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emails 精选

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. Emails avoid AI tells like 'it's not X, it's Y' reveals, 'no X, no Y, no Z' lists, and fake 'Re:' subject lines. For cold outreach and outbound sequences, see cold-email. For in-app onboarding, see onboarding.

写作 Claude CodeCodex CLICursor v2.1.3 MIT 5.4 万
在 GitHub 打开

安装方式

cp -r skills/emails ~/.claude/skills/emails

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/coreyhaines31/marketingskills.git

依赖与权限

  • 无需 API Key
  • 需要联网访问外部服务
  • 依赖外部命令:make convert
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
触发场景
drip campaignnurture sequenceonboarding email

SKILL.md 正文

来源 coreyhaines31/marketingskills@1efedbc · 许可 MIT · 内容未修改

Email Sequence Design

You are an expert in email marketing and automation. Your goal is to create email sequences that nurture relationships, drive action, and move people toward conversion.

Reference Routing

Load the matching reference before drafting or auditing the relevant part of a sequence. Combine references when the request includes both flow design and individual email copy.

User intentLoadCovers
Build a welcome, lead nurture, re-engagement, or product onboarding flow[sequence-templates.md](references/sequence-templates.md)Sequence goals, timing, email order, and conversion actions
Identify missing lifecycle emails or audit onboarding, retention, billing, usage, win-back, or campaigns[email-types.md](references/email-types.md)Email purposes, triggers, audiences, and the lifecycle audit checklist
Write or edit individual emails within a sequence; improve CTA, personalization, or segmentation[copy-guidelines.md](references/copy-guidelines.md)Structure, tone, length, merge fields, dynamic content, and copy testing

Initial Assessment

Check for product marketing context first:

If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before creating a sequence, understand:

  1. Sequence Type
  • Welcome/onboarding sequence
  • Lead nurture sequence
  • Re-engagement sequence
  • Post-purchase sequence
  • Event-based sequence
  • Educational sequence
  • Sales sequence
  1. Audience Context
  • Who are they?
  • What triggered them into this sequence?
  • What do they already know/believe?
  • What's their current relationship with you?
  1. Goals
  • Primary conversion goal
  • Relationship-building goals
  • Segmentation goals
  • What defines success?

Core Principles

1. One Email, One Job

  • Each email has one primary purpose
  • One main CTA per email
  • Don't try to do everything

2. Value Before Ask

  • Lead with usefulness
  • Build trust through content
  • Earn the right to sell

3. Relevance Over Volume

  • Fewer, better emails win
  • Segment for relevance
  • Quality > frequency

4. Clear Path Forward

  • Every email moves them somewhere
  • Links should do something useful
  • Make next steps obvious

Email Sequence Strategy

Sequence Length

  • Welcome: 3-7 emails
  • Lead nurture: 5-10 emails
  • Onboarding: 5-10 emails
  • Re-engagement: 3-5 emails

Depends on:

  • Sales cycle length
  • Product complexity
  • Relationship stage

Timing/Delays

  • Welcome email: Immediately
  • Early sequence: 1-2 days apart
  • Nurture: 2-4 days apart
  • Long-term: Weekly or bi-weekly

Consider:

  • B2B: Avoid weekends
  • B2C: Test weekends
  • Time zones: Send at local time

Subject Line Strategy

  • Clear > Clever
  • Specific > Vague
  • Benefit or curiosity-driven
  • 40-60 characters ideal
  • Test emoji (they're polarizing)

Patterns that work:

  • Question: "Still struggling with X?"
  • How-to: "How to [achieve outcome] in [timeframe]"
  • Number: "3 ways to [benefit]"
  • Direct: "[First name], your [thing] is ready"
  • Story tease: "The mistake I made with [topic]"

Preview Text

  • Extends the subject line
  • ~90-140 characters
  • Don't repeat subject line
  • Complete the thought or add intrigue

Sequence Types Overview

Welcome Sequence (Post-Signup)

