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stop-slop前后对比5大案例精讲AI写作与人类写作的差距一目了然【免费下载链接】stop-slopA skill file for removing AI tells from prose项目地址: https://gitcode.com/GitHub_Trending/st/stop-slop stop-slop 是一个免费的开源写作技能文件专门用来去除 AI 写作痕迹AI tells让大模型产出的文字读起来更像人写的。本文通过 5 个官方前后对比案例带你一眼看懂 AI 写作与人类写作的真实差距。一、stop-slop 是什么AI 写出的文章总有一股机器味套路化的开头、空洞的强调词、戏剧性的碎片句。stop-slop 把这些模式总结成了一套可执行的规则教给 Claude 或任意大模型去识别并删掉它们。整个项目结构非常简洁核心规则指令SKILL.md需要删除的短语清单references/phrases.md需要规避的句式结构references/structures.md前后对比案例库references/examples.md二、8 条核心规则速览在 SKILL.md 中作者给出了 8 条核心改写规则砍掉填充短语删掉清嗓式开头、强调拐杖词和所有副词打破套路结构避免二元对比、否定列举、戏剧性碎片句用主动语态每个句子都要有人在做某事要具体不用含糊判断句点名具体事物把读者拉进现场用你代替人们用具体细节代替抽象变化节奏长短句混用两项优于三项不用破折号信任读者直接陈述事实不铺垫、不解释砍掉金句读起来像引用卡的内容重写三、5 大前后对比案例精讲 ✨以下 5 个案例完整收录在 references/examples.md 中每个案例都清晰展示了从AI 味到人味的转变。案例 1清嗓式开头 二元对比BeforeAI 味Heres the thing: building products is hard. Not because the technology is complex. Because people are complex. Let that sink in.After人味Building products is hard. Technology is manageable. People arent.改了什么删掉了预告式开头 Heres the thing、二元对比结构 Not because X. Because Y. 和强调拐杖 Let that sink in全部改为直接陈述。案例 2填充词 多余的安慰BeforeAI 味It turns out that most teams struggle with alignment. The uncomfortable truth is that nobody wants to admit theyre confused. And thats okay.After人味Teams struggle with alignment. Nobody admits confusion.改了什么砍掉模糊限定词 most删掉清嗓短语 It turns out 和 The uncomfortable truth is最后那句许可式安慰And thats okay整个删除。案例 3商业黑话堆叠BeforeAI 味In todays fast-paced landscape, we need to lean into discomfort and navigate uncertainty with clarity. This matters because your competition isnt waiting.After人味Move faster. Your competition is.改了什么完全清除黑话。fast-paced landscape、lean into、navigate 这些 references/phrases.md 里列出的高频黑话全部消失核心信息 6 个词说完。案例 4戏剧性碎片句BeforeAI 味Speed. Quality. Cost. You can only pick two. Thats it. Thats the tradeoff.After人味Speed, quality, cost—pick two.改了什么一个完整句子搞定删掉 Thats it. Thats the tradeoff. 这种表演式的重复强调。详见 references/structures.md 中的 Dramatic Fragmentation 章节。案例 5修辞式铺垫BeforeAI 味What if I told you that the best teams dont optimize for productivity? Heres what I mean: they optimize for learning. Think about it.After人味The best teams optimize for learning, not productivity.改了什么删掉苏格拉底式提问 What if I told you、多余预告 Heres what I mean: 和居高临下的 Think about it直接给出观点。四、如何使用 stop-slop接入方式有 4 种按 README.md 的说明操作使用场景操作方式Claude Code将 stop-slop 文件夹添加为 skillClaude Projects上传 SKILL.md 和 references 文件到项目知识自定义指令复制 SKILL.md 中的核心规则API 调用将 SKILL.md 放入系统提示词参考文件按需加载五、5 维打分法不到 35 分就重写stop-slop 还内置了一套质量评分机制SKILL.md Scoring 章节每个维度按 1-10 分打分直接性是陈述还是预告节奏有变化还是机械重复信任尊重读者智商吗真实感听起来像人吗密度还有可删的内容吗总分低于 35/50打回重写。这套量化标准让去 AI 味从凭感觉变成了可验收的流程。六、总结stop-slop 的价值不在于改词而在于它揭示了 AI 写作的本质问题套路可预测、填充词泛滥、结构高度雷同。对照本文 5 个前后对比案例你也能快速建立自己的AI 味检测清单让每一篇 AI 辅助写作的文章都更接近人类的自然表达。【免费下载链接】stop-slopA skill file for removing AI tells from prose项目地址: https://gitcode.com/GitHub_Trending/st/stop-slop创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考 stop-slop前后对比5大案例精讲：AI写作与人类写作的差距一目了然
