Worked on the scverse/squidpy repository to deliver a flexible enhancement for niche calculation workflows in bioinformatics. Developed and integrated a new 'cellcharter_simple' flavor, setting the default distance parameter to three and enabling the reuse of existing embeddings from adata.obsm for dimensionality reduction. This approach improved both flexibility and performance in spatial niche analysis, while maintaining compatibility with established downstream analyses. All changes were carefully tracked for traceability and reproducibility. The work leveraged Python and scientific computing techniques, with a focus on data analysis and workflow stability, resulting in a targeted feature addition without introducing new bugs during the period.