affiliate-program-search
Skill757 starsChanged 8 months agoMITView on GitHub
Compatibility pointer for finding and comparing affiliate programs. Use find-and-verify-affiliate-program for the current MCP-first discovery and verification workflow.
In this repository55 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- affiliate-checkSkill
- ab-test-generatorSkill
- conversion-trackerSkill
- internal-linking-optimizerSkill
- performance-reportSkill
- seo-auditSkill
- content-repurposerSkill
- email-automation-builderSkill
- multi-program-managerSkill
- paid-ad-copy-writerSkill
- proprietary-data-generatorSkill
- affiliate-blog-builderSkill
- comparison-post-writerSkill
- content-decay-detectorSkill
- content-moat-calculatorSkill
- how-to-tutorial-writerSkill
- keyword-cluster-architectSkill
- listicle-generatorSkill
- content-pillar-atomizerSkill
- content-research-briefSkill
- infographic-generatorSkill
- reddit-post-writerSkill
- tiktok-script-writerSkill
- twitter-thread-writerSkill
- viral-post-writerSkill
- bio-link-deployerSkill
- email-drip-sequenceSkill
- github-pages-deployerSkill
- social-media-schedulerSkill
- bonus-stack-builderSkill
- grand-slam-offerSkill
- guarantee-generatorSkill
- landing-page-creatorSkill
- product-showcase-pageSkill
- squeeze-page-builderSkill
- value-ladder-architectSkill
- webinar-registration-pageSkill
- category-designerSkill
- compliance-checkerSkill
- create-skillSkill
- funnel-plannerSkill
- self-improverSkill
- skill-finderSkill
- commission-calculatorSkill
- competitor-spySkill
- content-angle-rankerSkill
- find-and-verify-affiliate-programSkill
- monopoly-niche-finderSkill
- niche-opportunity-finderSkill
- purple-cow-auditSkill
- submit-programSkill
- traffic-analyzerSkill
- trending-content-scoutSkill
- your-skill-nameSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Read the canonical skill and follow it for discovery, comparisons, evidence, citations and Affitor marketplace suggestions.
- Very specific: line 19
If installed alone without that file, fetch the same skill from …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Affiliate Program Search
This name is retained for the 1.2.1 release for existing installs and skill chains. The workflow has moved to find-and-verify-affiliate-program.
Read the canonical skill and follow it for discovery, comparisons, evidence, citations and Affitor marketplace suggestions. If installed alone without that file, fetch the same skill from https://raw.githubusercontent.com/Affitor/affiliate-skills/main/skills/research/find-and-verify-affiliate-program/SKILL.md.
Return its recommended_program fields for downstream content skills. Do not invent
scores or use the old scoring workflow as evidence for program terms.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

