
R. Schridi developed custom iconography for the EVSEMaster integration within the home-assistant/brands repository, focusing on enhancing the Home Assistant UI’s visual clarity. The work involved designing SVG-based icons and integrating them into the existing icon framework, ensuring consistent rendering and adherence to branding guidelines. By tying the assets directly to the integration entry point and aligning with the repository’s PR workflow, R. Schridi improved maintainability and streamlined future updates. The project demonstrated skills in UI design, front end development, and asset management, delivering a targeted feature that addressed the need for clearer component recognition across Home Assistant dashboards.
February 2026 monthly summary for home-assistant/brands. Key feature delivered: EVSEMaster Integration Iconography, introducing custom icons for the EVSEMaster integration within the Home Assistant UI, improving visual clarity and user experience. The work was executed with a focused asset integration following the repository's branding guidelines and existing icon framework, enabling quicker recognition of EVSEMaster components across dashboards. Strengthened maintainability by tying the assets to the integration entry point and PR workflow. Technologies/skills demonstrated include UI/icon design, asset management, integration patterns, and GitHub-based collaboration.
February 2026 monthly summary for home-assistant/brands. Key feature delivered: EVSEMaster Integration Iconography, introducing custom icons for the EVSEMaster integration within the Home Assistant UI, improving visual clarity and user experience. The work was executed with a focused asset integration following the repository's branding guidelines and existing icon framework, enabling quicker recognition of EVSEMaster components across dashboards. Strengthened maintainability by tying the assets to the integration entry point and PR workflow. Technologies/skills demonstrated include UI/icon design, asset management, integration patterns, and GitHub-based collaboration.

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