lares

🥈Silver

Lares is an R-based AI skill for marketing analytics and machine learning. It automates data exploration, predictive modeling, and marketing mix modeling. Connects to H2O and Robyn for scalable machine learning. Ideal for marketing teams needing automated insights and predictive analytics.

240500Updated 1w ago

Intermediate30min to implementmarketing

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/laresbernardo/lares.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/laresbernardo/lares

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

Analyze the marketing data for [COMPANY] in the [INDUSTRY] sector using R. Please provide insights on customer behavior, trends, and potential improvements based on the following dataset: [DATA].

Example Output

### Customer Behavior Analysis for XYZ Corp

**Overview**: The analysis of the dataset provided reveals significant insights into customer engagement and purchasing patterns.

- **Trends**: 
  - 70% of customers prefer online shopping during weekends.
  - A 15% increase in sales was noted during promotional events.

- **Customer Segmentation**: 
  - Segment A (age 18-25): High engagement on social media.
  - Segment B (age 36-50): Prefers email newsletters.

**Recommendations**:
- Increase weekend promotions to capitalize on peak shopping times.
- Tailor marketing strategies to focus on social media for younger customers and email campaigns for older segments.