Question- data skewness and transformation

I have a sample size of 4290
The outcome variable (physical activity) is highly skewed and does not change with any form of transformation.
I need to model it as continuous to capture small benefits rather than categorically. Can I still do multiple linear regression since my sample size is not so small?
Or can I categorise physical activity (no, low, moderate, high) and perform ordinal logistic regression?

Thanks,
Mamaru,

We have found that a semiparametric model such as the proportional odds ordinal logistic model works well for physical activity data. Among other advantages it handles lots of zeroes. Resources about this model are here.

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Thanks for the very informative direction!