  Automated vehicles need to be aware of the capabilities they currently
possess. Skill graphs are directed acylic graphs in which a vehicle's
capabilities and the dependencies between these capabilities are modeled. The
skills a vehicle requires depend on the behaviors the vehicle has to perform
and the operational design domain (ODD) of the vehicle. Skill graphs were
originally proposed for online monitoring of the current capabilities of an
automated vehicle. They have also been shown to be useful during other parts of
the development process, e.g. system design, system verification. Skill graph
construction is an iterative, expert-based, manual process with little to no
guidelines. This process is, thus, prone to errors and inconsistencies
especially regarding the propagation of changes in the vehicle's intended ODD
into the skill graphs. In order to circumnavigate this problem, we propose to
formalize expert knowledge regarding skill graph construction into a knowledge
base and automate the construction process. Thus, all changes in the vehicle's
ODD are reflected in the skill graphs automatically leading to a reduction in
inconsistencies and errors in the constructed skill graphs.
