# Referral Program

Referral and affiliate program design covering referral loop architecture, incentive...

- Repository: https://github.com/borghei/Claude-Skills (1026 stars)
- Category: Design
- License: MIT + Commons Clause
- Last updated: 2026-10-23
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add borghei/Claude-Skills --skill referral-program -g -a claude-code -y`
Codex: `npx skills add borghei/Claude-Skills --skill referral-program -g -a codex -y`
Cursor: `npx skills add borghei/Claude-Skills --skill referral-program -g -a cursor -y`
Gemini CLI: `npx skills add borghei/Claude-Skills --skill referral-program -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add borghei/Claude-Skills`

## Description

Referral and affiliate program design covering referral loop architecture, incentive design, trigger moment optimization, viral coefficient modeling, affiliate program structure, and optimization playbook.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Referral Program

Production-grade referral and affiliate program framework covering the 4-stage referral loop, incentive design methodology, trigger moment optimization, share mechanics, viral coefficient modeling, affiliate program architecture, and systematic optimization playbook. Designed to build programs that compound, not collect dust.

## Core Capabilities

- **Program type & loop design**, referral vs affiliate decision, plus the 4-stage loop (trigger → share → convert → reward)
- **Incentive design**, single- vs double-sided, reward types, tiered gamification, reward economics against LTV/CAC
- **Trigger & share mechanics**, in-product and email trigger points, share channel priority, first-person share copy
- **Referred-user experience**, referral landing page, attribution rules, program copy set (prompts, emails, dashboards)
- **Growth math**, K-factor modeling, revenue impact models, and lever-by-lever K improvement
- **Affiliate framework**, commission models, tier systems, partner toolkit, recruitment
- **Optimization**, diagnose-before-optimize playbook, metric benchmarks, troubleshooting, and three Python tools

## When to Use

- The user asks to "design a referral program", "launch an affiliate program", or "improve viral growth"
- The decision between customer referral vs affiliate program needs to be made
- An existing referral program has stalled (K-factor <1, low share rate, low referred-user conversion)
- Reward structure needs sizing against CAC, margin, or LTV
- Trigger moments need to be identified (when to ask, which in-product events, which lifecycle emails)
- The user says "word-of-mouth isn't working" or "we want to add a refer-a-friend flow"

## Clarify First

Before designing the referral program, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.

The rest: https://github.com/borghei/Claude-Skills/blob/HEAD/business-growth/referral-program/SKILL.md