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设计与多媒体
Skool Member Activation Concierge
试用Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and...
它能做什么
Use this skill when a Skool community needs early engagement, cleaner onboarding, or a repeatable path from new member to useful outcome.
技能文档
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
- Define the first member action in one sentence.
- Write a welcome comment template.
- Write a "where are you now" poll.
- Write a blocker poll.
- Write a first-win prompt.
- Create a 7-day concierge checklist for the operator.
- 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.
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