Derushing in general is the most time consuming, so not only language pattern recognition but also image recognition: "From the rushes, extract all the sequences with bicycle crashes to give me a pile of clips to use in my edit" !
I film a bunch of skateboarding, and it can take tens of tries to land a trick. Similarly, there's usually an unique sound that signals a trick was finally landed.
Good multi-modal search and discovery is a huge part of cracking the editing problem.
How far have you been able to come with search for trick variations? It would be interesting to see a system that can reliably recognize what’s switch, nollie vs fakie etc. Then have it generate a list of all tricks for each skater and perhaps outstanding fails. Just some thoughts.