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Email Automation Builder

Community
jiaxiaojunQAQ
email-automation-builder

Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set up automation", "email workflow builder", "segmented email flow", "advanced email sequence", "nurture funnel", "cart abandonment sequence", "win-back email flow".

Overview

PublisherjiaxiaojunQAQ
RepositorySkillJect
Skill nameemail-automation-builder
Stars
79
Forks
8
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 jiaxiaojunQAQ on GitHub. Read the source before you install it.

Installation

Install the Email Automation Builder 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.
  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/jiaxiaojunQAQ/SkillJect.git /tmp/SkillJect
mkdir -p .claude/skills
cp -r /tmp/SkillJect/data/skills_sample/email-automation-builder .claude/skills/email-automation-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email Automation Builder 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 Email Automation Builder 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 Email Automation Builder 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.

Email Automation Builder

Build multi-sequence email automation flows with branching logic, segmentation, triggers, and tool-specific setup. More advanced than S5 email-drip-sequence: this skill creates conditional flows that respond to subscriber behavior (opened, clicked, purchased). Output includes ASCII flow diagrams, email content, and platform setup instructions.

Stage

S7: Automation — S5's email-drip-sequence is a linear 7-email series. Real email marketing uses branching flows: if they opened → send X, if they didn't → send Y, if they clicked the affiliate link → move to a different sequence. This skill builds the automation system, not just the emails.

When to Use

  • User needs email flows with conditional logic (if/then branches)
  • User wants welcome series, nurture flows, win-back campaigns, or cart abandonment
  • User says "email automation", "branching email", "conditional sequence"
  • User wants to set up flows in ConvertKit, Mailchimp, ActiveCampaign, or Beehiiv
  • User already has an S5 drip sequence and wants to upgrade it to a full automation
  • Chaining: upgrade S5 email-drip-sequence output to a branching automation

Input Schema

yaml
product:
  name: string                 # REQUIRED — product being promoted
  affiliate_url: string        # REQUIRED — affiliate link
  reward_value: string         # OPTIONAL — commission info (e.g., "30% recurring")

audience:
  description: string          # REQUIRED — who the subscribers are
  segments:                    # OPTIONAL — audience segments for branching
    - string                   # e.g., ["cold_leads", "warm_leads", "buyers"]

flow_type: string              # OPTIONAL — "welcome" | "nurture" | "winback"
                               # | "reengagement" | "cart_abandon"
                               # Default: "welcome"

email_tool: string             # OPTIONAL — "convertkit" | "mailchimp"
                               # | "activecampaign" | "beehiiv"
                               # Default: generic (works with any ESP)

num_emails: number             # OPTIONAL — total emails in the flow (5-12)
                               # Default: 7

lead_magnet: string            # OPTIONAL — what they opted in for

Chaining context: If S5 email-drip-sequence was run earlier, offer to upgrade it: "I see you have a 7-email drip sequence. Want me to upgrade it with branching logic and segments?"

Workflow

Step 1: Map Flow Type to Template

Select automation template based on flow_type:

Welcome Flow: Trigger → Welcome email → Wait 1 day → Value email → Branch (opened? → Soft sell / didn't open? → Re-engagement) → Continue selling to openers, re-engage non-openers

Nurture Flow: Trigger → Educational series → Branch (clicked affiliate link? → Move to sales sequence / didn't click? → Continue nurturing) → Post-purchase thank you for converters

Win-back Flow: Trigger (inactive 30+ days) → "We miss you" → Wait 3 days → Value reminder → Branch (re-engaged? → Move to nurture / still inactive? → Last chance) → Sunset after no response

Step 2: Define Triggers and Entry Conditions

For each flow, specify:

  • Entry trigger: What starts the flow (new subscriber, tag added, purchase, inactivity)
  • Exit conditions: What removes someone (purchase, unsubscribe, entered different flow)
  • Branch conditions: Opens, clicks, purchases, time-based

Step 3: Design Branching Logic

Create decision points:

  • After email N: Did they open? (Branch A: opened, Branch B: not opened)
  • After email N: Did they click affiliate link? (Branch A: clicked, Branch B: didn't)
  • After email N: Did they purchase? (Branch A: buyer → thank you, Branch B: non-buyer → continue)

Step 4: Write Each Email

For each email in each branch, write:

  • Subject line (40-60 chars)
  • Preview text (80-100 chars)
  • Body copy (200-400 words)
  • CTA (single, clear)
  • FTC disclosure (for emails with affiliate links)

Step 5: Add Wait Times

Between emails:

  • Welcome flow: 0, 1, 2, 3, 5, 7, 10 days
  • Nurture flow: 2, 4, 7, 10, 14 days
  • Win-back flow: 0, 3, 7, 14 days
  • Adjust based on audience engagement patterns

Step 6: Output Flow + Setup

Present:

  • ASCII flow diagram showing the full automation
  • Each email's content
  • Tool-specific setup instructions (if email_tool specified)

