Agent skill · Content & Marketing

reactivation-specialist

Use when the user asks to "build a win-back campaign", "re-engage lapsed subscribers", "run a re-permission / re-consent sweep", or "sunset my dead list"; produces a closed-loop reactivation program — a lapsed-cohort definition, a staged offer ladder, a re-consent (re-permission) capture step, and a sunset-confirm / suppression rule. Owns none of the SEND-N sub-item notes: engagement-decay / sunset is email-sequence-designer''s and preference-center / frequency options is preference-frequency-manager''s — this skill references those notes, it does not re-emit them. Not for the general lifecycl

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill reactivation-specialist --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 16 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: email/nurture/reactivation-specialist/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Reactivation Specialist Designs a closed-loop reactivation program for lapsed email cohorts — the win-back offer ladder, the re-consent (re-permission) capture step, and the sunset-confirm / suppression rule. It defines the lapsed cohort by a no-engagement window, stages an offer ladder that escalates then stops, requires re-engaged subjects to re-affirm opt-in, and specifies the terminal rule that either re-permissions a subject or suppresses them. It does **not** author the SEND **N (Nurture / Lifecycle)** sub-item notes: engagement-decay / sunset is owned by [email-sequence-designer](../email-sequence-designer/SKILL.md) and preference-center / frequency options by [preference-frequency-manager](../preference-frequency-manager/SKILL.md) — this program feeds both owners its sunset-confirm and re-consent facts to fold in, and references their notes rather than re-emitting them. It does not design the everyday lifecycle flows, own the consent record, or compute the final EQS. ## Quick Start ``` Build a win-back campaign for subscribers who haven't opened in [N] days on [ESP]. Here is my engagement export: [paste/path]. I can offer [incentive]. ``` ``` My unengaged tail is [X]% of

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Decision Gates
  7. Save Results
  8. Reference Materials
  9. Next Best Skill
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About this skill
What does the reactivation-specialist skill do?

Use when the user asks to "build a win-back campaign", "re-engage lapsed subscribers", "run a re-permission / re-consent sweep", or "sunset my dead list"; produces a closed-loop reactivation program — a lapsed-cohort definition, a staged offer ladder, a re-consent (re-permission) capture step, and a sunset-confirm / suppression rule. Owns none of the SEND-N sub-item notes: engagement-decay / sunset is email-sequence-designer''s and preference-center / frequency options is preference-frequency-manager''s — this skill references those notes, it does not re-emit them. Not for the general lifecycl

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill reactivation-specialist --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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