This collection contains reusable code designed to streamline workflows for conducting cohort analyses using learning health system data. Most files are written in R, with occasional contributions in Python or other languages. The code provides foundational templates that can be customized to meet the specific needs of different study domains or research designs. While some records link to packaged versions hosted on GitHub, others are self-contained within the repository. These tools aim to promote consistency, reduce redundancy, and accelerate the development of analytic pipelines across studies using PEDSnet data.