I second stevenwliao's recommendation of Superforecasting by Philip Tetlock. It's a good intro. It might seem unsatisfying in that there is no single thing that makes one good, and he basically refers to it (appropriately) as good judgement. But it highlights a lot of basic areas.

Practice is also good. If you're not used to probabilistic thinking you'll need to develop that intuition and calibration.

Anything about how to think about things better is going to be useful. There's a Coursera course called Model Thinking that is might be useful. Just being curious about things in general and pushing yourself outside of your normal areas of competency/interest.

It might seem weird, but I find Twitter to be pretty essential these days. There are a lot of smart people freely sharing information and some don't mind answering questions.

There's an awesome book about getting better at predictions called "Superforecasting"

https://www.goodreads.com/book/show/23995360-superforecastin...

The idea is to make lots of time-limited, falsifiable predictions with percentage estimates attached and check your track record.