During August 2025, Skarlage focused on stabilizing multimedia processing in the pytorch/vision repository by addressing a runtime error affecting audio sampling when integrating torchvision with OpenCV. Using C++ and leveraging expertise in library integration and version management, Skarlage delivered a targeted bug fix that correctly initialized the FFmpeg swrContext, resolving compatibility conflicts across different OpenCV releases. This work restored reliable audio sampling in multimedia pipelines, reducing user disruption and support requests. The solution demonstrated a deep understanding of cross-library interoperability and careful attention to version-compatibility strategies, resulting in smoother downstream workflows for vision and audio data processing within the project.