Although late in the party, I post an answer on an elemementary level. May be this proves the power of tensor calculus used in all previous nice answers.
Abstract
In this answer we'll try to derive Maxwell equations in empty space
\begin{align}
\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{E} & = -\frac{\partial \mathbf{B}}{\partial t}
\tag{001a}\\
\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{B} & = \mu_{0}\mathbf{j}+\frac{1}{c^{2}}\frac{\partial \mathbf{E}}{\partial t}
\tag{001b}\\
\nabla \boldsymbol{\cdot} \mathbf{E} & = \frac{\rho}{\epsilon_{0}}
\tag{001c}\\
\nabla \boldsymbol{\cdot}\mathbf{B}& = 0
\tag{001d}
\end{align}
from the Euler-Lagrange equations
\begin{equation}
\boxed{\:
\dfrac{\partial }{\partial t}\left(\dfrac{\partial \mathcal{L}}{\partial \dot{\eta}_{\jmath}}\right) + \nabla \boldsymbol{\cdot}\left[\dfrac{\partial \mathcal{L}}{\partial \left(\boldsymbol{\nabla}\eta_{\jmath}\right)}\right]- \frac{\partial \mathcal{L}}{\partial \eta_{\jmath}}=0, \quad \left(\jmath=1,2,3,4\right)
\:}
\tag{002}
\end{equation}
where
\begin{equation}
\mathcal{L}=\mathcal{L}\left(\eta_{\jmath}, \dot{\eta}_{\jmath}, \boldsymbol{\nabla}\eta_{\jmath}\right) \qquad \left(\jmath=1,2,3,4\right)
\tag{003}
\end{equation}
is the Lagrangian density of the question (except a constant factor)
\begin{equation}
\boxed{\:
\mathcal{L}=\dfrac{\Vert\mathbf{E}\Vert^{2}-c^{2}\Vert\mathbf{B}\Vert^{2}}{2}+\dfrac{1}{\epsilon_{0}}\left( -\rho \phi + \mathbf{j}\boldsymbol{\cdot}\mathbf{A}\right)
\:}
\tag{004}
\end{equation}
and $\:\eta_{\jmath}\left( x_{1},x_{2},x_{3},t\right), \:\:\jmath=1,2,3,4\:$ the components $\:A_{1},\:A_{2},\:A_{3},\phi\:$ of the EM potential 4-vector respectively.
In a sense, this derivation is built on the inverse one ( : this of finding a proper Lagrangian density from Maxwell equations ) by moving backwards, see my answer here : Deriving Lagrangian density for electromagnetic field
1. Main Section
First we express $\:\mathbf{E},\mathbf{B}\:$ of (004) in terms of the potential 4-vector components $\:A_{1},\:A_{2},\:A_{3},\phi\:$
\begin{align}
\mathbf{B} & = \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}
\tag{005a}\\
\mathbf{E} & = -\boldsymbol{\nabla}\phi -\dfrac{\partial \mathbf{A}}{\partial t} = -\boldsymbol{\nabla}\phi - \mathbf{\dot{A}}
\tag{005b}
\end{align}
From (005) the Maxwell equations (001a) and (001d) are valid automatically. So the four(4) scalar Maxwell equations (001b) and (001c) must be derived from the four(4) scalar Euler-Lagrange equations (002). Moreover, it's reasonable to assume that the vector equation (001b) must be derived from (002) with respect to the components of the vector potential $\:\mathbf{A}=\left(A_{1},\:A_{2},\:A_{3}\right)\:$, while the scalar equation (001c) must be derived from (002) with respect to the scalar potential $\:\phi\:$.
