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huitun-data

Analyze Xiaohongshu account performance, track content metrics, and research competitors.

363|65|Updated Jan 22, 2026
Search Tags:#content strategy#analytics#data analysis#trend analysis#xiaohongshu#competitor research
One-click install
npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill huitun-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: huitun-data
Source: https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/06-%E5%B7%A5%E5%85%B7%E7%94%9F%E6%80%81/huitun-data
Command: npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill huitun-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users overcome the challenge of making data-driven decisions on Xiaohongshu by providing comprehensive analytics for account performance, competitor research, and trend identification.

Core Features & Use Cases

  • Account Analysis: Track follower growth, engagement rates, and audience demographics to understand account health.
  • Competitor Research: Benchmark your performance against competitors and identify their successful strategies.
  • Trend Discovery: Find trending topics and hashtags to inform content creation.
  • Use Case: A brand manager wants to increase engagement on their Xiaohongshu account. They use this Skill to analyze their top-performing content, identify that educational carousels get the most saves, and then adjust their content plan to create more of this type of content, leading to a 50% increase in saves.

Quick Start

Use the huitun-data skill to analyze my account performance and identify the top 3 content themes driving engagement.

Frequently Asked Questions about huitun-data

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

FAQPage Schema
How do I analyze my Xiaohongshu account performance to improve content strategy?▼

Account analysis tracks follower growth, engagement rates, and audience demographics to evaluate account health, enabling data-driven content strategy optimization for better Xiaohongshu performance.

What is the best way to research competitors on Xiaohongshu?▼

Competitor research benchmarks your Xiaohongshu performance against competitors and identifies their successful content strategies, allowing you to adapt proven tactics to improve your own engagement metrics.

How do I identify trending topics and hashtags for Xiaohongshu content creation?▼

Trend discovery analyzes platform data to find trending topics and hashtags, informing your content creation process to capture current audience interest and drive higher engagement rates.

Can I use this to track engagement quality and audience demographics for my Xiaohongshu account?▼

Yes, it supports detailed breakdowns of engagement quality and audience demographics, helping you understand exactly who interacts with your content and how to tailor your strategy accordingly.

Does competitor benchmarking work for identifying successful content formats like educational carousels?▼

Competitor benchmarking identifies successful competitor strategies, including high-performing formats like educational carousels that receive the most saves, enabling you to adjust your content plan effectively.

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