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harrylabsj

Cb Referral Loyalty Program Designer

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install cb-referral-loyalty-program-designer
Description
A design framework for overseas referral, loyalty, membership, and ambassador programs that fit local motivation, trust, and incentive norms.
README (SKILL.md)

International Referral and Loyalty Program Designer

Overview

A design framework for overseas referral, loyalty, membership, and ambassador programs that fit local motivation, trust, and incentive norms.

This is a pure descriptive OpenClaw skill for overseas expansion planning. It provides frameworks, templates, checklists, decision criteria, and risk reminders. It does not execute code, call APIs, access the network, scrape websites, submit forms, make purchases, send messages, or perform any external action.

When to Use

Use this skill when the user needs structured help with international referral and loyalty program designer in a cross-border or international expansion context.

Typical trigger phrases include:

  • overseas referral program
  • international loyalty program
  • global membership strategy
  • ambassador program abroad
  • foreign market retention

Target Users

Growth marketers, ecommerce teams, subscription businesses, app operators, and lifecycle marketers.

Inputs to Collect

Ask for or infer the following context before producing the final framework:

  • Target market or list of candidate markets
  • Product, service, category, or business model
  • Current business stage and domestic traction, if any
  • Target customer segment and purchase context
  • Expansion goal, timeline, budget range, and constraints
  • Existing assets such as brand story, content, team, channels, customer data, or partners
  • Known risks, assumptions, compliance concerns, and decision deadlines

If important inputs are missing, state the assumptions clearly and provide a version that can be refined later.

Workflow

  1. Diagnose customer motivation, purchase frequency, margin, trust level, social sharing behavior, and market norms around incentives.
  2. Choose the program model: referral, points, tiered membership, ambassador, subscription perk, community reward, or partner benefit.
  3. Design reward mechanics that are understandable, economically sustainable, culturally appropriate, and resistant to abuse.
  4. Plan launch communication, eligibility rules, tracking logic, customer support scripts, and fraud monitoring checkpoints.
  5. Define success metrics across acquisition quality, repeat purchase, margin impact, abuse rate, customer satisfaction, and long-term retention.

Output Modules

Customer motivation diagnosis

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Program model selection

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Reward and incentive design

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Fraud and abuse guardrails

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Launch communication plan

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Lifecycle measurement framework

  • Purpose: turn the user's market context into a structured planning component.
  • Include: assumptions, recommended actions, decision criteria, and questions that require local validation.
  • Output style: concise tables, checklists, and bullet-point rationale rather than generic advice.

Output Format

Return a structured response with these sections:

  1. Input Summary — what the user provided and what assumptions are being made.
  2. Strategic Diagnosis — key opportunity, constraint, and uncertainty analysis for the overseas context.
  3. Framework Output — the main tables, matrices, checklists, templates, or playbooks generated by this skill.
  4. Market Adaptation Notes — what should change by region, language, channel, customer expectation, or operating model.
  5. Risks and Validation Tasks — assumptions to test, professional review needs, and red flags.
  6. Next Actions — 5–10 practical steps the user can take manually.

Example Prompts

  • Use International Referral and Loyalty Program Designer for a consumer brand entering Germany and Japan with a limited launch budget.
  • Build a practical overseas expansion framework for our SaaS product using this context: target market, audience, product category, budget, and timeline.
  • Create a international referral and loyalty program designer for a team that has domestic traction but no local overseas team yet.
  • Help me compare two markets and produce a checklist, decision matrix, and risk notes for overseas referral program.

Safety and Limitations

Incentives, sweepstakes, referral rewards, and privacy practices may be regulated and require local legal review.

Additional limitations:

  • No professional legal, tax, financial, medical, employment, investment, or compliance advice.
  • No guarantee of market success, conversion improvement, legal compliance, or platform acceptance.
  • Verify local laws, platform policies, consumer expectations, and current market facts with qualified professionals and reliable sources.
  • Avoid stereotyping cultures or users; treat all cultural observations as hypotheses requiring local validation.

Acceptance Criteria

  • Matches program mechanics to user motivation and market context
  • Provides reward structure options
  • Includes fraud and abuse prevention ideas
  • Defines launch and communication steps
  • Includes retention and profitability metrics
  • Provides structured, market-aware outputs rather than generic overseas expansion advice.
  • Includes explicit assumptions, evidence gaps, and validation steps.
  • Stays pure descriptive with no code execution, API calls, browsing, network access, or external side effects.

Publishing Notes

  • Version: 1.0.0
  • Language: English
  • Type: descriptive
  • Runtime requirements: none
  • External permissions: none
Usage Guidance
This skill appears to be a safe, descriptive planning tool. Before use: avoid pasting sensitive customer data or credentials into prompts; treat its legal/compliance suggestions as non-binding and get local legal counsel for sweepstakes, privacy, or payment rules; validate fraud and operational recommendations with engineers before implementing; and remember the skill does not itself take any external actions — any rollout must be executed by your team or systems.
Capability Analysis
Type: OpenClaw Skill Name: cb-referral-loyalty-program-designer Version: 1.0.0 The skill bundle is purely descriptive and contains no executable code, API calls, or network requests. It functions as a structured prompt framework for designing international loyalty programs and includes appropriate safety disclaimers regarding legal and compliance advice (SKILL.md, skill.json).
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name, description, and metadata describe a design framework and the skill's declared inputs and outputs match that purpose. There are no unrelated env vars, binaries, or platform integrations requested.
Instruction Scope
SKILL.md contains purely descriptive instructions (questions to ask, frameworks to produce) and explicitly states it does not execute code, call APIs, access the network, or perform external actions. It asks the agent to collect market and business context from the user but does not instruct reading system files or other sensitive sources.
Install Mechanism
No install spec or code files are present (instruction-only). Nothing will be downloaded or written to disk as part of installation.
Credentials
No environment variables, credentials, or config paths are requested. The inputs to collect are user-provided market/business context (appropriate for the skill).
Persistence & Privilege
The skill is not marked always:true and requests no persistent system presence or modification of other skills. Autonomous invocation is allowed (platform default) but not unusual or excessive here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cb-referral-loyalty-program-designer
  3. After installation, invoke the skill by name or use /cb-referral-loyalty-program-designer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
International Referral and Loyalty Program Designer initial release: - Provides a structured, descriptive framework for designing referral, loyalty, membership, and ambassador programs in overseas markets. - Includes templates, checklists, decision criteria, risk reminders, and region-specific adaptation notes. - Guides users through motivation diagnosis, program selection, reward design, fraud guardrails, communication planning, and measurement framework. - Explains required inputs, assumptions, and clear steps for adapting and validating programs in new markets. - For use by growth marketers, ecommerce, and product teams planning international expansion.
Metadata
Slug cb-referral-loyalty-program-designer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Cb Referral Loyalty Program Designer?

A design framework for overseas referral, loyalty, membership, and ambassador programs that fit local motivation, trust, and incentive norms. It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.

How do I install Cb Referral Loyalty Program Designer?

Run "/install cb-referral-loyalty-program-designer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Cb Referral Loyalty Program Designer free?

Yes, Cb Referral Loyalty Program Designer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Cb Referral Loyalty Program Designer support?

Cb Referral Loyalty Program Designer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Cb Referral Loyalty Program Designer?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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