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sonpiaz

Posted on • Originally published at github.com

I Open Sourced 32 AI Skills That Take You From Zero to First Affiliate Commission

Most affiliate marketers pick programs by vibes, write content by guessing, and have no idea what actually converts.

I built a system that changes that — 32 AI-powered skills for Claude Code that handle the entire affiliate funnel: research, content, blog, landing pages, distribution, analytics, automation, and compliance.

Open source. MIT license. One paste to install.

The Problem

If you've tried affiliate marketing, this will sound familiar:

  • You Google "best affiliate programs" and get SEO spam written to rank, not to help
  • You write a blog review and guess if the CTA, headline, or disclosure is any good
  • You have no idea which content actually drives clicks — you just hope
  • You spend 4 hours on a landing page that converts at 0.2%
  • You pick programs by vibes instead of data

The Solution: 8 Stages, 32 Skills

Each skill is a single Markdown file (SKILL.md) that tells Claude exactly how to think about a specific affiliate marketing task. Skills chain together — output from one feeds into the next automatically.

S1 RESEARCH ──▶ S2 CONTENT ──▶ S3 BLOG ──▶ S4 LANDING
     │                                         │
     ▼                                         ▼
S6 ANALYTICS ◀──────── S5 DISTRIBUTION ◀──────┘
     │
     ▼
S7 AUTOMATION ──▶ SCALE
     │
S8 META (plan, comply, improve) ── across all stages
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What each stage does

Stage Skills What it does
S1: Research affiliate-program-search, niche-opportunity-finder, competitor-spy, commission-calculator Find and evaluate the best programs to promote
S2: Content viral-post-writer, twitter-thread-writer, reddit-post-writer, tiktok-script-writer Write viral social media content that drives clicks
S3: Blog affiliate-blog-builder, comparison-post-writer, listicle-generator, how-to-tutorial-writer Long-form SEO-optimized articles that rank and convert
S4: Landing landing-page-creator, product-showcase-page, squeeze-page-builder, webinar-registration-page High-converting pages in pure HTML/CSS
S5: Distribution bio-link-deployer, email-drip-sequence, social-media-scheduler, github-pages-deployer Get your content live and distributed
S6: Analytics conversion-tracker, ab-test-generator, performance-report, seo-audit Track, measure, and optimize
S7: Automation email-automation-builder, content-repurposer, multi-program-manager, paid-ad-copy-writer Scale what's working
S8: Meta skill-finder, funnel-planner, compliance-checker, self-improver Planning, FTC compliance, retrospectives

The CLI: affiliate-check

The repo also ships a CLI tool that queries live program data from list.affitor.com:

$ affiliate-check search "AI video"

Name                      Commission           Cookie     Stars
─────────────────────────────────────────────────────────────────
HeyGen                    20% recurring        60 days    ★ 127
Synthesia                 25% one-time         30 days    ★ 84
Fliki                     30% recurring        30 days    ★ 52
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One command. Real-time data. No SEO spam.

Other commands:

affiliate-check top                         # Top programs by stars
affiliate-check info heygen                 # Detailed program card
affiliate-check compare heygen synthesia    # Side-by-side comparison
affiliate-check status                      # Server status
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It runs as a persistent daemon (Bun) — first call starts it, subsequent calls are instant. Free tier works without an API key (max 5 results). Get unlimited access at list.affitor.com/settings.

Demo: Zero to First Commission

You:   I want to promote AI video tools. What's the best program?

       affiliate-check search "AI video"

Claude: HeyGen is the clear winner: highest commission, recurring,
        longest cookie. Let me research it in depth.

You:   Write a blog review of HeyGen for content creators.

Claude: [runs affiliate-blog-builder skill]
        [2,000-word SEO review with pros/cons, comparison table,
         FTC disclosure, and affiliate CTA]

You:   Create a landing page for this.

Claude: [runs landing-page-creator skill]
        [single-file HTML/CSS page, AIDA framework, mobile-responsive,
         ready to deploy]

You:   Plan my full funnel — I have 5 hours/week.

Claude: [runs funnel-planner skill]

        Week 1: Research → select 2-3 programs
        Week 2: Content → 5 LinkedIn + Twitter posts
        Week 3: Blog → 1 review article
        Week 4: Deploy → bio link page live
        Week 5: Analytics → fix SEO issues
        Week 6: Optimize → test headlines
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How it works

Each skill defines:

  • When to trigger — natural language patterns that activate the skill
  • Input/Output schemas — structured data for agent interop
  • Workflow — step-by-step procedure with decision points
  • Chaining — how outputs from one skill feed into the next

Skills pass data through conversation context, not files. Run S1 to find a program, then S2 uses that program's data automatically — no copy-pasting.

Entry points

You don't have to start from S1. Jump in wherever you are:

  • New to affiliate marketing: S8 funnel-planner → it plans everything
  • Have a product already: S2 (write content) or S3 (write a review)
  • Have content, need pages: S4 (landing page) or S5 (bio link)
  • Want to optimize: S6 (analytics + SEO audit)
  • Ready to scale: S7 (automation + paid ads)
  • Not sure which skill: S8 skill-finder

Install

Requirements: Claude Code, Git, Bun v1.0+ (for CLI).

Open Claude Code and paste this:

Install affiliate-skills: run git clone https://github.com/Affitor/affiliate-skills.git ~/.claude/skills/affiliate-skills && cd ~/.claude/skills/affiliate-skills && ./setup then add an "affiliate-skills" section to CLAUDE.md listing the 32 available skills across 8 stages.

Inspiration

This project is inspired by @garrytan's gstack (14K+ stars) — same pattern: skills + CLI tool + manifesto README.

gstack gave Claude Code dev superpowers. affiliate-skills gives it marketing superpowers.

Links

MIT license. Contributions welcome.


Built by Affitor. If you find it useful, star it on GitHub ⭐

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