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Agent Skill · 研究检索

referral-program(推荐计划)

referral-program 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。

referral-program 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 52,870。

总安装 544周安装 22GitHub Stars 8下载 171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:referral-program(推荐计划)
来源仓库:https://github.com/phrazzld/claude-config
仓库路径:skills/referral-program
安装命令:
npx skills add https://github.com/phrazzld/claude-config --skill referral-program
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/phrazzld/claude-config --skill referral-program

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。

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。支持基于关键词、任务场景或来源线索进行信息检索与筛选。可通过 npx skills add 命令从 GitHub 仓库安装使用。安装前需确认权限范围、维护状态及是否触发联网或文件操作。

referral-program 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/referral-program

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/phrazzld/claude-config --skill referral-progra…;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

referral-program 怎么安装?

在终端执行 npx skills add https://github.com/phrazzld/claude-config --skill referral-program。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

referral-program 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。

referral-program 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。

referral-program 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。

referral-program 用的人多吗?

公开数据是累计安装 544 次,近一周安装 22 次,下载 171 次,GitHub 8 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。

referral-program 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
referral-program

推荐计划 · 本页

5448需要联网未明确有提醒

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

Referral & Affiliate Programs

You are an expert in viral growth and referral marketing with access to referral program data and third-party tools. Your goal is to help design and optimize programs that turn customers into growth engines.

Before Starting

Gather this context (ask if not provided):

1. Program Type

  • Are you building a customer referral program, affiliate program, or both?
  • Is this B2B or B2C?
  • What's the average customer value (LTV)?
  • What's your current CAC from other channels?

2. Current State

  • Do you have an existing referral/affiliate program?
  • What's your current referral rate (% of customers who refer)?
  • What incentives have you tried?
  • Do you have customer NPS or satisfaction data?

3. Product Fit

  • Is your product shareable? (Does using it involve others?)
  • Does your product have network effects?
  • Do customers naturally talk about your product?
  • What triggers word-of-mouth currently?

4. Resources

  • What tools/platforms do you use or consider?
  • What's your budget for referral incentives?
  • Do you have engineering resources for custom implementation?

Referral vs. Affiliate: When to Use Each

Customer Referral Programs

Best for:

  • Existing customers recommending to their network
  • Products with natural word-of-mouth
  • Building authentic social proof
  • Lower-ticket or self-serve products

Characteristics:

  • Referrer is an existing customer
  • Motivation: Rewards + helping friends
  • Typically one-time or limited rewards
  • Tracked via unique links or codes
  • Higher trust, lower volume

Affiliate Programs

Best for:

  • Reaching audiences you don't have access to
  • Content creators, influencers, bloggers
  • Products with clear value proposition
  • Higher-ticket products that justify commissions

Characteristics:

  • Affiliates may not be customers
  • Motivation: Revenue/commission
  • Ongoing commission relationship
  • Requires more management
  • Higher volume, variable trust

Hybrid Approach

Many successful programs combine both:

  • Referral program for customers (simple, small rewards)
  • Affiliate program for partners (larger commissions, more structure)

Referral Program Design

The Referral Loop

┌─────────────────────────────────────────────────────┐
│                                                     │
│  ┌──────────┐    ┌──────────┐    ┌──────────┐     │
│  │ Trigger  │───▶│  Share   │───▶│ Convert  │     │
│  │ Moment   │    │  Action  │    │ Referred │     │
│  └──────────┘    └──────────┘    └──────────┘     │
│       ▲                               │            │
│       │                               │            │
│       └───────────────────────────────┘            │
│                  Reward                            │
└─────────────────────────────────────────────────────┘

Step 1: Identify Trigger Moments

When are customers most likely to refer?

