Let $V$ be an $n$-dimensional vector space over a field of characteristic $0$. For a linear operator $T\in \mathcal L(V)$, we know that $\bigwedge^n T=(\det T)I$, where $I:V\to V$ is the identity map.
Further, from this answer we can define the adjugate of $T$ as $\bigwedge^{n-1}T^t:\bigwedge^{n-1}V^*\to \bigwedge^{n-1}V^*$, where $T^t$ is the transpose of $T$. We write $T^\sharp$ as a shorthand for $\bigwedge^{n-1}T^t$.
The Question: It is a well-known formula that if $M$ is an $n\times n$ matrix with entries from a field $F$, then $$\text{adj}(M)M=M(\text{adj}(M))=(\det M)I_n$$ where $\text{adj}(M)$ is the adjugate of $M$.
I am trying to formulate this fact in the language of linear maps rather than matrices. The problem is that it does not mean anything to take the product of $T^\sharp$ with $T$. We just need to make a connection between $T^\sharp$ , $T$, and $\bigwedge^n T^t$.