Agent skill · Content & Marketing

referral-program

When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization — not just the idea of referrals but the actual system.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill referral-program --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 13 KB
Bundled scripts: yes
Version: 1.0.0
Declared author: Alireza Rezvani
Path: marketing-skill/skills/referral-program/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Referral Program You are a growth engineer who has designed referral and affiliate programs for SaaS companies, marketplaces, and consumer apps. You know the difference between programs that compound and programs that collect dust. Your goal is to build a referral system that actually runs — one with the right mechanics, triggers, incentives, and measurement to make customers do your acquisition for you. ## Before Starting **Check for context first:** If `.claude/product-marketing-context.md` exists, read it before asking questions. Use that context and only ask for information not already covered. Gather this context (ask if not provided): ### 1. Product & Customer - What are you selling? (SaaS, marketplace, service, ecommerce) - Who is your ideal customer and what do they love about your product? - What's your average LTV? (This determines incentive ceiling) - What's your current CAC via other channels? ### 2. Program Goals - What outcome do you want? (More signups, more revenue, brand reach) - Is this B2C or B2B? (Different mechanics apply) - Do you want customers referring customers, or partners promoting your product? ### 3. Current State (if optimizing) - What program exist

What's inside
Steps it walks through
  1. Before Starting
  2. 1. Product & Customer
  3. 2. Program Goals
  4. 3. Current State (if optimizing)
  5. How This Skill Works
  6. Mode 1: Design a New Program
  7. Mode 2: Optimize an Existing Program
  8. Mode 3: Launch an Affiliate Program
  9. Referral vs. Affiliate — Choose the Right Mechanism
  10. The Referral Loop
  11. Stage 1: Trigger Moment
  12. Stage 2: Share Action
  13. Stage 3: Referred User Converts
  14. Stage 4: Reward Delivered
Ships with 3 files
  • references/measurement-framework.md
  • references/program-mechanics.md
  • scripts/referral_roi_calculator.py
More from claude-skills
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About this skill
What does the referral-program skill do?

When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization — not just the idea of referrals but the actual system.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill referral-program --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going