Relatyze-Data-Analysis-Automation

🥈Silver

Relatyze automates weekly social media performance reports by integrating with Instagram, Facebook, YouTube, Threads, and TikTok APIs. Built for social media managers who need consolidated, data-driven reporting across multiple platforms.

300Updated 2mo 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

Relatyze is a data analysis automation system that generates weekly performance reports for social media accounts. It connects to official APIs including Meta Graph API (Instagram and Facebook), YouTube Data API, Threads API, and TikTok API, while also supporting manual data entry for platforms like Kwai that lack API access. Each weekly report covers follower counts at the start and end of the week, total publications, total reach, and average engagement percentage per platform. The backend is built with Python and FastAPI, uses SQLAlchemy with PostgreSQL for data storage, and supports OAuth 2.0 authentication via Google and Meta. The frontend is developed with React Native Web using Expo, making it accessible as a web application.

How to Use

Deploy the FastAPI backend to a cloud provider such as Render and connect it to a PostgreSQL database. Authenticate with Google and Meta via OAuth 2.0 to grant access to Instagram, Facebook, YouTube, Threads, and TikTok accounts. For platforms without API support (Kwai), enter data manually through the interface. The React Native Web frontend, built with Expo, connects to the hosted API to display weekly reports.

Use Cases

Generate consolidated weekly performance reports across Instagram, Facebook, YouTube, TikTok, and Threads

Track follower growth, total reach, and average engagement percentage for each social platform week over week

Manually input Kwai performance data alongside API-sourced metrics for a complete multi-platform report

Authenticate with Google and Meta OAuth 2.0 to securely pull account data for automated reporting

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)