Token导航 LogoToken导航

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,权限为权限未标注;许可证为 MIT,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 64,068。

总安装 306周安装 13GitHub Stars 公开资料未说明下载 107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
MIT

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

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。

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。

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/alexwelcing/copy --skill referral-program;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

referral-program 怎么安装?

在终端执行 npx skills add https://github.com/alexwelcing/copy --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?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

referral-program 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

referral-program 用的人多吗?

公开数据是累计安装 306 次,近一周安装 13 次,下载 107 次。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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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

306—权限未标注MIT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

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

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

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。

继续浏览同类 Skills