ZBS Index What actually exists in applied AI, with the source next to it

skill

email-sequence-designer

Use when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound sequence"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound) with trigger, step timing, branch/exit conditions, goal, frequency governance (send caps, quiet hours, fatigue guardrail), a sunset path, and a SEND N-dimension score. Not for the closed-loop win-back / re-consent (re-permission) program on a lapsed cohort — use reactivation-specialist; not for writing each email''s copy — use email-creative-builder; not for computing EQS or the N1 unsubscribe veto — use email-quality-auditor. 邮件自动化流程设计/购物车挽回/流失召回序列

Description as published by the maintainer. Source

  • active

active — Most recent push to the repository was 2026-08-06.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 2,518 Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. cumulative, all time GitHub
Last commit 2026-08-06 Most recent push to the containing repository. It may reflect work on a different skill in the same collection. point in time GitHub
repository status active The repository holding this skill exists and is not archived. as of fetch GitHub

Will this work with your setup?

Install location suggests this is meant for claude-code. The author tagged this repository "claude-skills" on GitHub. That is their statement of intent, not a test result.

We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.

The skill definition lives at email/nurture/email-sequence-designer/SKILL.md in https://github.com/aaron-he-zhu/aaron-marketing-skills.

Where to get it

Related, by what their authors tagged them

These share tags the maintainers applied themselves, such as brand-messaging, brand-narrative, content-optimization, creator-marketing. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

Also from aaron-he-zhu

How the author describes it

Topics the maintainer set on GitHub: agent-skills, brand-messaging, brand-narrative, claude-code, claude-skills, content-optimization, creator-marketing, email-marketing, generative-engine-optimization, geo, influencer-marketing, marketing, marketing-automation, organic-social, paid-advertising, product-hunt, product-launch, roas, seo, social-media-marketing.

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Sources

  1. aaron-he-zhu/aaron-marketing-skills on GitHub — GitHub, observed , trust tier 3.