Relatyze-Data-Analysis-Automation

🥈Silver

@franklin-samuel

Automatic system for creating social media reports

300Updated 3d ago

Intermediate30min to implementmarketing

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/franklin-samuel/Relatyze-Data-Analysis-Automation.git

Works with:

Claude

Overview

About This Skill

Automatic system for creating social media reports

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/franklin-samuel/Relatyze-Data-Analysis-Automation

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 following social media data for [COMPANY] in the [INDUSTRY] sector. Generate a comprehensive report with key metrics, trends, and actionable insights. Include visualizations where applicable. Focus on [DATA] such as engagement rates, follower growth, and content performance. Provide recommendations for improving social media strategy.

Example Output

## Social Media Performance Report for [COMPANY] in [INDUSTRY]

### Key Metrics
- **Engagement Rate**: 4.5% (up 12% from last month)
- **Follower Growth**: 1,200 new followers (15% increase)
- **Top Performing Content**: Video posts with 8.2% average engagement

### Trends
- **Weekly Engagement**: Peaks on Wednesdays and Sundays
- **Content Performance**: Video content outperforms images by 30%
- **Audience Demographics**: 60% female, 40% male; age range 25-34

### Recommendations
- **Content Strategy**: Increase video content to 60% of total posts
- **Posting Schedule**: Focus on Wednesdays and Sundays for higher engagement
- **Audience Targeting**: Tailor content to appeal to the 25-34 age group

### Visualizations
![Engagement Rate Trend](https://example.com/engagement_trend.png)
![Content Performance Comparison](https://example.com/content_performance.png)