Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and...
--- name: skool-member-activation-concierge description: Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and create free-course trust signals without scraping or automating private outreach. --- # 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.
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