Step 7: Self-Validation

Before presenting output, verify:

  • Every branch path leads to a valid next step (no dead ends)
  • All emails are complete in each branch (subject, body, CTA)
  • Wait times between emails sum correctly to total flow duration
  • FTC disclosure present on all emails containing affiliate links
  • Branch conditions are clear boolean logic (opened/clicked/didn't)

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema

yaml
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
automation:
  flow_type: string
  product: string
  total_emails: number
  total_branches: number
  estimated_days: number       # total span of the flow

flow:
  - step: number
    type: string               # "email" | "wait" | "branch" | "exit"
    email:                     # present if type is "email"
      subject: string
      preview: string
      body: string
      cta: string
      has_affiliate_link: boolean
    wait_days: number          # present if type is "wait"
    branch:                    # present if type is "branch"
      condition: string        # e.g., "opened previous email?"
      yes_path: number         # step number for yes
      no_path: number          # step number for no

setup:
  tool: string
  steps: string[]              # tool-specific setup instructions
  tags: string[]               # recommended tags to apply
  segments: string[]           # recommended segments

Output Format

  1. Flow Overview — flow type, total emails, total days, branch count
  2. ASCII Flow Diagram — visual representation of the automation with branches
  3. Email Content — each email with subject, preview, body, CTA (grouped by branch)
  4. Setup Instructions — tool-specific steps to build this automation
  5. Tags & Segments — recommended tagging strategy for tracking

Error Handling

  • No product info: "What affiliate product are you promoting? I need the product name and your affiliate link to write the email content."
  • Unknown email tool: "I don't have specific setup instructions for [tool]. I'll provide generic automation logic that works with any ESP — just map the triggers, waits, and branches to your tool's interface."
  • Too many emails requested (>12): "12+ emails in one flow is usually too many. I'll create a 7-email flow with branches. For longer nurture, consider chaining two separate flows."
  • Upgrading from S5: "I see your existing 7-email drip. I'll keep the email content and add branching logic: opened/not-opened splits after emails 2 and 4, and a purchase detection branch after email 5."

Examples

Example 1: Welcome flow with branches

User: "Build a welcome email automation for HeyGen (affiliate link: heygen.com/ref/abc123) for content creators who downloaded my AI tools guide." Action: 7-email welcome flow. Email 1: Deliver guide. Email 2: Value (AI video tip). Branch: Did they open email 2? Yes → Email 3 (soft sell HeyGen). No → Email 3b (re-engagement with different subject). Continue branching through to email 7. ASCII diagram + all email content + ConvertKit setup.

Example 2: Upgrade existing S5 drip

User: "Take my email drip sequence from earlier and add automation logic." Action: Keep the 7 emails from S5 output. Add branches: After email 2 (opened → continue / not opened → resend with new subject). After email 4 (clicked affiliate link → skip to email 5 hard sell / didn't click → add extra value email). After email 5 (purchased → exit + thank you / didn't purchase → continue to email 6-7).

Example 3: Win-back flow

User: "Create a win-back sequence for subscribers who haven't opened emails in 30 days. I promote Semrush." Action: 4-email win-back flow. Trigger: 30 days no opens. Email 1: "Still interested in SEO?" (curiosity). Wait 3 days. Email 2: Value piece (SEO tip). Branch: Opened? Yes → Move to nurture flow. No → Email 3: "Last chance" (urgency). No response after 7 days → Sunset (remove from list).

References

  • shared/references/ftc-compliance.md — FTC disclosure for emails with affiliate links. Read in Step 4.
  • shared/references/affitor-branding.md — Branding guidelines for email footers. Referenced in Step 4.
  • shared/references/flywheel-connections.md — master flywheel connection map

Flywheel Connections

Feeds Into

  • conversion-tracker (S6) — automated email links to track

Fed By

  • email-drip-sequence (S5) — drip sequence to upgrade with automation logic
  • conversion-tracker (S6) — conversion data for branch conditions

Feedback Loop

  • conversion-tracker (S6) provides email conversion data → optimize branch conditions and timing
yaml
chain_metadata:
  skill_slug: "email-automation-builder"
  stage: "automation"
  timestamp: string
  suggested_next:
    - "conversion-tracker"
    - "performance-report"

Frequently asked questions

What does the Email Automation Builder AI skill do?

Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set up automation", "email workflow builder", "segmented email flow", "advanced email sequence", "nurture funnel", "cart abandonment sequence", "win-back email flow".

Why use Email Automation Builder on TypingMind?

Because you install it once and use it with any model. Email Automation Builder 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 Email Automation Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiaxiaojunQAQ/SkillJect/tree/main/data/skills_sample/email-automation-builder. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Email Automation Builder?

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 Email Automation Builder?

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

Is the Email Automation Builder AI skill free?

Yes. It is published on GitHub by jiaxiaojunQAQ 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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