mindsdb

🥇Gold

MindsDB is a powerful federated query engine that simplifies AI integration with databases. It allows users to leverage machine learning capabilities seamlessly across various data sources, enhancing analytics and business intelligence workflows.

38,5796,0880Updated Today

Intermediate15 minutes to implementanalytics

Saves ~75 min per use

Quick InstallView Source

claude install mindsdb/mindsdb

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

Use Cases

Integrate AI-driven insights into business analytics for improved reporting.

Automate data queries across multiple databases to save time and resources.

Enhance decision-making with predictive analytics tailored to specific business needs.

Streamline data access for marketing campaigns to optimize targeting and engagement.

Best For

RevOpsGrowthMarketing

Setup & Installation

Quick Install

Terminal

claude install mindsdb/mindsdb

Alternative Install (Git Clone)

git clone https://github.com/mindsdb/mindsdb

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT, GitHub Copilot

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 want to analyze [DATA] from [COMPANY] in the [INDUSTRY] using MindsDB. Can you help me set up a federated query to extract insights and leverage machine learning for better decision-making?

Example Output

### Insights from Sales Data

After running the federated query on the sales data from **Acme Corp** in the **retail industry**, we found:

- **Sales Increase**: A 15% increase in sales for products promoted during the holiday season.
- **Customer Preferences**: Customers aged 25-34 showed a 30% higher interest in eco-friendly products.
- **Forecasting**: Predictive models suggest a 20% increase in demand for summer apparel in the upcoming quarter.

### Recommendations
- Focus marketing efforts on eco-friendly products to capitalize on the growing interest.
- Prepare inventory for summer apparel based on predicted demand.