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alchaincyf avatar

Huashu Proofreading

alchaincyf/huashu-skills
813 installs1.4k stars
Summary

This is a three-pass proofreading system designed to strip AI-generated text of its telltale patterns and make it sound human. It targets six specific AI tells: filler phrases like "in today's era," repetitive sentence structures, overly formal vocabulary, mechanical formatting, fence-sitting neutrality, and vague abstractions without concrete details. The workflow is systematic: first pass checks facts and logic, second pass rewrites AI-sounding sentences into conversational Chinese, third pass polishes rhythm and formatting. It includes grep integration to pull real examples from a personal content library of social media posts. Aimed at Chinese content creators who need their AI-assisted writing to pass detection tools while maintaining authentic voice.

Install to Claude Code

npx -y skills add alchaincyf/huashu-skills --skill huashu-proofreading --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

AI味审校

系统化降低文章AI检测率,增加人味的三遍审校专业能力。

何时使用此Skill

当检测到以下场景时,自动加载此skill:

  • 用户说"审校一下"、"降低AI味"、"太AI了"
  • 初稿创作完成后
  • 用户提到"AI检测率高"、"没人味"
  • 文章需要最终polish

核心目标

  • 降低AI检测率:目标控制在30%以下
  • 增加人味:让文章有经验感、有温度、像真人在说话
  • 保持花生风格:实践导向、技术深度、易懂表达、有用可落地

三遍审校流程

第一遍:内容审校(逻辑、事实、结构)

目标:确保内容准确、逻辑清晰

检查项:

  • 事实准确?(数据、时间、产品名称)
  • 逻辑清晰?(前后无矛盾)
  • 结构合理?(无跑题)
  • 信息完整?(关键点都说了)
  • 无编造?(所有数据和案例都是真实的)

方法:

  • 从头到尾读一遍,标注疑问点
  • 搜索验证不确定的信息
  • 检查数字和专有名词的准确性

第二遍:风格审校(AI味降重)

目标:去掉AI味,增加人味

核心检查:6大类AI腔识别

1️⃣ 套话连篇

❌ AI常说:

  • "在当今时代"、"在...的大背景下"
  • "综上所述"、"总而言之"
  • "值得注意的是"、"需要强调的是"
  • "随着...的发展"、"伴随着..."

✅ 改写方向:直接切主题,不绕弯子

示例:

❌ "在当今AI技术飞速发展的时代,编程工具也在不断进化..."
✅ "Claude Code出了。我用了两周,确实比Cursor好用。"
2️⃣ AI句式(高频重复模板)

❌ AI常说:

  • "不是...而是..."(连续出现3次以上)
  • "不仅...而且..."(堆叠使用)
  • "一方面...另一方面..."
  • "既...又..."(过度使用)

✅ 改写方向:拆成短句,用多样化表达

示例:

❌ "Claude Code不是简单的工具,而是智能助手。它不仅能写代码,而且能理解意图。"
✅ "Claude Code不只是补全代码。它能理解你的意图,知道你想做什么。这个很关键。"
3️⃣ 书面词汇(距离感强)

❌ AI常说:

  • "显著提升"、"大幅改善"→ 用具体数字
  • "充分利用"→ "用好"
  • "进行操作"→ 直接用动词("点击"、"输入")
  • "实现功能"→ "做到"
  • "促进发展"→ "帮助..."

✅ 改写方向:口语化,具体化

示例:

❌ "通过充分利用Claude Code的能力,可以显著提升开发效率..."
✅ "用好Claude Code,你的开发速度能快不少。我测下来,平均每个项目省3-5小时。"
4️⃣ 结构机械(AI式列表癖)

❌ AI特征:

  • 过度使用"首先、其次、最后"
  • 无意义的小标题密集(每200字一个)
  • 能用散文讲清楚的,非要列表
  • "以下几点"、"主要体现在以下方面"

✅ 改写方向:自然叙事,列表适度

示例:

❌ "Claude Code的优势主要体现在以下几个方面:首先,它具有强大的上下文理解能力;其次,它支持多种编程语言;最后,它的响应速度很快。"

✅ "Claude Code最强的地方是什么?理解上下文。你让它改一个功能,它知道要动哪几个文件,不会漏掉。而且支持20多种语言,速度也很快。"
5️⃣ 态度中立(无立场无观点)

❌ AI特征:

  • 永远客观平衡:"既有优点也有缺点"
  • 不敢下判断:"具体取决于实际情况"
  • 每句话都加限定词:"可能"、"或许"、"在某些情况下"

✅ 改写方向:明确态度,敢下判断

示例:

❌ "Claude Code在某些场景下可能表现较好,但也存在一些局限性,具体效果取决于实际使用情况。"

✅ "Claude Code确实好用。处理大型项目时,比Cursor稳定多了。但价格贵,个人开发者可能扛不住。"
6️⃣ 细节缺失(抽象不落地)

❌ AI特征:

  • 大词多,具体细节少
  • "许多"、"一些"、"显著"、"大量"(不给数字)
  • 缺少真实感受和个人经历
  • 无时间线、无场景、无冲突

✅ 改写方向:加入真实细节、具体数字、个人经历

示例:

❌ "经过一段时间的使用,我发现Claude Code能够有效提升开发效率。"

✅ "用了两周。最明显的变化是,之前要3天的项目,现在1天半就能搞定。特别是重构老代码,Claude Code能一次性找出所有关联文件,不用我一个个翻。"

第二遍审校:具体方法

  1. 逐段检查,标注AI味表达
  2. 对照6大类AI腔清单改写
  3. 加入个人经历和真实细节(查个人素材库)
  4. 加入不确定性表达(适度使用"我觉得"、"可能"、"也许")
  5. 检查是否像花生在说话

常用改写技巧:

  • 长句拆短句(超过30字的拆成2-3句)
  • 抽象改具体("很多" → "3个","显著提升" → "省3-5小时")
  • 书面改口语("进行操作" → "点击")
  • 加入真实感受("我之前用的时候..."、"说实话...")

