referral-program-design
Design a referral or viral-loop program that actually drives growth. Use when asked to design a referral program, build a viral/invite loop, set referral incentives, or improve word-of-mouth growth. Produces a referral design — the loop mechanics, incentive structure (who gets what, when), the viral-math estimate (k-factor/cycle time), fraud guardrails, placement & messaging, and success metrics.
npx skills add mohitagw15856/pm-claude-skills --skill referral-program-design --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Referral Program Design Skill A referral program is a growth loop, not a coupon. It only compounds if each new user invites more than they cost and the cycle is fast. This skill designs the mechanics and incentives, then sanity-checks them with the viral math — because most referral programs fail not on creativity but on a k-factor below 1. ## Required Inputs Ask for these only if they aren't already provided: - **Why users would share** — the genuine reason (status, mutual benefit, the product is better with others). - **Economics** — the value of a new customer (so the incentive budget is grounded) and current organic word-of-mouth. - **The moment of delight** — when users are happiest (the best time to ask for a referral). - **Goal** — what the program must do (lower CAC, accelerate growth) and over what horizon. ## Output Format ### Referral Program: [product] **1. The loop** — map it: a user does X → is prompted to invite → friend accepts → friend activates → becomes a referrer. Name every step; the loop is only as strong as its weakest conversion. **2. Incentive structure** — who gets what and **when it unlocks** (one-sided vs. two-sided; reward on signup vs. on the friend'
- Required Inputs
- Output Format
- Referral Program: [product]
- Quality Checks
- Anti-Patterns
- Based On
What does the referral-program-design skill do?
Design a referral or viral-loop program that actually drives growth. Use when asked to design a referral program, build a viral/invite loop, set referral incentives, or improve word-of-mouth growth. Produces a referral design — the loop mechanics, incentive structure (who gets what, when), the viral-math estimate (k-factor/cycle time), fraud guardrails, placement & messaging, and success metrics.
How do I install it?
Run `npx skills add mohitagw15856/pm-claude-skills --skill referral-program-design --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 mohitagw15856/pm-claude-skills, a repository with 1,255 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.