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Affitor/affiliate-skills

52 Markdown Files for Monetizing Your AI Agent

Teaches AI agents to run affiliate marketing campaigns end-to-end using structured markdown skills, real engagement data, and autonomous stage chaining.

563 stars HTML AgentsLLMOps · Eval
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What it does

affiliate-skills is a collection of 52 structured markdown skill definitions that instruct AI agents how to run affiliate marketing campaigns end-to-end. It organizes work into an 8-stage flywheel—Research, Content, Blog/SEO, Offers, Distribution, Analytics, Automation, and Compliance—where output from one stage feeds into the next. Each skill is a rigidly formatted SKILL.md file with typed input/output schemas designed to work with any text-based AI, from Claude Code to ChatGPT.

The interesting bit

The framework treats affiliate marketing as an assembly line rather than guesswork. Skills like trending-content-scout and content-angle-ranker force the AI to ground decisions in real engagement data from YouTube, TikTok, and Reddit, while content-research-brief requires collecting actual source articles and stats before writing. Every skill includes chain_metadata.suggested_next, so the AI knows what stage comes next without human micromanagement.

Key highlights

  • 52 skills across 8 stages covering program research, content creation, landing page building, and performance analytics
  • Live data hooks: queries list.affitor.com for live commission data and scans social platforms for top-performing content by engagement metrics
  • Research-first generation: the content pipeline requires collecting real sources and statistics before drafting posts, reducing hallucinated claims
  • Autonomous chaining: skills explicitly suggest the next step in the flywheel via metadata, letting agents hand off work from research to deployment
  • Compliance and FTC audit skills are built into the framework, which is unusual for prompt-based marketing tools

Caveats

  • This is fundamentally a library of structured prompts and JSON schemas, not standalone software—you need a capable AI agent to interpret and execute the markdown instructions
  • The README demos idealized AI conversations; real-world performance depends on the underlying model’s ability to follow rigid markdown schemas and API calls

Verdict

Grab this if you want your AI to stop improvising marketing copy and start citing real engagement data and affiliate metrics. Skip it if you need a self-running SaaS—this is a framework of markdown instructions that still needs a capable AI agent to execute.

Frequently asked

What is Affitor/affiliate-skills?
Teaches AI agents to run affiliate marketing campaigns end-to-end using structured markdown skills, real engagement data, and autonomous stage chaining.
Is affiliate-skills open source?
Yes — Affitor/affiliate-skills is open source, released under the MIT license.
What language is affiliate-skills written in?
Affitor/affiliate-skills is primarily written in HTML.
How popular is affiliate-skills?
Affitor/affiliate-skills has 563 stars on GitHub.
Where can I find affiliate-skills?
Affitor/affiliate-skills is on GitHub at https://github.com/Affitor/affiliate-skills.

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