Noah enhanced the PriorLabs/tabpfn-extensions repository by delivering targeted improvements to the TabPFN README, focusing on usability and inference performance. He introduced a detailed KV Cache example and clarified the workflow to guide users through model building and extension selection based on data and hardware requirements. Using his skills in documentation, technical writing, and workflow design, Noah provided actionable guidance on caching concepts to help users achieve faster and more predictable inference. The work, implemented in Mermaid and supported by clear technical explanations, reduced onboarding time and enabled smoother deployment, reflecting a thoughtful approach to performance-oriented documentation and user enablement.