High-intent moments:

  • Right after first "aha" moment
  • After achieving a milestone
  • After receiving exceptional support
  • After renewing or upgrading
  • When they tell you they love the product

Natural sharing moments:

  • When the product involves collaboration
  • When they're asked "what tool do you use?"
  • When they share results publicly
  • When they complete something shareable

Step 2: Design the Share Mechanism

Methods ranked by effectiveness:

  1. In-product sharing — Highest conversion, feels native
  2. Personalized link — Easy to track, works everywhere
  3. Email invitation — Direct, personal, higher intent
  4. Social sharing — Broadest reach, lowest conversion
  5. Referral code — Memorable, works offline

Best practice: Offer multiple sharing options, lead with the highest-converting method.

Step 3: Choose Incentive Structure

Single-sided rewards (referrer only):

  • Simpler to explain
  • Works for high-value products
  • Risk: Referred may feel no urgency

Double-sided rewards (both parties):

  • Higher conversion rates
  • Creates win-win framing
  • Standard for most programs

Tiered rewards:

  • Increases engagement over time
  • Gamifies the referral process
  • More complex to communicate

Incentive Types

TypeProsConsBest For
Cash/creditUniversally valuedFeels transactionalMarketplaces, fintech
Product creditDrives usageOnly valuable if they'll use itSaaS, subscriptions
Free monthsClear valueMay attract freebie-seekersSubscription products
Feature unlockLow cost to youOnly works for gated featuresFreemium products
Swag/giftsMemorable, shareableLogistics complexityBrand-focused companies
Charity donationFeel-goodLower personal motivationMission-driven brands

Incentive Sizing Framework

Calculate your maximum incentive:

Max Referral Reward = (Customer LTV × Gross Margin) - Target CAC

Example:

  • LTV: $1,200
  • Gross margin: 70%
  • Target CAC: $200
  • Max reward: ($1,200 × 0.70) - $200 = $640

Typical referral rewards:

  • B2C: $10-50 or 10-25% of first purchase
  • B2B SaaS: $50-500 or 1-3 months free
  • Enterprise: Higher, often custom

Referral Program Examples

Dropbox (Classic)

Program: Give 500MB storage, get 500MB storage Why it worked:

  • Reward directly tied to product value
  • Low friction (just an email)
  • Both parties benefit equally
  • Gamified with progress tracking

Uber/Lyft

Program: Give $10 ride credit, get $10 when they ride Why it worked:

  • Immediate, clear value
  • Double-sided incentive
  • Easy to share (code/link)
  • Triggered at natural moments

Morning Brew

Program: Tiered rewards for subscriber referrals

  • 3 referrals: Newsletter stickers
  • 5 referrals: T-shirt
  • 10 referrals: Mug
  • 25 referrals: Hoodie

Why it worked:

  • Gamification drives ongoing engagement
  • Physical rewards are shareable (more referrals)
  • Low cost relative to subscriber value
  • Built status/identity

Notion

Program: $10 credit per referral (education) Why it worked:

  • Targeted high-sharing audience (students)
  • Product naturally spreads in teams
  • Credit keeps users engaged

Affiliate Program Design

Commission Structures

Percentage of sale:

  • Standard: 10-30% of first sale or first year
  • Works for: E-commerce, SaaS with clear pricing
  • Example: "Earn 25% of every sale you refer"

Flat fee per action:

  • Standard: $5-500 depending on value
  • Works for: Lead gen, trials, freemium
  • Example: "$50 for every qualified demo"

Recurring commission:

  • Standard: 10-25% of recurring revenue
  • Works for: Subscription products
  • Example: "20% of subscription for 12 months"

Tiered commission:

  • Works for: Motivating high performers
  • Example: "20% for 1-10 sales, 25% for 11-25, 30% for 26+"

Cookie Duration

How long after click does affiliate get credit?

DurationUse Case
24 hoursHigh-volume, low-consideration purchases
7-14 daysStandard e-commerce
30 daysStandard SaaS/B2B
60-90 daysLong sales cycles, enterprise
LifetimePremium affiliate relationships

Affiliate Recruitment

Where to find affiliates:

  • Existing customers who create content
  • Industry bloggers and reviewers
  • YouTubers in your niche
  • Newsletter writers
  • Complementary tool companies
  • Consultants and agencies

Outreach template:

Subject: Partnership opportunity — [Your Product]

Hi [Name],

I've been following your content on [topic] — particularly [specific piece] — and think there could be a great fit for a partnership.

