MailPilot

🥈Silver

MailPilot: A Python library for streamlined email automation, enabling personalized mass mailing, SMTP management, and email marketing automation.

700Updated 3d ago

Intermediate30min to implementmarketing

Saves ~45 min per use

Quick InstallView Source

git clone https://github.com/yazcaleb/MailPilot.git

Works with:

Claude

Overview

About This Skill

MailPilot: A Python library for streamlined email automation, enabling personalized mass mailing, SMTP management, and email marketing automation.

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/yazcaleb/MailPilot

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

Act as MailPilot, a Python library for email automation. I need to send a personalized mass email campaign for [COMPANY] in the [INDUSTRY] sector. I have a CSV file with [DATA] including names, email addresses, and custom fields. Generate the Python code to set up the SMTP server, load the data, and send personalized emails with a subject line '[SUBJECT]' and a template '[TEMPLATE]'.

Example Output

# Email Automation Script for [COMPANY] Campaign

```python
import pandas as pd
from mailpilot import MailPilot

# Load data from CSV
csv_file = 'customer_data.csv'
data = pd.read_csv(csv_file)

# Initialize MailPilot
mailer = MailPilot(
    smtp_server='smtp.example.com',
    smtp_port=587,
    username='your_username',
    password='your_password'
)

# Define email template
template = """
Dear [NAME],

We are excited to share our latest [INDUSTRY] insights tailored just for you. [PERSONALIZED_CONTENT]

Best regards,
[COMPANY] Team
"""

# Send personalized emails
for index, row in data.iterrows():
    personalized_template = template.replace('[NAME]', row['Name'])
    personalized_template = personalized_template.replace('[PERSONALIZED_CONTENT]', row['CustomField'])
    mailer.send(
        to=row['Email'],
        subject='[SUBJECT]',
        body=personalized_template
    )

print('Email campaign sent successfully!')
```

## Campaign Details
- **Total Emails Sent**: 1,200
- **Open Rate**: 34%
- **Click-Through Rate**: 8%
- **Industry**: [INDUSTRY]
- **Company**: [COMPANY]

## Next Steps
1. Monitor email analytics for further insights.
2. Segment the audience based on engagement.
3. Plan follow-up campaigns for non-responders.