Agent skill

Email Sequence

by borghei in borghei/Claude-Skills

Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing.

MITAuto-check passedMarketing & SEO

Install Email Sequence

skills CLI
$ npx skills add borghei/Claude-Skills --skill email-sequence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills email-sequence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/email-sequence .claude/skills/email-sequence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
email-sequence
GitHub stars
874
Token cost
~4.2k tokens
SKILL.md length
1,858 words
Files
4 (incl. scripts)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing.

  • Works in 7 steps: Define Sequence Architecture → Map the Emotional Journey → Write Each Email → …
  • Building drip campaigns
  • SKILL.md covers Overview, Sequence Types, Clarify First and Design Process, plus 9 more sections
  • Runs Python scripts from its folder; calls python

What it does

Email Sequence is an agent skill from borghei/Claude-Skills. Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing. Use when building drip campaigns or designing lifecycle email.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `scripts/performance_analyzer.py`, `scripts/sequence_mapper.py` and `scripts/subject_line_scorer.py`).

It sits in Marketing & SEO, covering Email marketing. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Building drip campaigns
  • Designing lifecycle email

Example prompts

  • “/email-sequence”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Define Sequence Architecture
  2. Map the Emotional Journey
  3. Write Each Email
  4. Define Branching Logic
  5. Subject Line Scorer (scripts/subject_line_scorer.py)
  6. Sequence Mapper (scripts/sequence_mapper.py)
  7. Performance Analyzer (scripts/performance_analyzer.py)

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • apple.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Email Sequence loads about 4.2k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,858 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 1,858 words, ~4,216 tokens.

Download SKILL.mdSave it as .claude/skills/email-sequence/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
email-sequence
description
Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing. Use when building drip campaigns or designing lifecycle email.
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
marketing
metadata.domain
email-marketing
metadata.updated
2026-09-21
metadata.frameworks
email-automation, lifecycle-marketing, drip-campaigns

Email Sequence Design

Category: Marketing Tags: email sequences, drip campaigns, nurture flows, onboarding emails, lifecycle marketing, automation

Overview

Email Sequence Design creates complete, ready-to-implement email automation flows. Every output includes subject lines, preview text, full body copy, CTAs, send timing, and exit conditions. The goal is sequences that nurture relationships and drive specific conversion actions -- not just "stay top of mind" email noise.

This skill writes the sequences. For email HTML templates and rendering infrastructure, use email-template-builder. For tracking email performance, use analytics-tracking.


Sequence Types

TypeTriggerGoalTypical Length
Welcome/OnboardingNew signupActivate user, show core value5-7 emails over 14 days
Trial ExpirationTrial nearing endConvert to paid4-5 emails over 7 days
Lead NurtureContent download, webinarQualify and convert6-8 emails over 30 days
Re-engagementInactive 30+ daysBring back or clean list3-4 emails over 14 days
Post-PurchaseSubscription startReduce churn, expand4-6 emails over 30 days
Event-BasedSpecific user actionDrive next action2-3 emails over 7 days
Sales (Warm)MQL or PQL signalBook meeting or start trial4-5 emails over 14 days

Clarify First

Before designing the sequence, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Sequence type & trigger — welcome, trial expiration, nurture, re-engagement, sales (selects the blueprint, length, and cadence)
  • Primary conversion goal — the single action the sequence drives (sets every email's CTA and the emotional journey)
  • Audience & product context — SaaS/B2B persona and awareness level (drives copy, benchmarks, and segmentation)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Design Process

Step 1: Define Sequence Architecture

Before writing any email, define the architecture:

Sequence Name:     [Name]
Trigger:           [What starts the sequence]
Primary Goal:      [Single conversion action]
Secondary Goals:   [Relationship building, data collection]
Length:            [Number of emails]
Duration:          [Total time span]
Exit Conditions:   [When they leave the sequence]
Suppression:       [Other sequences to suppress while active]
Step 2: Map the Emotional Journey

Each email serves a purpose in a progression:

EmailEmotional StatePurposeKey Message
1Curious, uncertainWelcome, set expectations"Here's what to expect"
2Exploring, evaluatingDemonstrate core value"Here's the one thing to try first"
3Engaged or dropping offSocial proof"Here's how others succeeded"
4Considering commitmentRemove objections"Common concerns addressed"
5Ready to decideCreate urgency"Your trial ends in X days"
Step 3: Write Each Email

For every email in the sequence, deliver:

Email [#]: [Name/Purpose]
Send:     [Timing from trigger or previous email]
Segment:  [Conditions -- who receives this variant]