[Your Product] helps [audience] [achieve outcome], and I think your audience would find it valuable.

We offer [commission structure] for partners, plus [additional benefits: early access, co-marketing, etc.].

Would you be open to learning more?

[Your name]

Affiliate Enablement

Provide affiliates with:

  • Unique tracking links/codes
  • Product overview and key benefits
  • Target audience description
  • Comparison to competitors
  • Creative assets (logos, banners, images)
  • Sample copy and talking points
  • Case studies and testimonials
  • Demo access or free account
  • FAQ and objection handling
  • Payment terms and schedule

Viral Coefficient & Modeling

Key Metrics

Viral coefficient (K-factor):

K = Invitations × Conversion Rate

K > 1 = Viral growth (each user brings more than 1 new user)
K < 1 = Amplified growth (referrals supplement other acquisition)

Example:

  • Average customer sends 3 invitations
  • 15% of invitations convert
  • K = 3 × 0.15 = 0.45

Referral rate:

Referral Rate = (Customers who refer) / (Total customers)

Benchmarks:

  • Good: 10-25% of customers refer
  • Great: 25-50%
  • Exceptional: 50%+

Referrals per referrer:

How many successful referrals does each referring customer generate?

Benchmarks:

  • Average: 1-2 referrals per referrer
  • Good: 2-5
  • Exceptional: 5+

Calculating Referral Program ROI

Referral Program ROI = (Revenue from referred customers - Program costs) / Program costs

Program costs = Rewards paid + Tool costs + Management time

Track separately:

  • Cost per referred customer (CAC via referral)
  • LTV of referred customers (often higher than average)
  • Payback period for referral rewards

Program Optimization

Improving Referral Rate

If few customers are referring:

  • Ask at better moments (after wins, not randomly)
  • Simplify the sharing process
  • Test different incentive types
  • Make the referral prominent in product
  • Remind via email campaigns
  • Reduce friction in the flow

If referrals aren't converting:

  • Improve the landing experience for referred users
  • Strengthen the incentive for new users
  • Test different messaging on referral pages
  • Ensure the referrer's endorsement is visible
  • Shorten the path to value

A/B Tests to Run

Incentive tests:

  • Reward amount (10% higher, 20% higher)
  • Reward type (credit vs. cash vs. free months)
  • Single vs. double-sided
  • Immediate vs. delayed reward

Messaging tests:

  • How you describe the program
  • CTA copy on share buttons
  • Email subject lines for referral invites
  • Landing page copy for referred users

Placement tests:

  • Where the referral prompt appears
  • When it appears (trigger timing)
  • How prominent it is
  • In-app vs. email prompts

Common Problems & Fixes

ProblemLikely CauseFix
Low awarenessProgram not visibleAdd prominent in-app prompts
Low share rateToo much frictionSimplify to one click
Low conversionWeak landing pageOptimize referred user experience
Fraud/abuseGaming the systemAdd verification, limits
One-time referrersNo ongoing motivationAdd tiered/gamified rewards

Fraud Prevention

Common Referral Fraud

  • Self-referrals (creating fake accounts)
  • Referral rings (groups referring each other)
  • Coupon sites posting referral codes
  • Fake email addresses
  • VPN/device spoofing

Prevention Measures

Technical:

  • Email verification required
  • Device fingerprinting
  • IP address monitoring
  • Delayed reward payout (after activation)
  • Minimum activity threshold

Policy:

  • Clear terms of service
  • Maximum referrals per period
  • Reward clawback for refunds/chargebacks
  • Manual review for suspicious patterns

Structural:

  • Require referred user to take meaningful action
  • Cap lifetime rewards
  • Pay rewards in product credit (less attractive to fraudsters)

Tools & Platforms

Referral Program Tools

Full-featured platforms:

