# Referral

> Referral systems - referral programs, viral loops. Use for referrals.

- Skill: `majiayu000/referral-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/referral-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/referral-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/referral-2

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# Referral Guideline

## Tech Stack

* **Analytics**: PostHog
* **Database**: Neon (Postgres)
* **ORM**: Drizzle

## Non-Negotiables

* Referral attribution must be accurate and auditable
* Rewards must be fraud-resistant (no self-referral, duplicate abuse)
* Terms must be clear and enforced consistently

## Context

Referrals turn happy users into growth engines. But poorly designed referral programs create fraud opportunities and erode trust. The best referral programs feel generous, not gameable.

## Driving Questions

* What would make users genuinely want to refer others?
* How do we prevent referral fraud without punishing legitimate users?
* Is referral attribution working correctly across all channels?
* What's the referral conversion rate and what affects it?
* Are referral rewards actually motivating behavior?