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Similarly to what was recently done for rotate(). (skew is rather rarely used, but given that @timhoffm suggested this in #22108 (review), I may as well do it too :-))
To address @timhoffm's other comment ("Does it still make sense to keep Affine2D._mtx as a numpy array if we only do element-wise operations?"): I'm quite convinced the whole transform stack would be faster if the transformation matrix was not a numpy array (because 3x3 is a size where the numpy's overhead is generally bigger than the gains from vectorization), but changing everything at once (even better would be to move things to C, but using plain C structs (or equivalently C++ objects) to store the coefficients) would be quite a big PR. So I'm doing the easy parts first :-)
PR Summary
PR Checklist
Tests and Styling
pytest
passes).flake8-docstrings
and runflake8 --docstring-convention=all
).Documentation
doc/users/next_whats_new/
(follow instructions in README.rst there).doc/api/next_api_changes/
(follow instructions in README.rst there).