# Ju Mama

Use when analyzing e-commerce performance on Xiaohongshu, tracking live stream sales...

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

## Install

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

## Description

Use when analyzing e-commerce performance on Xiaohongshu, tracking live stream sales data, researching product trends, monitoring competitor shops, or optimizing e-commerce strategies with data insights

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

# Ju Mama (蝉妈妈)

## Overview

Ju Mama (蝉妈妈) is a comprehensive e-commerce analytics platform for Xiaohongshu and Douyin, providing live stream monitoring, product trend analysis, shop performance tracking, influencer commerce data, and competitive intelligence to help brands and sellers optimize their social commerce strategies.

## When to Use

**Use when**:
- Analyzing live stream sales performance
- Researching trending products and categories
- Monitoring competitor e-commerce strategies
- Tracking shop and product performance
- Identifying high-converting influencers
- Optimizing pricing and promotion strategies
- Planning inventory based on demand data

**Do NOT use when**:
- Not selling products on Xiaohongshu
- Just starting (need transaction data first)
- Focused purely on content (not commerce)
- Can't interpret sales metrics

## Core Pattern

**Before** (flying blind on e-commerce):
```
❌ "No idea which products sell best"
❌ "Guessing pricing strategies"
❌ "Blind to competitor moves"
❌ "Wasting ad spend on poor performers"
❌ "Stock outs or overstock situations"
```

**After** (data-driven commerce):
```
✅ "Know exactly what sells and why"
✅ "Optimal pricing based on market data"
✅ "Competitor strategies revealed"
✅ "Invest in high-ROI products only"
✅ "Inventory matches demand perfectly"
```

**5 Core Analytics Areas**:
1. **Live Stream Analytics** - Real-time sales tracking
2. **Product Trend Analysis** - Market demand insights
3. **Shop Performance** - E-commerce metrics
4. **Competitor Intelligence** - Market benchmarking
5. **Influencer Commerce** - Creator sales data

## Quick Reference

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