From equations (005) we express the Lagrangian density (004) in terms of the potential 4-vector components $\:A_{1},\:A_{2},\:A_{3},\phi\:$ :
\begin{align}
\left\Vert\mathbf{E}\right\Vert^{2} & = \left\Vert - \boldsymbol{\nabla}\phi -\dfrac{\partial \mathbf{A}}{\partial t}\right\Vert^{2} = \left\Vert \mathbf{\dot{A}}\right\Vert^{2}+\Vert \boldsymbol{\nabla}\phi \Vert^{2}+2\left(\boldsymbol{\nabla}\phi \boldsymbol{\cdot} \mathbf{\dot{A}}\right)
\tag{006a}\\
&
\nonumber\\
\left\Vert\mathbf{B}\right\Vert^{2} & = \left\Vert\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right\Vert^{2} \equiv \sum^{k=3}_{k=1}\left[\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}-\dfrac{\partial \mathbf{A}}{\partial x_{k}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}\right]
\tag{006b}
\end{align}
The second equation in (006b), that is the identity
\begin{equation}
\left\Vert\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right\Vert^{2} \equiv \sum^{k=3}_{k=1}\left[\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}-\dfrac{\partial \mathbf{A}}{\partial x_{k}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}\right]
\tag{Id-01}
\end{equation}
is proved in 2. Identities Section.
Inserting expressions (006) in (004) the Lagrangian density is
\begin{equation}
\mathcal{L}=\underbrace{\tfrac{1}{2}\left\Vert \mathbf{\dot{A}}\right\Vert^{2}+\tfrac{1}{2}\Vert \boldsymbol{\nabla}\phi \Vert^{2}+\boldsymbol{\nabla}\phi \boldsymbol{\cdot} \mathbf{\dot{A}}}_{\tfrac{1}{2}\left\Vert - \boldsymbol{\nabla}\phi -\frac{\partial \mathbf{A}}{\partial t}\right\Vert^{2}}-\tfrac{1}{2}c^{2}\underbrace{\sum^{k=3}_{k=1}\left[\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}-\frac{\partial \mathbf{A}}{\partial x_{k}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}\right]}_{\left\Vert \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right\Vert^{2}}+\frac{1}{\epsilon_{0}}\left( -\rho \phi + \mathbf{j}\boldsymbol{\cdot} \mathbf{A}\right)
\tag{007}
\end{equation}
We rearrange the items in (007) as follows :
\begin{align}
\mathcal{L} & = \overbrace{\tfrac{1}{2}\Vert \boldsymbol{\nabla}\phi \Vert^{2}-\frac{\rho \phi}{\epsilon_{0}}+\boldsymbol{\nabla}\phi \boldsymbol{\cdot} \mathbf{\dot{A}}}^{\mathcal{L}_{\phi}=\text{with respect to }\phi}+\tfrac{1}{2}\left\Vert \mathbf{\dot{A}}\right\Vert^{2}+\tfrac{1}{2}c^{2}\sum^{k=3}_{k=1}\left[\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}-\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}\right]+\frac{\mathbf{j} \boldsymbol{\cdot} \mathbf{A}}{\epsilon_{0}}
\tag{008a}\\
\mathcal{L} & = \tfrac{1}{2}\Vert \boldsymbol{\nabla}\phi \Vert^{2}-\frac{\rho \phi}{\epsilon_{0}}+\underbrace{\boldsymbol{\nabla}\phi\boldsymbol{\cdot} \mathbf{\dot{A}}+\tfrac{1}{2}\left\Vert \mathbf{\dot{A}}\right\Vert^{2}+\tfrac{1}{2}c^{2}\sum^{k=3}_{k=1}\left[\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}-\Vert\boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}\right]+\frac{\mathbf{j}\boldsymbol{\cdot} \mathbf{A}}{\epsilon_{0}}}_{\mathcal{L}_{\mathbf{A}}=\text{with respect to }\mathbf{A}}
\tag{008b}
\end{align}
The $\:\mathcal{L}_{\phi}\:$ part of the density contains all $\:\phi$-terms and reasonably will participate alone to the derivation of the Maxwell equation (001c) from the Euler-Lagrange equation (002) with respect to $\:\eta_{4}=\phi\:$. The $\:\mathcal{L}_{\mathbf{A}}\:$ part of the density contains all $\: \mathbf{A}$-terms and reasonably will participate alone to the derivation of the Maxwell equation (001b) from the Euler-Lagrange equations (002) with respect to $\:\eta_{1},\eta_{2},\eta_{3}=A_{1},A_{1},A_{3}\:$. Note the common term $\:\boldsymbol{\nabla}\phi \boldsymbol{\cdot} \mathbf{\dot{A}}\:$ of the parts $\:\mathcal{L}_{\phi},\mathcal{L}_{\mathbf{A}}\:$.
