I would specifically (try to) avoid using any sort of “truncated” distributions (including uniform, half normal, etc.). They are fine in principle, but the sharp boundaries tend to make NUTS unhappy. So many something like a gamma? It really depends on the application.
I would also suggest cranking up the target acceptance. It defaults to 0.8, but setting it to 0.9 or 0.95 can often alleviate smaller sampling issues (possibly at the expense of efficiency)