← 返回 Skills 市场
leooooooow

Rebuy Booster

作者 LeroyCreates · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
165
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install rebuy-booster
功能描述
Design post-purchase sequences, loyalty incentives, and re-order triggers that turn one-time buyers into repeat customers for ecommerce brands.
安全使用建议
This skill is instruction-only and appears coherent for designing post-purchase and loyalty programs. Before using it: (1) do not hand over admin API keys or broad-scope credentials—provide least-privilege keys or an exported CSV of order history instead; (2) confirm what data the agent needs (order history, segment definitions, platform names) and supply only that data; (3) validate any segmentation, offer, or suppression logic in a staging environment and check GDPR/CAN-SPAM/CASL compliance before sending campaigns; (4) if the agent asks to connect to your ESP/loyalty platform, limit the connection scope and monitor activity; (5) treat the delivered templates as starting points — test A/B, suppression, and unsubscribe behavior before full deployment.
功能分析
Type: OpenClaw Skill Name: rebuy-booster Version: 1.1.0 The 'rebuy-booster' skill bundle is a collection of marketing strategy templates and instructions designed to help an AI agent create ecommerce retention campaigns. The files (SKILL.md, various reference guides, and a checklist) contain no executable code, network requests, or data exfiltration logic, and the instructions are strictly aligned with the stated purpose of optimizing post-purchase customer lifecycles.
能力评估
Purpose & Capability
The name, description, and all included reference documents focus on post-purchase sequences, loyalty programs, re-order triggers, and platform-specific setup (Klaviyo, LoyaltyLion, Yotpo, Smile.io). There are no unrelated dependencies, env vars, or binaries requested in the registry metadata — the requested resources match the skill's stated purpose.
Instruction Scope
SKILL.md repeatedly asks the agent to use order history, repurchase intervals, and platform properties (e.g., Klaviyo profile props) to calculate triggers and build flows. That is appropriate for the purpose, but the instructions assume access to store/order data and platform configuration. The skill is instruction-only and does not include code to fetch those things; at runtime the agent will need the user to provide order data or platform credentials to act on those instructions.
Install Mechanism
No install specification and no code files mean nothing will be written to disk or downloaded during install. This is the lowest-risk install profile and is appropriate for a content/instructions skill.
Credentials
The skill declares no required environment variables or credentials. The content does reference third-party platforms and implies needing access to order history and ESP/loyalty integrations; that is proportionate to the purpose but users should be aware the agent may request API keys, exported order data, or platform access during a consultation. No unexpected or unrelated credential requests are embedded in the skill files.
Persistence & Privilege
Flags show the skill is not always-on and uses default autonomous invocation behavior. There is no persistent install behavior, no modification of other skills, and no requests to change agent/system-level settings.
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 rebuy-booster
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /rebuy-booster 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
v1.1.0
Version 1.0.1 of rebuy-booster introduces reference and checklist resources to support effective post-purchase and retention workflows. - Added quality checklist and strategy/reference guides for post-purchase, loyalty, and retention (4 new files). - Expanded supporting materials for implementing best practices and standardizing output.
v1.0.0
Initial release.
元数据
Slug rebuy-booster
版本 1.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Rebuy Booster 是什么?

Design post-purchase sequences, loyalty incentives, and re-order triggers that turn one-time buyers into repeat customers for ecommerce brands. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 165 次。

如何安装 Rebuy Booster?

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

Rebuy Booster 是免费的吗?

是的,Rebuy Booster 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Rebuy Booster 支持哪些平台?

Rebuy Booster 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 Rebuy Booster?

由 LeroyCreates(@leooooooow)开发并维护,当前版本 v1.1.0。

💬 留言讨论