AI-powered content analysis skill for WeChat, Xiaohongshu, blogs, and more. Analyze viral patterns, optimize content strategy with data-driven insights.
AI驱动的内容分析技能 - 帮助创作者深度分析内容质量、识别爆款模式、对标学习、制定增长策略
- 🔍 Content-First Analysis - Understand content first, then validate with data
- 🎯 Platform Agnostic - Works with WeChat, Xiaohongshu, Zhihu, blogs, and more
- 📊 Format Flexible - Supports JSON, Excel, Markdown, CSV, and more
- 🚀 Ready to Use - Complete 4-step framework + 3-module report templates
- 💡 Small Sample Friendly - Get insights with just 10-200 articles
# Install via npx
npx skills add https://github.com/linyuan3421/content-analysis-skillMinimum Requirements:
- Benchmark account data: 10-50 articles
- Your account data: 10-50 articles
- Core fields: title, content, read count
Supported Formats: JSON, Excel, Markdown, CSV
Please load the content-platform-analyzer skill and analyze my WeChat data: articles.json
Content Understanding → Data Validation → Benchmark Analysis → Recommendation Generation
- Content Understanding - Identify content types, viral patterns, topic analysis
- Data Validation - Verify pattern effectiveness, time trends, percentile analysis
- Benchmark Analysis - Compare gaps, identify strengths and weaknesses
- Recommendation Generation - Title/structure/technique/strategy optimization suggestions
- Module 1: In-depth analysis of benchmark account content
- Module 2: Quality diagnosis of your account content
- Module 3: Gap analysis and growth recommendations
- Core Dependencies: pandas, openpyxl (optional: matplotlib/plotly)
- NOT Required: Complex NLP models, machine learning, topic modeling
Why: For small samples, basic statistics + rule-based analysis is sufficient. The focus is on "understanding content."
content-platform-analyzer/
├── SKILL.md # Main skill file
├── references/ # Reference documentation
│ ├── report-templates.md
│ └── analysis-methods.md
├── assets/ # Asset files
│ └── qr-code.png # WeChat QR code
├── README.md # This file
└── LICENSE # MIT
- 🎯 WeChat Creators - Analyze viral articles, optimize content strategy
- 📱 Xiaohongshu Bloggers - Identify popular note patterns
- 🎓 Content Operations Teams - Benchmark learning, data-driven decisions
- 📊 Marketing Analysts - Social media analytics, trend analysis
Using this tool? Feel free to PR and add your case!
Generated analysis report example
(Add screenshot: assets/screenshot-report.png)
- 🔍 内容理解优先 - 先读懂内容，再用数据验证
- 🎯 平台无关 - 适用于公众号、小红书、知乎、博客等
- 📊 格式灵活 - 支持JSON、Excel、Markdown、CSV等
- 🚀 开箱即用 - 完整的4步分析框架 + 3模块报告模板
- 💡 小样本友好 - 10-200篇文章即可获得洞察
# 使用 npx 直接安装
npx skills add https://github.com/linyuan3421/content-analysis-skill最低要求：
- 对标账号数据：10-50篇
- 自己账号数据：10-50篇
- 核心字段：标题、内容、阅读量
数据格式：JSON、Excel、Markdown、CSV均可
请加载 content-platform-analyzer 技能，分析我的公众号数据：articles.json
内容理解 → 数据验证 → 对标分析 → 建议生成
- 内容理解 - 识别内容类型、爆款模式、主题分析
- 数据验证 - 验证模式有效性、时间趋势、分位数分析
- 对标分析 - 对比差距、识别优势劣势
- 建议生成 - 标题/结构/技巧/策略优化建议
- Module 1: 对标账号内容深度解构
- Module 2: 自己账号内容质量诊断
- Module 3: 差距分析与增长建议
- 核心依赖：pandas、openpyxl（可选matplotlib/plotly）
- 不需要：复杂NLP模型、机器学习、主题建模
原因：小样本用基础统计+规则分析即可，重点是"读懂内容"。
content-platform-analyzer/
├── SKILL.md # 技能主文件
├── references/ # 参考文档
│ ├── report-templates.md
│ └── analysis-methods.md
├── assets/ # 资源文件
│ └── qr-code.png # 公众号二维码
├── README.md # 本文件
└── LICENSE # MIT
- 🎯 公众号创作者 - 分析爆款文章，优化内容策略
- 📱 小红书博主 - 识别热门笔记模式
- 🎓 内容运营团队 - 对标学习，数据驱动决策
- 📊 市场营销人员 - 社交媒体分析，趋势洞察
正在使用？欢迎 PR 添加你的案例！
Aren
WeChat Official Account: 反时钟效率笔记
让思考慢下来，让效率快起来
Built for content creators who want to combine data-driven insights with creative excellence.
Special thanks to the open-source community for inspiration and tools.
If this project helps you, please give it a ⭐️!
如果这个项目对你有帮助，请给个 ⭐️ 支持！