Developed automated category landing and index pages for API documentation in the stanfordnlp/dspy repository, addressing 404 errors encountered on directory URLs. Extended the existing Python script to generate index.md files for each API category, preserving custom prose between defined markers. Integrated these landing pages into the mkdocs.yml configuration, ensuring seamless navigation and upward traversal within the documentation site. This work improved the overall structure, navigability, and accessibility of the API docs, reducing support friction and onboarding time for new users. Demonstrated proficiency in Python scripting, API design, and YAML-based documentation generation, delivering a targeted solution to a recurring documentation issue.