Worked on the Pasteur-BioImage-Analysis-Course-2025 repository, focusing on enhancing documentation and data asset curation to support reproducible bioimage analysis workflows. Delivered two documentation-driven features using Markdown, including the integration of a training image asset sourced from the CellPose dataset for SAMJ analysis, which facilitates hands-on learning and pipeline reproducibility. Additionally, improved course usability by adding a direct Zenodo link to AI-Based Pipelines slides, streamlining access to supplementary materials for learners. The work emphasized clear documentation practices and asset management, with all contributions made without code changes, reflecting a targeted approach to improving educational resources and user experience.