Skills

Qiangua Data

Use when analyzing Xiaohongshu account performance, researching competitor strategies...

Install

npx skills add vivy-yi/xiaohongshu-skills --skill qiangua-data -g -a claude-code -y
Category
Engineering
Updated
10mo ago
License
See repository
Context cost
Mediumabout 2,345 tokens
Runs scripts
No, instructions only

What it does

Use when analyzing Xiaohongshu account performance, researching competitor strategies, finding trending topics and hashtags, or needing detailed audience insights beyond platform-native analytics

Qiangua Data (千瓜数据)

Overview

Qiangua Data is a professional third-party analytics platform for Xiaohongshu, providing deep insights into account performance, competitor analysis, trending content, and audience demographics that go far beyond the platform's native analytics.

When to Use

Use when:

  • Need comprehensive account performance analysis
  • Researching competitor strategies and performance
  • Finding trending topics and hashtags in your niche
  • Analyzing audience demographics and behavior
  • Identifying top-performing content formats
  • Planning content strategy based on data

Do NOT use when:

  • Just need basic metrics (use Xiaohongshu Creator Center, free)
  • Need real-time monitoring during posting
  • Analyzing non-Xiaohongshu platforms

Core Pattern

Before (platform analytics only):

❌ Limited to native Creator Center data
❌ Can't see competitor performance
❌ No industry benchmarks or trends
❌ Basic metrics only

After (Qiangua insights):

✅ Deep competitor analysis (top posts, growth rates)
✅ Trending topics and hashtags in real-time
✅ Industry benchmarks and standards
✅ Advanced audience segmentation

6 Core Analytics Capabilities:

  1. Account Analysis - Comprehensive performance tracking
  2. Competitor Research - Spy on any account's strategy
  3. Trend Discovery - Hot topics, rising hashtags
  4. Content Analysis - Top-performing formats and styles
  5. Audience Insights - Detailed demographics and behavior
  6. Industry Benchmarks - Compare against category standards

Quick Reference

Read the whole SKILL.md on GitHub

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