Email Lifecycle Send Check

OrganizationPopular

gooseworks-ai

email-lifecycle-send-check

Checks a drafted email flow or broadcast before it is loaded: flow logic and exits, overlaps, offer depth and codes, stock, claims, consent and legal footer, SMS rules, rendering, voice and AI-copy tells, and the goal metric. Returns a pass / fixed / open-question table. Use alone when you already have the finished draft and the brand's product and policy facts; otherwise run email-lifecycle.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`email-lifecycle-send-check`
Stars	1.3K
Forks	219
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 Send Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/email-lifecycle-send-check
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/email-lifecycle-send-check

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-send-check .claude/skills/email-lifecycle-send-check

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email Lifecycle Send Check 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 Send Check 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 Send Check 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.

send-check

Reads: the drafted flows and broadcasts; ../email-lifecycle/references/copy-craft.md; ../email-lifecycle/references/deliverability.md; ../email-lifecycle/references/sms-push-whatsapp.md; the result of the claims-gate skill (../claims-gate/SKILL.md) for every message (run first, in SKILL step 7); ../ad-policy-check/disclosure.md (in the ad-policy-check skill) for email and SMS disclosure; product records; lifecycle/program.md.

Checks — each item pass / fixed / open question:

Flow logic: purchasers exit on every step ("placed order since starting"); checkout suppresses cart suppresses browse; a cross-flow cap and smart sending set; re-entry windows set; post-purchase keyed to delivery, not order date; replenishment uses the product's cycle and skips subscribers; every split has a default branch; a sequence built as broadcasts carries an active (dynamic) exclusion list on every send after the first, never a static one; the plan's monthly send limit is respected.
Offers: none deeper than allowed (offer-math ran); unique, single-use, non-stacking codes with expiry; recent purchasers excluded from promos; full-price returning customers never discounted in cart flows.
Stock and data: every featured product in stock; prices pulled live, not typed; every merge tag has a fallback; dynamic blocks hide out-of-stock lines.
Claims: the claims gate has run on every message and its cuts are applied (this atom does not judge claims itself). Shipping, returns and guarantee promises match the Policy: facts and the [lifecycle] policy rules, including ones confirmed in this run's message 2 and written at step 9. Drug-like wording and financial promises the gate kept are still flagged for a human read — the sentence, not the whole category.
Compliance: consent per market (no abandoned-checkout email to non-subscribed Canadian contacts; CASL implied-consent windows); footer with legal name and postal address via the tool's own tag, visible unsubscribe and preference link, one-click unsubscribe header noted for the tool; SMS: separate consent, brand name, STOP language, quiet hours, local rules for the markets; review requests go to all customers, not only happy ones; no marketing to marketplace-sourced buyers.
Rendering: single column, mobile first, live text, alt text on every image, full plain-text part, dark-mode-safe logo, HTML under 102 KB, seed tests listed for Gmail, Outlook, Apple Mail, Yahoo.
Voice and craft: brand banned words; the 14-item failure list in copy-craft.md; one job and one primary CTA per message; subject and preview not repeating.
Measurement: goal metric per flow (never opens); holdout only on always-on marketing flows with enough volume (never transactional, legally required, booking, dunning or one-time launch messages — "no holdout — "); the random-sample split sits after the message that delivers what the form or a transaction promised — a holdout placed before it fails; one test per flow or send; UTMs consistent.

Writes: a check table per flow and per send at the end of each file; open questions collected into the "awaiting your yes" list. A message with an unresolved claim or compliance failure is not staged as ready.

Bundled files

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

skill.meta.json1 KB

Frequently asked questions

What does the Email Lifecycle Send Check AI skill do?

Why use Email Lifecycle Send Check on TypingMind?

Because you install it once and use it with any model. Email Lifecycle Send Check 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 Send Check 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-send-check. 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 Send Check?

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 Send Check?

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

Is the Email Lifecycle Send Check 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

send-check

Bundled files

Frequently asked questions

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