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AI味审校

AI Flavor Proofreading

系统化降低文章AI检测率，增加人味的三遍审校专业能力。
A professional three-pass proofreading capability that systematically reduces the AI detection rate of articles and adds a human touch.

何时使用此Skill

When to Use This 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
Automatically load this skill when the following scenarios are detected:
  • User says "proofread this", "reduce AI flavor", "too AI-like"
  • After the first draft is completed
  • User mentions "high AI detection rate", "lack of human touch"
  • The article needs final polish

核心目标

Core Objectives

  • 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
  • Reduce AI Detection Rate: Target to keep it below 30%
  • Add Human Touch: Make the article experienced, warm, and sound like a real person speaking
  • Maintain Peanut Style: Practice-oriented, technically in-depth, easy to understand, practical and actionable

三遍审校流程

Three-Pass Proofreading Process

第一遍：内容审校（逻辑、事实、结构）

Pass 1: Content Proofreading (Logic, Facts, Structure)

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
Objective: Ensure content accuracy and clear logic
Checklist:
  • Are facts accurate? (Data, time, product names)
  • Is logic clear? (No contradictions before and after)
  • Is structure reasonable? (No off-topic content)
  • Is information complete? (All key points are covered)
  • No fabrication? (All data and cases are real)
Methods:
  • Read through the entire text and mark questionable points
  • Search to verify uncertain information
  • Check the accuracy of numbers and proper nouns

第二遍：风格审校（AI味降重）

Pass 2: Style Proofreading (AI Flavor Reduction)

目标：去掉AI味，增加人味
核心检查：6大类AI腔识别
Objective: Eliminate AI flavor and add human touch
Core Check: 6 Categories of AI Jargon Identification

1️⃣ 套话连篇

1️⃣ Clichéd Phrases

❌ 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。"
❌ AI often says:
  • "In today's era", "Against the backdrop of..."
  • "In summary", "All in all"
  • "It is worth noting that", "It should be emphasized that"
  • "With the development of...", "Along with..."
✅ Rewriting Direction: Get straight to the point, no detours
Example:
❌ "In today's era of rapid AI technology development, programming tools are constantly evolving..."
✅ "Claude Code is out. I've used it for two weeks, and it's definitely better than Cursor."

2️⃣ AI句式（高频重复模板）

2️⃣ AI Sentence Patterns (High-Frequency Repetitive Templates)

❌ 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。"
❌ AI often says:
  • "Not...but..." (used more than 3 times consecutively)
  • "Not only...but also..." (stacked use)
  • "On one hand...on the other hand..."
  • "Both...and..." (overused)
✅ Rewriting Direction: Split into short sentences, use diverse expressions
Example:
❌ "Claude Code is not just a simple tool, but an intelligent assistant. It can not only write code, but also understand intentions."
✅ "Claude Code is more than just code completion. It understands your intentions and knows what you want to do. That's the key."

3️⃣ 书面词汇（距离感强）

3️⃣ Formal Vocabulary (Strong Sense of Distance)

❌ 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。"
❌ AI often says:
  • "Significantly improve", "Greatly enhance" → Use specific numbers
  • "Make full use of" → "Make good use of"
  • "Perform operations" → Use verbs directly ("click", "input")
  • "Realize functions" → "Achieve"
  • "Promote development" → "Help..."
✅ Rewriting Direction: Colloquial and specific
Example:
❌ "By making full use of Claude Code's capabilities, you can significantly improve development efficiency..."
✅ "Make good use of Claude Code, and your development speed can be much faster. From my tests, it saves 3-5 hours per project on average."

4️⃣ 结构机械（AI式列表癖）

4️⃣ Mechanical Structure (AI's Obsession with Lists)

❌ 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。"
❌ AI Characteristics:
  • Overuse of "First, Second, Finally"
  • Dense meaningless subheadings (one every 200 words)
  • Insisting on using lists when prose can clearly explain
  • "The following points", "Mainly reflected in the following aspects"
✅ Rewriting Direction: Natural narration, moderate use of lists
Example:
❌ "The advantages of Claude Code are mainly reflected in the following aspects: First, it has strong context understanding ability; Second, it supports multiple programming languages; Finally, its response speed is fast."

