Okay, so the idea behind the new decorator is not to group all the defined steps under the same script so that they share the same environment, but rather to simplify the process of creating scripts for each step and avoid manually calling 

Task.init

 on those scripts.

Correct, and allow users to more easily create Tasks from code.

Regarding virtual environment creation from caching, I will keep running benchmarks (from what you say it might be due to high workload in the servers we use)

Notice you need to enable this line:
https://github.com/allegroai/clearml-agent/blob/e17246d8ea1a113474af96d9274c42c749fe66db/docs/clearml.conf#L109

So far I've been unlucky in the attempt of 

clearml

 recognizing packages within the decorator function, but I'll keep trying it (edited)

This is odd, if you can create a toy example, we can probably test that

By the way, where can I change the default artifacts location (

output_uri

) if a have a script similar to this example (I mean, from the code, not agent's config):

That is a good point , I guess the assumption is that you configure it on the clearml-agent configuration, as it makes sense that all remote Tasks would have the same output_uri, no?