  Variational Bayes is a popular method for approximate inference but its
derivation can be cumbersome. To simplify the process, we give a 3-step recipe
to identify the posterior form by explicitly looking for linearity with respect
to expectations of well-known distributions. We can then directly write the
update by simply ``reading-off'' the terms in front of those expectations. The
recipe makes the derivation easier, faster, shorter, and more general.
