The correct answer is: normal distribution.
According to the Central Limit Theorem, regardless of the shape of the population distribution (significantly right-skewed in this case), the sampling distribution of the sample mean will tend to be approximately normally distributed as the sample size becomes large. With a sample size of 100, this is generally considered sufficiently large for the sampling distribution of the mean to be approximately normal.