Content Analytics
VerifiedContent Analytics — data & analytics tool.
$ Add to .claude/skills/ About This Skill
Content available in Chinese
# Content Analytics Skill
分析多平台内容表现数据,生成优化建议。
功能
- 掘金文章数据分析(阅读、点赞、评论、收藏)
- 小红书数据分析(曝光、互动、转化)
- 知乎数据分析(浏览、赞同、评论)
- 跨平台数据汇总对比
- AI 生成优化建议
使用方式
``` 分析我的掘金文章表现 ```
``` 帮我对比最近一周的小红书和知乎数据 ```
``` 给我内容优化建议 ```
配置
掘金(可选) ```json { "juejin": { "cookie": "your_juejin_cookie" } } ```
小红书(可选) ```json { "xiaohongshu": { "cookie": "your_xhs_cookie" } } ```
数据源
- 掘金创作者中心 API
- 小红书创作者中心
- 知乎创作中心
输出格式
``` 📊 内容表现分析报告
掘金(最近7天) - 文章数:5 - 总阅读:12,345 - 平均阅读:2,469 - 点赞率:3.2% - 收藏率:1.8%
优化建议 1. 标题优化:加入数字和疑问词可提升点击率 15% 2. 发布时间:周二/周四 20:00-22:00 流量最高 3. 内容方向:AI 赚钱类文章互动率最高
下周策略 - 重点:AI 工具对比类文章 - 发布时间:周二 21:00,周四 21:00 - 预期阅读:15,000-20,000 ```
技术栈
- Node.js / Python
- Playwright(网页抓取)
- GLM-5(AI 分析)
---
创建时间:2026-03-11
Use Cases
- Analyze article performance on Juejin including reads, likes, comments, and bookmarks
- Track Xiaohongshu content metrics like impressions, engagement, and conversion rates
- Compare content performance across Zhihu, Juejin, and Xiaohongshu simultaneously
- Generate AI-powered optimization suggestions based on content performance data
- Identify top-performing content themes and formats across Chinese social platforms
Pros & Cons
Pros
- +Multi-platform coverage across Juejin, Xiaohongshu, and Zhihu in one skill
- +AI-generated optimization suggestions go beyond raw data to actionable advice
- +Cross-platform comparison reveals which content works best on which platform
Cons
- -Documentation primarily in Chinese
- -Only available on claude-code and openclaw platforms
- -Platform-specific metrics depend on API access or scraping that may change
FAQ
What does Content Analytics do?
Content Analytics — data & analytics tool.
What platforms support Content Analytics?
Content Analytics is available on Claude Code, OpenClaw.
What are the use cases for Content Analytics?
Analyze article performance on Juejin including reads, likes, comments, and bookmarks. Track Xiaohongshu content metrics like impressions, engagement, and conversion rates. Compare content performance across Zhihu, Juejin, and Xiaohongshu simultaneously.
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