Email Sequence logo

Email Sequence

Organization
frumu-ai
email-sequence

Design and draft lifecycle email sequences such as welcome, onboarding, nurture, re-engagement, and upgrade flows. Use when defining triggers, sequence maps, email copy, and performance metrics. Produce file-first outputs under scripts/marketing/<slug>/ and align with product marketing context.

Overview

Publisherfrumu-ai
Repositorytandem
Skill nameemail-sequence
Stars
121
Forks
13
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • 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 frumu-ai 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.
  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/frumu-ai/tandem.git /tmp/tandem
mkdir -p .claude/skills
cp -r /tmp/tandem/apps/tandem-desktop/src-tauri/resources/skill-templates/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.

Email Sequence

Build practical lifecycle flows with clear goals and triggers.

Required Inputs

  • Campaign slug
  • Sequence type (welcome, onboarding, nurture, re-engagement, upgrade)
  • Entry trigger
  • Primary conversion objective

Workflow

  1. Read scripts/marketing/_shared/product-marketing-context.md if present. If missing, initialize from references/product-marketing-context-template.md included with this skill.
  2. Define audience state at sequence entry.
  3. Map sequence steps with one job per email.
  4. Draft each email with subject, preview, body, and one CTA.
  5. Add branching logic for key user states when needed.
  6. Define metrics and guardrails for sequence quality.

Output Files

  • scripts/marketing/<slug>/17-email-sequence-map.md
  • scripts/marketing/<slug>/18-email-copy.md
  • scripts/marketing/<slug>/19-email-metrics-plan.md
  • scripts/marketing/<slug>/19-email-qa-checklist.md

QA Checklist

  • Sequence objective and stop conditions are explicit.
  • Each email has one primary job and one main CTA.
  • Timing and cadence are realistic for audience context.
  • Metrics include open, click, conversion, and negative guardrails.

Failure Modes

  • Too many asks per email: reduce to one primary action.
  • Sequence fatigue risk: increase spacing or shorten flow.
  • Misaligned stage messaging: rewrite based on entry trigger state.

Next Skill Routing

  • Run copy-editing for final polish.
  • Run launch-strategy when sequence supports a release campaign.

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 and draft lifecycle email sequences such as welcome, onboarding, nurture, re-engagement, and upgrade flows. Use when defining triggers, sequence maps, email copy, and performance metrics. Produce file-first outputs under scripts/marketing/<slug>/ and align with product marketing context.

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/frumu-ai/tandem/tree/main/apps/tandem-desktop/src-tauri/resources/skill-templates/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?

It is published on GitHub by frumu-ai. Check the repository for licensing terms. 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.

Related AI Skills

View all
mattpocock logo

Scaffold Exercises

mattpocock
CommunityPopular

Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course…

22.3K
264.4K
1 files
View
affaan-m logo

Api Design

affaan-m
CommunityPopular

Patrones de diseño REST API incluyendo nomenclatura de recursos, códigos de estado, paginación, filtrado, respuestas de error, versionado y rate limiting para APIs de producción.

39.1K
261.1K
Instructions
View
affaan-m logo

Backend Patterns

affaan-m
CommunityPopular

Patrones de arquitectura backend, diseño de API, optimización de base de datos y buenas prácticas del lado del servidor para Node.js, Express y rutas API de Next.js.

39.1K
261.1K
Instructions
View
affaan-m logo

Coding Standards

affaan-m
CommunityPopular

Convenciones de codificación base entre proyectos para nomenclatura, legibilidad, inmutabilidad y revisión de calidad de código. Usar skills de frontend o backend para patrones específicos de…

39.1K
261.1K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