Worked on the huggingface/huggingface.js repository to implement metadata registration for the LongCat-Video-Avatar 1.5 modeling library, enhancing UI discoverability and metadata accuracy without impacting runtime performance. Focused on a metadata-only update, the work involved configuring the MODEL_LIBRARIES_UI_ELEMENTS map to include display labels and repository links, while ensuring the library remained excluded from popular filters to maintain user experience. Utilized TypeScript and front end development skills to deliver a low-risk, well-documented change that preserved application stability. The update was reviewed and co-authored collaboratively, with automated code review processes ensuring quality and adherence to project standards throughout the development cycle.