claude-data-analysis-ultra-main
E-commerce analytics, LTV prediction, attribution, and funnel analysis
All Skills in This Repository (11)
Pure Emerald Level Indicatorsltv-predictor
Predict customer lifetime value from order data using RFM features.
funnel-analysis
Analyze multi-step funnels to compute conversion rates and identify bottlenecks.
content-analysis
Extract sentiment, topics, keywords, and insights from text content.
recommender-system
Analyze user behavior data to train recommender models and generate top-K recommendations.
retention-analysis
Diagnose churn risk and retention gaps in subscription data.
ab-testing-analyzer
Analyze AB test data to compute conversion rates and statistical significance.
growth-model-analyzer
Evaluate growth experiments and campaigns using statistical tests and uplift modeling.
attribution-analysis-modeling
Compute multi-touch attribution using Markov chains and Shapley values.
data-exploration-visualization
Automate data exploration, quality diagnostics, and visualization report generation.
rfm-customer-segmentation
Analyzes CSV transaction data to compute RFM metrics and segment customers via K-means clustering with Chinese-language support.
regression-analysis-modeling
Automate regression analysis and predictive modeling for continuous targets.
Frequently Asked Questions
FAQPage SchemaHow to install claude-data-analysis-ultra?▼
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --all -g -y` in your terminal to install all analysis skills globally.
How to analyze e-commerce data with this suite?▼
Place your CSV files in the data_storage folder and ask for a full analysis. The entry skill coordinates funnel analysis, LTV prediction, content analysis, and growth modeling automatically.
Can it predict customer lifetime value?▼
Yes. The ltv-predictor skill builds RFM features from your order history and trains regression models to forecast each customer's future value.
Does it support marketing attribution analysis?▼
Yes. It supports Markov chain, Shapley value, first-touch, last-touch, and linear attribution models to measure channel ROI and optimize budgets.
Can non-coders use these analysis skills?▼
Yes. You describe the analysis you want in plain language, and the agent handles data processing, statistics, charts, and report writing for you.
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