email-sequence

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill email-sequence
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summary

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

skill.md

Email Sequence

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Design and draft complete email sequences with full copy, timing, branching logic, and performance benchmarks for any lifecycle or campaign use case.

Trigger

User runs /email-sequence or asks to create, design, build, or draft an email sequence, drip campaign, nurture flow, or onboarding series.

Inputs

Gather the following from the user. If not provided, ask before proceeding:

  1. Sequence type — one of:

    • Onboarding
    • Lead nurture
    • Re-engagement
    • Product launch
    • Event follow-up
    • Upgrade/upsell
    • Win-back
    • Educational drip
  2. Goal — what the sequence should achieve (e.g., activate new users, convert leads to customers, reduce churn, drive event attendance, upsell to a higher tier)

  3. Audience — who receives this sequence, what stage they are at, and any relevant segmentation details (role, industry, behavior triggers, lifecycle stage)

  4. Number of emails (optional) — if not specified, recommend a count based on the sequence type using the templates in the Sequence Type Templates section below

  5. Timing/cadence preferences (optional) — desired spacing between emails (e.g., "every 3 days", "weekly", "aggressive first week then taper off")

  6. Brand voice — if configured in local settings, apply automatically and inform the user. If not configured, ask: "Do you have brand voice guidelines I should follow? If not, I'll use a clear, conversational professional tone."

  7. Additional context (optional):

    • Specific offers, discounts, or incentives to include
    • CTAs or landing pages to link to
    • Content assets available (blog posts, case studies, videos, guides)
    • Product features to highlight
    • Competitor differentiators to reference

Process

1. Sequence Strategy

Before drafting any emails, define the overall sequence architecture:

  • Narrative arc — what story does this sequence tell across all emails? What is the emotional and logical progression from first email to last?
  • Journey mapping — map each email to a stage of the buyer or user journey (awareness, consideration, decision, activation, expansion)
  • Escalation logic — how does the intensity, urgency, or value of each email build on the previous one?
  • Success definition — what specific action signals that the sequence has done its job and the recipient should exit?

2. Individual Email Design

For each email in the sequence, produce:

Subject Line

  • Provide 2-3 options per email
  • Vary approaches: curiosity, benefit-driven, urgency, personalization, question-based
  • Keep under 50 characters where possible; note preview behavior on mobile

Preview Text

  • 40-90 characters that complement (not repeat) the subject line
  • Should add context or intrigue that increases open likelihood

Email Purpose

  • One sentence explaining why this email exists and what it moves the recipient toward

Body Copy

  • Full draft ready to use
  • Clear hierarchy: hook, body, CTA
  • Short paragraphs (2-3 sentences max)
  • Scannable formatting with bold key phrases where appropriate
  • Personalization tokens where relevant (e.g., first name, company name, product used)

Primary CTA

  • Button text and destination
  • One primary CTA per email (secondary CTA only if appropriate for the sequence stage)

Timing

  • Days after the trigger event or after the previous email
  • Note if timing should adjust based on engagement (e.g., "send sooner if they opened but did not click")

Segment/Condition Notes

  • Who receives this email vs. who skips it
  • Any behavioral or attribute-based conditions (e.g., "only send to users who have not completed setup")

3. Sequence Logic

Define the flow control for the sequence:

  • Branching conditions — alternate paths based on engagement. For example:
    • "If opened email 2 but did not click CTA, send email 2b (softer re-ask) instead of email 3"
    • "If clicked CTA in email 1, skip email 2 and go directly to email 3"
  • Exit conditions — when a recipient converts (completes the desired action), remove them from the sequence. Define what "conversion" means for this sequence.
  • Re-entry rules — can someone re-enter the sequence? Under what conditions? (e.g., "if a user churns again 90 days later, re-enter the win-back sequence")
  • Suppression rules — do not send if the recipient is already in another active sequence, has unsubscribed from marketing, or has contacted support in the last 48 hours

4. Performance Benchmarks

Provide expected benchmarks based on the sequence type so the user can set targets:

Metric Onboarding Lead Nurture Re-engagement Win-back
Open rate 50-70% 20-30% 15-25% 15-20%
Click-through rate 10-20% 3-7% 2-5% 2-4%
Conversion rate 15-30% 2-5% 3-8% 1-3%
Unsubscribe rate <0.5% <0.5% 1-2% 1-3%

Adjust benchmarks based on industry and audience if the user has provided that context.

Sequence Type Templates

Use these as starting frameworks. Adapt length and content based on the user's goal and audience.

