Knowledge is shifting from content to service.
agent-skills.ai is the platform for the world’s leading experts to make the leap — turning their methodology into AI experiences that work for thousands, ongoing.
Closing the gap between knowing and doing.
For two hundred years, expertise has been packaged as content. Books to read. Courses to complete. Talks to attend. Frameworks to memorize.
It worked when applying knowledge required a human to translate it. You’d read the book, interpret the principles, then try — alone — to apply them to your real situation. Most of the time, the gap between knowing and doing was too wide. The methodology stayed on the shelf.
AI changes the physics of this. The methodology can now apply itself. The expert’s judgment can show up where the work happens — on your AI, on your problem, in real time.
This is not a better way to read books. It’s a different shape entirely.
Knowledge becomes a service.
AI already knows your subject.
It doesn’t know your method.
Every major AI model has read the books and can summarize the frameworks. Ask ChatGPT to explain Shape Up, MEDDIC, or Getting Things Done — you’ll get a perfectly decent answer.
What it can’t do is apply your specific judgment. The order you assess things. The failure modes you watch for. The specific thresholds that separate amateur from expert. The moments you push back versus hold space.
That’s what a skill captures. Not your knowledge — any AI has that. Your methodology.
The expertise that took you years to develop. The thing that makes your approach actually work. The reason practitioners pay for you and not the textbook.
Transform how expert knowledge reaches the world.
Not through more content. Through methodology that works on your actual challenges.
A world where anyone can access the calibrated judgment of experts.
The thresholds, patterns, and decision trees that take years to develop, applied to their real work, in real time.
Value · 01Execution Over Explanation
We believe in tools that do, not tools that teach. Skills work on your actual problems. The output is the methodology applied — not an essay about the methodology.
Value · 02Creator-First Economics
70% revenue share. Direct user relationships. Subscriber data the creator owns. We’re infrastructure, not the product. The methodology is the value.
Value · 03Open Standards
Built on MCP and the open SKILL.md format because open protocols win. Your skills work everywhere — not just our platform. We win by being the best place to build, not by lock-in.
Value · 04Quality Over Quantity
A curated marketplace with real standards. Every skill passes through six stages of empirical testing. We publish the scores. Better to ship 10 skills that work than 100 that don’t.
Empirically tested. Not user-rated.
Most AI marketplaces work on stars and reviews. We work on measurement.
Every skill on the platform passes through a six-stage pipeline before it goes live: Eval → Craft → Capability → Build → Test → Market. The Test stage runs the skill across multiple scenarios and measures four dimensions:
01Methodology fidelity — does it apply the framework correctly?
02Voice authenticity — does it sound like the creator?
03Actionability — does the user get a real next step?
04Differentiation — is the output meaningfully better than base AI?
We publish the scores. Buyers see the proof, not just the marketing.
After launch, three more scanners run continuously: precision (is the skill triggering when it should?), regression (did a model update break something?), sunset (has base AI caught up?).
This is the work most platforms don’t do. It’s also the reason the skills work.
Why creators can share their full work — and trust us with it.
Most AI tools work from public data — books, articles, documentation that’s openly crawlable. The depth is shallow because the source is shallow.
We built differently. Three things that combine into one thing:
01Thin-client architecture
The skill code runs on our servers, not yours.
02Full-text RAG retrieval
The creator’s complete work indexed and retrievable in context.
03DRM by architecture
The source never leaves our infrastructure.
Result: creators contribute their complete work — entire books, internal frameworks, unpublished case studies — knowing none of it ever leaves agent-skills servers. Can’t be downloaded. Can’t be scraped. Can’t be reverse-engineered.
The skills are deeper because we have the full source. The source stays where it belongs.
Today: methodology you use.
Tomorrow: experts you talk to.
A skill is a single methodology packaged as an AI experience. A creator’s specific framework — Shape Up, JTBD, Mom Test, MEDDIC — extracted, tested, and delivered as a server-side AI tool that works inside any MCP-compatible client.
This is what’s live now. This is what you can use today.
A compound agent is a creator’s complete embodiment. Not one tool — multiple frameworks, the creator’s voice, knowledge graph, memory, and synthesis layer working together. “Talk to Garry Tan” not “use a Garry Tan tool.”
The skill ecosystem has solved “run this.” agent-skills.ai is solving “what now.”
What agent-skills is not.
01Chatbots talk. Skills execute methodology.
02We capture judgment, not prompts.
03Skills run on any model. We don’t sell the model.
04Not selling courses or PDFs. Selling living service.
05Creator IP doesn’t feed AI training. The methodology applies, the source stays protected.
06We don’t do the work for the user. The skill does.
07Generic agents execute tasks. Skills execute judgment. Different category.
The world’s expertise shouldn’t sit idle in books.
It should be working.