rfm-customer-segmentation

SKILL.md

A comprehensive customer segmentation skill that automatically analyzes e-commerce transaction data to identify customer value segments using RFM (Recency, Frequency, Monetary) analysis with K-means clustering.

Data Analysis When users provide e-commerce data or ask about customer segmentation:

Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support. Source: liangdabiao/claude-data-analysis-ultra-main.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/liangdabiao/claude-data-analysis-ultra-main --skill rfm-customer-segmentation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

View raw