Making expert methodology accessible
llmskills exists because expert knowledge shouldn't be locked in books and courses. It should work on your actual problems. We're building the infrastructure to make that happen.
Our Mission
Transform how expert knowledge reaches the world. Not through more content, but through methodology that works on your actual challenges.
Our Vision
A world where anyone can access the calibrated judgment of experts—the thresholds, patterns, and decision trees that take years to develop.
The problem we're solving
For Users
You've read the business books. Taken the courses. Know the frameworks. But when you sit down to apply them to YOUR situation, you're alone. Base AI knows about frameworks—but it doesn't know the calibrated thresholds, the expert patterns, the "this is actually good" vs "this needs work" judgment that takes years to develop.
For Creators
You've spent years developing a methodology that works. But you can only reach so many people through consulting, courses, or books. Your expertise is locked in a format that doesn't scale—and most of it never even gets captured. The nuances, the "it depends," the judgment calls.
Our Solution
Skills bridge this gap. They extract expert methodology—the decision trees, calibrated thresholds, and prescribed formats—and make it work on users' actual problems. Not another explanation of the framework. The framework, applied.
Our Values
Execution Over Explanation
We believe in tools that do, not tools that teach. Skills work on your actual problems.
Creator-First Economics
70% revenue share because the methodology is the value. We're infrastructure, not the product.
Open Standards
Built on MCP because open protocols win. Your skills work everywhere, not just our platform.
Quality Over Quantity
Curated marketplace with standards. Every skill must deliver real value, not just content.
Built on MCP
We're built on the Model Context Protocol—an open standard for connecting AI to tools and data. This means your skills work everywhere: Claude, ChatGPT, Cursor, and any future AI that supports MCP. We believe in open protocols because lock-in doesn't serve users or creators.
Join us in building the future of expertise
Whether you're a user looking for expert guidance or a creator with methodology to share.