Worked on the Arize-ai/openinference repository to enhance documentation by integrating the Agent Spec Instrumentor into the homepage table and updating installation instructions to reflect a new dependency. Focused on improving the onboarding experience and supporting observability workflows, the work centered on clear, accessible documentation and precise dependency management. Leveraged Python and Markdown to ensure technical accuracy and maintain repository hygiene, consolidating guidance for open-source contributors. No bugs were addressed during this period, as the primary objective was to streamline adoption of the Instrumentor and clarify instrumentation flows for users, aligning documentation quality with the evolving needs of the project.