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Skool Member Activation Concierge

作者 Zakhar Pashkin · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install skool-member-activation-concierge
功能描述
Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and...
使用说明 (SKILL.md)

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.
安全使用建议
This skill appears safe to use for drafting public onboarding content. Keep usage to visible posts, explicit replies, synthetic examples, or aggregate counts as the skill says. Do not provide credentials, payment data, private exports, screenshots with personal details, or access to purchasing/crypto capabilities.
功能分析
Type: OpenClaw Skill Name: skool-member-activation-concierge Version: 0.1.0 The skill bundle is a text-based template generator designed to help community managers create onboarding content and engagement polls for the Skool platform. The SKILL.md file contains explicit guardrails and prohibitions against scraping, credential theft, and automated private outreach, focusing entirely on consent-first, public-facing interactions. There are no executable scripts, network calls, or data exfiltration risks present in the files.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The stated purpose is coherent and narrowly focused on drafting onboarding prompts, polls, checklists, and metrics for Skool communities. However, the provided capability signals list crypto and can-make-purchases, which are not needed for this prompt-design purpose.
Instruction Scope
The instructions are scoped to visible posts, explicit replies, synthetic samples, or aggregate counts, and explicitly prohibit scraping, private DMs, hidden content, credentials, payment data, and private exports.
Install Mechanism
There is no install spec, no code, no required binaries, no required environment variables, and no credential contract.
Credentials
The skill itself does not need external authority, but the crypto and purchase capability signals should not be granted unless the publisher can explain why they are present.
Persistence & Privilege
No artifact shows persistence, background execution, credential use, account access, local storage, or ongoing autonomous behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install skool-member-activation-concierge
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /skool-member-activation-concierge 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial consent-first member activation concierge
元数据
Slug skool-member-activation-concierge
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Skool Member Activation Concierge 是什么?

Design public-safe onboarding prompts and weekly concierge actions that help new Skool members make first comments, share first proof, surface blockers, and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 32 次。

如何安装 Skool Member Activation Concierge?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install skool-member-activation-concierge」即可一键安装,无需额外配置。

Skool Member Activation Concierge 是免费的吗?

是的,Skool Member Activation Concierge 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Skool Member Activation Concierge 支持哪些平台?

Skool Member Activation Concierge 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Skool Member Activation Concierge?

由 Zakhar Pashkin(@zack-dev-cm)开发并维护,当前版本 v0.1.0。

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