The Euler-Lagrange equation with respect to $\:\eta_{4}=\phi\:$ is :
\begin{equation}
\dfrac{\partial }{\partial t}\overbrace{\left(\dfrac{\partial \mathcal{L}}{\partial \dot{\phi}}\right)}^{0} +\nabla \boldsymbol{\cdot}\overbrace{\left[\dfrac{\partial \mathcal{L}}{\partial \left(\boldsymbol{\nabla}\phi\right)}\right]}^{\boldsymbol{\nabla}\phi+\mathbf{\dot{A}}}-\overbrace{\frac{\partial \mathcal{L}}{\partial \phi}}^{-\frac{\rho }{\epsilon_{0}}}=0
\tag{009}
\end{equation}
or
\begin{equation}
\nabla \boldsymbol{\cdot}\underbrace{\left(-\boldsymbol{\nabla}\phi -\frac{\partial \mathbf{A}}{\partial t}\right)}_{\mathbf{E}}= \frac{\rho }{\epsilon_{0}}
\tag{010}
\end{equation}
that is Maxwell equation (001c)
\begin{equation}
\nabla \boldsymbol{\cdot}\mathbf{E} = \frac{\rho}{\epsilon_{0}}
\tag{001c}
\end{equation}
In order to derive Maxwell equation (001b) we express it with the help of equations (005) in terms of the potential 4-vector components $\:A_{1},\:A_{2},\:A_{3},\phi\:$ :
\begin{equation}
\boldsymbol{\nabla} \boldsymbol{\times} \left(\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right) =\mu_{0}\mathbf{j}+\frac{1}{c^{2}}\frac{\partial }{\partial t}\left(-\boldsymbol{\nabla}\phi -\frac{\partial \mathbf{A}}{\partial t}\right)
\tag{011}
\end{equation}
Using the identity
\begin{equation}
\boldsymbol{\nabla} \boldsymbol{\times} \left( \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right) =\boldsymbol{\nabla}\left(\nabla \boldsymbol{\cdot}\mathbf{A}\right)- \nabla^{2}\mathbf{A}
\tag{012}
\end{equation}
eq.(011) yields
\begin{equation}
\frac{1}{c^{2}}\frac{\partial^{2}\mathbf{A}}{\partial t^{2}}-\nabla^{2}\mathbf{A}+ \boldsymbol{\nabla}\left(\nabla \boldsymbol{\cdot} \mathbf{A}+\frac{1}{c^{2}}\frac{\partial \phi}{\partial t}\right) =\mu_{0}\mathbf{j}
\tag{013}
\end{equation}
The $\:k$-component of eq.(013) is expressed properly to look like a Euler-Lagrange equation as follows :
\begin{equation}
\dfrac{\partial}{\partial t}\left(\frac{\partial \mathrm{A}_{k}}{\partial t}+\frac{\partial \phi}{\partial x_{k}}\right)+\nabla \boldsymbol{\cdot} \left[c^{2}\left(\frac{\partial \mathbf{A}}{\partial x_{k}}- \boldsymbol{\nabla}\mathrm{A}_{k}\right)\right] -\frac{\mathrm{j}_{k}}{\epsilon_{0}}=0
\tag{014}
\end{equation}
It's sufficient to reach above eq. (014) from the Euler-Lagrange equation (002) with respect $\:\eta_{k}=A_{k},\:\: k=1,2,3\:$ :
\begin{equation}
\dfrac{\partial }{\partial t}\left(\dfrac{\partial \mathcal{L}}{\partial \dot{A}_{k}}\right) + \nabla \boldsymbol{\cdot}\left[\dfrac{\partial \mathcal{L}}{\partial \left(\boldsymbol{\nabla}A_{k}\right)}\right]- \frac{\partial \mathcal{L}}{\partial A_{k}}=0
\tag{015}
\end{equation}
Now
\begin{equation}
\dfrac{\partial\mathcal{L} }{\partial \dot{A}_{k}}=\dfrac{\partial }{\partial \dot{A}_{k}}\left( \boldsymbol{\nabla}\phi \boldsymbol{\cdot} \mathbf{\dot{A}}+\tfrac{1}{2}\left\Vert \mathbf{\dot{A}}\right\Vert^{2}\right)=\frac{\partial \phi}{\partial x_{k}}+\frac{\partial \mathrm{A}_{k}}{\partial t}
\tag{016a}
\end{equation}
\begin{equation}
\frac{\partial \mathcal{L}}{\partial A_{k}}=\frac{\partial }{\partial A_{k}}\left(\frac{\mathbf{j} \boldsymbol{\cdot} \mathbf{A}}{\epsilon_{0}}\right)=\frac{\mathrm{j}_{k}}{\epsilon_{0}}
\tag{016b}
\end{equation}
and
\begin{equation}
\dfrac{\partial \mathcal{L}}{\partial \left(\boldsymbol{\nabla}A_{k}\right)}=\dfrac{\partial}{\partial\left(\boldsymbol{\nabla}A_{k}\right)}\left(\tfrac{1}{2}c^{2}\sum^{k=3}_{k=1}\left[\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}-\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}\right]\right)=c^{2}\left(\frac{\partial \mathbf{A}}{\partial x_{k}}- \boldsymbol{\nabla}\mathrm{A}_{k}\right)
\tag{016c}
\end{equation}
The last equation in (016c) is valid because of the identity (Id-02) proved in 2. Identities Section :
\begin{equation}
