Prashant Sankhla developed comprehensive developer documentation for the oracle-samples/oci-data-science-ai-samples repository, focusing on the AI Quick Actions Time Series Forecasting feature. He detailed deployment workflows, request and response payload structures, and provided practical examples for both single and multi-time series forecasting scenarios. Using Markdown and leveraging his expertise in AI/ML and time series forecasting, Prashant addressed common onboarding challenges by clarifying model context, data handling, and hardware requirements. His work enabled faster adoption and reduced support needs by offering clear, self-service guidance. The documentation demonstrated depth by covering both technical implementation details and frequently asked developer questions.