content-topic-judgment
A decision framework for content operators that judges whether a topic is worth writing and in what priority, screening out weakly related or low-converting topics. Packaged as a skill for Claude Code and Cursor.
When you write Chinese content, this skill strips out the stock connecting phrases and textbook sentence patterns that make text read as machine-made, so your writing sounds like a person with a clear view talking through a subject.
Claude Code
$ npx -y skills add pencil20388-eng/stop-slop-zh --agent claude-code
Codex
$ npx skills add pencil20388-eng/stop-slop-zh -a codex
Cursor
$ npx skills add pencil20388-eng/stop-slop-zh -a cursor
Gemini CLI
$ npx skills add pencil20388-eng/stop-slop-zh -a gemini-cli
GitHub Copilot
$ npx skills add pencil20388-eng/stop-slop-zh -a github-copilot
OpenCode
$ npx skills add pencil20388-eng/stop-slop-zh -a opencode
Windsurf
$ npx skills add pencil20388-eng/stop-slop-zh -a windsurf
❌ Before
在当今数字化转型的时代,随着技术的不断进步,越来越多的企业开始关注自动化工具的应用。值得注意的是,这一趋势不仅仅是技术层面的变化,更是企业运营范式的根本性转变。综上所述,自动化已经成为不可忽视的战略方向。
✅ After
上周跟一个 200 人的电商团队聊,他们客服响应从 4 小时压到了 11 分钟。怎么做到的?就是把那些「物流到哪了」「怎么退货」这类重复问题丢给机器处理,人只管接疑难件。坦率的讲,这个速度很多同行还没反应过来。
English | 中文
AI 中文写作有固定套路:废话连接词、教科书结构、播音腔句式。这个 skill 教 AI 识别并消除这些痕迹,让输出读起来像一个有判断力的人在认真聊,而不是机器在输出信息。
灵感来自 hardikpandya/stop-slop(英文版,4k+ stars)。中文 AI 写作有完全不同的"AI 味"特征,所以需要一套独立的规则。
装上之后,你的 AI 写出来的中文会:
stop-slop-zh/
├── SKILL.md # 核心指令(装这个就够了)
├── references/
│ ├── banned-words.md # 禁用词完整清单
│ ├── banned-punctuation.md # 禁用标点规则
│ ├── banned-structures.md # 禁用结构模式
│ ├── recommended-phrases.md # 推荐口语化词组库
│ └── examples.md # 改前/改后对照
├── README.md
└── LICENSE
mkdir -p .claude/skills
git clone https://github.com/pencil20388-eng/stop-slop-zh.git .claude/skills/stop-slop-zh
上传 SKILL.md 和 references/ 文件夹到项目知识库。
把 SKILL.md 的内容复制到你的 system prompt 里。references 文件按需加载。
把 stop-slop-zh/ 文件夹复制到对应工具的 skills 目录。
装好之后直接用自然语言:
> 帮我写一篇关于 XX 的文章
> 检查这段文字的 AI 味,帮我改掉
> 用 stop-slop-zh 的规则重写这段话
> 跑一遍四层质检,给我质检报告
| stop-slop(英文) | stop-slop-zh(中文) | |
|---|---|---|
| 禁用词 | adverbs, throat-clearing, business jargon | 「综上所述」「值得注意的是」「本质上」等 |
| 禁用结构 | binary contrasts, dramatic fragmentation | 编号体、bullet point 罗列、大量加粗 |
| 标点规则 | 无特殊规则 | 禁用冒号、破折号、双引号 |
| 替代方案 | active voice, specifics | 口语化词组库(50+ 个推荐表达) |
| 质检体系 | 5 维度评分 | 四层自检(硬性规则→风格→内容→活人感) |
| 写作结构 | 无 | 完整的文章结构框架 |
由 AdsPower 指纹浏览器内容团队构建,我们每天用这套规则生产自己的中文内容。当然,根据不同的内容主题和目的,会再做进一步的细节微调。
⭐ 如果你也受不了 AI 中文写作的「AI 味」,给个 Star 吧。
Stop Slop ZH — A Claude Code skill that removes AI writing patterns from Chinese prose.
Chinese AI writing has its own distinct "AI smell": formulaic connectors, textbook structures, newsreader-style phrasing. This skill teaches AI to catch and eliminate these patterns, producing Chinese text that reads like a knowledgeable human having a real conversation.
Inspired by hardikpandya/stop-slop (English, 4k+ stars). Chinese AI writing has completely different telltale patterns, requiring an independent rule set.
mkdir -p .claude/skills
git clone https://github.com/pencil20388-eng/stop-slop-zh.git .claude/skills/stop-slop-zh
Compatible with Claude Code, Cursor, Codex CLI, Gemini CLI, and any agent supporting SKILL.md.
A decision framework for content operators that judges whether a topic is worth writing and in what priority, screening out weakly related or low-converting topics. Packaged as a skill for Claude Code and Cursor.
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When you write Chinese content, this skill strips out the stock connecting phrases and textbook sentence patterns that make text read as machine-made, so your writing sounds like a person with a clear view talking through a subject. Install it with the command on its page. It includes stop-slop-zh. Its skills do not fire on their own yet. Free and open source.
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