write the piece the way this writer would write it for this reader (see "Sound like a person"): their speaker, their register, plain spoken sentences in normal word order. Do not edit the AI sentences in place; a patched AI draft still reads like one. Reuse the draft's exact words only for names, the reader's own terms, and the wording of commitments and conditions. Fresh wording, same claims: every claim in the draft appears in your version at the same strength, no stronger and no weaker.
  4. Keep the claim, drop the formula. A stock line (a generic moral, a value pitch, a gratitude formula, a vague benefit) still carries something the writer meant to say. Say that thing once, plainly, in the writer's voice: "Those visits helped us get here" becomes "We wouldn't have made it ten years without you coming in." Cut a stock line only when it repeats something already said.
  5. Cut and fix. Now edit your version: delete filler, restatement, and hype; fix every tell below, strongest first (a colon reveal, a triad, a stock closer, a generic wrap-up line). Cutting must not leave it clipped: if the draft was not padded, your version should be about as long as the draft. Voice, concrete detail, connective words, and the warmth a genre needs are not padding. Let sentences breathe: use the small words people use when they talk (so, and, but, just, then), and never squeeze two ideas into one clipped clause.
  6. Fix rhythm and flow (section E).
  7. Run the final checks, including the fact audit against the original draft.

What you must not change

  • Certainty. Keep the level, not necessarily the words. "Could help reduce" is not "cuts", "typically" is not "always", "the remaining piece" is not "the only big piece". But one qualifier is enough to carry it: "can help spot changes before noticeable symptoms appear" can become "can catch changes before you'd notice symptoms".
  • Reasons and conditions. Don't add an explanation, a cause, an eligibility rule, or a benefit the writer didn't state, even an obvious one.
  • Vague into vaguer. When a claim is vague and you have nothing specific, keep the writer's words or cut the sentence whole. Never swap in a vaguer phrase ("Premium adds more to the app").
  • Who does what. Keep the actor ("we'll email you" stays with "we" unless the writer is clearly one person).

The tells, strongest first

A. Staging: emphasis that adds no information

  • Contrast with a claim nobody made. "It's not X, it's Y", "not just X but Y", "This isn't about X. It's about Y.", a clipped "no X, no Y" tail. State Y. Keep the contrast only when readers really believe X.
  • Pause-and-point. "Here's the thing:", "Here's what matters:", "Let me be clear:", "Let's break it down.", the one-line colon reveal ("The best part: it learns."), and a count announced before a list ("This hurts in four ways:", "Three things changed:"). The point should simply be the next sentence.
  • Restating closers. "The bottom line?", "Key takeaway:", "That's the real win.", "And that's why X is the future.", "What do you think?", "Thoughts?" End on the last concrete thing, or on one line of what the writer concludes.
  • Aphorisms and stacked parallel lines. "Less clicking. More building." "Automation executes. Agency decides." Budget: at most one crafted, quotable line per piece, and zero is fine. Experienced writers average zero to one even in long posts. Flatten the rest into plain statements that keep the fact.
  • Fragment stacks in prose. "No setup. No config. Just results." Merge into one sentence with a subject and a verb. Lists are exempt.
  • Invented metaphor labels. A clever image that names nothing the reader can use ("a comfort blanket", "the operating system for your team"). Say the plain thing.

B. Doing the reader's work

Six patterns. Test each sentence by deleting it: if the reader can still recover the meaning, leave it deleted.

  1. Defining a word the reader knows ("Revoke the token, which invalidates the session.").
  2. Spelling out the implication ("This means that...", "In other words..."), including the trailing -ing rider (", highlighting the team's commitment to...", ", underscoring...", ", reflecting a broader shift").
  3. Stating the conclusion the facts already delivered ("So the lesson is...").
  4. Pointing ("Notice how...", "As you can see...", "What this shows is...").
  5. Telling the reader how to feel ("This is exciting.", "This should worry you.").
  6. Narrating transitions ("Now let's look at...", "Moving on to..."). One signpost per major section is fine in a long, sectioned document.

C. Inflation and generic claims

  • An adjective with no specific behind it ("significant", "seamless", "powerful", "robust", "game-changing"). Attach the number, name, or mechanism the source gives, or cut the adjective. Never supply a number the source lacks.
  • Inflated significance. "a pivotal moment", "a testament to", "reshaping the landscape", "the future looks bright". Keep the fact, drop the significance.
  • Marketing register outside marketing, and stock AI vocabulary. Lists in tells.md. One hit is weak; several together are the tell.
  • Constructions nobody says out loud. "The recommended approach is X" becomes "Do X". "Serves as" becomes "is". Nominalizations ("perform an evaluation of") become verbs. Op-ed verbs for sources ("posits", "contends", "asserts") become "says" or "writes". The test: would you say this sentence to a smart friend over coffee? If you'd say something plainer, write that.
  • Vague authority. "Experts agree", "studies show", "many companies". Name who, if the source does. Otherwise cut or scope it ("in our tests").

