  Let $M_n=\max \left(X_1, X_2, \ldots, X_n \right)$ denote the partial maximum
of an independent and identically distributed skew-normal random sequence. In
this paper, the rate of uniform convergence of skew-normal extremes is derived.
It is shown that with optimal normalizing constants the convergence rate of
$\left(M_{n}-b_n\right)/a_n$ to its ultimate extreme value distribution is
proportional to $1/\log n$.
