Bonding analysis helps to understand the interactions between constituent atoms in materials. Theoretical frameworks for bonding analysis usually rely on density-based or quantumchemical orbital-based approaches. One of the commonly used density-based approaches is the Bader 59 analysis. Orbital-based approaches typically rely on the Mulliken 60 population analysis, from which one can further derive the Crystal Orbital Overlap Populations (COOP), the Crystal Orbital Hamilton Populations (COHP), and the Crystal Orbital Bond Index (COBI). The Local-Orbital Basis Suite Towards Electronic-Structure Reconstruction (LOBSTER) This workflow originates from a previously implemented workflow in atomate. The latter was used to produce a database for about 1500 semiconductors and insulators. The key methodological difference in the previous implementation and workflow in atomate2 is that the wave function is now computed in a two-step procedure including a self-consistent DFT run with symmetry and a non-self consistent DFT run without symmetry to speed up the computation. In addition, now an analysis of the outputs via the LobsterPy 67, 69 package is performed. Important to less experienced users of HT software, the atomate2 framework enables efficient workflow execution on one computing node with a simple submission script and only a minimal setup. Only the installation of atomate2 and the configuration of the run commands for VASP and LOBSTER are required. This significantly lowers the barrier to workflow usage in contrast to atomate. Structural optimization and static DFT runs are performed in this workflow using VASP. The automatic analysis via LobsterPy is performed for symmetrically inequivalent sites in the structure for cation-anion and all bonds. This analysis involves identifying the most relevant bonds along with coordination environments based on Integrated Crystal Orbital Hamilton Populations (ICOHPs), numerical evaluation of bonding-antibonding contributions, corresponding Crystal Orbital Hamilton Populations (COHP) plots, a JSON summary, and text description of the bonding analysis. More details about our automatic bonding analysis implementation can be found in the publications associated with LobsterPy 67, 69 and its tutorials.