Computing the derivative of a system of equations in the neighborhood of a point using implicit differentiation and the implicit function theorem

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I'm solving the following problem on an old exam in real analysis. Thus, only such methods may be used.

The system \begin{align*} \begin{cases} \sin(x+y)+\sin(y+z)+z=0 \\ \cos(x+y)+\cos(y+z)+y-2=0 \end{cases} \end{align*} is satisfied at the point $(0,0,0)$. Show that $(x,y)$ can be solved in a neighborhood of $(0,0)$ as a function of $z$ for $z$ near 0. Calling the function $f(z)$, calculate explicitly $f'(0)$.

I solved a similar problem in a similar way, but am a bit confused as how to deal with the differences here. The problem was the following.

The system \begin{align*} \begin{cases} x+y+z=6 \\ x^2+y^2+z^2=14 \end{cases} \end{align*} is satisfied at the point $(1,2,3)$. Show that $x$ and $y$ can be solved in a neighborhood of $(1,2,3)$ as a function of $z$. Calculate also $x'(3)$ and $y'(3)$, where $x$ and $y$ are regarded as functions of $z$.

My solution was the following.

Denote $F(x,y,z)=x^2+y^2+z^2-14$ and $G(x,y,z)=x+y+z-6$. The point $(1,2,3)$ is a solution to this system of equations. Let $H=(F,G)$. If \begin{align*} \frac{\partial(F,G)}{\partial(x,y)}= \begin{vmatrix} \frac{\partial f_1}{\partial x} & \frac{\partial f_1}{\partial y} \\ \frac{\partial f_2}{\partial x} & \frac{\partial f_2}{\partial y} \end{vmatrix} = \begin{vmatrix} \frac{\partial F}{\partial x} & \frac{\partial F}{\partial y} \\ \frac{\partial G}{\partial x} & \frac{\partial G}{\partial y} \end{vmatrix} = \begin{vmatrix} 2x & 2y \\ 1 & 1 \end{vmatrix} =2x-2y\neq0 \end{align*} for $(x,y,z)=(1,2,3)$. The Implicit Function Theorem now implies that there are $C^1$ functions $x(z)$ and $y(z)$ defined on the ball $B_r(1,2,3)$ that satisfy the above system with $x(z)=2$ and $y(z)=3$.

Now \begin{align*} x+y+z&=6 \\ x^2+y^2+z^2&=14 \end{align*} becomes \begin{align*} x'+y'+1&=0 \\ 2xx'+2yy'+2z&=0 \end{align*} becomes \begin{align*} x'+y'+1&=0 \\ 2x'+4y'+6&=0 \end{align*} since $(x,y,z)=(1,2,3)$. Now \begin{align*} x'&=-y'-1 \\ y'&=-x'-1 \end{align*} are used to obtain \begin{align*} 2x'+4y'+6&=2x'+4(-x'-1)+6=2x'-4x'-4+6=-2x'+2=0\Leftrightarrow x'=1 \\ 2x'+4y'+6&=2(-y'-1)+4y'+6=-2y'-2+4y'+6=2y'+4=0\Leftrightarrow y'=-2. \end{align*}

I know how to solve for a functions $x(z)$ and $y(z)$, but not for $f(z)$. This makes it hard for me to compute the derivative there implicitly as well.

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Solution. $\blacktriangleleft$ Denote the LHS of two equations respectively by $F(x,y,z), G(x,y,z)$. Then \begin{align*} & \partial_x F = \cos(x+y), & &\partial_y F = \cos(x+y) + \cos(y+z),& \\ &\partial_x G = -\sin(x+y),& &\partial_y G = -\sin(x+y) - \sin(y+z) + 1,& \end{align*} where each of these partial derivatives is continuous around $(0,0,0)$. Since $$ \det \left.\left( \frac {\partial(F,G)} {\partial (x,y)}\right)\right|_{(0,0,0)} = \begin{vmatrix} 1 & 2 \\ 0 & 1 \end{vmatrix} = 1 \neq 0, $$ the implicit function theorem could be applied to $F = 0, G= 0$, i.e. around $(0,0,0)$ there exists $\mathcal C^1$ functions $x(z), y(z)$ s.t. $F(x(z), y(z),z) = G(x(z), y(z), z) = 0 $ and $x(0) = y(0) = 0$.

Now calculate the derivatives. Take the derivative w.r.t. $z$ in the given system of equation: $$ \begin{cases} \cos(x+y) (x’ + y’) + \cos(y + z) (y’ + 1) +1 = 0 \\ -\sin(x+y)(x’+y’) - \sin(y+z) (y’ + 1) + y’ = 0 \end{cases}, $$ and let $z = 0$ we have $$ \begin{cases} x’(0) + 2y’(0) + 1 = 0\\ y’(0) = 0 \end{cases}, $$ then $x’(0) = -1, y’(0) = 0$, hence $f’(0) = [-1\;0]^{\mathsf T}$ [maybe you do not need to take the transpose, depend on your notation system]. $\blacktriangleright$