Onboarding (5-7 emails over 14-21 days): Welcome and set expectations -- Quick win to demonstrate value -- Core feature deep dive -- Advanced feature or integration -- Social proof and community -- Check-in and feedback request -- Upgrade prompt or next steps

Lead Nurture (4-6 emails over 3-4 weeks): Value-first educational content -- Pain point identification -- Solution positioning with proof -- Social proof and results -- Soft CTA (trial, demo, resource) -- Direct CTA (buy, book, sign up)

Re-engagement (3-4 emails over 10-14 days): "We miss you" with a compelling reason to return -- Value reminder highlighting what they are missing -- Incentive or exclusive offer -- Last chance with clear deadline

Win-back (3-5 emails over 30 days): Friendly check-in asking what went wrong -- What is new since they left -- Special offer or incentive to return -- Feedback request (even if they do not come back) -- Final goodbye with door open

Product Launch (4-6 emails over 2-3 weeks): Teaser or pre-announcement -- Launch announcement with full details -- Feature spotlight or use case -- Social proof and early results -- Limited-time offer or bonus -- Last chance or reminder

Event Follow-up (3-4 emails over 7-10 days): Thank you with key takeaways or recordings -- Resource roundup from the event -- Related offer or next step -- Feedback survey

Upgrade/Upsell (3-5 emails over 2-3 weeks): Usage milestone or success celebration -- Feature gap or limitation they are hitting -- Upgrade benefits with proof -- Limited-time incentive -- Direct comparison of plans

Educational Drip (5-8 emails over 4-6 weeks): Introduction and what they will learn -- Lesson 1: foundational concept -- Lesson 2: intermediate concept -- Lesson 3: advanced concept -- Practical application or exercise -- Resource roundup -- Graduation and next steps

Tool Integration

If ~~email marketing is connected (e.g., Klaviyo, Mailchimp, Customer.io)

  • Reference how to set up the sequence as a flow or automation in the platform
  • Note any platform-specific features to use (e.g., smart send time, conditional splits, A/B testing)
  • Map the branching logic to the platform's visual flow builder concepts

If ~~marketing automation or ~~CRM is connected (e.g., HubSpot, Marketo)

  • Reference lead scoring data to inform segmentation and exit conditions
  • Use lifecycle stage data to tailor messaging per segment
  • Note how to set enrollment triggers based on CRM properties or list membership

If no tools are connected

  • Deliver all email content in copy-paste-ready format
  • Include a setup checklist the user can follow in any email platform:
    1. Create the automation or flow
    2. Set the enrollment trigger
    3. Add each email with the specified delays
    4. Configure branching and exit conditions
    5. Set up tracking for the recommended metrics

Output

Present the complete sequence with the following sections:

Sequence Overview Table

# Subject Line Purpose Timing Primary CTA Condition

Full Email Drafts

Each email with subject line options, preview text, purpose, body copy, CTA, timing, and segment notes.

Sequence Flow Diagram

A text-based diagram showing the email flow, branching paths, and exit points. Use a clear format such as:

[Trigger] --> Email 1 (Day 0)
                |
          Opened? --Yes--> Email 2 (Day 3)
                |              |
                No        Clicked CTA? --Yes--> [EXIT: Converted]
                |              |
                v              No
          Email 1b (Day 2)     |
                |              v
                +--------> Email 3 (Day 7)
                               |
                               v
                          Email 4 (Day 10)
                               |
                          [EXIT: Sequence complete]

Branching Logic Notes

Summary of all conditions, exits, and suppressions in a reference list.

A/B Test Suggestions

  • 2-3 recommended A/B tests (subject lines, CTA text, send time, email length)
  • What to test, how to split, and how to measure the winner

Metrics to Track

  • Primary conversion metric for the sequence
  • Per-email metrics: open rate, CTR, unsubscribe rate
  • Sequence-level metrics: overall conversion rate, time to conversion, drop-off points
  • Recommended review cadence (e.g., "Review performance weekly for the first month, then monthly")

After the Sequence

Ask: "Would you like me to:

  • Revise the copy or tone for any specific email?
  • Add a branching path for a specific scenario?
  • Create a variation of this sequence for a different audience segment?
  • Draft the A/B test variants for the subject lines?
  • Build a companion sequence (e.g., a post-purchase follow-up after this lead nurture converts)?"
how to use email-sequence

How to use email-sequence on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add email-sequence
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill email-sequence

The skills CLI fetches email-sequence from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/email-sequence

Reload or restart Cursor to activate email-sequence. Access the skill through slash commands (e.g., /email-sequence) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.626 reviews
  • Alexander Gonzalez· Dec 24, 2024

    Registry listing for email-sequence matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Nikhil Thomas· Dec 16, 2024

    Solid pick for teams standardizing on skills: email-sequence is focused, and the summary matches what you get after install.

  • Chen Dixit· Nov 7, 2024

    I recommend email-sequence for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • James Malhotra· Oct 26, 2024

    Keeps context tight: email-sequence is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Layla Gill· Sep 13, 2024

    Solid pick for teams standardizing on skills: email-sequence is focused, and the summary matches what you get after install.

  • Yash Thakker· Sep 1, 2024

    email-sequence reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Aug 20, 2024

    We added email-sequence from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Layla Bansal· Aug 4, 2024

    email-sequence is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kwame Martinez· Jul 23, 2024

    Keeps context tight: email-sequence is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Jul 11, 2024

    Useful defaults in email-sequence — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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