Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection provides AI agents with the technical capabilities to manage the lifecycle of affiliate campaigns. It focuses on bridging the gap between content creation and performance data, enabling more precise adjustments to marketing strategies.
Affiliate marketers can use these skills to automate technical SEO audits, optimize internal linking structures, and design structured A/B tests to improve conversion rates.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
An available registry.json from the affiliate-skills repository
Optional broader goal or more specific analytics query
Use the skill-finder skill. My query is: "What analytics skills are available?" Read the available registry.json catalog and return a concise ranked guide with each matching skill's description, required inputs, and a recommended first step.
Use the conversion-tracker skill to prepare manual UTM tracking for [product name] using [base affiliate URL] on [one or two platforms]. Generate the tagged links, apply a consistent naming convention, and return a tracking table. Do not deploy or publish anything.
Content type: headline, CTA, landing section, email subject, or social hook
Optional audience and product
Use the ab-test-generator skill to test this [content type]: "[original content]". Optimize for clicks and generate the default three variants. For each variant, include a short hypothesis, then provide a compact test plan. Do not publish or launch the test.