Token导航 LogoToken导航

Agent Skill · 研究检索

loyalty-program-optimization(忠诚度计划优化)

loyalty-program-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

loyalty-program-optimization 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 56,324。

总安装 456周安装 19GitHub Stars 19下载 152核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:loyalty-program-optimization(忠诚度计划优化)
来源仓库:https://github.com/finsilabs/awesome-ecommerce-skills
仓库路径:skills/loyalty-program-optimization
安装命令:
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill loyalty-program-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill loyalty-program-optimization

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

loyalty-program-optimization 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于忠诚度计划改进、客户留存策略和市场活动效果评估等研究场景。

通过关键词、任务或来源仓库进行信息筛选,需结合原始 README 确认具体用法。安装命令为 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill loyalty-program-optimization。

使用前建议确认权限范围、维护状态及是否触发联网或文件读写操作。

来源仓库内路径:skills/loyalty-program-optimization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill loy…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

loyalty-program-optimization 怎么安装?

在终端执行 npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill loyalty-progr…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

loyalty-program-optimization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

loyalty-program-optimization 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

loyalty-program-optimization 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

loyalty-program-optimization 用的人多吗?

公开数据是累计安装 456 次,近一周安装 19 次,下载 152 次,GitHub 19 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

loyalty-program-optimization 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
loyalty-program-optimization

忠诚度计划优化 · 本页

45619需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Loyalty Program Optimization

Overview

A well-designed loyalty program increases repeat purchase rate by 20–40% and CLV by giving customers a compelling reason to consolidate their spending with your brand. Dedicated loyalty apps handle the entire points engine, tier management, redemption mechanics, and customer-facing portal without custom code. The strategic decisions — which tiers to create, what benefits to offer, and how to avoid training customers to wait for redemptions — are where the real work is.

When to Use This Skill

  • When launching a new loyalty program from scratch
  • When an existing points program has low redemption rates or member engagement
  • When wanting to add tiered VIP benefits to an existing points program
  • When diagnosing whether your loyalty program is driving incremental revenue or just rewarding purchases that would have happened anyway

Core Instructions

Step 1: Choose the right loyalty platform

PlatformBest ForShopifyWooCommerceBigCommercePrice
Smile.ioSimplicity, quick setupApp StorePluginApp MarketplaceFree tier; $49/mo for tiers
Yotpo LoyaltyBrands already using Yotpo Reviews/SMSApp StoreLimitedApp Marketplace$199+/mo
LoyaltyLionAdvanced program design, custom rulesApp StorePluginApp Marketplace$399+/mo
Stamped LoyaltyBrands using Stamped ReviewsApp Store——$119+/mo
YITH WooCommerce Points and RewardsWooCommerce only—Plugin—$149/yr

Recommend Smile.io for most stores — it has the best balance of features and simplicity, works on all major platforms, and has a free tier to start.

Step 2: Design your program structure

Before installing anything, define:

Points earn rate:

  • 1 point per $1 spent (= 1% cashback equivalent at 100 points = $1)
  • Adjust based on your margins — consumer goods (30%+ margin): 1 point per $1 is fine; lower margin products: 0.5 points per $1

Tier thresholds (use annual spend):

TierAnnual SpendBenefits
Member$0+1x points earn
Silver$500+1.5x points, free standard shipping
Gold$1,500+2x points, free expedited shipping, early access to sales
Platinum$5,000+3x points, members-only products, priority support

Redemption rate: 100 points = $1 discount (set a minimum of 500 points to redeem)

Non-purchase earn actions (makes program stickier at no revenue cost):

  • Account sign-up: 100 points
  • Leave a review: 50 points
  • Refer a friend: 200 points (if they purchase)
  • Birthday month bonus: 2x points on all purchases

Step 3: Set up your loyalty program


Shopify with Smile.io
  1. Install Smile.io from the Shopify App Store
  2. Go to Smile.io → Points → Ways to Earn and configure:

- "Place an order": points per dollar (set your earn rate) - "Create an account": 100 points - "Happy birthday": 2x points in birthday month - "Write a review": 50 points (connects to Judge.me or Stamped Reviews) - "Refer a friend": 200 points per successful referral

  1. Go to Smile.io → Points → Ways to Redeem and configure:

- "Discount on order": 100 points = $1 off - Set minimum order value for redemption ($30 recommended)

  1. Go to Smile.io → VIP → Create Program and set up your tiers:

- Enter the tier names, point thresholds, and benefits (free shipping, multipliers, etc.)

  1. Go to Smile.io → Rewards Panel to customize the widget that appears on your storefront
  2. Connect Smile.io to Klaviyo under Smile.io → Integrations — this enables sending points balance in Klaviyo emails

WooCommerce with YITH WooCommerce Points and Rewards
  1. Install YITH WooCommerce Points and Rewards from the WordPress plugin directory ($149/yr)
  2. Go to YITH → Points and Rewards → Points → Earn Points and configure:

- Points per currency unit: 1 point per $1 - Registration bonus: 100 points - Review bonus: 50 points

  1. Go to YITH → Points and Rewards → Redemption and set:

- Points per currency: 100 points = $1 off - Maximum discount allowed: 20% of cart value (prevents 100% discount gaming)

  1. For tiers: install YITH WooCommerce Membership to create VIP tiers based on spend level

Alternative: Use Gratisfaction plugin (more feature-rich, $99/yr) which includes gamification, social sharing rewards, and birthday bonuses.


