claude-data-analysis-ultra-main

🥈Silver

AI-powered data analysis for non-technical users. Enables internet, e-commerce, and other businesses to perform complex data analysis with simple commands. Connects to existing workflows and tools for user analysis, A/B testing, and more.

151230Updated Today

Intermediate30min to implementautomation

Saves ~90 min per use

Quick InstallView Source

git clone https://github.com/liangdabiao/claude-data-analysis-ultra-main.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/liangdabiao/claude-data-analysis-ultra-main

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm analyzing [DATA] for [COMPANY] in the [INDUSTRY] sector. I need to understand [SPECIFIC_METRIC_OR_KPI] trends over the last [TIME_PERIOD]. Please provide insights on [SPECIFIC_QUESTION_OR_FOCUS]. Use the /do-more command to perform deeper analysis.

Example Output

# Data Analysis Report for GreenTech Solutions

## Key Findings
- **User Retention**: Month-over-month retention rate improved by 12% after implementing the new onboarding flow.
- **Conversion Funnel**: Drop-off between cart and checkout increased by 8% during Q3, correlating with the holiday season.
- **A/B Test Results**: Variant B (simplified checkout) outperformed Variant A by 15% in conversion rate.

## Recommendations
1. Investigate the Q3 cart-to-checkout drop-off, particularly focusing on mobile users.
2. Expand Variant B of the checkout flow to all users.
3. Analyze user segments to identify which cohorts benefited most from the new onboarding flow.