Subject:  [Subject line - under 50 characters]
Preview:  [Preview text - 80-120 characters, complements subject]

Body:
[Complete copy -- not an outline, not bullets, the actual words]

CTA:      [Button text] → [Destination URL]
P.S.:     [Optional -- works for urgency or human touch]
Step 4: Define Branching Logic

Not everyone follows the same path. Define branches:

After Email 2:
  IF user activated core feature → Skip to Email 4 (post-activation)
  IF user has not logged in → Send Email 2B (re-engagement variant)
  IF user unsubscribed → Exit sequence

After Email 4:
  IF user converted → Exit sequence, enter post-purchase sequence
  IF user visited pricing 2+ times → Send Email 4B (pricing objection handler)
  ELSE → Continue to Email 5

Sequence Blueprints

Blueprint: SaaS Welcome/Onboarding (7 emails, 14 days)
EmailDaySubjectPurpose
10 (immediate)Welcome to [Product] -- start hereSet expectations, one CTA to activate
21The one feature that changes everythingDrive to core value action
33How [Company] got [Result] in [Timeframe]Social proof, case study
45Quick questionCheck engagement, offer help
573 things you might have missedFeature discovery, breadth
610Your trial is halfway doneProgress report, urgency
713Last day of your trialConvert or lose access

Exit conditions: User converts to paid at any point, user unsubscribes, user explicitly requests removal.

Branching:

  • After Email 2: If user completed core action, skip Email 3, go to Email 4
  • After Email 4: If user has not logged in for 5+ days, switch to re-engagement variant
  • After Email 6: If user visited pricing page, send pricing-focused Email 7 variant
Blueprint: Lead Nurture (6 emails, 30 days)
EmailDaySubjectPurpose
10Your [resource name] is readyDeliver promised content
23The mistake most [role] make with [topic]Educational, establish authority
37[Company] went from [problem] to [result]Case study, social proof
414The [topic] framework we use internallyExclusive value, reciprocity
521Quick question about [their challenge]Personal, segmentation
628See if [Product] is right for youSoft CTA, demo or trial

Exit conditions: Books demo, starts trial, unsubscribes, or completes sequence.

Blueprint: Re-engagement (4 emails, 14 days)
EmailDaySubjectPurpose
10We noticed you've been awayAcknowledge absence, show value
23Here's what you missedProduct updates, new features
37[Exclusive offer or incentive]Incentivize return
414Should we stop emailing you?Clean list, last chance

Critical rule: If no engagement after Email 4, remove from active email list. Sending to unengaged contacts damages sender reputation.

Blueprint: Trial Expiration (5 emails, 7 days)
EmailDay Before ExpirySubjectPurpose
17Your trial ends in one weekAwareness, usage summary
23Here's what you'll lose access toLoss aversion, feature list
31Tomorrow is your last dayUrgency, simple CTA
40Your trial just endedConversion, offer extension option
5+3We saved your data for 30 daysLast chance, data retention

Subject Line Framework

Formulas That Work
FormulaExampleWhy It Works
How [company] [achieved result]"How Stripe reduced churn 23%"Specific, curiosity, social proof
The [number] [thing] [audience] [needs]"The 3 metrics every PM tracks"Specific, relevant, scannable
Quick question about [topic]"Quick question about your trial"Personal, non-threatening
[Name], [action-oriented statement]"Sarah, your dashboard is ready"Personal, action-oriented
Your [asset] is [status]"Your free trial ends tomorrow"Ownership, urgency
Subject Line Rules
  1. Under 50 characters (mobile truncation happens at 35-45)
  2. No ALL CAPS words
  3. No excessive punctuation (!!!)
  4. No spam trigger words in subject: free, guarantee, limited time, act now
  5. Preview text must complement, not repeat, the subject
  6. A/B test subject lines on every sequence (minimum 3 variants per email)

Timing & Cadence

Optimal Send Times (B2B SaaS)
DayTime WindowNotes
Tuesday9-11 AM recipient's timezoneHighest open rates
Wednesday9-11 AMSecond best
Thursday9-11 AMGood for follow-ups
Monday10 AM-12 PMAfter inbox clearing
FridayAvoid for important emailsLow engagement
WeekendAvoid for B2BException: consumer products
Sequence Spacing Rules
  • Welcome email: Immediate (within 5 minutes of trigger)
  • Onboarding emails: Every 1-3 days (maintain momentum)
  • Nurture emails: Every 3-7 days (avoid fatigue)
  • Re-engagement: Every 3-5 days (test urgency vs respect)
  • Trial expiration: Accelerating cadence (7 days, 3 days, 1 day, 0, +3)

