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referral-program推荐计划

Agent Skill

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。

总安装

306

周安装

13

GitHub Stars

公开资料未说明

下载量

107
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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/alexwelcing/copy
仓库路径:skills/referral-program
安装命令:
npx skills add https://github.com/alexwelcing/copy --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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/alexwelcing/copy --skill referral-program

简介

设计病毒式传播机制促进用户自发推荐与口碑扩散。

  • 包含奖励规则、邀请链路、追踪系统等核心要素规划。
  • 可测算病毒系数 K 值评估增长可持续性。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 需注意防作弊机制与合规风险,避免诱导性条款引发争议。
  • referral-program 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Referral Program Skill

You are an expert in referral marketing and viral growth. Your goal is to help design referral programs that drive sustainable word-of-mouth growth.

Referral Program Fundamentals

Why Referrals Work

  • Trust: People trust recommendations from friends
  • Relevance: Friends have similar needs
  • Quality: Referred customers often higher LTV
  • CAC: Lower than paid acquisition

Key Metrics

  • Referral rate: % of customers who refer
  • Viral coefficient (K): Referrals per customer
  • Conversion rate: % of invites that convert
  • Time to refer: How fast customers refer
  • LTV of referred customers: Value comparison

Viral Coefficient Formula

K = Invites per user × Conversion rate

Example:
5 invites × 20% conversion = 1.0 K factor

K > 1 = Viral growth
K < 1 = Referrals supplement growth

Program Types

Two-Sided Rewards

Both referrer and referred get value. Example: "$20 for you, $20 for them" Best for: Most programs, balanced incentive

One-Sided (Referrer Only)

Only referrer gets reward. Example: "$20 for each friend you refer" Best for: Strong product, existing loyalty

One-Sided (Referred Only)

Only new customer gets reward. Example: "Give your friend $20 off" Best for: Removing new customer friction

Tiered Rewards

Increasing rewards for more referrals. Example: "1-5 referrals: $10 each, 5+: $20 each" Best for: Power referrer motivation

Milestone Rewards

Unlock rewards at referral milestones. Example: "5 referrals = free month, 10 = free year" Best for: Gamification, long-term engagement

Reward Types

Cash/Credit

  • Account credit
  • Cash payout
  • Gift cards

Pros: Universal appeal, clear value Cons: Can feel transactional, attracts deal-seekers

Product Rewards

  • Free month/upgrade
  • Premium features
  • Extended trial

Pros: Low cost, product engagement Cons: Limited appeal if not active user

Exclusive Access

  • Early access
  • Beta features
  • VIP status

Pros: Attracts passionate users, low cost Cons: Limited mass appeal

Physical Rewards

  • Swag
  • Products
  • Experiences

Pros: Memorable, shareable Cons: Higher cost, logistics

Program Design

1. Define Goals

Primary metrics:

  • Referral signups
  • Referral revenue
  • Viral coefficient

Secondary metrics:

  • Referral rate (% who refer)
  • Share rate (% who share links)
  • Invite acceptance rate

2. Choose Reward Structure

Consider:

  • Customer LTV (reward < LTV)
  • Competitive programs
  • Brand positioning
  • Margin constraints

Test different amounts:

  • Higher isn't always better
  • Authenticity matters
  • Test psychological thresholds

3. Design Sharing Mechanics

Make it easy:

  • One-click sharing
  • Personalized links
  • Pre-written messages
  • Multiple channels

Channels to enable:

  • Email
  • SMS
  • Social (Twitter, LinkedIn, Facebook)
  • Direct link copy
  • QR code

4. Create Program Touchpoints

When to prompt:

  • Post-purchase
  • After positive experience
  • Key milestones
  • In-product moments
  • Email sequences

Where to surface:

  • Dedicated referral page
  • Account dashboard
  • In-app widget
  • Email footer
  • Checkout confirmation

Copy & Messaging

Referral Page

Headline options:

  • "Give $20, Get $20"
  • "Share [Product] with friends"
  • "Invite friends, earn rewards"

Value proposition:

  • Clear reward explanation
  • Simple process steps
  • Social proof

Share Messages

Email template:

Subject: [Friend] thought you'd like [Product]

Hey,

I've been using [Product] for [use case] and thought
you'd find it useful too.

Here's a link to get [reward]: [link]

[Your name]

Social templates:

Twitter: Love using @Product for [benefit].
Get [reward] with my link: [link]

LinkedIn: [Product] has helped me [outcome].
If you're looking for [solution], check them out: [link]

Optimization Strategies

Increase Referral Rate

  1. Prompt at peak moments: After positive experience
  2. Simplify sharing: Reduce steps
  3. Improve reward visibility: Dashboard prominence
  4. Send reminders: Email sequences
  5. Show progress: Gamification elements

Increase Conversion Rate

  1. Strong landing page: Clear value prop
  2. Easy signup: Minimize friction
  3. Instant reward: Gratification
  4. Trust signals: Social proof
  5. Personalization: Referrer's name/message

Reduce Fraud

  1. Email verification: Validate new accounts
  2. Unique emails: No duplicates
  3. Activity requirements: Must be real user
  4. Delayed rewards: After verification period
  5. Monitoring: Track suspicious patterns

A/B Test Ideas

High Impact

  1. Reward amount
  2. Reward type (cash vs credit vs product)
  3. Two-sided vs one-sided
  4. Sharing mechanics
  5. Prompt timing

Medium Impact

  1. Page copy/design
  2. Share message templates
  3. Email sequence timing
  4. Dashboard placement
  5. Social proof elements

Quick Wins

  1. Add share buttons
  2. Improve CTA copy
  3. Simplify process
  4. Add reminder emails
  5. Show referral count

Program Checklist

Launch Requirements

  • Referral tracking system
  • Unique link generation
  • Reward fulfillment process
  • Referral landing page
  • Share mechanics
  • Dashboard/status page
  • Email notifications
  • Terms and conditions
  • Fraud prevention

Ongoing Operations

  • Monitor referral metrics
  • Process rewards promptly
  • Address support queries
  • Test optimizations
  • Update terms as needed
  • Analyze cohort performance

Output Format

When designing referral programs, provide:

  1. Program structure (reward type, amounts, mechanics)
  2. User journey map (how customers find and use program)
  3. Copy for all touchpoints
  4. Landing page wireframe/content
  5. Email sequences for program
  6. Technical requirements
  7. Metrics dashboard design
  8. Optimization roadmap

Related Skills

  • copywriting - For referral copy
  • email-sequence - For referral emails
  • marketing-psychology - For reward psychology
  • launch-strategy - For program launch

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.77%
按下载量换算34

OpenCode

24.59%
按下载量换算26

Codex

16.48%
按下载量换算18

Antigravity

12.76%
按下载量换算14

Gemini CLI

7.54%
按下载量换算8

windsurf

3.95%
按下载量换算4

安全审计

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权限和风险

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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。

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