From meta-skills
Generates 5-7 email drip sequences for affiliate marketing that nurture subscribers from cold to buyer using Welcome-Value-Soft Sell-Hard Sell-Objection-Follow-Up pattern.
npx claudepluginhub affitor/affiliate-skills --plugin meta-skillsThis skill uses the workspace's default tool permissions.
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.
Builds branching email automation flows with conditional logic, segmentation, and triggers for ESPs like ConvertKit, Mailchimp, ActiveCampaign. Outputs ASCII diagrams, content, and setup instructions.
Generates complete multi-email sequences for drip campaigns, nurture series, onboarding, and launches including subject lines, preview text, body copy, CTAs, and A/B test suggestions.
Designs email automation sequences with timing, subject lines, copy, and conditional logic for welcome series, nurture, re-engagement, abandoned cart, post-purchase, review requests, and custom campaigns triggered by subscriber actions.
Share bugs, ideas, or general feedback.
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.
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.
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.
Collect required inputs. If product.name and product.affiliate_url are present (from user or S1 chain), proceed. Otherwise ask:
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."
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.
| # | Day | Type | Purpose |
|---|---|---|---|
| 1 | 0 | Welcome | Deliver lead magnet, set expectations, build trust |
| 2 | 1 | Value | Teach something useful (no sell) |
| 3 | 3 | Value + Soft Mention | More value, casual mention of the product |
| 4 | 5 | Soft Sell | Introduce the product properly, benefits focus |
| 5 | 7 | Hard Sell | Clear CTA, urgency (limited offer / deadline if available) |
| 6 | 10 | Objection Handling | Answer top 3 objections, social proof |
| 7 | 14 | Follow-Up / Last Chance | "Did you see this?" re-engagement 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:
Formatting rules:
CTA structure:
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.
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.
Before presenting output, verify:
If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.
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
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
---
[YOUR_AFFILIATE_LINK] before setting it up in your ESP."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).
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 mapconversion-tracker (S6) — email links to track conversionsemail-automation-builder (S7) — drip sequence as automation templateaffiliate-program-search (S1) — recommended_program product datalanding-page-creator (S4) — landing page as email link destinationgrand-slam-offer (S4) — offer framing for email copybonus-stack-builder (S4) — bonus details for email contentvalue-ladder-architect (S4) — transition sequences between ladder rungssqueeze-page-builder (S4) — opt-in page feeds email listconversion-tracker (S6) measures email click-through and conversion rates → optimize subject lines, send timing, and CTA placementBefore delivering output, verify:
Any NO → rewrite before delivering.
chain_metadata:
skill_slug: "email-drip-sequence"
stage: "distribution"
timestamp: string
suggested_next:
- "email-automation-builder"
- "conversion-tracker"