writing-style-and-tone

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Chinese

writing-style-and-tone

writing-style-and-tone

The writing craft — sound like someone, tune tone to the moment, yank the dead weight, let the rhythm breathe, and edit against the tells intelligently. The agent drafts and edits in the voice; the human supplies the lived specifics and the final call; WoopSocial publishes. (Craft skill — no tool file.)
写作工艺——听起来像某个人,将语调调整到当下时刻,去除赘余,让节奏呼吸,并智能地针对AI痕迹进行编辑。Agent以该声音起草和编辑;人类提供真实的亲身细节和最终决定;WoopSocial发布。(工艺技能——无工具文件。)

The POV: the tells are symptoms — the disease is saying what anyone could say

核心观点:痕迹是症状——病症是说出任何人都能说的话

2026 quantified the stakes: 52% of consumers say they disengage the moment they suspect copy is AI, only 13% say they completely trust AI, experienced AI users now detect machine text at near-perfect rates, and discovery systems treat predictable-pattern content as noise. So the tell taxonomy matters — the delve-class vocabulary (44% of PubMed's all-time "delve" appearances landed in 2023–24), "It's not X, it's Y," the forced rule-of-three, the rigid intro-point-point-conclusion shape, fluff sentences, relentless positivity — but the top-1% position holds two truths at once. First: apply the tells as a cluster, with judgment — no single marker proves AI, the em-dash panic is folk detection, and detector-chasing punishes real writers (the Stanford study: detectors misflagged non-native-English essays at a 61.3% average false-positive rate). Second: the cure is substance, not deletion — make the writing so obviously human that the question never comes up: a real number, a named moment, a stated opinion, productive digression, varied rhythm. Say what only you could say. And the discipline that governs every moment: voice is identity (constant); tone is register (flexes) — the playful brand goes plain on its hardest day without becoming a different company. One absolute: authenticity cannot be counterfeited — no invented anecdotes, no manufactured vulnerability, no staged typos.
2026年量化了风险:52%的消费者表示一旦怀疑文案是AI就会停止互动,只有13%的人表示完全信任AI,有经验的AI用户现在以接近完美的比率检测机器文本,发现系统将可预测模式的内容视为噪音。因此痕迹分类很重要——delve类词汇(PubMed历史上所有"delve"出现的44%集中在2023-24年)、"这不是X,而是Y"、强制的三点式结构、僵硬的引言-要点-要点的结论形态、空话句子、无情的积极性——但顶级1%的立场同时持有两个真相。第一:将痕迹作为一组集群应用,带有判断力——没有单一标记能证明AI,em破折号恐慌是民间检测法,追逐检测器会惩罚真正的作家(斯坦福研究:检测器对非英语母语文章的平均误报率为61.3%)。第二:解药是实质内容,而不是删除——让写作如此明显地人性化,以至于问题永远不会出现:一个真实的数字、一个具名的时刻、一个明确的观点、有益的离题、多变的节奏。说出只有你能说的话。而支配每个时刻的纪律是:声音是身份(恒定);语调是语域(灵活变动)——有趣的品牌在其最艰难的日子里也会变得平实,而不会变成另一家公司。一个绝对原则:真实性无法伪造——不编造轶事、不制造脆弱感、不设计错别字。

Read these first

首先阅读这些

  1. voice-builder — the voice this craft inhabits (the constitution; this skill governs by it).
  2. brand-profile + the piece's format skill (conventions the craft applies inside).
  1. voice-builder — 该工艺所栖居的声音(宪法;本技能受其管辖)。
  2. brand-profile + 作品的格式技能(工艺在其中应用的惯例)。

