Developed and released the manc_cojo tool for the bioconda/bioconda-recipes repository, enabling multi-ancestry conditional and joint analysis of GWAS summary statistics. The work focused on improving cross-population signal detection by providing a single, streamlined solution for researchers working with diverse genetic datasets. Leveraging C++ for core development and utilizing bash and yaml for build automation and software packaging, the project emphasized maintainable release processes and clear collaboration through explicit commit messages and co-authorship. The contribution strengthened repository hygiene and ensured high release quality, addressing the needs of the bioinformatics community for robust, reproducible GWAS analysis workflows.