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- Repository
- vivy-yi/xiaohongshu-skills520
- 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:
- Account Analysis - Comprehensive performance tracking
- Competitor Research - Spy on any account's strategy
- Trend Discovery - Hot topics, rising hashtags
- Content Analysis - Top-performing formats and styles
- Audience Insights - Detailed demographics and behavior
- Industry Benchmarks - Compare against category standards
