Mailchimp Automation logo

Mailchimp Automation

Organization
claude-office-skills
Mailchimp Automation

Automate Mailchimp email marketing campaigns, audience management, automations, and analytics

Overview

Publisherclaude-office-skills
Repositoryskills
Skill nameMailchimp Automation
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the Mailchimp Automation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/claude-office-skills/skills/tree/main/mailchimp-automation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/mailchimp-automation .claude/skills/claude-office-skills-mailchimp-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mailchimp Automation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mailchimp Automation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mailchimp Automation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Mailchimp Automation

Comprehensive skill for automating Mailchimp email marketing and audience management.

Core Workflows

1. Campaign Pipeline

EMAIL CAMPAIGN FLOW:
┌─────────────────┐
│  Plan Campaign  │
│  - Goals        │
│  - Audience     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Create Content │
│  - Design       │
│  - Copy         │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Configure      │
│  - Subject      │
│  - Preview      │
│  - Settings     │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Test & Review  │
│  - A/B test     │
│  - Preview      │
└────────┬────────┘
         ▼
┌─────────────────┐
│  Schedule/Send  │
│  - Timing       │
│  - Send         │
└────────┬────────┘
         ▼
┌─────────────────┐
│    Analyze      │
│  - Opens/Clicks │
│  - Revenue      │
└─────────────────┘

2. Campaign Configuration

yaml
campaign_config:
  type: regular  # regular, automated, plaintext, ab_test
  
  recipients:
    list_id: "abc123"
    segment_opts:
      saved_segment_id: "seg123"
      # or dynamic conditions
      
  settings:
    subject_line: "{{subject}}"
    preview_text: "{{preview}}"
    from_name: "{{company}}"
    reply_to: "{{email}}"
    
  tracking:
    opens: true
    clicks: true
    ecommerce: true
    google_analytics: "campaign_name"
    
  content_type: "template"
  template_id: "template_123"

Audience Management

Segmentation Rules

yaml
segments:
  - name: active_subscribers
    conditions:
      - field: last_opened
        op: greater_than
        value: "30_days_ago"
        
  - name: high_value_customers
    conditions:
      - field: ecomm_total_spent
        op: greater_than
        value: 500
      - field: ecomm_orders
        op: greater_than
        value: 3
        
  - name: at_risk
    conditions:
      - field: last_opened
        op: greater_than
        value: "90_days_ago"
      - field: email_campaigns_opened
        op: greater_than
        value: 5
        
  - name: new_subscribers
    conditions:
      - field: timestamp_signup
        op: greater_than
        value: "30_days_ago"

Audience Tags

yaml
tagging_automation:
  - trigger: form_submit
    form: "newsletter_signup"
    actions:
      - add_tag: "newsletter"
      - add_tag: "{{form.interest}}"
      
  - trigger: purchase
    actions:
      - add_tag: "customer"
      - add_tag: "purchased_{{product_category}}"
      
  - trigger: link_clicked
    url_contains: "/pricing"
    actions:
      - add_tag: "interested_in_pricing"

Email Automation

Welcome Series

yaml
welcome_automation:
  name: "Welcome Series"
  trigger:
    type: signup
    list_id: "main_list"
    
  emails:
    - delay: immediate
      subject: "Welcome to {{company}}! 🎉"
      template: welcome_email_1
      
    - delay: 2_days
      subject: "Here's how to get started"
      template: welcome_email_2
      
    - delay: 5_days
      subject: "{{first_name}}, your exclusive tips"
      template: welcome_email_3
      
    - delay: 10_days
      subject: "Ready to take the next step?"
      template: welcome_email_4
      content: offer_cta

Abandoned Cart

yaml
abandoned_cart:
  name: "Cart Recovery"
  trigger:
    type: ecommerce
    event: cart_abandoned
    delay: 1_hour
    
  emails:
    - delay: 1_hour
      subject: "You left something behind..."
      template: cart_reminder_1
      show_cart_items: true
      
    - delay: 24_hours
      condition: cart_not_recovered
      subject: "Your cart is waiting"
      template: cart_reminder_2
      include_discount: false
      
    - delay: 72_hours
      condition: cart_not_recovered
      subject: "Last chance: 10% off your cart"
      template: cart_reminder_3
      include_discount: true
      discount_code: "COMEBACK10"

Post-Purchase

yaml
post_purchase:
  name: "Post-Purchase Nurture"
  trigger:
    type: ecommerce
    event: purchase
    
  emails:
    - delay: immediate
      type: transactional
      subject: "Order confirmed #{{order_id}}"
      template: order_confirmation
      
    - delay: 3_days
      type: transactional
      subject: "Your order has shipped"
      template: shipping_notification
      condition: order_shipped
      
    - delay: 7_days
      subject: "How's your {{product_name}}?"
      template: review_request
      condition: order_delivered
      
    - delay: 30_days
      subject: "You might also like..."
      template: cross_sell
      content: recommended_products