stop-slop前后对比5大案例精讲AI写作与人类写作的差距一目了然【免费下载链接】stop-slopA skill file for removing AI tells from prose项目地址: https://gitcode.com/GitHub_Trending/st/stop-slop stop-slop 是一个免费的开源写作技能文件专门用来去除 AI 写作痕迹AI tells让大模型产出的文字读起来更像人写的。本文通过 5 个官方前后对比案例带你一眼看懂 AI 写作与人类写作的真实差距。一、stop-slop 是什么AI 写出的文章总有一股机器味套路化的开头、空洞的强调词、戏剧性的碎片句。stop-slop 把这些模式总结成了一套可执行的规则教给 Claude 或任意大模型去识别并删掉它们。整个项目结构非常简洁核心规则指令SKILL.md需要删除的短语清单references/phrases.md需要规避的句式结构references/structures.md前后对比案例库references/examples.md二、8 条核心规则速览在 SKILL.md 中作者给出了 8 条核心改写规则砍掉填充短语删掉清嗓式开头、强调拐杖词和所有副词打破套路结构避免二元对比、否定列举、戏剧性碎片句用主动语态每个句子都要有人在做某事要具体不用含糊判断句点名具体事物把读者拉进现场用你代替人们用具体细节代替抽象变化节奏长短句混用两项优于三项不用破折号信任读者直接陈述事实不铺垫、不解释砍掉金句读起来像引用卡的内容重写三、5 大前后对比案例精讲 ✨以下 5 个案例完整收录在 references/examples.md 中每个案例都清晰展示了从AI 味到人味的转变。案例 1清嗓式开头 二元对比BeforeAI 味Heres the thing: building products is hard. Not because the technology is complex. Because people are complex. Let that sink in.After人味Building products is hard. Technology is manageable. People arent.改了什么删掉了预告式开头 Heres the thing、二元对比结构 Not because X. Because Y. 和强调拐杖 Let that sink in全部改为直接陈述。案例 2填充词 多余的安慰BeforeAI 味It turns out that most teams struggle with alignment. The uncomfortable truth is that nobody wants to admit theyre confused. And thats okay.After人味Teams struggle with alignment. Nobody admits confusion.改了什么砍掉模糊限定词 most删掉清嗓短语 It turns out 和 The uncomfortable truth is最后那句许可式安慰And thats okay整个删除。案例 3商业黑话堆叠BeforeAI 味In todays fast-paced landscape, we need to lean into discomfort and navigate uncertainty with clarity. This matters because your competition isnt waiting.After人味Move faster. Your competition is.改了什么完全清除黑话。fast-paced landscape、lean into、navigate 这些 references/phrases.md 里列出的高频黑话全部消失核心信息 6 个词说完。案例 4戏剧性碎片句BeforeAI 味Speed. Quality. Cost. You can only pick two. Thats it. Thats the tradeoff.After人味Speed, quality, cost—pick two.改了什么一个完整句子搞定删掉 Thats it. Thats the tradeoff. 这种表演式的重复强调。详见 references/structures.md 中的 Dramatic Fragmentation 章节。案例 5修辞式铺垫BeforeAI 味What if I told you that the best teams dont optimize for productivity? Heres what I mean: they optimize for learning. Think about it.After人味The best teams optimize for learning, not productivity.改了什么删掉苏格拉底式提问 What if I told you、多余预告 Heres what I mean: 和居高临下的 Think about it直接给出观点。四、如何使用 stop-slop接入方式有 4 种按 README.md 的说明操作使用场景操作方式Claude Code将 stop-slop 文件夹添加为 skillClaude Projects上传 SKILL.md 和 references 文件到项目知识自定义指令复制 SKILL.md 中的核心规则API 调用将 SKILL.md 放入系统提示词参考文件按需加载五、5 维打分法不到 35 分就重写stop-slop 还内置了一套质量评分机制SKILL.md Scoring 章节每个维度按 1-10 分打分直接性是陈述还是预告节奏有变化还是机械重复信任尊重读者智商吗真实感听起来像人吗密度还有可删的内容吗总分低于 35/50打回重写。这套量化标准让去 AI 味从凭感觉变成了可验收的流程。六、总结stop-slop 的价值不在于改词而在于它揭示了 AI 写作的本质问题套路可预测、填充词泛滥、结构高度雷同。对照本文 5 个前后对比案例你也能快速建立自己的AI 味检测清单让每一篇 AI 辅助写作的文章都更接近人类的自然表达。【免费下载链接】stop-slopA skill file for removing AI tells from prose项目地址: https://gitcode.com/GitHub_Trending/st/stop-slop创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考