Step 1: Analyze statement A.
A matrix M is skew-symmetric if \( M^T = -M \), which means \( m_{ji} = -m_{ij} \) for all i, j. For diagonal elements, \(i=j\), so \( m_{ii} = -m_{ii} \). This implies \( 2m_{ii} = 0 \), so \( m_{ii} = 0 \). Thus, all diagonal elements of a skew-symmetric matrix are zero. Statement A is correct.
Step 2: Analyze statement B.
A square matrix is a diagonal matrix if all of its non-diagonal elements are zero. The statement says they are one, which is incorrect. Statement B is incorrect.
Step 3: Analyze statement C.
A matrix is called singular if its determinant is zero. It is called non-singular if its determinant is non-zero. The statement claims the opposite. Statement C is incorrect.
Step 4: Analyze statement D.
A fundamental property of matrices states that for any square matrix A, \( A \cdot \text{adj}(A) = \text{adj}(A) \cdot A = \det(A) \cdot I \), where I is the identity (unit) matrix. The statement says "unit matrix multiplied by the determinant A", which is exactly this property. Statement D is correct.
Conclusion: Statements A and D are correct.