BigCommerce with Smile.io
  1. Install Smile.io from the BigCommerce App Marketplace
  2. Configuration is identical to the Shopify setup described above
  3. Smile.io integrates with BigCommerce's native coupon system for redemption

Custom / Headless

Use a loyalty API platform like Voucherify or Loyaltycrm.com rather than building from scratch. These provide:

  • Points ledger and transaction API
  • Tier management
  • Redemption code generation
  • Webhooks for earn/redeem events

If you must build custom:

// Core points earn function — call this from your order webhook
async function earnPoints(params: {
  customerId: string;
  orderId: string;
  orderValue: number; // subtotal, not including tax/shipping
  reason: 'purchase' | 'review' | 'referral' | 'signup';
}) {
  const customer = await db.customers.findById(params.customerId);
  const tier = customer.loyaltyTier; // 'member', 'silver', 'gold', 'platinum'
  const multiplier = { member: 1.0, silver: 1.5, gold: 2.0, platinum: 3.0 }[tier];

  const basePoints = Math.floor(params.orderValue * 1); // 1 point per $1
  const pointsToAward = Math.floor(basePoints * multiplier);

  await db.loyaltyTransactions.create({
    customerId: params.customerId,
    orderId: params.orderId,
    type: 'earn',
    points: pointsToAward,
    reason: params.reason,
  });

  await db.customers.increment(params.customerId, { loyaltyPoints: pointsToAward });
}

Step 4: Connect loyalty to email marketing

The highest-ROI loyalty email is the points balance email — it drives repurchases by reminding customers they have value waiting.

In Klaviyo (connected to Smile.io):

  1. Add points balance to every post-purchase email: You earned {{event.SmilePointsEarned}} points. Balance: {{profile.SmilePointsBalance}} points
  2. Create a flow triggered by: Smile.io Points Balance Threshold → Balance reaches 500 points
  3. Email: "You have enough points to redeem for $5 off your next order"
  4. Create a flow triggered by: Approaching Tier Upgrade → 100 points away from Silver
  5. Email: "You're almost Silver! Spend $X more to unlock free shipping"

Points expiry email:

  1. Create a flow triggered by 30 days before point expiry
  2. Email: "Your 320 points ($3.20) expire in 30 days — use them before they're gone"
  3. This is one of the highest-converting loyalty emails

Step 5: Measure program performance

MetricHealthy TargetWhere to Find
Member enrollment rate> 30% of customers enrolledSmile.io → Dashboard
Points redemption rate> 20% of earned points redeemedSmile.io → Analytics
Revenue from loyalty members vs. non-membersMembers should be 2-3x higherCompare order value in Shopify/Analytics
Repeat purchase rate for enrolled vs. non-enrolledMembers should be 20%+ higherShopify Customer Cohorts or Smile.io analytics

If redemption rate is below 15%, the redemption threshold is too high or customers are unaware of their balance. Lower the minimum redemption threshold or add a points balance widget to the account page.

Best Practices

  • Announce points balance in every post-purchase email — "You earned 45 points — you now have 320 points ($3.20 to redeem)" drives engagement; most loyalty apps include this via email integration
  • Use annual spend for tier qualification, not current balance — rewards consistent spend, not balance gaming
  • Add non-purchase earning actions — reviews, referrals, and social shares make the program stickier without pure revenue cost
  • Create "double points" events — point multiplier promotions drive purchase without the perceived cheapness of a discount code
  • Set a minimum redemption threshold ($5 minimum / 500 points) — prevents micro-redemptions that create operational overhead
  • Email members 30 days before points expire — expiry warning emails are among the highest-converting loyalty emails

Common Pitfalls

ProblemSolution
Low redemption rate (< 20%)Lower the minimum redemption threshold; add a points balance widget to the account page; include balance in order confirmation emails
Tier status not downgradingConfigure annual re-qualification in your loyalty app settings; communicate downgrade 30 days in advance
Members gaming the system with micro-purchasesSet minimum order value for earning points ($15+) in app settings
Points not reversing on refundsConfigure refund rules in your loyalty app — Smile.io has this under Settings → Points → Refund Policy
Loyalty program costs more than it generatesTrack incremental revenue: compare AOV and purchase frequency of loyalty members vs. non-members using a matched control group

Related Skills

  • @customer-retention-engine
  • @lifecycle-marketing-automation
  • @referral-viral-loops
  • @email-marketing-automation
  • @review-generation-engine

平台分布

Codex

35.03%
按下载量换算53

Claude

33.34%
按下载量换算51

Cursor

17.8%
按下载量换算27

Gemini CLI

10.29%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills