{"skill":{"slug":"customer-segment-eng","displayName":"customer-segment-eng","summary":"Analyze uploaded bank customer data to segment and profile customers by assets, transactions, and behavior, outputting clusters, statistics, and visual charts.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":86,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1776821740351,"updatedAt":1776821807616},"latestVersion":{"version":"1.0.0","createdAt":1776821740351,"changelog":"Customer Segmentation Skill v1.0.0\n\n- Automatically analyzes financial customer data upon CSV/Excel upload or user request (“analyze customers”, “customer segmentation”).\n- Performs data cleaning, missing value handling, and feature engineering (RFM model + extended attributes).\n- Applies K-Means clustering (auto K detection or fixed K=5) to generate customer segments.\n- Outputs segmentation labels, statistical summaries, and assigns five intuitive customer categories.\n- Produces key visualizations (histogram, radar chart, heatmap, scatter plot) and exports all results (tables, charts, Markdown reports) for easy sharing.\n- All major processing steps (cleaning, clustering, profiling, visualization, output) are automated for streamlined analysis.","license":"MIT-0"},"metadata":null,"owner":{"handle":"yukirang","userId":"s17ebzz3039ghna5c35head9w183jkz5","displayName":"yukirang","image":"https://avatars.githubusercontent.com/u/14137707?v=4"},"moderation":null}