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.
1. **Install Dependencies**: Run `pip install pandas selenium schedule` and download the appropriate WebDriver for your browser (e.g., ChromeDriver for Chrome). 2. **Prepare Input Data**: Create a CSV file with columns like `content` (post text), `posted` (boolean flag), and any other metadata (e.g., `image_path`). 3. **Configure Script**: Replace placeholders in the script (e.g., `CSV_PATH`, `USERNAME`, `PASSWORD`) with your actual values. For security, avoid hardcoding credentials; use environment variables or a secrets manager. 4. **Test Locally**: Run the script manually to verify it works. Check for errors in the console and ensure posts are published correctly. 5. **Deploy**: Schedule the script to run automatically using `cron` (Linux/macOS) or Task Scheduler (Windows), or deploy it to a cloud service like AWS Lambda for 24/7 operation. **Tips**: - Use `try-except` blocks to handle common errors like network issues or element not found. - Add delays (`time.sleep`) between actions to avoid rate limits or detection. - For headless operation, add `options = webdriver.ChromeOptions(); options.add_argument('--headless')` to the WebDriver initialization.
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.
Write a Python script to automate [SPECIFIC_TASK] using [LIBRARIES_FRAMEWORKS]. The script should handle [INPUT_DATA_TYPE] and perform [OUTPUT_ACTION]. Include error handling for [COMMON_ERRORS]. Example: 'Write a Python script to automate posting daily LinkedIn updates from a CSV file using Selenium and Schedule. The script should read the CSV, log into LinkedIn, post each update, and skip duplicates. Include error handling for login failures and rate limits.'
```python import pandas as pd from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys import schedule import time from datetime import datetime # Configuration CSV_PATH = 'linkedin_posts.csv' LOGIN_URL = 'https://www.linkedin.com/login' POST_URL = 'https://www.linkedin.com/share' USERNAME = '[email protected]' PASSWORD = 'your_password' # Initialize WebDriver driver = webdriver.Chrome() # Load and process CSV data def load_posts(): df = pd.read_csv(CSV_PATH) df['posted'] = df['posted'].fillna(False) return df[df['posted'] == False] # Login to LinkedIn def login(): driver.get(LOGIN_URL) time.sleep(3) username_field = driver.find_element(By.ID, 'username') password_field = driver.find_element(By.ID, 'password') username_field.send_keys(USERNAME) password_field.send_keys(PASSWORD) password_field.send_keys(Keys.RETURN) time.sleep(5) # Post to LinkedIn def post_update(content): try: driver.get(POST_URL) time.sleep(3) textarea = driver.find_element(By.TAG_NAME, 'textarea') textarea.send_keys(content) post_button = driver.find_element(By.XPATH, '//button[@aria-label="Post"]') post_button.click() time.sleep(3) print(f"Posted: {content[:50]}...") return True except Exception as e: print(f"Error posting: {str(e)}") return False # Main automation function def automate_posting(): try: login() posts = load_posts() for _, row in posts.iterrows(): success = post_update(row['content']) if success: pd.read_csv(CSV_PATH).loc[row.name, 'posted'] = True pd.read_csv(CSV_PATH).to_csv(CSV_PATH, index=False) driver.quit() except Exception as e: print(f"Automation failed: {str(e)}") # Schedule daily posting schedule.every().day.at("09:00").do(automate_posting) print("LinkedIn automation script started. Waiting for scheduled time...") while True: schedule.run_pending() time.sleep(60) ```
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