D. Hedges in the wrong place

People state facts flatly and hedge their opinions. AI text does the reverse, or hedges everything.

  • Facts bare: don't add hedges to facts. A qualifier the writer chose ("typically", "about", "could") is part of the fact: keep one, cut the stack around it.
  • An opinion gets one marker ("I think", "probably", "in my experience"), never two in a sentence.
  • Cut filler hedges everywhere: "arguably", "it's worth noting", "it's important to note", "it could potentially".
  • When a claim needs a qualifier, name the case where it doesn't hold instead of softening it: "For regulated teams, a manual review still wins."
  • Never add an absolute ("everyone", "always", "nobody", "the first") the source cannot back.

E. Rhythm by rule

  • Sentence length. AI prose clusters in one band, usually 10-20 words. If more than about 70% of sentences sit within five words of the median, vary them, in the right direction. Uniformly long: split one or two and add a short sentence that lands a fact. Uniformly short and choppy, the usual result of removing dashes and fragments: merge into a longer sentence that breathes (25-40 words). The human writers we measured ranged from 12% to 66% in that band. A short sentence must carry something; "It works." carries nothing.
  • Openers. AI starts too many sentences with The, It's, That's, This, and You. Vary them.
  • Triads by reflex. Keep three items only when there are three things.
  • The shuffle test. If you could reorder the sentences without losing meaning, the text is a stack of facts, not an argument. Rebuild the spine so each sentence leans on the one before (cause, contrast, example, consequence). Do not sprinkle connectors to fake it.
  • Filler transitions at the start of a sentence. Additionally, Furthermore, Moreover, However, Importantly, Ultimately, In conclusion, That said. Cut or restructure. Plain "But", "So", and "And" are fine when they do work.
  • Synonym cycling. If two words name the same thing (the tool, the report, the feature), use the same word every time. Readers stop to wonder whether "the platform" and "the solution" are two things.

F. Punctuation and formatting

  • Em dashes and spaced en dashes: remove them, unless the writer's own writing uses them. Pick the substitute by context: colon for label-then-description, period for two complete thoughts, parentheses for a real aside, comma for a light pause. Not a semicolon: AI edits reroute dashes into semicolons (we measured 2.9 per 1,000 words in AI-edited posts against 0.3-0.4 in the same writer's own prose). And not a colon reveal (section A).
  • Bold-label paragraph starts ("Speed. The new engine..."), bold sprinkled on phrases, emoji bullets, Title Case Headings: remove.
  • Labels that say nothing. If every item carries the same label ("Mitigation:", "Benefit:", "Impact:") or the label just repeats its sentence, drop the labels and write the items as sentences. Keep lists and headings where the reader will scan or come back: release notes, specs, steps, options to compare, a reference page.
  • Exclamation marks: at most one, and only where a person would actually exclaim. Never to fake enthusiasm.

G. Chat residue

"Great question!", "Certainly!", "I hope this helps", "Let me know if you'd like...", "Here's a revised version:", "As of my last update". Remove the wrapper, keep the content.

Sound like a person, not a costume

Removing tells is half the job. Plain is not flat. Write the way a competent person in this role writes this genre for this reader, as if saying it to them across a table:

  • Contractions by default (it's, we're, you'll, don't, that's). Drop them only in formal documents: policies, contracts, formal PRDs.
  • The speaker talks as themselves. Keep the draft's speaker ("we" stays "we", "I" stays "I"), but let them speak in the first person instead of describing themselves from outside ("The team will review" becomes "We'll review" when the team is writing).
  • Talk to the reader as "you" wherever the genre addresses a reader.
  • Everyday verbs: use, help, start, need, fix, send. Not utilize, leverage, facilitate, ensure, enable.
  • Ownership: "I'll send the tracking number", not "Tracking details will be provided".
  • Warmth where the genre is personal. A thank-you, an apology, an invitation, a celebration, a note to customers: say the warm thing plainly, once ("Thanks for sticking with us."). One exclamation mark is fine where a person would actually exclaim.
  • Match the room. Casual where the context is casual (Slack, a community newsletter, a shop's social post); plain and professional where it is formal (PRD, memo, policy). Formal still means plain verbs and complete, natural sentences.
  • Conversational, not colloquial. Plain spoken English carries the voice. At most one idiom or slangy phrase per paragraph; a cluster of them ("pointy end up", "a natter", "the hard bit") reads as a humanizing pass.