✅ "What's the strongest part of Claude Code? Context understanding. If you ask it to modify a feature, it knows which files to touch and won't miss anything. It also supports over 20 languages, and the speed is fast."

5️⃣ 态度中立（无立场无观点）

5️⃣ Neutral Attitude (No Stance or Opinion)

❌ 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。"
❌ AI Characteristics:
  • Always objectively balanced: "Has both advantages and disadvantages"
  • Afraid to make judgments: "Depends on the actual situation"
  • Adds qualifiers to every sentence: "May", "Perhaps", "In some cases"
✅ Rewriting Direction: Clear stance, dare to make judgments
Example:
❌ "Claude Code may perform well in some scenarios, but it also has some limitations. The specific effect depends on the actual usage situation."

✅ "Claude Code is really good. It's much more stable than Cursor when handling large projects. But it's expensive, and individual developers may not afford it."

6️⃣ 细节缺失（抽象不落地）

6️⃣ Lack of Details (Abstract and Not Actionable)

❌ 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。"
❌ AI Characteristics:
  • Many big words, few specific details
  • "Many", "Some", "Significant", "A large number" (no numbers provided)
  • Lack of real feelings and personal experiences
  • No timeline, no scenarios, no conflicts
✅ Rewriting Direction: Add real details, specific numbers, and personal experiences
Example:
❌ "After using it for a period of time, I found that Claude Code can effectively improve development efficiency."

✅ "I've used it for two weeks. The most obvious change is that a project that used to take 3 days can now be done in 1.5 days. Especially when refactoring old code, Claude Code can find all related files at once, so I don't have to go through them one by one."

第二遍审校：具体方法

Pass 2: Specific Methods

  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..."）
  1. Check paragraph by paragraph, mark AI-flavored expressions
  2. Rewrite against the 6 categories of AI jargon list
  3. Add personal experiences and real details (check personal material library)
  4. Add uncertain expressions (moderately use "I think", "may", "perhaps")
  5. Check if it sounds like Peanut speaking
Common Rewriting Techniques:
  • Split long sentences into short ones (split sentences over 30 words into 2-3 sentences)
  • Change abstract to specific ("many" → "3", "significantly improve" → "save 3-5 hours")
  • Change formal to colloquial ("perform operations" → "click")
  • Add real feelings ("When I used it before...", "To be honest...")

第三遍：细节打磨（标点、排版、节奏）

Pass 3: Detail Polishing (Punctuation, Formatting, Rhythm)

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
Objective: Make the article comfortable and natural to read
Checklist:
  • Are sentence lengths appropriate? (15-25 words mainly, no more than 30 words)
  • Are paragraphs not too long? (3-5 lines on mobile screen)
  • Is punctuation natural? (Use more periods, fewer commas to connect long sentences)
  • Is there rhythm variation? (Combine fast and slow pacing)
  • Are subheadings not too dense? (One every 300-500 words)
  • Are lists used moderately? (Use prose instead of lists when possible)
  • Is bolding used moderately? (1-2 times every 200-300 words)
Methods:
  • Read aloud to feel the rhythm
  • Identify long sentences over 30 words and split them
  • Check paragraph length, split overly long paragraphs
  • Adjust formatting, remove excessive formatting

最终检查

Final Check

  • 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%
  • Read through the entire text, rewrite awkward parts
  • It sounds like Peanut himself speaking
  • (Optional) AI detection rate is below 30%

花生风格特征（必须保持）

Peanut Style Characteristics (Must Maintain)

  • 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
  • Practice-oriented: With specific cases and executable steps
  • Technical depth + easy to understand: No jargon, but in-depth
  • Practical and actionable: Readers can take immediate action after reading
  • Strong human touch: Experienced, warm, avoid AI jargon
  • Real data: All tests and cases must be real
  • Moderate uncertainty: Say "I think" when appropriate, don't pretend to know everything

个人素材库使用

Personal Material Library Usage

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：
When to Use:
  • ✅ The article needs real case support
  • ✅ Needs real evaluation of tools/products
  • ✅ Needs personal experience as an opening
  • ✅ The article is too "AI-flavored" and needs to add human touch
Quick Usage Process:

