Expertise that works inside your AI.
Skills are creator-crafted methodology that lives inside your AI. Not generated content. Not chatbot prompts. Real expertise, from real experts, working on your real stuff.
Expert knowledge is everywhere.
Expert judgment is scarce.
You can read any business book. Take any course. Watch any YouTube video. The information is free, abundant, and increasingly searchable through AI.
But when it’s time to apply it to your situation? You’re on your own.
The book tells you what should happen. The framework tells you what to look for. Neither tells you what to do with your specific deal that’s stuck, your specific team that’s underperforming, your specific draft that isn’t working.
That’s the gap. And it’s the gap skills close.
Claude knows frameworks. Skills apply them.
- You get an explanation.
- You learn the concepts.
- You still have to figure out how to apply it yourself.
- You get a diagnosis.
- You see calibrated scores.
- You see specific gaps.
- Action recommendations. Ready to use.
The gap is judgment. What “good” looks like. What to do when X happens. The thresholds that separate amateur from expert. Skills have that. Base AI doesn’t.
Four things that make a skill work.
01Calibrated Thresholds
What numbers actually mean. "7/10 is failing." The expert's real standards — not generic rubrics, not best-effort scoring.
02Prescribed Formats
THE way to present, not A way. The expert's exact templates and structures — the formats that actually get results.
03Pattern Recognition
"I can tell in 10 seconds if they're ready." What experts notice that novices miss — encoded into the skill, applied in real time.
04Decision Trees
The questions experts ask in sequence. The actual diagnostic process. First X, then if Y, then Z — running on your work.
Three steps. Real outputs.
01Find the skill
Browse by category. Pick a methodology that fits your situation — sales, leadership, writing, product, learning. We have nine categories and growing.
02Connect once
One MCP setup, then it’s available across every AI you use — Claude, ChatGPT, Cursor, Gemini. No new app to install. No new UI to learn. Just conversation.
03Bring your work
The methodology applies itself. Bring your real deal, your real draft, your real plan. Get a diagnosis, scores, gaps, action recommendations — in the expert’s prescribed format, ready to use.
Why a skill knows more than ChatGPT.
Most AI tools work from public data — books, articles, documentation that’s been crawled. The depth is shallow because the source is shallow.
Skills work differently. Because the methodology runs server-side and the creator’s IP is protected by architecture, creators can contribute their complete work into the skill — entire books, internal frameworks, unpublished case studies, proprietary scoring rubrics.
The skill quotes the actual case study, not the Wikipedia summary. Applies the actual scoring rubric, not a paraphrase. Recognizes the actual edge case, not the textbook version.
Public-data AI gets you the gist. Skills get you the depth.
From content you read to a service that runs.
01Books
You read. You interpret. You try to apply. Maybe it works.
02Courses
You watch. You learn. You practice. Still guessing on your real work.
03Consultants
They apply it for you. But only for those who can afford $500/hour.
04Skills
The methodology applies itself. To your work. Whenever you need it.
Skills are to expertise what apps were to functionality.
A new medium. Not a better book.
A book can tell you the framework.
A skill can run it for you.