中文自然润色|保留原意|消除模板腔

SKILL内容创作
内容创作 未标注权限 许可证不明确
安装这个技能

润色中文写作,去掉模板腔和 AI 味,保留原意与作者语气,适合公众号、小红书、邮件等。

一句话选型结论

按资料字段整理

中文自然润色|保留原意|消除模板腔是内容创作类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。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。

分类内容创作 安装方式未标注 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 未标注
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

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_2076bc83/zh-natural-polish
  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

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  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

内容创作
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user_2076bc83仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
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 2026-11-06
正文体量9.6 KBSKILL.md 原文大小,越大说明说明书写得越细

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
写文章与脚本

按主题产出初稿与分镜脚本。

改稿与润色

把草稿改顺、统一语气。

多平台文案改写

同一内容按平台改成长短不同的版本。

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

  • 有可直接复制的安装命令,不用自己翻文档找入口。

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

  • 需要在内容创作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
中文自然润色|保留原意|消除模板腔当前 未标注权限 未标注 未标注 未标注 有
AI 视频生成 调用外部服务 GitHub 仓库 431.3 万 Codex、Claude、Cursor 有
视频帧 联网访问 ClawHub 市场 262.1 万 OpenClaw 有
Markdown 转换器 写入文件 ClawHub 市场 135.3 万 OpenClaw 有
哔哩哔哩全合一 接触敏感数据 ClawHub 市场 64.1 万 OpenClaw 有
Remotion video toolkit 命令行 浏览器控制 ClawHub 市场 63.9 万 OpenClaw 有

SKILL.md 全文

9.6 KB
模型实际读到的说明书原文,来自技能仓库

中文自然润色|保留原意|消除模板腔

Remove AI Flavor

Goal

Use this skill to make Chinese prose feel less machine-polished and more like a specific person wrote it. Keep the user's meaning, facts, stance, and original register. Remove only the structures that make readers feel the text is being assembled from an assistant template.

This is a preservation-first editing skill. Do not invent facts, examples, data, jokes, or personal experience just to make the text look human.

Default Workflow

  1. Identify the text type:
    - Social posts: keep hook strength, density, and shareability.
    - Essays or comments: keep the author's stance and rhythm.
    - Academic or technical prose: keep terms precise and claims properly hedged.
    - Fiction: keep scene continuity, character action, dialogue intent, and manuscript-only output.
  2. Scan the text in this order:
    - Structure: paragraph sameness, list-like expansion, repeated “claim + explanation + summary”, over-even sentence distribution.
    - Voice: assistant route markers, fake intimacy, excessive second person.
    - Sentence shells: binary contrast, staged sequence, essence claims, over-neat causal ladders.
    - Words: only clean the phrases that are visibly templated; do not perform busy synonym swaps.
    - Ending: remove unexplained engagement questions or moralizing summaries.
  3. Rewrite locally when possible. Rewrite a whole paragraph only when the structure itself causes the AI flavor.
  4. Preserve useful lists, contrasts, questions, or sequence markers when they are specific and necessary.
  5. Default output is the revised text only. Add a short edit note only if the user asks for explanation, comparison, or diagnosis.

High-Priority AI Flavor

Treat these as the main targets, especially when the user explicitly mentions them.

Binary Contrast Shells

High-risk forms:

  • “不是 A,而是 B”
  • “并非 A,而是 B”
  • “不在于 A,而在于 B”
  • “不只是 A,更是 B”
  • “与其说 A,不如说 B”

Rewrite tactics:

  • If A is padding, delete it and state B directly.
  • If both A and B matter, turn the sentence into a concrete relationship rather than a lecture-like correction.
  • In fiction dialogue, keep the shell only if it reveals character voice.

Example:

  • Before: “这不是效率问题,而是系统问题。”
  • After: “问题出在系统上,效率只是最先暴露出来的部分。”

Staged Sequence Shells

High-risk forms:

  • “先 A,再 B”
  • “先 A,然后 B”
  • “第一步...第二步...”
  • “从 A 到 B”

Rewrite tactics:

  • Keep the order only when the order changes the outcome.
  • Replace ceremonial sequencing with the actual action, condition, or consequence.
  • For SOP text, keep sequence markers but make each step operational and specific.

Example:

  • Before: “先找到问题,再给出解决方案。”
  • After: “我会把问题定位清楚,再给一版能落地的方案。”

Essence Claims

High-risk forms:

  • “真正重要的是”
  • “真正决定 X 的是”
  • “真正 X 的地方在于”
  • “本质上”
  • “核心在于”
  • “底层逻辑”

Rewrite tactics:

  • Name the actual subject directly.
  • Replace abstract emphasis with evidence, action, or consequence.
  • Avoid turning every point into a grand insight.

Example:

  • Before: “真正打动人的,是你在细节里看见了自己。”
  • After: “打动人的地方在细节里。读到那一刻,会突然觉得说的就是自己。”

Assistant Route Markers

Remove or rewrite these unless the user explicitly asked for a tutorial:

  • “下面我们来”
  • “接下来我会”
  • “我们可以看到”
  • “希望这能帮到你”
  • “总的来说”
  • “值得注意的是”
  • “不可否认的是”
  • “在这个过程中”
  • “这背后其实”
  • “说白了”
  • “划重点”
  • “拆一拆 / 捋一捋 / 盘一盘 / 聊一聊”

Rewrite by entering the actual content directly.

