Back to list
SylphxAI

referral

by SylphxAI

🚀 AI development platform with MEP architecture - stop writing prompts, start building with 90% less typing

4🍴 3📅 Jan 8, 2026

SKILL.md


name: referral description: Referral systems - referral programs, viral loops. Use for referrals.

Referral Guideline

Tech Stack

  • Analytics: PostHog
  • Database: Neon (Postgres)

Non-Negotiables

  • Referral rewards must have clawback capability for fraud
  • Attribution must be auditable (who referred whom, when, reward status)
  • Velocity controls must exist to prevent abuse

Context

Referral programs can drive explosive growth — or become fraud magnets. The best referral programs make sharing natural and rewarding. The worst become liability when abusers exploit them.

Consider both sides: what makes users want to share? And what prevents bad actors from gaming the system? A referral program that's easy to abuse is worse than no referral program.

Driving Questions

  • Why would a user share this product with someone they know?
  • How easy is it for a bad actor to generate fake referrals?
  • What fraud patterns exist that we haven't addressed?
  • What is the actual ROI of the referral program?
  • Where do users drop off in the referral/share flow?
  • If we redesigned referrals from scratch, what would be different?

Score

Total Score

75/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新

+5
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

💬

Reviews coming soon