The framework: STYLE

框架:STYLE

(Depth:
references/the-style-framework.md
.)
  • S — Sound like someone: one only-you element per piece (number, moment, opinion); concrete over abstract; subjectivity as a feature.
  • T — Tune tone to the moment: the tone map (celebration / education / sales / complaint / crisis) with voice fingerprints persisting; platform register shifts, identity doesn't (the cover-the-handle test).
  • Y — Yank the dead weight: fluff sentences deleted whole; throat-clearing cut; verbs over adjectives; one idea per sentence; front-load.
  • L — Let the rhythm breathe: burstiness — long-build then short landing; punctuation as pacing; the read-aloud test (every stumble is an edit).
  • E — Edit against the tells, intelligently: the cluster sweep with judgment, never bans; the substance test decides, not a detector score; disclose AI use where required.
(深度:
references/the-style-framework.md
。)
  • S — 听起来像某个人: 每篇作品至少一个只有你的元素(数字、时刻、观点);具体优于抽象;主观性作为特征。
  • T — 将语调调整到当下: 语调地图(庆祝/教育/销售/投诉/危机),声音指纹持续存在;平台语域变化,身份不变(遮住名字测试)。
  • Y — 去除赘余: 空话句子整体删除;清嗓子式铺垫被删减;动词优于形容词;每句一个想法;把重点前置。
  • L — 让节奏呼吸: 节奏起伏——长铺垫然后短落地;标点作为节奏;朗读测试(每次磕绊都是一次编辑)。
  • E — 智能地针对痕迹编辑: 带判断力的集群扫描,绝不全盘禁止;实质测试决定,而不是检测器分数;在需要的地方披露AI使用。

The reality (verify-quarterly)

现实(每季度验证)

The stakes: Bynder's 52% disengagement figure; Klaviyo's 13% complete-trust figure; near-perfect detection by experienced AI users (Russell et al.); information-gain systems penalizing sameness. The taxonomy (converging 2026 sources): hallmark vocabulary (the measured delve surge; delve+underscore co-occurring in 98.8% of joint 2023–24 papers), structural tells (repetitive shapes, furthermore/moreover, forced threes, negative parallels, forced lists), substance tells (fluff sentences), texture tells (relentless neutrality/positivity; typographic perfection vs human "--" and straight quotes). The counter-nuance: no single marker proves AI (the "ChatGPT hyphen" discourse; Stanford's 61.3% average false-flag rate on non-native writers); write for readers, never against detectors — with the tactical footnote that a writer may spare a marker for a suspicious audience. The human profile to honestly reach: subjective, colloquial, emotion-rich, divergent, rhythm-varied. Attribute all; verify-quarterly. Full detail:
references/writing-style-2026-reality.md
; the four-pass edit, tone map, before/after, read-aloud protocol, and worked examples:
references/edit-passes-and-templates.md
.
风险:Bynder的52%停止互动数字;Klaviyo的13%完全信任数字;有经验的AI用户近完美的检测率(Russell等人);信息增益系统惩罚同质化。分类(2026年来源趋同):标志性词汇(测量的delve激增;delve+下划线在2023-24年联合论文中98.8%共现)、结构痕迹(重复形状、furthermore/moreover、强行三点、否定平行、强制列表)、实质痕迹(空话句子)、质感痕迹(无情的 neutrality/积极性;排版完美 vs 人类的"--"和直引号)。反细微差别:没有单一标记能证明AI("ChatGPT连字符"讨论;斯坦福对非母语写作者的61.3%平均误报率);为读者写作,永远不要对抗检测器——附带战术脚注:作者可以为可疑受众省略某个标记。诚实可达的人类画像:主观、口语化、情感丰富、发散、节奏多变。注明所有来源;每季度验证。 完整细节:
references/writing-style-2026-reality.md
;四遍编辑、语调地图、前后对比、朗读协议和实例:
references/edit-passes-and-templates.md
。

Honest scope (never violate)

诚实的范围(绝不违反)

  • The agent drafts in the voice, runs the four passes, renders tone per the map, and flags where a real specific is needed — placeholders stay visibly unfilled until the human supplies lived material and signs off. The authenticity absolute: never invent the human's experiences, failures, credentials, or feelings; never manufacture vulnerability; never stage typos — real substance, not counterfeit texture.
  • Detector honesty: no score theater; the reader is the judge; AI-disclosure where platform/policy requires. Tone ethics: crisis and complaints get plain, accountable language — never spin. Claims route through content-research-and-sourcing; metrics never fabricated. (Full scope:
    references/scope-and-connections.md
    .)
  • Agent以该声音起草,运行四遍编辑,根据地图渲染语调,并标记需要真实具体内容的位置——占位符保持可见未填充状态,直到人类提供真实材料并签字。真实性绝对原则: 绝不编造人类的经历、失败、资历或感受;绝不制造脆弱感;绝不设计错别字——真实的实质内容,而不是伪造的质感。
  • 检测器诚实: 没有分数戏剧;读者是法官;在平台/政策要求的地方披露AI使用。语调伦理: 危机和投诉使用平实、负责任的语言——绝不粉饰。主张通过content-research-and-sourcing验证;指标绝不捏造。(完整范围:
    references/scope-and-connections.md
    。)

