Email Lifecycle Flow Writer logo

Email Lifecycle Flow Writer

OrganizationPopular
gooseworks-ai
email-lifecycle-flow-writer

Step of the email-lifecycle playbook: writes one lifecycle flow as a build sheet for the brand's email tool, every message finished in the brand voice. Run email-lifecycle instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill nameemail-lifecycle-flow-writer
Stars
1.3K
Forks
219
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 gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Email Lifecycle Flow Writer 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/gooseworks-ai/goose-skills/tree/main/skills/marketing/email-lifecycle-flow-writer
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/email-lifecycle-flow-writer .claude/skills/email-lifecycle-flow-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email Lifecycle Flow Writer 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 Lifecycle Flow Writer 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 Lifecycle Flow Writer 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.

flow-writer

Reads: the flow's entry in ../email-lifecycle/references/flow-library.md; ../email-lifecycle/references/loadable-flow-format.md; ../email-lifecycle/references/copy-craft.md; ../email-lifecycle/references/worked-flows.md (quality bar); ../email-lifecycle/references/sms-push-whatsapp.md when the flow has those legs. From the brain: voice, banned words, signed-off claims, product records (price, offers, notes), learnings. From the program sheet: tool and plan, segments, priority map, cap, consent per channel. The standing offer from the shared Standing offer: fact. From the audit: the live flow this replaces, if any.

Does:

  1. Wire it first, in the tool's real syntax (loadable-flow-format.md; when unsure of a tag, name the editor action instead of guessing). Check plan reality: no workflows → a fixed-date sequence becomes scheduled broadcasts with an exclusion list and the sign-up welcome becomes the form's autoresponder, written in the tool's terms (not tool-neutral); only a flow the plan cannot run even that way is said and written tool-neutral. Fill the flow header completely in the tool's own vocabulary: exact trigger name, trigger and flow filters, exit, re-entry, consent, smart sending, quiet hours, priority and suppressions, cap, UTM template, discount object (from offer-math), holdout, A/B test (winner on clicks or orders), build notes. A feature the plan lacks gets its workaround.

  2. Plan the messages. Count and delays from the library, adjusted to this brand's price and cycle (say why if moved). Write one job per message before any copy. Check the sequence reads as a story, not five versions of the same email.

  3. Write each message finished. Subject + 2 alternates, preview, from and reply-to, body blocks, one CTA with full URL, merge tags with fallbacks, dynamic blocks with out-of-stock behaviour, splits with a default branch, image needs with alt text (optional art requests as a line: Graphic needed: for make-static-ads · header art: <flow, message, size, what it shows, alt text> · return to: lifecycle/flows/<flow-slug>.md), a full plain-text version, footer, and the claim id or record behind each factual sentence. Vary length and shape across the flow. For B2B and services default to plain text from a named person.

  4. Self-check against copy-craft.md failure list. Rewrite any hit.

  5. Leave honest gaps. Anything the brain and the marketer have not settled stays a visible [placeholder] with its question at the top of the flow file, and the flow's status line reads not ready: answer Q3, Q5. A flow written against tracking-plan events reads not ready: needs events E1–E3 live; one the plan can't run even with that workaround reads not ready: needs tool decision T1. Only a flow with no open blocker is ready to load (with · switch on after fix #N while authentication is red or unknown); a header-art request never blocks it. Never invent a fact, an offer, a review, a count or an existing event name; events that do not exist yet go into the tracking plan (event, properties, when it fires, which flow) labelled "proposed — confirm with engineering", and the flow is written against those names.

  6. Hypothesis for this cycle. One line per flow: what it should do and against which number (e.g. "abandoned checkout: ≥ 4% of recipients order within 7 days; baseline unknown"), the goal metric and when it will be read. Saved into lifecycle/program.md for the next run's read-back.

  7. Art answers. On a re-run, read any Graphic ready: line under this flow's header-art Graphic needed: request and place the image.

Writes: lifecycle/flows/<flow-slug>.md (status line, hypothesis, header, then messages in order, then the open questions); what appears in chat follows SKILL step 8 — blockers in plain words, never the E/T/Q ids used in the files (../email-lifecycle/references/flow-library.md §4).

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 Lifecycle Flow Writer AI skill do?

Step of the email-lifecycle playbook: writes one lifecycle flow as a build sheet for the brand's email tool, every message finished in the brand voice. Run email-lifecycle instead; not for direct use.

Why use Email Lifecycle Flow Writer on TypingMind?

Because you install it once and use it with any model. Email Lifecycle Flow Writer 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 Lifecycle Flow Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/email-lifecycle-flow-writer. 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 Lifecycle Flow Writer?

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 Lifecycle Flow Writer?

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

Is the Email Lifecycle Flow Writer AI skill free?

Yes. It is published on GitHub by gooseworks-ai 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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