Xinhong Data

If you're serious about Xiaohongshu analytics beyond basic follower counts, this gives you the deep data layer for strategic decisions. It's built for comprehensive account audits, tracking 90-day growth trajectories with velocity analysis, breaking down engagement quality beyond vanity metrics (comment depth, sentiment, save rates), and benchmarking against category averages. The content portfolio analysis alone categorizes your last 100 posts by type and format with performance matrices showing what actually drives saves versus shares. Not for quick daily checks or beginners who just need surface metrics. Use it when you need to justify budget, evaluate influencer partnerships, or build quarterly strategy with real comparative intelligence instead of guessing.

skills.sh installs: 273
GitHub stars: 539
last updated: Aug 21, 2026

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Install

$ npx -y skills add vivy-yi/xiaohongshu-skills --skill xinhong-data --agent claude-code

Installs into .claude/skills of the current project.

Files

Xinhong Data (新红数据)

Overview

Xinhong Data is a professional analytics platform specifically designed for Xiaohongshu, providing deep insights into account growth, content performance, influencer partnerships, industry trends, and competitive intelligence with granular data visualization and reporting capabilities for brands, agencies, and serious creators.

When to Use

Use when:

Conducting comprehensive account audits
Analyzing long-term growth trends
Researching influencer partnerships deeply
Monitoring industry and category trends
Evaluating content strategy effectiveness
Preparing detailed performance reports
Making data-driven strategic decisions

Do NOT use when:

Just starting with minimal data
Need quick daily checks (use basic analytics)
Want simple metrics (use built-in tools)
Cannot interpret complex data

Core Pattern

Before (surface-level analytics):

❌ "Basic metrics only (likes, followers)"
❌ "No trend analysis over time"
❌ "Shallow competitor insights"
❌ "Guessing content strategy"
❌ "Blind to industry shifts"

SKILL.md on GitHub