The article introduces new ways to estimate the shape of distributions using nonparametric methods. By estimating quantile and density functions, the researchers developed estimators for right and left shape functions. These estimators are proven to be accurate and consistent, even in complex situations. Simulations show that the estimators work well in practice, and real data analysis supports their effectiveness.