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Email Drip Sequence

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jiaxiaojunQAQ
email-drip-sequence

Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding sequence", "write emails for my list", "set up a drip sequence", "email campaign for [product]", "nurture my subscribers", "email follow-up sequence", "build my email funnel", "write 5 emails promoting [product]", "email automation sequence".

Overview

PublisherjiaxiaojunQAQ
RepositorySkillJect
Skill nameemail-drip-sequence
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 Drip Sequence 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-drip-sequence .claude/skills/email-drip-sequence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email Drip Sequence 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 Drip Sequence 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 Drip Sequence 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 Drip Sequence

Write a 5-7 email drip sequence that nurtures new subscribers from cold to warm to buyer. Follows the Welcome → Value → Value → Soft Sell → Hard Sell → Objection Handling → Follow-Up pattern. Each email includes subject line, preview text, body copy, and a single clear CTA.

Stage

S5: Distribution — Email is the highest-ROI channel for affiliate marketers (avg $42 return per $1 spent). This skill turns a list of subscribers into a predictable revenue stream by delivering value first and selling second.

When to Use

  • User has an email list and wants to promote an affiliate product
  • User just launched a lead magnet or opt-in form and needs a welcome sequence
  • User wants to automate affiliate promotions via email automation (ConvertKit, Mailchimp, Beehiiv, ActiveCampaign, etc.)
  • User says anything like "email sequence", "drip campaign", "email funnel", "nurture series"
  • User wants a sequence for a specific product or niche
  • Chaining from S1 (research) — user found a product and now wants an email sequence for it

Input Schema

yaml
product:
  name: string              # REQUIRED — product name (e.g., "HeyGen")
  affiliate_url: string     # REQUIRED — the affiliate link to promote
  category: string          # OPTIONAL — product category (e.g., "AI video tool")
  reward_value: string      # OPTIONAL — commission amount/percentage (e.g., "30% recurring")
  key_benefits: string[]    # OPTIONAL — top 3 benefits. Auto-researched if not provided.
  price: string             # OPTIONAL — product pricing (e.g., "$29/mo")

audience:
  description: string       # REQUIRED — who are the subscribers? (e.g., "content creators", "SaaS founders")
  pain_point: string        # OPTIONAL — main problem they want solved
  awareness_level: string   # OPTIONAL — "cold" | "warm" | "hot". Default: "cold"

sequence:
  length: number            # OPTIONAL — number of emails: 5, 6, or 7. Default: 7
  send_days: number[]       # OPTIONAL — days to send (e.g., [0, 1, 3, 5, 7, 10, 14])
                            # Default: [0, 1, 3, 5, 7, 10, 14]
  sender_name: string       # OPTIONAL — from name (e.g., "Alex from ContentPro")
  tone: string              # OPTIONAL — "conversational" | "professional" | "bold"
                            # Default: "conversational"
  lead_magnet: string       # OPTIONAL — what they opted in for (e.g., "AI tools checklist")

Chaining context: If S1 (product research) was run earlier in the conversation, pull product.name, product.affiliate_url, product.key_benefits, and product.reward_value automatically. Do not ask the user to repeat information already provided.

Workflow

Step 1: Gather Information

Collect required inputs. If product.name and product.affiliate_url are present (from user or S1 chain), proceed. Otherwise ask:

  • "What product are you promoting and what's your affiliate link?"
  • "Who are your subscribers? (e.g., freelancers, SaaS founders, content creators)"

If product.key_benefits is not provided, infer 3 benefits from the product name and category using your training knowledge. State: "Based on what I know about [product], I'm using these key benefits: [list]. Correct me if needed."

Step 2: Plan the Sequence

Map each email to its purpose using the 7-email arc. For a 5-email sequence, drop emails 6 and 7. For a 6-email sequence, drop email 7.

#DayTypePurpose
10WelcomeDeliver lead magnet, set expectations, build trust
21ValueTeach something useful (no sell)
33Value + Soft MentionMore value, casual mention of the product
45Soft SellIntroduce the product properly, benefits focus
57Hard SellClear CTA, urgency (limited offer / deadline if available)
610Objection HandlingAnswer top 3 objections, social proof
714Follow-Up / Last Chance"Did you see this?" re-engagement email

Step 3: Write Each Email

For each email, write all four components:

Subject Line: 40-60 characters. Use curiosity, specificity, or direct benefit. Avoid spam trigger words (free, guaranteed, act now).

Preview Text: 80-100 characters. Extends the subject line, adds context or intrigue. Shown in inbox preview.

Body Copy:

  • Email 1-2: 200-300 words. Focus on value, zero sell pressure.
  • Email 3-4: 250-350 words. Introduce product naturally in context.
  • Email 5: 300-400 words. Strong pitch, benefits listed, clear CTA button.
  • Email 6: 250-300 words. Story-driven or testimonial-anchored.
  • Email 7: 150-200 words. Short, punchy re-engagement.

Formatting rules:

  • Short paragraphs (2-3 sentences max)
  • One idea per paragraph
  • Conversational opener (use "you", avoid "Dear [Name]")
  • Single CTA per email (one link, one action)
  • Sign off with sender name + brief sign-off line

CTA structure:

  • Email 1: CTA = download/access lead magnet (not affiliate link)
  • Email 2: CTA = read an article or reply to email (engagement)
  • Email 3: CTA = soft mention "check it out" with affiliate link
  • Email 4-7: CTA = affiliate link with action verb ("Try [Product] Free", "Get [X]% Off", "Start Your Trial")

Step 4: Add Compliance Disclosures

Each email that contains an affiliate link must include a one-line FTC disclosure. Place it immediately before or after the affiliate link:

Affiliate disclosure: I may earn a commission if you purchase through my link, at no extra cost to you.