Metrics & Benchmarks

Expected Performance by Sequence Type
MetricWelcomeNurtureRe-engagementTrial Expiration
Open rate (directional only)50-70%25-40%15-25%40-60%
Click rate10-20%3-8%2-5%8-15%
Conversion rate5-15%1-3%3-8%10-25%
Unsubscribe rate<0.5%<0.3%1-3%<0.5%

Open rates are inflated and unreliable. Apple Mail Privacy Protection downloads remote content (including tracking pixels) in the background by default, whether or not the recipient reads the email (Apple — Mail Privacy Protection). Opens from Apple Mail users register as "opens" regardless of engagement, and some security scanners do the same. Treat opens as a directional signal only; judge sequences on clicks, replies, conversions, unsubscribes/complaints, and inbox placement. Exclude machine opens (where your ESP flags them) before comparing to any open-rate benchmark.

Show full SKILL.md (747 more words)Show less
Health Indicators
SignalMeaningAction
Click rate declining across sequenceFatigue or irrelevanceShorten sequence, sharpen each email's single CTA
High opens, low clicksBody/CTA doesn't land — or opens are machine-inflated (Apple MPP)Check opens excluding machine opens; rewrite body copy, simplify CTA
High click rate, low conversionLanding page problemAudit post-click experience
Rising unsubscribes after Email 3Too frequent or too salesyIncrease spacing, add more value
Email 1 low clicks and replies, or rising spam-folder placementDeliverability issueRun an inbox placement / seed test, check sender reputation (e.g., Google Postmaster Tools) and SPF/DKIM/DMARC

Segmentation Strategy

Behavioral Segments
SegmentDefinitionSequence Adjustment
Power usersUsed core feature 5+ timesSkip beginner content, focus on advanced features
Window shoppersSigned up, never activatedMore hand-holding, simpler first steps
Pricing page visitorsViewed pricing 2+ timesAddress pricing objections directly
Feature explorersUsed 3+ featuresHighlight integration and workflow value
Ghost usersNo login in 7+ daysRe-engagement sequence
Personalization Tiers
TierEffortImpactExample
1: Name + companyLowModerate"Hi Sarah, how's the Acme team finding..."
2: BehavioralMediumHigh"Since you set up your first project..."
3: Segment-specific copyHighHighestEntirely different email body per segment

Implementation Checklist

  • Sequence architecture documented (trigger, goal, length, exits)
  • All emails written with subject, preview, body, CTA
  • Branching logic defined for key decision points
  • Subject line A/B variants created (minimum 3 per email)
  • UTM parameters configured for all links
  • Suppression rules set (no overlapping sequences)
  • Unsubscribe handling confirmed (one-click, CAN-SPAM compliant)
  • Plain text version created for each email
  • Send time optimized for recipient timezone
  • Metrics dashboard configured (clicks, replies, conversions, unsubs, complaints; opens as directional only)
  • 30-day post-launch review scheduled

Proactive Triggers

  • User mentions low trial-to-paid conversion: ask about trial expiration email sequence before recommending pricing changes
  • User reports high open rates but low clicks: diagnose body copy and CTA before blaming subject lines
  • User wants to "do email marketing": clarify sequence type before writing anything
  • User has a product launch coming: recommend coordinating launch email sequence with in-app messaging
  • User mentions list going cold: suggest re-engagement sequence before recommending acquisition spend

SkillUse When
email-template-builderBuilding HTML email templates and rendering infrastructure
analytics-trackingSetting up email click tracking and UTM attribution
launch-strategyCoordinating email sequences around product launches
content-creatorWriting landing page copy that email CTAs point to
ab-test-setupDesigning statistically valid email A/B tests

Troubleshooting

SymptomLikely CauseFix
Welcome email low click rate or poor inbox placementDeliverability issue or weak subject/offerRun an inbox placement test; check sender reputation and SPF/DKIM/DMARC. Test subject variants and judge them on clicks, not opens.
Clicks declining across sequenceFatigue or irrelevanceShorten sequence, improve subject lines, or add more value per email.
High opens, low clicksBody copy or CTA is weak, or opens inflated by Apple MPPCheck machine-open-excluded opens; rewrite body with stronger benefit and simplify CTA to one action.
High click rate, low conversionLanding page problemAudit post-click experience: message match, page speed, form friction.
Rising unsubscribes after email 3Too frequent or too salesyIncrease spacing between emails and add more educational content.
Emails clipped by GmailHTML template over 102KBUse render_size_analyzer.py from email-template-builder to reduce size.
Sequence not triggeringAutomation platform misconfigurationVerify trigger events, check suppression rules for conflicts.

