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Skool Member Activation Concierge

Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and...
设计公开安全的入职提示语和每周礼宾服务,帮助新Skool成员完成首条评论、首次分享证明、提出阻碍等。
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未分类 clawhub v0.1.0 1 版本 100000 Key: 无需
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#activation#community#latest#onboarding#public-safe#skool

概述

Skool Member Activation Concierge

Use this skill when a Skool community needs early engagement, cleaner onboarding,

or a repeatable path from new member to useful outcome.

Inputs

Collect or infer:

  • community promise,
  • new member types,
  • first useful action,
  • common blocker categories,
  • available templates or lessons,
  • founder/operator time available each week,
  • no-paid-implementation boundary.

Workflow

  1. Define the first member action in one sentence.
  2. Write a welcome comment template.
  3. Write a "where are you now" poll.
  4. Write a blocker poll.
  5. Write a first-win prompt.
  6. Create a 7-day concierge checklist for the operator.
  7. Define escalation rules for free proof reviews and future interest-list requests.

Output

Return:

  • first action,
  • welcome post or comment,
  • poll copy,
  • first-win prompt,
  • 7-day concierge checklist,
  • trust escalation rules,
  • activation metrics.

Do not automate private DMs or scrape member data. Keep outreach consent-first

and based on visible member posts or explicit replies.

Examples

Good public-safe inputs:

  • "Write a welcome comment for members who want to audit one repeated task."
  • "Create a blocker poll using only visible replies and aggregate counts."

Avoid inputs that require member lists, DMs, hidden posts, paid lessons,

credentials, private exports, or screenshots with personal/account details.

Use visible posts, explicit replies, synthetic samples, or aggregate counts.

Guardrails

  • Do not scrape private communities, member lists, DMs, paid lessons, or hidden

pages.

  • Do not request, store, transform, or paste credentials, API keys, session

cookies, payment data, private exports, or account recovery data.

  • Do not promise income, growth, conversion, rank, time saved, health,

financial, legal, or education outcomes.

  • Do not automate private DMs or off-platform outreach.
  • Keep proof reviews free, consent-first, and based on user-submitted or

operator-owned artifacts.

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-08 13:24 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
查看报告

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