For email clients that strip formatting, also include plain text disclosure in the footer.

Step 5: Output the Sequence

Present all emails in order. Each email formatted as:

---
EMAIL [N] — Day [X] — [Type]
---
Subject: [subject line]
Preview: [preview text]

[Body copy]

[CTA]

[Signature]
---

After all emails, provide the Setup Instructions section.

Step 6: Self-Validation

Before presenting output, verify:

  • All 5-7 emails present with subject, preview text, body, and CTA
  • FTC disclosure included on every email containing affiliate links
  • Email spacing is logical (not all on day 1)
  • Value emails outnumber pitch emails in the sequence
  • CTA links point to correct affiliate URLs

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
sequence:
  product_name: string
  affiliate_url: string
  audience: string
  email_count: number
  total_days: number          # span of the sequence in days
  emails:
    - number: number          # 1-7
      day: number             # send delay in days from signup
      type: string            # welcome | value | soft-sell | hard-sell | objection | follow-up
      subject: string
      preview_text: string
      body: string            # full email body
      cta_text: string        # button/link text
      cta_url: string         # affiliate link or engagement action

setup:
  recommended_esp: string[]   # e.g., ["ConvertKit", "Beehiiv", "ActiveCampaign"]
  automation_notes: string    # how to set up the delay/trigger logic
  ab_test_suggestion: string  # what to A/B test first

Output Format

Present the sequence as clearly separated email blocks (as shown in Step 5). After the last email, add a Setup Instructions section:

---
SETUP INSTRUCTIONS
---
ESP Recommendations: ConvertKit, Beehiiv, or ActiveCampaign
Trigger: New subscriber joins list / completes opt-in form
Delays: Set each email to fire X days after the previous
A/B Test First: Subject lines on Email 5 (the hard sell) — highest impact
Tag to apply: Add an "affiliate-[product]" tag to track clicks in your ESP
---

Error Handling

  • No affiliate URL provided: "I'll write the sequence structure now. Drop in your affiliate link where I've marked [YOUR_AFFILIATE_LINK] before setting it up in your ESP."
  • Unknown product: Research the product using web search if possible. If not found, ask: "Can you tell me the top 2-3 benefits of [product]? I'll write the sequence around those."
  • Audience too vague ("everyone"): Default to "online business owners and marketers." Note: "I used a general audience. For better conversions, replace 'you' with specific language like 'as a freelancer...' or 'for SaaS founders...' throughout."
  • No lead magnet info: Email 1 defaults to a "welcome + what to expect" format rather than lead magnet delivery.
  • Request for 3 emails or fewer: "A 3-email sequence is too short to build trust before the sell. I recommend at least 5. Want me to write a 5-email version?"

Examples

Example 1: Product + audience provided User: "Write an email sequence for HeyGen (my link: heygen.com/ref/abc123) targeting YouTube creators who opted in for my AI tools checklist." Action: 7-email sequence, Day 0 delivers checklist, emails 2-3 teach AI video creation tips, emails 4-7 pitch HeyGen with creator-specific angles (save editing time, AI avatars, multilingual).

Example 2: Chained from S1 Context: S1 found Semrush with 30% recurring commission targeting SEO consultants. User: "Now write an email sequence for this." Action: Pull product details from S1 output. Write 7-email sequence targeting SEO consultants. Lead magnet assumed to be SEO-related content.

Example 3: Minimal input User: "Write me a drip sequence for my Notion template affiliate program" Action: Ask for affiliate URL and audience. Use Notion affiliate program knowledge for benefits. Write 5-email sequence (conservative default for shorter products with simpler buying journey).

References

  • shared/references/ftc-compliance.md — FTC affiliate disclosure requirements. Apply to every email containing an affiliate link.
  • shared/references/affitor-branding.md — Affitor footer. Include in plain text footer of each email.
  • shared/references/flywheel-connections.md — master flywheel connection map

Flywheel Connections

Feeds Into

  • conversion-tracker (S6) — email links to track conversions
  • email-automation-builder (S7) — drip sequence as automation template

Fed By

  • affiliate-program-search (S1) — recommended_program product data
  • landing-page-creator (S4) — landing page as email link destination
  • grand-slam-offer (S4) — offer framing for email copy
  • bonus-stack-builder (S4) — bonus details for email content
  • value-ladder-architect (S4) — transition sequences between ladder rungs
  • squeeze-page-builder (S4) — opt-in page feeds email list

Feedback Loop

  • conversion-tracker (S6) measures email click-through and conversion rates → optimize subject lines, send timing, and CTA placement

Quality Gate

Before delivering output, verify:

  1. Would I share this on MY personal social?
  2. Contains specific, surprising detail? (not generic)
  3. Respects reader's intelligence?
  4. Remarkable enough to share? (Purple Cow test)
  5. Irresistible offer framing? (if S4 offer skills ran)

Any NO → rewrite before delivering.

yaml
chain_metadata:
  skill_slug: "email-drip-sequence"
  stage: "distribution"
  timestamp: string
  suggested_next:
    - "email-automation-builder"
    - "conversion-tracker"

Frequently asked questions

What does the Email Drip Sequence AI skill do?

Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding sequence", "write emails for my list", "set up a drip sequence", "email campaign for [product]", "nurture my subscribers", "email follow-up sequence", "build my email funnel", "write 5 emails promoting [product]", "email automation sequence".

Why use Email Drip Sequence on TypingMind?

Because you install it once and use it with any model. Email Drip Sequence 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 Drip Sequence in TypingMind?

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

Which AI models can use Email Drip Sequence?

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 Drip Sequence?

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

Is the Email Drip Sequence 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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