Daniel Thom developed and integrated the TorC package for distributed workflow orchestration within the conda-forge/staged-recipes repository. His work focused on enabling scalable and reliable pipeline execution across multiple compute nodes, reducing manual orchestration and improving reproducibility for complex recipe workflows. Daniel utilized C and Rust to implement the package, addressing dependency management and recipe configuration through updates to YAML files. He contributed the initial integration, added required dependencies such as those for openssl-sys, and introduced the SQLX_OFFLINE flag. The depth of his contribution lies in enhancing workflow automation and maintainability for the conda-forge ecosystem during the project period.