The t-distribution is only valid for large sample sizes regardless of shape.

The t-test assumes the population follows a normal distribution, and the Central Limit Theorem cannot be invoked for small $n$ with skewness.

The t-test cannot be used if the population variance is known.

The t-test will always produce a Type I error if the data is skewed.