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{k}\right)}=\dfrac{\partial}{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{k}\right)}\left(\sum^{k=3}_{k=1}\left[\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}-\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}\right]\right) =2\left( \boldsymbol{\nabla}\mathrm{A}_{k}-\frac{\partial \mathbf{A}}{\partial x_{k}}\right)
\tag{Id-02}
\end{equation}
Using the expressions of equations (016) the Euler-Lagrange equation (015) gives (014) and so Maxwell equation (001b).
2. Identities Section
If $\: \mathbf{A}= \left( \mathrm{A}_{1}, \mathrm{A}_{2}, \mathrm{A}_{3}\right) \:$ is a vector function of the cartesian coordinates $\:\left( x_{1},x_{2},x_{3}\right)\:$ then
\begin{equation}
\left\Vert\boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right\Vert^{2} \equiv \sum^{k=3}_{k=1}\left[\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}-\dfrac{\partial \mathbf{A}}{\partial x_{k}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}\right]
\tag{Id-01}
\end{equation}
and
\begin{equation}
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{k}\right)}=\dfrac{\partial}{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{k}\right)}\left(\sum^{k=3}_{k=1}\left[\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}-\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}\right]\right) =2\left( \boldsymbol{\nabla}\mathrm{A}_{k}-\frac{\partial \mathbf{A}}{\partial x_{k}}\right)
\tag{Id-02}
\end{equation}
where the functional derivative of the left hand side is defined as
\begin{equation}
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{k}\right)}\equiv \left[\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{k}}{\partial x_{1}}\right)},\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{k}}{\partial x_{2}}\right)},\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{k}}{\partial x_{3}}\right)} \right]
\tag{Id-03}
\end{equation}
Proof of equation (Id-01) :
\begin{eqnarray*}
&& \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2} =\left(\frac{\partial A_{3}}{\partial x_{2}}-\frac{\partial A_{2}}{\partial x_{3}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{3}}-\frac{\partial A_{3}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{1}}-\frac{\partial A_{1}}{\partial x_{2}}\right)^{2}\\
%----------------------------------------
&=& \left[\left(\frac{\partial A_{1}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{3}}\right)^{2}\right]+\left[\left(\frac{\partial A_{2}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{3}}\right)^{2}\right]+\left[\left(\frac{\partial A_{3}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{3}}{\partial x_{2}}\right)^{2}\right] \\
%----------------------------------------
&&-2\left[\frac{\partial A_{1}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{1}} +\frac{\partial A_{2}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{2}}+\frac{\partial A_{3}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{3}}\right]\\
%----------------------------------------
&=& \left[\left(\frac{\partial A_{1}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{3}}\right)^{2}\right] +\left[\left(\frac{\partial A_{2}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{3}}\right)^{2}\right] \\
%----------------------------------------
&&+\left[\left(\frac{\partial A_{3}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{3}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{3}}{\partial x_{3}}\right)^{2}\right] -\left[\left(\frac{\partial A_{1}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{3}}{\partial x_{3}}\right)^{2}\right]\\
%----------------------------------------
&&-2\left[\frac{\partial A_{1}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{1}}+\frac{\partial A_{2}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{2}}+\frac{\partial A_{3}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{3}}\right]\\
