What about Non-Normality. How to deal with non normally distributed variables?

So far we have assumed normality for the underliying distribution of our variables but, besides CLM, is there any way to deal with non normally distributed variables? How can we compute Confidence Intervals or hypothesis testing when normality is not present?

Thanks in advance.