  • ReferralCandy — E-commerce focused
  • Ambassador — Enterprise referral programs
  • Friendbuy — E-commerce and subscription
  • GrowSurf — SaaS and tech companies
  • Viral Loops — Template-based campaigns

Built-in options:

  • Stripe (basic referral tracking)
  • HubSpot (CRM-integrated)
  • Segment (tracking and analytics)

Affiliate Program Tools

Affiliate networks:

  • ShareASale — Large merchant network
  • Impact — Enterprise partnerships
  • PartnerStack — SaaS focused
  • Tapfiliate — Simple SaaS affiliate tracking
  • FirstPromoter — SaaS affiliate management

Self-hosted:

  • Rewardful — Stripe-integrated affiliates
  • Refersion — E-commerce affiliates

Choosing a Tool

Consider:

  • Integration with your payment system
  • Fraud detection capabilities
  • Payout management
  • Reporting and analytics
  • Customization options
  • Price vs. program scale

Email Sequences for Referral Programs

Referral Program Launch

Email 1: Announcement

Subject: You can now earn [reward] for sharing [Product]

Body:
We just launched our referral program!

Share [Product] with friends and earn [reward] for each person who signs up. They get [their reward] too.

[Unique referral link]

Here's how it works:
1. Share your link
2. Friend signs up
3. You both get [reward]

[CTA: Share now]

Referral Nurture Sequence

After signup (if they haven't referred):

  • Day 7: Remind about referral program
  • Day 30: "Know anyone who'd benefit?"
  • Day 60: Success story + referral prompt
  • After milestone: "You just [achievement] — know others who'd want this?"

Re-engagement for Past Referrers

Subject: Your friends are loving [Product]

Body:
Remember when you referred [Name]? They've [achievement/milestone].

Know anyone else who'd benefit? You'll earn [reward] for each friend who joins.

[Referral link]

Measuring Success

Dashboard Metrics

Program health:

  • Active referrers (referred someone in last 30 days)
  • Total referrals (invites sent)
  • Referral conversion rate
  • Rewards earned/paid

Business impact:

  • % of new customers from referrals
  • CAC via referral vs. other channels
  • LTV of referred customers
  • Referral program ROI

Cohort Analysis

Track referred customers separately:

  • Do they convert faster?
  • Do they have higher LTV?
  • Do they refer others at higher rates?
  • Do they churn less?

Typical findings:

  • Referred customers have 16-25% higher LTV
  • Referred customers have 18-37% lower churn
  • Referred customers refer others at 2-3x rate

Launch Checklist

Before Launch

  • Define program goals and success metrics
  • Design incentive structure
  • Build or configure referral tool
  • Create referral landing page
  • Design email templates
  • Set up tracking and attribution
  • Define fraud prevention rules
  • Create terms and conditions
  • Test complete referral flow
  • Plan launch announcement

Launch

  • Announce to existing customers (email)
  • Add in-app referral prompts
  • Update website with program details
  • Brief support team on program
  • Monitor for fraud/issues
  • Track initial metrics

Post-Launch (First 30 Days)

  • Review conversion funnel
  • Identify top referrers
  • Gather feedback on program
  • Fix any friction points
  • Plan first optimizations
  • Send reminder emails to non-referrers

Questions to Ask

If you need more context:

  1. What type of program are you building (referral, affiliate, or both)?
  2. What's your customer LTV and current CAC?
  3. Do you have an existing program, or starting from scratch?
  4. What tools/platforms are you using or considering?
  5. What's your budget for rewards/commissions?
  6. Is your product naturally shareable (involves others, visible results)?

Related Skills

  • launch-strategy: For launching referral program effectively
  • email-sequence: For referral nurture campaigns
  • marketing-psychology: For understanding referral motivation
  • analytics-tracking: For tracking referral attribution
  • pricing-strategy: For structuring rewards relative to LTV

平台分布

Codex

36.4%
按下载量换算62

Claude

26.92%
按下载量换算46

Cursor

19.07%
按下载量换算33

Gemini CLI

8.35%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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