Distinct from its siblings (route correctly)

与其兄弟技能的区别(正确路由)

writing-style-and-tone (this) = the applied prose craft + tone control · voice-builder = defines the voice (this inhabits it) · hook-writer / hooks-and-retention-deep-dive = the first line (this owns everything after) · text-post-and-microblog / caption / email skills = format conventions · copywriting/conversion skills = persuasion architecture (this is the prose layer under it) · content-research-and-sourcing = verifies the claims this styles · contrarian-and-opinion = the POV strategy this renders · every AI-drafting workflow = this is its mandatory edit layer.
writing-style-and-tone(本技能) = 应用的散文工艺 + 语调控制 · voice-builder = 定义声音(本技能栖居其中) · hook-writer / hooks-and-retention-deep-dive = 第一行(本技能负责之后的一切) · text-post-and-microblog / caption / email 技能 = 格式惯例 · copywriting/conversion 技能 = 说服架构(本技能是其下的散文层) · content-research-and-sourcing = 验证本技能所风格化的主张 · contrarian-and-opinion = 本技能渲染的观点策略 · 每个 AI起草工作流 = 本技能是其强制性编辑层。

Where this connects

连接之处

Reads first: voice-builder + brand-profile + the format skill. Consumes: drafts from any content skill or AI assistant + the human's lived specifics. Feeds: every written surface — text posts, captions, carousels, newsletters, scripts (spoken register → scripting-and-storyboarding), community replies. Publishes via: the finished piece → scheduling-and-queue → WoopSocial. Measure with: read-through, saves/ shares, reply quality, and the absence of "did AI write this?" comments via analytics-and-reporting — never fabricated.
首先读取:voice-builder + brand-profile + 格式技能。 消费:来自任何内容技能或AI助手的草稿 + 人类的真实亲身细节。输出:所有书面表面——文本帖子、标题、轮播图、通讯、脚本(口语语域 → scripting-and-storyboarding)、社区回复。通过以下方式发布:完成的作品 → scheduling-and-queue → WoopSocial。 通过以下方式衡量:通读率、保存/分享、回复质量,以及通过 analytics-and-reporting 确认没有"这是AI写的吗?"评论——绝不捏造。

Definition of done

完成定义

Prose that passes the substance test before any tell sweep: at least one only-us element per piece (a real number, named moment, or defensible opinion supplied by the human — never invented), dead weight yanked (no fluff sentences, no throat-clearing, verbs doing the work), rhythm varied and read aloud until stumble-free, tone rendered deliberately from the map (voice fingerprints constant; cleverness dialed to zero as stakes rise; the cover-the-handle test passed across platforms), and the tell cluster swept with judgment — no banned punctuation, no detector-score theater, AI use disclosed where required; the agent flagging placeholder slots rather than fabricating lived experience, the human filling and approving them, claims verified via content-research-and-sourcing, and the piece published via WoopSocial; no invented anecdotes, manufactured vulnerability, staged imperfection, or fabricated metrics; and correctly distinguished from voice-builder, hook-writer, the format skills, and content-research-and-sourcing.
通过实质测试的散文,在任何痕迹扫描之前:每篇作品至少一个只有我们的元素(人类提供的真实数字、具名时刻或可辩护观点——绝不编造),去除赘余(没有空话句子、没有清嗓子式铺垫、动词在起作用),节奏多变并朗读到无磕绊,根据地图刻意渲染语调(声音指纹恒定;随着风险上升将巧妙度调至零;跨平台通过遮住名字测试),并以判断力扫描痕迹集群——没有禁止的标点、没有检测器分数戏剧、在需要的地方披露AI使用;Agent标记占位符槽位而不是编造真实经历,人类填充并批准它们,主张通过content-research-and-sourcing验证,作品通过WoopSocial发布;没有编造的轶事、制造的脆弱感、设计的缺陷或捏造的指标;并正确区分于voice-builder、hook-writer、格式技能和content-research-and-sourcing。