第三遍:细节打磨(标点、排版、节奏)

目标:让文章读起来舒服、自然

检查项:

  • 句子长度合适?(15-25字为主,不超过30字)
  • 段落不太长?(手机屏幕3-5行)
  • 标点自然?(多用句号,少用逗号连接长句)
  • 节奏有变化?(快慢结合)
  • 小标题不密集?(每300-500字一个)
  • 列表适度?(能用散文就不用列表)
  • 加粗适度?(每200-300字1-2处)

方法:

  • 大声朗读,感受节奏
  • 找出超过30字的长句,拆短
  • 检查段落长度,过长的分段
  • 调整排版,删除过度的格式化

最终检查

  • 从头到尾读一遍,卡顿的地方改写
  • 感觉像花生本人在说话
  • (可选)AI检测率低于30%

花生风格特征(必须保持)

  • 实践导向:有具体案例、可执行步骤
  • 技术深度 + 易懂表达:不掉书袋,但有深度
  • 有用可落地:读者看完能立刻行动
  • 人味浓:有经验感、有温度,避免AI腔
  • 数据真实:所有测试、案例都必须真实
  • 适度不确定性:该说"我觉得"就说,不假装全知

个人素材库使用

何时使用:

  • ✅ 文章需要真实案例支撑
  • ✅ 需要对工具/产品的真实评价
  • ✅ 需要个人经历作为开场白
  • ✅ 文章太"AI味",需要增加人味

快速使用流程:

方法A:直接搜索原始数据(推荐优先使用)

适用场景:新话题、未整理的主题、需要最原始的真实表达

使用Grep工具搜索 /写作参考/个人素材库/全部即刻动态.csv:

pattern: "关键词1|关键词2"
path: /Users/alchain/Documents/写作/写作参考/个人素材库/全部即刻动态.csv
output_mode: content
-n: true

示例:

  • 写高德扫街榜 → 搜索"高德|扫街榜"
  • 写AI编程工具 → 搜索"Cursor|Claude Code|Copilot"
  • 写产品增长 → 搜索"增长|转化|用户"

方法B:查看已提炼素材

适用场景:常见主题(AI编程工具、产品开发等)已有系统化整理

  1. 打开总索引:/写作参考/个人素材库/README.md
  2. 查找主题:打开 _即刻动态主题索引.md
  3. 选择素材:查看提炼文件(如AI编程工具使用心得.md)
  4. 改写使用:扩展成长文逻辑,保持真实态度

注意事项:

  • 所有素材都是真实的,不能编造或夸大
  • 注意时间跨度(2025.05-2025.10),避免过时信息
  • 必须改写成长文逻辑,不能直接复制粘贴

审校工具(可选)

自动检测工具

  • 关键词检测:搜索"在当今"、"综上所述"、"值得注意的是"等套话
  • 句长检查:标注超过30字的长句
  • AI检测:使用GPTZero、Originality.AI等工具(仅供参考)

手动检测方法

  • 大声朗读:卡顿的地方就是需要改的地方
  • 对比历史文章:和花生之前的优秀文章对比,看风格是否一致
  • 问自己:这句话花生会这么说吗?

常见错误与改写示例

错误1:开头绕圈子

❌ "在当今AI技术飞速发展的背景下,编程工具领域也迎来了新的变革。作为一款新兴的AI编程助手,Claude Code正在受到越来越多开发者的关注..."

✅ "Claude Code出了。我用了两周,确实比Cursor好用。今天聊聊为什么。"

错误2:过度使用AI句式

❌ "Claude Code不是简单的代码补全工具,而是一个智能编程助手。它不仅能够生成代码,而且能够理解开发者的意图。"

✅ "Claude Code不只是补全代码。它能理解你想干嘛。比如你说'重构这个模块',它就知道该怎么做。"

错误3:缺少具体细节

❌ "经过一段时间的测试,我发现Claude Code在很多方面都表现优秀。"

✅ "用了两周。最明显的变化是,之前要3天的项目,现在1天半就能搞定。"

错误4:态度过于中立

❌ "Claude Code有其优势,也存在一些不足,具体是否适合使用需要根据实际情况判断。"

✅ "Claude Code确实好用。但价格贵,个人开发者可能扛不住。如果你公司报销,强烈推荐。"

参考资源

  • /写作参考/AI味审校指南.md - 完整的审校指南(包含更多示例)
  • /写作参考/个人素材库/README.md - 个人素材库总索引
  • /写作参考/个人素材库/全部即刻动态.csv - 原始素材数据
  • /写作参考/个人素材库/_即刻动态使用规范.md - 素材使用规范

成功案例

  • 《为什么最好的内容都是无用的》:经过三遍审校,AI检测率降至28%
  • 《一个月烧几十亿tokens的团队,是怎么用Claude Code的》:加入大量真实案例,人味浓厚

最后更新: 2025-11-07 适用项目: 公众号写作、视频脚本 维护者: 花生


花叔出品 | AI Native Coder · 独立开发者 公众号「花叔」| 30万+粉丝 | AI工具与效率提升 代表作:小猫补光灯(AppStore付费榜Top1)·《一本书玩转DeepSeek》

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