Automating social media, mailing, and kernel processes using Python.
git clone https://github.com/MainakRepositor/Py-Automation.gitPy-Automation is a Python-based skill for automating social media, mailing, and kernel processes. It streamlines repetitive marketing and system tasks through Python scripting. The skill enables developers to automate workflows across social platforms, email operations, and core system processes. Owned and maintained by MainakRepositor.
Automate scheduled social media posts across multiple platforms
Batch process and send automated email campaigns
Schedule and manage kernel-level system tasks using Python
Reduce manual effort in repetitive marketing workflows
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/MainakRepositor/Py-AutomationCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need a Python script to automate the following tasks for [COMPANY] in the [INDUSTRY] sector: 1) Schedule and post content to [SOCIAL_MEDIA_PLATFORMS] 2) Send personalized emails to [TARGET_AUDIENCE] using [EMAIL_DATA] 3) Analyze engagement metrics and generate a report. The script should be compatible with [PYTHON_VERSION] and use libraries like [LIBRARIES].
# Social Media and Email Automation Script for [COMPANY] ## Social Media Automation - **Platforms**: Twitter, LinkedIn, Facebook - **Posting Schedule**: Every weekday at 9 AM and 3 PM - **Content**: Uses predefined templates with dynamic data insertion ## Email Automation - **Recipients**: [TARGET_AUDIENCE] (500 contacts) - **Personalization**: Dynamic insertion of first names and company names - **Send Time**: Between 9 AM and 5 PM based on recipient's timezone ## Engagement Analysis - **Metrics Tracked**: Likes, shares, comments, open rates, click-through rates - **Report Format**: CSV with summary statistics and visualizations ```python # Import required libraries import tweepy import linkedin_api import smtplib from email.mime.text import MIMEText import pandas as pd import matplotlib.pyplot as plt # Social Media Automation # ... (code for social media automation) ... # Email Automation # ... (code for email automation) ... # Engagement Analysis # ... (code for engagement analysis) ... ```
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