Data-Verse-UI
🥇GoldData-Verse is an advanced AI data analysis agent that automates the entire data workflow, from ingestion to visualization, offering a robust alternative to traditional analysts. It excels in pattern extraction and predictive modeling, making data insights accessible and interactive.
2000Updated Today
Intermediate15 minutes to implementanalytics
Saves ~220 min per use
Quick InstallView Source
claude install 0PeterAdel/Data-Verse-UIWorks with:
ChatGPTGitHub Copilot
Overview
About This Skill
Data-Verse is an advanced AI data analysis agent that automates the entire data workflow, from ingestion to visualization, offering a robust alternative to traditional analysts. It excels in pattern extraction and predictive modeling, making data insights accessible and interactive.
Use Cases
Automating data cleaning processes
Generating predictive models for sales forecasts
Creating interactive dashboards for data visualization
Extracting patterns from large datasets
Best For
GrowthRevOps
Tags
Setup & Installation
Quick Install
Terminal
claude install 0PeterAdel/Data-Verse-UIAlternative Install (Git Clone)
git clone https://github.com/0PeterAdel/Data-Verse-UIRequirements
- Claude Code or compatible AI agent
- Works with: ChatGPT, GitHub Copilot
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Analyze the following [DATA] for [COMPANY] in the [INDUSTRY] sector. Identify key trends, patterns, and outliers. Generate a predictive model and create an interactive visualization dashboard to present the findings. Focus on actionable insights that can drive business decisions.
Example Output
# Data Analysis Report for GreenTech Solutions ## Key Trends and Patterns - **Revenue Growth**: Steady increase of 12% YoY, driven by [INDUSTRY] demand. - **Customer Segmentation**: High-value customers contribute 65% of total revenue. - **Operational Efficiency**: Supply chain delays impact 20% of production timelines. ## Predictive Model - **Forecast**: Revenue expected to grow by 15% next year. - **Risk Factors**: Potential supply chain disruptions could reduce growth by 5%. ## Interactive Visualization Dashboard - **Revenue Trends**: Line chart showing YoY growth. - **Customer Segmentation**: Pie chart displaying revenue distribution. - **Operational Efficiency**: Bar chart highlighting areas of delay. ## Actionable Insights - **Focus on high-value customers** to maximize revenue. - **Address supply chain delays** to improve production efficiency. - **Invest in marketing** to capitalize on predicted growth.
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