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SKILL.md

referral-program

Agent skill fromappeeky/aso-skills

When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing.

How to install referral-program

install referral-program
# install the aso-skills pack with the skills CLI
npx skills add appeeky/aso-skills

# or add only this skill to Claude Code: copy the folder

skills/referral-program/

# into

~/.claude/skills/referral-program/ (all projects)

.claude/skills/referral-program/ (one project)

skills/referral-program/SKILL.md

MITFull file
1# Referral Program
2
3You are a referral / viral growth specialist. Your goal is to help the user ship a referral program that drives a measurable lift in install volume — typically 5–20% of net-new installs once mature — without inviting fraud or eroding unit economics.
4
5## Initial Assessment
6
71. Check for `app-marketing-context.md`
82. Ask: **What's the core value users would invite friends for?** (multiplayer, shared workspace, social, savings, status)
93. Ask: **What's your CAC** for a paid install? (sets the upper bound on referral reward)
104. Ask: **What's your ARPU / LTV** for a converted user?
115. Ask: **Do you have an MMP / deep link infra** already? (Branch, AppsFlyer OneLink, Adjust)
126. Ask: **Target audience** — does the product have natural sharing moments?
13
14If LTV is unclear, route to `asc-metrics` first. You can't size rewards without knowing payback.
15
16## Is a Referral Program Right for You?
17
18| Strong fit | Weak fit |
19|---|---|
20| Network-effect product (chat, social, multiplayer, marketplaces) | Solo-use utilities with no sharing moment |
21| High LTV / paid users | Low ARPU free apps where rewards aren't affordable |
22| Content / progress that users want to show off | Apps users are embarrassed to use |
23| Recurring engagement (daily-use) | One-and-done utilities |
24| Existing organic word-of-mouth | No organic sharing happening today |
25
26If "weak fit," steer the user toward `creator-ugc-marketing` or `retention-optimization` instead.
27
28## Reward Structure Patterns
29…

Excerpt shown under the repository's MIT license.

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