genpark-automated-email-marketing-agent-skill

Generates goal-driven email sequences and A/B test variations for marketing campaigns.

10|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/reason-machines/marketing-skills --skill genpark-automated-email-marketing-agent-skill-reason-machines
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: genpark-automated-email-marketing-agent-skill
Source: https://github.com/reason-machines/marketing-skills/tree/main/skills/genpark-automated-email-marketing-agent-skill
Command: npx skills add https://github.com/reason-machines/marketing-skills --skill genpark-automated-email-marketing-agent-skill-reason-machines

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, python-dotenv, pydantic, requests.

What problem does it solve? Writing multi-step email campaigns and testing variations manually is slow and inconsistent. This Skill automates the creation of goal-driven email sequences, A/B test variations, and personalized drip campaigns using AI. ## Core Features & Use Cases - Email Sequence Generation: Create multi-step campaigns for product launches, onboarding, and re-engagement based on defined goals and audience segments. - A/B and Multivariate Testing: Generate variations of subject lines, CTAs, and content with configurable split ratios and test hypotheses. - ESP Integration & Optimization: Deploy sequences through SendGrid or Mailgun and monitor open, click, and conversion rates to auto-optimize underperforming emails. - Use Case: A marketer launching a SaaS product defines a conversion goal of demo signups, generates a 5-email sequence for B2B managers, tests three subject line variants, and deploys the campaign via SendGrid. ## Quick Start Ask the agent to generate a 5-email product launch sequence targeting startup founders with A/B tested subject lines and CTAs.

Frequently Asked Questions about genpark-automated-email-marketing-agent-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an email marketing sequence with AI?▼

Initialize the EmailSequenceAgent with your API key, define a CampaignGoal with objective, target audience, and sequence length, then call generate_sequence. The agent outputs emails with subjects, send delays, and body content.

How to A/B test email subject lines and CTAs automatically?▼

Use the ABTestGenerator with a TestConfig specifying test elements like subject_line and cta_button, number of variations, and split ratio. It produces variants with test hypotheses you can deploy and compare.

Can I deploy generated email campaigns to SendGrid or Mailgun?▼

Yes, the skill includes SendGridConnector and MailgunConnector integrations. After generating a sequence, pass it to the connector's deploy_sequence method with your sender address and list or segment identifier.

Why is my A/B test not converging on a winner?▼

Tests fail to converge with too many variations or insufficient sample size. Reduce to two variations, set a minimum sample size around 1000, use 0.95 confidence level, and run the test for at least 48 hours.

What are the limitations of AI-generated email content?▼

Generated emails can be generic without sufficient context. Improve quality by providing a detailed brand voice description, example emails, tone constraints, and word count ranges in the generation request.