$22
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwrite-xiaohongshuExecute the skills CLI command in your project's root directory to begin installation:
Fetches write-xiaohongshu from adjfks/corner-skills 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 write-xiaohongshu. Access via /write-xiaohongshu 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.
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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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Run in your terminal
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当用户给你一个主题时，直接按"步骤 0→7"跑完整流程；最终只输出：
计数口径：按“字符”计数（包含空格、标点、换行、#话题 等）。为稳妥：标题尽量≤18，正文尽量≤950，留给标签/格式余量。
本 skill 的输出分三段段：
标题：<不超过20字符>
正文：
<不超过1000字符>
标签：#标签1 #标签2 #标签3 ...
配图：<1~2张，9:16优先；给出图片URL或本地路径>
如果发布接口支持“标签单独字段”，则正文里不要堆 #标签，把标签放到发布参数里；最终仍需保证正文自身≤1000。
flowchart TD
A[检查登录状态] --> B[小红书找Top10图文]
B --> C[拆标题&正文规律 + 点赞高原因]
C --> D[抓评论并分析情绪共鸣点]
D --> E[Firecrawl补背景&事实校验]
E --> F[写标题/正文/标签 + 字数自检]
F --> G{用户是否提供图片?}
G -- 是 --> H[用用户图片]
G -- 否 --> I[网上找1~2张高清9:16图]
H --> J[展示内容给用户确认]
I --> J
J --> K{用户确认?}
K -- 确认 --> L[用小红书MCP发布]
K -- 需修改 --> F
先调用小红书mcp检查登录态，未登录要获取二维码给用户登录。
目标：先找“同类内容里最受欢迎的写法”，再动笔。
要求：
对每条 Top 帖子记录这些字段（用于后续分析）：
输出一个“规律总结”（写作可直接复用）：
目标：找出观众为什么会“想留言/想转发/想收藏”，总结出3-6个共鸣点结论，1个互动设计建议。
做法：
输出：
当你完成步骤 1+2（且满足"可用样本>=10"）后，必须先按下面结构输出一份总结报告（内容风格/颗粒度参考用户给的示例），然后在同一轮输出里自动继续步骤 3→7。
如果没满足样本门槛：按步骤 1 的硬性门槛要求直接停止，不要进入步骤 2/3/4/5/6/7，也不要编造报告。
报告模板：
【分析总结报告】
评论数/互动量排名（从高到低）
1. <标题> - <评论数>（<图文/视频>）
2. ...
...
10. ...
11. ...
标题规律分析
- <规律1>
- <规律2>
- <规律3>
...
内容规律分析
- <规律1>
- <规律2>
...
封面规律分析
- <规律1>
- <规律2>
...
总结
爆款三要素：
1. <要素1>
2. <要素2>
3. <要素3>
互动催化剂：
- <催化剂1>
- <催化剂2>
...
目标：避免内容空、避免错误/夸大，补齐“可信信息”。
做法：
输出一个“背景知识卡片”：
写作要求（偏小红书、但别装）：
字数闸口（必须最后做）：
要求：
目标：在发布前让用户确认内容，确保符合预期。
必须执行：
完成步骤 4+5 后，必须先展示完整内容给用户确认，格式如下：
【待发布内容预览】
标题：<标题内容>（<字符数>/20）
正文：
<正文内容>
（<字符数>/1000）
标签：#标签1 #标签2 #标签3 ...
配图：
- 图片1：<URL或路径>
- 图片2：<URL或路径>（如有）
---
请确认：
- 输入"确认"或"发布"：将进入发布流程
- 输入"修改"或具体修改意见：将根据您的意见调整内容
- 输入"取消"：终止发布流程
等待用户确认：
注意：在用户明确确认之前，不得自动进入发布步骤。
发布时（按 MCP 能力适配，能做到多少做多少）：
发布成功后输出：
如果当前环境没有 Firecrawl MCP 或小红书 MCP：
用户输入：
写一篇小红书图文：主题是“上班族快速晚餐”，适合一个人，预算 20 元以内。
你要做：
用户输入：
我有5张竖图（9:16），帮我写一篇小红书，主题是“新手化妆避坑”，偏温柔口吻。
你要做：
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.
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mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
write-xiaohongshu has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for write-xiaohongshu matched our evaluation — installs cleanly and behaves as described in the markdown.
write-xiaohongshu fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
write-xiaohongshu reduced setup friction for our internal harness; good balance of opinion and flexibility.
write-xiaohongshu fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in write-xiaohongshu — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
write-xiaohongshu has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend write-xiaohongshu for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: write-xiaohongshu is focused, and the summary matches what you get after install.
Useful defaults in write-xiaohongshu — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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