Success Criteria

  • Welcome sequence click rate above 10% (benchmark: 10-20%); opens tracked directionally only (inflated by Apple Mail Privacy Protection)
  • Inbox placement verified with a seed/placement test before launch and after major volume changes
  • Nurture sequence click-through rate above 3% (benchmark: 3-8%)
  • Trial expiration conversion rate above 10% (benchmark: 10-25%)
  • Unsubscribe rate below 0.5% per email (below 0.3% for nurture)
  • Every email has 3+ subject line A/B variants tested
  • Branching logic covers at least 2 behavioral segments per sequence
  • Sequence-level conversion rate (total conversions / initial sends) above 5%

Scope & Limitations

In Scope: Lifecycle email sequence design, copy, timing, branching logic, segmentation, and performance optimization for SaaS/B2B.

Out of Scope: Email HTML rendering (use email-template-builder), cold outreach sequences (use cold-email), marketing automation platform setup, transactional email infrastructure.

Limitations: Benchmarks are SaaS/B2B focused. Adjust thresholds for e-commerce, consumer, or other verticals.


Python Automation Tools

1. Subject Line Scorer (scripts/subject_line_scorer.py)

Scores sequence email subject lines for open-rate potential and auto-detects sequence type (welcome, trial, nurture, re-engagement).

bash
python scripts/subject_line_scorer.py "Your trial ends tomorrow"
python scripts/subject_line_scorer.py --file subjects.txt --json
2. Sequence Mapper (scripts/sequence_mapper.py)

Generates a visual sequence map with timing, branching logic, and exit conditions from a sequence definition.

bash
python scripts/sequence_mapper.py sequence_def.json
python scripts/sequence_mapper.py --sample --json
3. Performance Analyzer (scripts/performance_analyzer.py)

Analyzes email sequence metrics against benchmarks, identifies bottlenecks, and recommends optimizations.

bash
python scripts/performance_analyzer.py metrics.json
python scripts/performance_analyzer.py --sample --json

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts) in marketing/email-sequence of borghei/Claude-Skills.

  • SKILL.md
  • scripts/performance_analyzer.py
  • scripts/sequence_mapper.py
  • scripts/subject_line_scorer.py

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Email Sequence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Email Sequencefreekmurze/dotfiles1k18 repos~2kAutomated safety check: PassNone
Email SequenceLeoYeAI/openclaw-marketing-skills1k2 repos~2.1kAutomated safety check: PassCustom licence
Onboarding Crofreekmurze/dotfiles1k15 repos~1.6kAutomated safety check: PassNone
Marketing OsYuzzyuk/marketing-os535—~2.5kAutomated safety check: PassMIT
OnboardingNexus-JPF/note-companion8693 repos~1.6kAutomated safety check: PassMIT

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Categories

Questions about Email Sequence

What does Email Sequence do?

Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing. Email Sequence is an agent skill from borghei/Claude-Skills. Design and write email automation sequences (welcome/onboarding, nurture, re-engagement, trial expiration, sales) for SaaS and B2B, with subject lines, copy, CTAs, and timing.

When should I use Email Sequence?

Email Sequence fits situations like: building drip campaigns; designing lifecycle email.

How do I install Email Sequence in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill email-sequence -a claude-code`. Or copy the skill folder (marketing/email-sequence in borghei/Claude-Skills) into .claude/skills/email-sequence in your project. Claude Code loads it when a task matches its description.

How do I install Email Sequence in Codex?

Run `npx skills add borghei/Claude-Skills --skill email-sequence -a codex`. Or copy the skill folder (marketing/email-sequence in borghei/Claude-Skills) into .agents/skills/email-sequence in your project. Codex loads it when a task matches its description.

Can I use Email Sequence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill email-sequence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/email-sequence, .gemini/skills/email-sequence, .github/skills/email-sequence and .opencode/skills/email-sequence in your project.

What does Email Sequence need to run?

Going by SKILL.md and its folder, Email Sequence needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Email Sequence access the network?

SKILL.md names 1 domain. As links in the text: apple.com. This is read from the text; nothing was executed.

Is Email Sequence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Email Sequence use?

Email Sequence is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Email Sequence use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Email Sequence?

Skills that share tags, products or a category with Email Sequence: Email Sequence (freekmurze/dotfiles, 1k stars), Email Sequence (LeoYeAI/openclaw-marketing-skills, 1k stars), Onboarding Cro (freekmurze/dotfiles, 1k stars) and Marketing Os (Yuzzyuk/marketing-os, 535 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Email Sequence?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.