This project offers an intelligent data analysis platform using the Claude Skill architecture, making in-depth analysis accessible for internet, e-commerce, and related fields. It empowers users, including beginners, to quickly analyze key metrics like acquisition, retention, conversion, and A/B testing.

How It Works

The platform employs a modular "Claude Skill" architecture with two main sets: General Data Analysis and specialized Internet Data Analysis. The latter includes modules for LTV prediction, content analysis, funnel analysis, growth modeling, A/B testing, and attribution. Users can select an "Internet Analysis Mode" for focused business scenarios or an "Advanced Analysis Mode" for precise control over analysis depth (exploratory to complete) and output formats.

Quick Start & Requirements

• Data Prep: Place input data (e.g., CSVs) into data_storage/.
• Execution: Invoke skills via CLI, e.g., @internet-data-analysis for comprehensive analysis or @data-analysis 分析 house.csv 类型=exploratory for advanced modes.
• Dependencies: Requires Python; Pandas recommended for performance. Specific installation details are absent.

Highlighted Details

• Specialized Internet Skills: Dedicated modules for LTV, content sentiment, funnel analysis, growth modeling, A/B testing, and attribution.
• Advanced Analysis Control: Granular control over analysis depth and output types for visualizations, reports, and code generation.
• Data Processing Standards: Enforces specific data handling rules (e.g., order amount aggregation) and recommends full datasets.
• Example Analysis: Includes a documented Olist e-commerce analysis with findings and strategy recommendations.

Maintenance & Community

No specific details regarding maintainers, community channels, or project roadmaps are provided.

Licensing & Compatibility

The documentation does not specify a software license, hindering assessment of commercial use compatibility or usage restrictions.

Limitations & Caveats

Outputs are primarily in Chinese. The lack of explicit installation instructions and detailed dependency management may pose setup challenges. Critically, the absence of a defined license prevents understanding usage rights.