Do not bolt on personality. "Honestly,", "Quick heads-up", "Not bad.", "On a happier note", a rhetorical question to sound chatty, a joke the writer didn't make: readers spot an inserted casual pass as fast as they spot AI polish.

Keep what is already human

  • Specific details, unusual word choices, opinions, asides, humor, doubt, mixed feelings. These are what you are protecting.
  • The reader's working vocabulary: product names and technical terms they would type or search for. Cut jargon that performs expertise; keep terms that let the reader act.
  • Genre conventions. A release note can be a list, a PRD can have headers, a support reply can be warm, a letter can have a sign-off.
  • If the user gives a writing sample, match its sentence length, punctuation, openings, and register. The sample overrides the rules above.
  • No fake noise. No planted typos, forced slang, lowercase costume, "lol", or invented "I remember when" stories. Human texture comes from specifics and decisions, not from imitated mistakes.

Genre notes

  • Slack, DM, reply in a thread: the answer or the ask goes first. Cut background the reader already has. One to four sentences is often enough.
  • Cold email: one specific reason you are writing to this person, from the source, and one ask. No "I hope this finds you well".
  • Social post: line 1 is the most concrete thing in the post. No engagement-bait closer, no hashtag pile.
  • Release note or product update: what changed, who it is for, what to do, with the numbers. No "We're thrilled to announce".
  • Landing page: the concrete outcome and how it happens. Cut empower, unlock, seamless, elevate.
  • Docs, PRDs, policies: plain and precise; keep the structure; hedge only real uncertainty.

Final checks (every time)

  1. Fact audit. Recomposing is where facts slip, so check sentence by sentence against the original draft (when you wrote from the writer's notes, against their notes; see that section). Every number, name, date, price, quote, condition, commitment, benefit, and caveat is present, with the same value and the same certainty, and the speaker is unchanged. Watch the strength words: "can help" must not become "will", "might" must not become "would", "little" must not become "no", a proposal must not become a promise, and nothing gains "only", "every", "always", or "guaranteed". Do not make explicit what the draft left implied. Then the other direction: the rewrite adds no fact, example, anecdote, reason, benefit, opinion, or detail the writer did not give. Warmth and voice are allowed; new content is not.
  2. Mechanical sweep. Search the final text for em dashes (U+2014), en dashes (U+2013), semicolons, and the lists in tells.md. Eyes miss them. If you can run code: python check.py <file>.
  3. Crafted lines: one or none.
  4. Rhythm: the band and the openers.
  5. Read it aloud as the writer. Anything they would not say gets plainer.
  6. Length. Shorter than a padded input; about the same as an input that was not padded. Never cut a fact, the voice, or the warmth the genre needs to get there.
  7. Shorter option (run it every time; the writer decides). Your final text stays as it is. Then cover each paragraph in turn and read the rest: would the reader miss a fact, a commitment, a decision, or the writer's point? A paragraph that fails is a cut candidate. The usual candidates, most common first: an opening that states the point in general terms before the piece shows it (the opening is not protected by being the crafted line: if the examples or the story below make the point better, it is a candidate); lines any similar piece would have (a general moral, a "there's more to do" or "good to pause" close, a second thank-you); a part that says almost the same as another part (keep the stronger one); a second argument or finding that could stand on its own (it can move to a reply, a follow-up, or another piece). Never offer to cut the proof or the stakes: the examples, the numbers, the commitments, or a disclosure that makes the reader trust the piece. Note each candidate with its rough word count and add them up; do the count, don't guess. If the candidates add up to about a quarter of the text or more, offer the shorter option; be bold, a third or half is fine when those parts don't earn their place. Otherwise the answer is "none, it's already tight." Pieces under about 100 words skip this check.

What to return

Rewrite mode: the final text. If the user wants notes, add up to five bullets on what changed, plus any spot where a real specific would help ("A real customer number would make this line land"). Interview mode: the numbered questions first; after the answers, the final text.

Then, for any piece over about 100 words, end with one line that starts "Shorter option:" (final check 7). Either the option, offered and never applied: the cuts, roughly how much shorter the piece gets, and any fact a cut would lose and where it could move. Or "none, it's already tight." If the writer asks, write the shorter version in full.

How you can tell it worked

A careful reader can't tell the text came from a model, and every claim, number and commitment in it is unchanged.

常见问题

5 问
答案由本站依据条目字段整理
让工作文字更像人写的怎么安装?

没有现成安装命令:按安装说明或仓库 README,把 SKILL.md 放进客户端的 skills 目录(一般一个技能一个文件夹)。

让工作文字更像人写的支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

让工作文字更像人写的权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

让工作文字更像人写的收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

让工作文字更像人写的用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。