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Email Sequence

Community
indranilbanerjee
email-sequence

Design an ESP-ready email sequence: subjects, copy, timing, branching, deliverability. "build a welcome sequence"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill nameemail-sequence
Stars
866
Forks
138
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by indranilbanerjee on GitHub. Read the source before you install it.

Installation

Install the Email 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.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/email-sequence
  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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/email-sequence .claude/skills/email-sequence
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email 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 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 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.

/digital-marketing-pro:email-sequence

Purpose

Design a full email sequence ready for implementation in any ESP. Includes subject lines, preview text, body copy, send timing, segmentation rules, and deliverability best practices.

Input Required

The user must provide (or will be prompted for):

  • Sequence type: Welcome, nurture, onboarding, re-engagement, cart abandonment, post-purchase, event, promotional
  • Goal: What the sequence should achieve (activate, convert, retain, upsell, educate)
  • Audience segment: Who receives this sequence and entry trigger
  • Number of emails: Desired count or let the system recommend
  • Key messages/offers: Core value props, promotions, or content to include
  • Existing ESP: Platform in use (Klaviyo, Mailchimp, HubSpot, etc.) for format guidance

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Map the sequence to the customer journey stage and define the narrative arc
  3. Determine optimal email count and send cadence based on sequence type
  4. Write each email: subject line (2-3 options), preview text, body copy with clear CTA
  5. Define segmentation and branching logic (open/click triggers, conditional paths)
  6. Apply deliverability checks: spam trigger words, link density, image-to-text ratio, authentication reminders, and the bulk-sender checklist below
  7. Add personalization tokens and dynamic content recommendations
  8. Review full sequence for brand voice consistency and regulatory compliance (CAN-SPAM, GDPR)

Bulk-sender deliverability checklist (Gmail / Yahoo / Outlook)

Any brand sending at bulk volume (~5,000+ messages/day to a mailbox provider) must meet the mailbox-provider sender requirements or mail is throttled or rejected. Bake these into the sequence's implementation notes (ported from /digital-marketing-pro:send-email-campaign, with Outlook 2025 added):

  • Authenticate the sending domain: SPF and DKIM and a published DMARC policy (at least p=none, aligned) — required by Gmail & Yahoo (Feb 2024) and Microsoft Outlook / Outlook.com (rolling out through 2025 for senders ≥5,000/day).
  • One-click unsubscribe: include the List-Unsubscribe header with one-click support (RFC 8058), and honour opt-outs within 2 days. A visible unsubscribe link in the body is still required in addition.
  • Keep the spam-complaint rate under 0.3% (measured in Google Postmaster Tools / Yahoo / Microsoft SNDS) — ideally under 0.1%.
  • Send from a consistent, PTR/reverse-DNS-valid IP over TLS, with a warmed-up sending domain and consistent from-address.
  • Physical mailing address + accurate From/Reply-To identity in every message (CAN-SPAM), and documented opt-in consent per jurisdiction (GDPR / CASL).
  • List hygiene: suppress hard bounces and inactive addresses; never send to purchased lists.

For per-type email counts and cadence, the per-email blueprint, branching/exit/suppression rules, the per-email deliverability checklist, the deliverable layout, and the after-sequence follow-up menu, read sequence-blueprint.md beside this file.

Output

A complete email sequence containing:

  • Sequence overview with goals, audience, and trigger conditions
  • Per-email breakdown: subject lines, preview text, body copy, CTA, send timing
  • Segmentation and branching logic diagram
  • Deliverability checklist per email
  • Personalization and dynamic content recommendations
  • Compliance checklist (unsubscribe, physical address, consent)
  • Performance benchmarks to measure against

Agents Used

  • content-creator — Email copy, subject lines, narrative arc, CTA strategy
  • brand-guardian — Voice consistency, compliance review, regulatory checks
  • email-specialist — Deliverability optimization, send timing strategy, subject line scoring, spam risk analysis, A/B test design

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Email Sequence AI skill do?

Design an ESP-ready email sequence: subjects, copy, timing, branching, deliverability. "build a welcome sequence"

Why use Email Sequence on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/email-sequence. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Email 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 Sequence?

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

Is the Email Sequence AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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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