GitHub Actions (GA) enjoy increasing popularity in many software development projects as a means to automate repetitive software engineering tasks by enabling programmable event-driven workflows. Researchers and developers typically analyze GA at the raw data level using batch tools to mine and analyze actions, jobs, and steps within GA workflows. Although this approach is widely applicable, it ignores the specific context of the GA workflow domain. Consequently, researchers and developers do not reason directly about the domain abstractions.

We present our preliminary steps in building \tool (Explorable GitHub Action Domain Model), a moldable domain-specific tool to depict and analyze detailed GA workflow data. \tool consists of an explorable domain model of GA workflows augmented with custom, domain-specific views, and live narratives. We illustrate \tool in action using it to explore ``sticky commits'' in GitHub repositories.