# Xinhong Data

Use when conducting deep analytics on Xiaohongshu accounts, tracking content...

- Repository: https://github.com/vivy-yi/xiaohongshu-skills (520 stars)
- Category: Marketing
- License: see repository
- Last updated: 2026-01-23
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add vivy-yi/xiaohongshu-skills --skill xinhong-data -g -a claude-code -y`
Codex: `npx skills add vivy-yi/xiaohongshu-skills --skill xinhong-data -g -a codex -y`
Cursor: `npx skills add vivy-yi/xiaohongshu-skills --skill xinhong-data -g -a cursor -y`
Gemini CLI: `npx skills add vivy-yi/xiaohongshu-skills --skill xinhong-data -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add vivy-yi/xiaohongshu-skills`

## Description

Use when conducting deep analytics on Xiaohongshu accounts, tracking content performance trends, researching influencer data, monitoring category growth, or making strategic decisions with comprehensive social media analytics

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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"
```

**After** (deep data intelligence):
```
✅ "Complete account health dashboard"
✅ "Trend analysis with actionable insights"
✅ "Deep competitor benchmarking"
✅ "Data-driven content optimization"
✅ "Industry trend forecasting"
```

**5 Analytics Dimensions**:
1. **Account Growth Analysis** - Comprehensive growth tracking
2. **Content Performance Deep Dive** - Detailed content metrics
3. **Audience Insights** - Demographics and behavior
4. **Competitor Benchmarking** - Strategic comparison
5. **Industry Trend Analysis** - Market intelligence

## Quick Reference

The rest: https://github.com/vivy-yi/xiaohongshu-skills/blob/HEAD/skills/06-工具生态/xinhong-data/SKILL.md