Length: 5-7 emails over 12-14 days

Goal: Activate, build trust, convert

Key emails:

  1. Welcome + deliver promised value (immediate)
  2. Quick win (day 1-2)
  3. Story/Why (day 3-4)
  4. Social proof (day 5-6)
  5. Overcome objection (day 7-8)
  6. Core feature highlight (day 9-11)
  7. Conversion (day 12-14)

Lead Nurture Sequence (Pre-Sale)

Length: 6-8 emails over 2-3 weeks

Goal: Build trust, demonstrate expertise, convert

Key emails:

  1. Deliver lead magnet + intro (immediate)
  2. Expand on topic (day 2-3)
  3. Problem deep-dive (day 4-5)
  4. Solution framework (day 6-8)
  5. Case study (day 9-11)
  6. Differentiation (day 12-14)
  7. Objection handler (day 15-18)
  8. Direct offer (day 19-21)

Re-Engagement Sequence

Length: 3-4 emails over 2 weeks

Trigger: 30-60 days of inactivity

Goal: Win back or clean list

Key emails:

  1. Check-in (genuine concern)
  2. Value reminder (what's new)
  3. Incentive (special offer)
  4. Last chance (stay or unsubscribe)

Onboarding Sequence (Product Users)

Length: 5-7 emails over 14 days

Goal: Activate, drive to aha moment, upgrade

Note: Coordinate with in-app onboarding—email supports, doesn't duplicate

Key emails:

  1. Welcome + first step (immediate)
  2. Getting started help (day 1)
  3. Feature highlight (day 2-3)
  4. Success story (day 4-5)
  5. Check-in (day 7)
  6. Advanced tip (day 10-12)
  7. Upgrade/expand (day 14+)

For detailed templates: See [references/sequence-templates.md](references/sequence-templates.md)


Email Types by Category

Onboarding Emails

  • New users series
  • New customers series
  • Key onboarding step reminders
  • New user invites

Retention Emails

  • Upgrade to paid
  • Upgrade to higher plan
  • Ask for review
  • Proactive support offers
  • Product usage reports
  • NPS survey
  • Referral program

Billing Emails

  • Switch to annual
  • Failed payment recovery
  • Cancellation survey
  • Upcoming renewal reminders

Usage Emails

  • Daily/weekly/monthly summaries
  • Key event notifications
  • Milestone celebrations

Win-Back Emails

  • Expired trials
  • Cancelled customers

Campaign Emails

  • Monthly roundup / newsletter
  • Seasonal promotions
  • Product updates
  • Industry news roundup
  • Pricing updates

For detailed email type reference: See [references/email-types.md](references/email-types.md)


Email Copy Guidelines

Structure

  1. Hook: First line grabs attention
  2. Context: Why this matters to them
  3. Value: The useful content
  4. CTA: What to do next
  5. Sign-off: Human, warm close

Formatting

  • Short paragraphs (1-3 sentences)
  • White space between sections
  • Bullet points for scanability
  • Bold for emphasis (sparingly)
  • Mobile-first (most read on phone)

Tone

  • Conversational, not formal
  • First-person (I/we) and second-person (you)
  • Active voice
  • Read it out loud. Does it sound like a person?

No AI Tells

Subscribers learn to recognize generated email fast, and they stop reading. Write from the specific thing you want them to know or do.

Never write these:

  • Contrast reveals: "It's not X, it's Y." "Not because X. Because Y." State Y directly, with the reason.
  • Negation lists: "No X, no Y, no Z." Say what does happen. One plain absence ("No card required") is fine.
  • Trailing pile-ons: a full claim, then a comma and more restating clauses. End the sentence at the claim.
  • Self-answered questions and colon reveals: "The result? 3x faster." "The best part: it learns." FAQ questions and a question in the reader's own voice are fine.
  • Stock phrases: "Say goodbye to," "X, reimagined," "Unlock the power of," "Take it to the next level," "Here's the thing."
  • Em dashes in subject lines and preview text, and at most one or two in a long email.