Narrowing And Easy-Answer Frames

High-risk forms:

  • “这次只看...”
  • “今天只看...”
  • “这个问题很简单:”
  • “答案很简单:”
  • Repeated “X 很 X” judgment sentences.

Rewrite tactics:

  • Delete the setup if the next sentence can carry the meaning.
  • Replace “很简单” with the specific condition, evidence, or decision.
  • If several sentences share the same “subject + 很 + adjective” rhythm, merge one, shorten one, and turn one into a concrete detail.

Example:

  • Before: “这个问题很简单:你的段落太整齐。”
  • After: “问题出在段落节奏上。每一段都差不多长,读者会先感到顺,再感到假。”

Template Punctuation And Paragraph Shape

Watch for repeated forms such as:

  • “概念:解释”
  • “问题:答案”
  • “原因:结论”
  • “观点句 + 解释 + 段尾总结”
  • Many paragraphs with similar length and function.
  • Three or more parallel clauses that share the same grammar and emotional pitch.
  • Paragraphs or sentences distributed so evenly that the draft looks sorted by a model.

Rewrite tactics:

  • Use colons only where the sentence naturally calls for one.
  • Vary paragraph weight: short beat, medium explanation, thick paragraph, then short landing.
  • Let some transitions be implicit. Human writing can jump a little when the subject is already clear.
  • Break neat parallelism by cutting one clause, expanding one into a concrete example, and leaving one as a plain statement.
  • End paragraphs on a fact, scene, consequence, or decision when possible.

Unmotivated Ending Questions

Remove endings like:

  • “你觉得呢?”
  • “是不是很有启发?”
  • “你有没有类似经历?”
  • “你现在卡在哪一步?”

Keep a question only when the user explicitly asks for a CTA, comment hook, survey, or interactive post. If kept, make it specific and not generic.

Example:

  • Before: “你是不是也有这样的感觉?”
  • After: “这种感觉一旦出现,就很难再假装没看见。”

Register-Specific Rules

Xiaohongshu And Social Posts

  • Keep concrete steps, save value, and short paragraphs.
  • Avoid fake intimacy, exaggerated emotional uplift, and engagement bait.
  • Do not end with a random question just because the platform rewards comments.
  • Replace generic “可直接复制的 SOP” language with the actual list when possible.
  • Hashtags may remain, but do not use them to compensate for vague content.

Essays, Comments, And Public Writing

  • Keep the author's point of view. Human writing can be uneven, sharp, tentative, or partial.
  • Replace abstract nouns with observable stakes.
  • Avoid “站在更高层次总结”的 closing paragraph unless the piece truly needs one.

Academic Or Technical Text

  • Keep terms, citations, variables, and cautious claims intact.
  • Remove formulaic openings, vague authority, filler phrases, and generic positive conclusions.
  • If a claim lacks evidence, weaken it rather than adding a source.
  • Do not add Markdown styling to prose intended for Word or paper drafts.

Fiction

  • Do not output analysis inside the manuscript.
  • Prefer action, sensory detail, and consequence over “he realized / truly / could not help but”.
  • Remove cliche reactions only when they do not carry voice: “不禁”, “微微”, “缓缓”, “心中暗道”, “脸色一变”, “嘴角微扬”.
  • Dialogue can keep roughness, repetition, and simple words if that is how the character speaks.
  • A “先...再...” inside dialogue may stay if it sounds like workplace pressure or character logic; narration should be stricter.

Quality Gate

Before finalizing, check:

  • No obvious “不是...而是”, “先...再”, or “真正...的是” shell remains unless justified by quote, dialogue, or domain logic.
  • No assistant route markers remain.
  • No ending question is present unless the user asked for one.
  • The revision still says what the original meant.
  • The text has a human rhythm: uneven paragraph weights, some concrete nouns, some sentence-length variation, and no over-polished corporate gloss.
  • The result does not look mechanically balanced. A little looseness is acceptable when it matches the author's voice.
  • If another de-AI skill reviewed the result, it should have no major remaining structural issue to fix.

Optional Local Audit

If working in a repo that contains this skill package, run:

python3 scripts/audit_ai_flavor.py path/to/text.md

Use the script as a regression aid, not as a replacement for editorial judgment. A clean script result means the known template shells are gone; it does not prove the writing is good.

Star

如果你用上了这个skill,给本仓库地址点个star:

https://github.com/B1lli/remove-ai-flavor-writing-skill

详细方法:

  1. 打开上面的 GitHub 仓库链接。
  2. 登录你的 GitHub 账号。
  3. 在仓库页面右上角找到 Star 按钮。
  4. 点击 Star,按钮变成 Starred 就成功了。
  5. 如果你使用 GitHub CLI,也可以运行:
gh repo star B1lli/remove-ai-flavor-writing-skill

常见问题

5 问
答案由本站依据条目字段整理
中文自然润色|保留原意|消除模板腔怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_2076bc83/zh-natural-polish。安装方式为未标注。装完刷新技能列表或重开客户端。

中文自然润色|保留原意|消除模板腔支持哪些客户端?

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。

中文自然润色|保留原意|消除模板腔权限高吗,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。

中文自然润色|保留原意|消除模板腔收费吗?

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。

中文自然润色|保留原意|消除模板腔用什么许可证?

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。