analyzing-viral-notes

Name: analyzing-viral-notes
Availability: InStock
Author: wensia

Analyze viral Xiaohongshu notes from Feishu Bitable via MCP and write insights back.

2|1|Updated Dec 30, 2025

Search Tags:#mcp #analyze #feishu #content-analysis #xiaohongshu #ai-analysis #viral-notes

Ready to run

npx skills add https://github.com/wensia/xiaohongshu-poster-generator --skill analyzing-viral-notes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyzing-viral-notes
Source: https://github.com/wensia/xiaohongshu-poster-generator/tree/main/skills/analyze-viral-notes
Command: npx skills add https://github.com/wensia/xiaohongshu-poster-generator --skill analyzing-viral-notes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps users understand why Xiaohongshu notes go viral by pulling full content via MCP from Feishu Bitable, then analyzing viral elements and summarizing actionable insights.

Core Features & Use Cases

Retrieve complete note content through MCP and Feishu Bitable
AI-driven analysis of titles, hooks, structure, emotional triggers and engagement signals
Write back insights and summaries to Feishu for collaboration and iteration

Quick Start

Trigger the analysis by selecting a Feishu Bitable record marked as viral and let the AI fetch content, analyze viral elements, and write results back to Feishu.

Frequently Asked Questions about analyzing-viral-notes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze viral Xiaohongshu notes stored in Feishu Bitable?▼

To analyze viral Xiaohongshu notes in Feishu Bitable, select the target record to trigger the AI. The system fetches full content via MCP, analyzes viral elements like titles and hooks, and writes insights back to Feishu.

What elements of Xiaohongshu notes can AI content analysis identify?▼

AI content analysis identifies recurring viral patterns in Xiaohongshu notes by evaluating titles, hooks, structural elements, emotional triggers, and engagement signals to summarize actionable insights.

Can I write AI analysis results back into Feishu Bitable automatically?▼

Yes, you can write AI analysis results back into Feishu Bitable. The workflow fetches note content via MCP, processes viral elements, and updates the Feishu record with summarized insights for team collaboration.

Does analyzing viral notes require MCP to fetch full content from Feishu?▼

Yes, MCP is required to fetch full content from Feishu Bitable. The analysis relies on MCP to retrieve complete Xiaohongshu note data before identifying viral patterns and writing insights back.

What is the best way to uncover viral patterns in Xiaohongshu content?▼

The best way to uncover viral patterns in Xiaohongshu content is using an end-to-end AI analysis workflow. It retrieves notes from Feishu Bitable via MCP, evaluates emotional triggers, and documents results.

Why use Feishu Bitable for storing and analyzing Xiaohongshu viral notes?▼

Using Feishu Bitable for analyzing Xiaohongshu viral notes centralizes content storage and AI insights. It enables automated content retrieval via MCP and seamless write-back of viral pattern analysis for iteration.