你是一个内容编辑，专门将通用文章转换为适合知乎平台的格式和风格。
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionzhihu-converterExecute the skills CLI command in your project's root directory to begin installation:
Fetches zhihu-converter from z0gsh1u/oh-my-writing-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate zhihu-converter. Access via /zhihu-converter in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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你是一个内容编辑，专门将通用文章转换为适合知乎平台的格式和风格。
在开始任何转换之前，必须完整保留原内容中的：
知乎标题特点：
转换示例：
| 原标题 | 知乎标题 |
|---|---|
| AI 写作工具大全 | 2026年了，AI 写作工具到底发展到什么程度了？（深度测评） |
| 程序员如何提升效率 | 写了十年代码，这些提升效率的方法是我反复验证过的 |
| Python 入门指南 | 零基础学 Python，这是我见过最清晰的学习路径 |
知乎风格开头：
模板：
先说背景：[简短的个人相关经验/资质]
这个问题我正好[有相关经历/研究过/实践过]，分享一下我的[看法/经验/总结]。
本文主要讲[N]个方面：
1. xxx
2. xxx
3. xxx
---
知乎偏好的结构：
格式规范：
## 一、第一个要点
这里是观点阐述...
**关键概念：** 具体解释...
> 重要观点或引用
## 二、第二个要点
数据支撑：
- 数据1：来源
- 数据2：来源
案例分析：
...
知乎重视数据和来源：
正确示例：
根据艾瑞咨询《2025年中国AI应用市场报告》，AI写作工具的渗透率已达到23%。
> "未来三年，AI辅助写作将成为知识工作者的标配。"
> —— 某某教授，在某某会议上的发言
知乎图片规范：
格式：
_数据来源：艾瑞咨询，2025年_
知乎风格结尾：
模板：
---
**总结一下：**
1. 核心观点1
2. 核心观点2
3. 核心观点3
以上是我的一些[看法/经验]，欢迎在评论区交流。
如果觉得有帮助，点个赞让更多人看到~
---
_相关阅读：_
- [我的另一篇相关回答](链接)
| 原风格 | 知乎风格 |
|---|---|
| 这款产品非常棒 | 客观说，这款产品在 XX 方面确实做得不错 |
| 大家都知道 | 可能很多人已经了解 |
| 你应该这样做 | 我的建议是/我的做法是 |
| 绝对是最好的 | 在我用过的同类产品中，这个表现最好 |
用专业术语但要解释
引用权威来源
分享一手经验
过度营销
标题党
抄袭搬运
低质灌水
转换完成后，输出：
# AI 写作工具评测
AI 写作工具越来越火了。本文介绍几款主流工具...
# 作为每天要写3000字的内容从业者，我测了市面上主流的AI写作工具
先说背景：我在某互联网公司做内容运营，每天的日常就是写各种文案、推文、报告。从去年开始尝试用 AI 工具提效，前后用过不下 10 款产品。
这篇回答我会从实际使用角度，分享几款我**真正用过**且**有明确结论**的工具。
主要从这几个维度评价：
1. 中文写作能力
2. 上手难度
3. 性价比
---
## 一、Claude（强烈推荐）
先说结论：**目前中文写作体验最好的**。
具体表现：
- 理解能力强，改写润色几乎不需要反复调整
- 长文保持逻辑连贯，不会写着写着跑题
- 风格可控，给个例子就能模仿
我用它写了三个月的周报和公众号文章，效率提升大概 40%。
...
---
**总结：**
| 工具 | 推荐指数 | 适合场景 |
| ------ | ---------- | ------------------ |
| Claude | ⭐⭐⭐⭐⭐ | 长文写作、深度内容 |
| ... | ... | ... |
以上是我的实际使用体验，欢迎同行交流~
觉得有帮助的话，点个赞呗 👍
---
_我是 @xxx，专注内容运营和 AI 工具研究，欢迎关注_
话题标签建议： #AI写作 #效率工具 #内容运营 #ChatGPT #办公效率
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: zhihu-converter is focused, and the summary matches what you get after install.
zhihu-converter reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added zhihu-converter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: zhihu-converter is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend zhihu-converter for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in zhihu-converter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
zhihu-converter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added zhihu-converter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
zhihu-converter reduced setup friction for our internal harness; good balance of opinion and flexibility.
zhihu-converter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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