Affiliate Marketing

This walks you through building an affiliate program for SaaS or AI products, from commission structure to partner recruitment. It covers the mechanics: pay-per-sale vs pay-per-lead models, cookie duration, recurring commissions for subscriptions, and how to avoid brand bidding abuse where affiliates steal your own traffic. You get practical tables on commission rates, recruitment tactics like reverse-engineering competitor backlinks, and platform recommendations like Rewardful or Tapfiliate. The honest bit: it acknowledges most sales will come from a tiny fraction of partners, so the focus is quality over vanity metrics. Good if you're launching a program from scratch or debugging why yours isn't converting.

skills.sh installs: 1.3K
GitHub stars: 1.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add kostja94/marketing-skills --skill affiliate-marketing --agent claude-code

Installs into .claude/skills of the current project.

Files

Channels: Affiliate

Guides affiliate marketing strategy for AI/SaaS products. Affiliate marketing uses a CPS (Cost Per Sale) model—pay only when sales occur. ROI typically 5:1 to 10:1; CAC 40%–50% lower than paid ads.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Initial Assessment

Project context: Read root {project}.md when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.

Identify: