Why I built this
When I first started using AI in my research, my outputs were absolute garbage. I'd look at a synthesis and think, why didn't I just do this myself? Did it really save time?
At first I blamed the tool. Then I wrote a research plan skill that was supposed to make great plans and, guess what, it didn't, because I hadn't given it any context about how I plan research. Every skill I've built since then is based on previous work, real studies I ran with companies, real templates and real case studies, and that's what makes the output follow my standards.
A skill is a plain-text file you add to your AI tool once. Each one holds a framework, my best practices, worked examples and the phrases that tell your tool when to use it, so you convey your expertise one time and you're not re-explaining yourself over and over again.
For me, they take the checklist, mundane parts of research off my plate so I have more time for the strategic stuff. Whatever they give you is still a first draft, never the final draft, and the judgment stays with you.