%----------------------------------------
&=& \Vert \boldsymbol{\nabla}\mathrm{A}_{1}\Vert^{2}+\Vert \boldsymbol{\nabla}\mathrm{A}_{2}\Vert^{2}+\Vert \boldsymbol{\nabla}\mathrm{A}_{3}\Vert^{2}-\left(\frac{\partial A_{1}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{1}}+\frac{\partial A_{2}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{2}}+ \frac{\partial A_{3}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{3}} \right)\\
%----------------------------------------
&&-\left(\frac{\partial A_{1}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{1}}+\frac{\partial A_{2}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{2}}+ \frac{\partial A_{3}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{3}} \right)-\left(\frac{\partial A_{1}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{1}}+\frac{\partial A_{2}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{2}}+ \frac{\partial A_{3}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{3}} \right)\\
%----------------------------------------
&=& \Vert \boldsymbol{\nabla}\mathrm{A}_{1}\Vert^{2}+\Vert \boldsymbol{\nabla}\mathrm{A}_{2}\Vert^{2}+\Vert \boldsymbol{\nabla}\mathrm{A}_{3}\Vert^{2}- \frac{\partial \mathbf{A}}{\partial x_{1}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{1}-\frac{\partial \mathbf{A}}{\partial x_{2}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{2}-\frac{\partial \mathbf{A}}{\partial x_{3}}\boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{3}\\
%----------------------------------------
&=&\sum^{k=3}_{k=1}\left[\Vert \boldsymbol{\nabla}\mathrm{A}_{k}\Vert^{2}-\frac{\partial \mathbf{A}}{\partial x_{k}} \boldsymbol{\cdot} \boldsymbol{\nabla}\mathrm{A}_{k}\right]
\end{eqnarray*}
Proof of equation (Id-02) :
From equation
\begin{eqnarray*}
&& \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2} =\left(\frac{\partial A_{3}}{\partial x_{2}}-\frac{\partial A_{2}}{\partial x_{3}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{3}}-\frac{\partial A_{3}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{1}}-\frac{\partial A_{1}}{\partial x_{2}}\right)^{2}\\
%----------------------------------------
&=& \left[\left(\frac{\partial A_{1}}{\partial x_{2}}\right)^{2}+\left(\frac{\partial A_{1}}{\partial x_{3}}\right)^{2}\right]+\left[\left(\frac{\partial A_{2}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{2}}{\partial x_{3}}\right)^{2}\right]+\left[\left(\frac{\partial A_{3}}{\partial x_{1}}\right)^{2}+\left(\frac{\partial A_{3}}{\partial x_{2}}\right)^{2}\right] \\
%----------------------------------------
&&-2\left[\frac{\partial A_{1}}{\partial x_{2}}\frac{\partial A_{2}}{\partial x_{1}} +\frac{\partial A_{2}}{\partial x_{3}}\frac{\partial A_{3}}{\partial x_{2}}+\frac{\partial A_{3}}{\partial x_{1}}\frac{\partial A_{1}}{\partial x_{3}}\right]
\end{eqnarray*}
we have
\begin{eqnarray*}
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{1}}\right)} &=& 0 =2\left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{1}}-\dfrac{\partial \mathrm{A}_{1}}{\partial x_{1}} \right)\\
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{2}}\right)} &=& 2\left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{2}}-\dfrac{\partial \mathrm{A}_{2}}{\partial x_{1}} \right) \\
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{3}}\right)} &=& 2\left(\dfrac{\partial \mathrm{A}_{1}}{\partial x_{3}}-\dfrac{\partial \mathrm{A}_{3}}{\partial x_{1}} \right)
\end{eqnarray*}
So
\begin{equation*}
\dfrac{\partial \left( \left|\!\left| \boldsymbol{\nabla} \boldsymbol{\times} \mathbf{A}\right|\!\right|^{2}\right) }{\partial \left(\boldsymbol{\nabla}\mathrm{A}_{1}\right)}= 2\left( \boldsymbol{\nabla}\mathrm{A}_{1}-\frac{\partial \mathbf{A}}{\partial x_{1}}\right)
\end{equation*}
proving equation (Id-02) for $\:k=1\:$ and similarly for the other two components $\:k=2,3$.