方法A：直接搜索原始数据（推荐优先使用）

Method A: Directly Search Original Data (Recommended Priority)

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"
Applicable Scenarios: New topics, unorganized themes, need the most original real expressions
Use the Grep tool to search 
/写作参考/个人素材库/全部即刻动态.csv
:
pattern: "keyword1|keyword2"
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
Example:
  • Writing about Amap Street Sweeping List → Search "Amap|Street Sweeping List"
  • Writing about AI programming tools → Search "Cursor|Claude Code|Copilot"
  • Writing about product growth → Search "Growth|Conversion|Users"

方法B：查看已提炼素材

Method B: View Refined Materials

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
Applicable Scenarios: Common themes (AI programming tools, product development, etc.) have systematic organization
  1. Open the general index: 
    /写作参考/个人素材库/README.md
  2. Find the theme: Open 
    _即刻动态主题索引.md
  3. Select materials: View refined files (e.g., 
    AI编程工具使用心得.md
    )
  4. Rewrite and use: Expand into long-text logic, maintain real attitude
Notes:
  • All materials are real, cannot be fabricated or exaggerated
  • Pay attention to the time span (2025.05-2025.10), avoid outdated information
  • Must rewrite into long-text logic, cannot directly copy and paste

审校工具（可选）

Proofreading Tools (Optional)

自动检测工具

Automatic Detection Tools

  • 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）
  • Keyword Detection: Search for clichés like "In today's", "In summary", "It is worth noting that"
  • Sentence Length Check: Mark sentences over 30 words
  • AI Detection: Use tools like GPTZero, Originality.AI (for reference only)

手动检测方法

Manual Detection Methods

  • 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？
  • Read aloud: Awkward parts need revision
  • Compare with historical articles: Check if the style is consistent with Peanut's previous excellent articles
  • Ask yourself: Would Peanut say this?

常见错误与改写示例

Common Mistakes and Rewriting Examples

错误1：开头绕圈子

Mistake 1: Circumlocutory Opening

❌ "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。"
❌ "Against the backdrop of rapid AI technology development, the programming tool field is also ushering in new changes. As an emerging AI programming assistant, Claude Code is receiving increasing attention from developers..."

✅ "Claude Code is out. I've used it for two weeks, and it's definitely better than Cursor. Let's talk about why today."

错误2：过度使用AI句式

Mistake 2: Overuse of AI Sentence Patterns

❌ "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。"
❌ "Claude Code is not just a simple code completion tool, but an intelligent programming assistant. It can not only generate code, but also understand developers' intentions."

✅ "Claude Code is more than just code completion. It understands what you want to do. For example, if you say 'refactor this module', it knows how to do it."

错误3：缺少具体细节

Mistake 3: Lack of Specific Details

❌ "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。"
❌ "After a period of testing, I found that Claude Code performs well in many aspects."

✅ "I've used it for two weeks. The most obvious change is that a project that used to take 3 days can now be done in 1.5 days."

错误4：态度过于中立

Mistake 4: Overly Neutral Attitude

❌ "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。"
❌ "Claude Code has its advantages and also some shortcomings. Whether it is suitable for use depends on the actual situation."

✅ "Claude Code is really good. But it's expensive, and individual developers may not afford it. If your company reimburses it, highly recommended."

参考资源

Reference Resources

  • /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
  • /写作参考/AI味审校指南.md
    - Complete proofreading guide (includes more examples)
  • /写作参考/个人素材库/README.md
    - Personal material library general index
  • /写作参考/个人素材库/全部即刻动态.csv
    - Original material data
  • /写作参考/个人素材库/_即刻动态使用规范.md
    - Material usage specifications

成功案例

Success Cases

  • 《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
  • 《Why the Best Content is Useless》: After three-pass proofreading, AI detection rate dropped to 28%
  • 《A Team Burning Billions of Tokens a Month: How They Use Claude Code》: Added a large number of real cases, strong human touch
Last Updated: 2025-11-07 Applicable Projects: Official account writing, video scripts Maintainer: Peanut