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Rebuy Booster
by
LeroyCreates
· GitHub ↗
· v1.1.0
· MIT-0
165
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install rebuy-booster
Description
Design post-purchase sequences, loyalty incentives, and re-order triggers that turn one-time buyers into repeat customers for ecommerce brands.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rebuy-booster - After installation, invoke the skill by name or use
/rebuy-booster - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Rebuy Booster?
Design post-purchase sequences, loyalty incentives, and re-order triggers that turn one-time buyers into repeat customers for ecommerce brands. It is an AI Agent Skill for Claude Code / OpenClaw, with 165 downloads so far.
How do I install Rebuy Booster?
Run "/install rebuy-booster" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rebuy Booster free?
Yes, Rebuy Booster is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rebuy Booster support?
Rebuy Booster is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rebuy Booster?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.1.0.
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