A/B Testing

Test Configuration

yaml
ab_test:
  type: subject_line  # or content, send_time, from_name
  
  variants:
    a:
      subject: "Don't miss out: Sale ends tonight"
    b:
      subject: "⚡ Flash sale: 24 hours only"
      
  test_settings:
    split_percentage: 20  # Test on 20%, winner to 80%
    winning_metric: open_rate  # or click_rate, revenue
    wait_time: 4_hours
    
  auto_winner:
    enabled: true
    send_remaining: true

Multivariate Test

yaml
multivariate_test:
  factors:
    subject_line:
      - "New arrivals just dropped"
      - "You'll love what's new"
    preview_text:
      - "Shop the latest styles"
      - "See what's trending now"
    send_time:
      - "09:00"
      - "14:00"
      
  combinations: 8
  sample_size: 25%
  duration: 24_hours

Email Templates

Newsletter Template

yaml
newsletter_template:
  layout: multi_column
  
  sections:
    - type: header
      logo: "{{logo_url}}"
      navigation: true
      
    - type: hero
      image: "{{hero_image}}"
      headline: "{{headline}}"
      subheadline: "{{subheadline}}"
      cta:
        text: "{{cta_text}}"
        url: "{{cta_url}}"
        
    - type: content_blocks
      columns: 2
      items:
        - image: "{{item1_image}}"
          title: "{{item1_title}}"
          description: "{{item1_desc}}"
          link: "{{item1_url}}"
          
    - type: footer
      social_links: true
      unsubscribe: true
      company_address: true

Personalization

yaml
personalization:
  merge_tags:
    - "*|FNAME|*": first_name
    - "*|LNAME|*": last_name
    - "*|EMAIL|*": email
    - "*|COMPANY|*": company
    
  conditional_content:
    - condition: "*|IF:VIP|*"
      content: "As a VIP member, you get early access!"
      
  dynamic_content:
    - tag: "*|PRODUCT_RECS|*"
      source: ecommerce
      type: recommended_products
      limit: 4

Analytics Dashboard

Campaign Performance

CAMPAIGN ANALYTICS - "January Newsletter"
═══════════════════════════════════════

DELIVERY:
Sent:          25,430
Delivered:     24,892 (97.9%)
Bounced:       538 (2.1%)

ENGAGEMENT:
Opened:        8,450 (33.9%)
Clicked:       2,156 (8.7%)
Unsubscribed:  45 (0.18%)

REVENUE (if e-commerce):
Orders:        89
Revenue:       $4,523
Revenue/Email: $0.18

BY DEVICE:
Desktop   ████████████████ 52%
Mobile    ██████████░░░░░░ 38%
Tablet    ███░░░░░░░░░░░░░ 10%

TOP CLICKED LINKS:
┌────────────────────────┬────────┐
│ Link                   │ Clicks │
├────────────────────────┼────────┤
│ Main CTA button        │ 1,245  │
│ Product image 1        │ 456    │
│ "Learn more" link      │ 234    │
│ Social - Twitter       │ 123    │
└────────────────────────┴────────┘

OPEN TIME:
Peak: 10:00 AM - 12:00 PM (42%)

Audience Health

yaml
audience_metrics:
  total_subscribers: 45,230
  growth_rate: "+3.2% monthly"
  
  health_indicators:
    active_30_days: 78%
    engaged_90_days: 65%
    dormant: 22%
    
  list_quality:
    average_open_rate: 28.5%
    average_click_rate: 4.2%
    unsubscribe_rate: 0.15%
    bounce_rate: 1.8%

API Examples

Create Campaign

javascript
// Create Campaign
const campaign = await mailchimp.campaigns.create({
  type: "regular",
  recipients: {
    list_id: "abc123",
    segment_opts: {
      saved_segment_id: "seg123"
    }
  },
  settings: {
    subject_line: "Your Weekly Update",
    preview_text: "This week's top stories",
    from_name: "Company Name",
    reply_to: "hello@company.com"
  }
});

// Set Content
await mailchimp.campaigns.setContent(campaign.id, {
  template: {
    id: "template_123",
    sections: {
      headline: "Welcome to our newsletter!"
    }
  }
});

// Send Campaign
await mailchimp.campaigns.send(campaign.id);

Manage Subscribers

javascript
// Add Subscriber
await mailchimp.lists.addListMember("list_id", {
  email_address: "user@example.com",
  status: "subscribed",
  merge_fields: {
    FNAME: "John",
    LNAME: "Doe"
  },
  tags: ["newsletter", "customer"]
});

// Update Subscriber
await mailchimp.lists.updateListMember("list_id", "subscriber_hash", {
  merge_fields: {
    COMPANY: "Acme Inc"
  }
});

// Add Tags
await mailchimp.lists.updateListMemberTags("list_id", "subscriber_hash", {
  tags: [{ name: "vip", status: "active" }]
});

Best Practices

  1. Clean Your List: Remove bounces and inactive
  2. Segment Thoughtfully: Right message to right people
  3. Test Everything: Subject lines, content, timing
  4. Mobile First: Design for mobile readers
  5. Personalize: Use merge tags and dynamic content
  6. Monitor Metrics: Track and improve over time
  7. Respect Frequency: Don't over-send
  8. Comply with Laws: CAN-SPAM, GDPR

Frequently asked questions

What does the Mailchimp Automation AI skill do?

Automate Mailchimp email marketing campaigns, audience management, automations, and analytics

Why use Mailchimp Automation on TypingMind?

Because you install it once and use it with any model. Mailchimp Automation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mailchimp Automation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/mailchimp-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mailchimp Automation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mailchimp Automation?

As many as you like. As long as a model supports skills, you can use Mailchimp Automation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mailchimp Automation AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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