Developed and released the FracSim Genome Similarity Estimator for bacteria, delivering a new feature to the bioconda/bioconda-recipes repository. This tool leverages the FracMinHash algorithm to enable rapid and scalable genome similarity assessments, supporting large bacterial datasets within Conda-based bioinformatics workflows. The work focused on Python development and package management, with YAML used for configuration and packaging updates. By aligning with Bioconda standards, the release improved reproducibility and documentation, facilitating consistent research environments. The contribution included co-authorship collaboration and addressed the need for efficient, reproducible genome similarity estimation, enhancing downstream analysis throughput for the bioinformatics community.