This article introduces a family of distributional shapes which is flexible
in the sense that it contains skewed and symmetric laws as well as heavy-t
ailed and light-tailed laws. The proposed family is also practically conven
ient because it is easy to fit to a table of quantiles from any distributio
n. Inversely, for each of the distributional shapes it is trivial to comput
e quantiles for any desired probability, and it is possible to compute the
corresponding densities.