What problem does it solve? Content creators on Xiaohongshu (RED) struggle to know which topics currently get traffic, which content formats the platform favors, and what to write next. This Skill turns keyword or niche queries into structured hotspot tables, trend analysis, and ready-to-write topic cards backed by real engagement data. ## Core Features & Use Cases - Multi-source data collection with automatic fallback: Queries the Redfox API (30-day database of 1000+ engagement notes with relevance/popularity/recency scores), socialdatax CLI, or Guaikei CLI, degrading gracefully to WebSearch when no API key is configured. - Six-dimension trend analysis: Breaks down top notes by content format, title hooks, account size, time distribution, and engagement structure (like/collect/comment ratios), plus viral pattern extraction with reusable/non-reusable/gap lists. - Offline comparison tooling: The compare_sets.py script normalizes saved JSON results for cross-niche or cross-time comparisons, computing medians, ratios, and high-frequency title words. - Use Case: A creator asks "Is the 'commute outfit' niche still hot on Xiaohongshu?" The Skill expands the query into 6-10 sub-keywords from its 24-sector word library, pulls recent high-engagement notes, and returns a trend report plus 3-5 topic cards ready to hand off to title-writing and content-writing skills. ## Quick Start Ask the AI to check what's trending on Xiaohongshu for a niche like "commute outfits" and get a hotspot table with topic suggestions.
