The Tidyomics ecosystem facilitates the manipulation of computational omics data structures by bringing the intuitive and consistent syntax of the tidy paradigm to R. During the EuroBioc2026 Tidyomics Hackathon, five bioinformatics researchers collaborated to strengthen this ecosystem across four areas. First, we introduce tidyAnnData, a new package that expands interoperability between the tidyverse and AnnData objects. Second, we updated and harmonized the accessibility of information across the core packages that form the current Tidyomics backbone. Third, we improved the stability of core packages by resolving critical bugs through targeted pull requests and implementing functional enhancements to the DFplyr and tidybulk packages. Fourth, we enhanced the documentation by producing a comprehensive and stable vignette for tidySingleCellExperiment covering typical single-cell analysis workflows. Together, these contributions lower the barrier to entry for new users, promote reproducibility, and support the continued transition from disparate scripts toward robust, unified omics workflows driven by community development.