Another learning that had was cut by user intent and not by data model. So when I started building the skill library, I had very narrow use cases. So add skill for estimation analysis or add for fundamentals. But I got real use cases and those use cases were not reflecting the data model. Those were really about the real use cases and I had to refactor this multiple times and that is okay, right? you start simply with narrower use cases and as you discover more use cases you start refactoring your skill library. So in practice it means that you know instead of having an estimate analysis skill you should have earning preparation skill instead of having a skill for news and analysis analyst rating skill you should have a pre-market briefing skill.