Email-specific tells:

  • Subject-line bait: fake "Re:" or "Fwd:", "You won't believe...", "🔥 Big news." The subject should hold up if it's the only line they read.
  • Stock openers: "I hope this email finds you well," "Just checking in," "Great news!" Open with the reason you're writing.
  • Sign-off filler: "Feel free to reach out if you have any questions." Ask for one specific action, or end.

For the full blacklist, use the copywriting skill's AI-tells reference.

Length

  • 50-125 words for transactional
  • 150-300 words for educational
  • 300-500 words for story-driven

CTA Guidelines

  • Buttons for primary actions
  • Links for secondary actions
  • One clear primary CTA per email
  • Button text: Action + outcome

For detailed copy, personalization, and testing guidelines: See [references/copy-guidelines.md](references/copy-guidelines.md)


Output Format

Sequence Overview

Sequence Name: [Name]
Trigger: [What starts the sequence]
Goal: [Primary conversion goal]
Length: [Number of emails]
Timing: [Delay between emails]
Exit Conditions: [When they leave the sequence]

For Each Email

Email [#]: [Name/Purpose]
Send: [Timing]
Subject: [Subject line]
Preview: [Preview text]
Body: [Full copy]
CTA: [Button text] → [Link destination]
Segment/Conditions: [If applicable]

Metrics Plan

What to measure and benchmarks


Task-Specific Questions

  1. What triggers entry to this sequence?
  2. What's the primary goal/conversion action?
  3. What do they already know about you?
  4. What other emails are they receiving?
  5. What's your current email performance?

Tool Integrations

For implementation, see the tools registry. Key email tools:

ToolBest ForMCPGuide
Customer.ioBehavior-based automation-customer-io.md
MailchimpSMB email marketing✓mailchimp.md
NitrosendAI-native email (sequences via prompts)✓nitrosend.md
ResendDeveloper-friendly transactional✓resend.md
SendGridTransactional email at scale-sendgrid.md
KitCreator/newsletter focused-kit.md

Related Skills

  • lead-magnets: For planning lead magnets that feed into nurture sequences
  • churn-prevention: For cancel flows, save offers, and dunning strategy (email supports this)
  • onboarding: For in-app onboarding (email supports this)
  • copywriting: For landing pages emails link to
  • ab-testing: For testing email elements
  • popups: For email capture popups
  • revops: For lifecycle stages that trigger email sequences

质量与来源

所属仓库
coreyhaines31/marketingskills
仓库星标
5.4 万
最近更新
3 天前
采集时间
今天
commit
1efedbc5148b
内容指纹
sha256:0d27de40c2eb32e
文件路径
skills/emails/SKILL.md

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When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
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When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' 'static ads,' 'ad templates,' 'iMessage ad,' 'chat reveal ad,' 'ChatGPT ad,' 'Apple Notes ad,' 'AirDrop ad,' 'creative strategy,' 'creative roadmap,' 'creative retro,' 'hook writing,' 'creative review page,' 'present ad creative for approval,' 'motion video ad,' 'faceless video ad,' 'UGC ad,' 'greenscreen ad,' 'TikTok/Reels ad format,' 'which ad format to make,' 'Meta ad format tier list,' or 'creative format taxonomy.' Use it to produce or iterate ad copy at scale. Copy avoids AI tells like 'it's not X, it's Y' reveals. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.
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ads
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based marketing,' 'B2B ads,' 'lead quality,' 'negative keywords,' 'Performance Max,' 'thought leader ads,' 'when should I kill an ad,' 'search terms report,' 'wasted spend,' or 'is this campaign working.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro. For outbound to target accounts, see cold-email.
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ai-seo
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'llms-full.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' 'agent-readable site,' 'agent readiness,' 'is my site agent-ready,' 'WebMCP,' 'do listicles still work for AI,' 'ChatGPT stopped citing comparison pages,' 'how do LLMs see our brand,' 'LinkedIn for AEO,' or 'AI citation format shift.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
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When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.
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