{"skill":{"slug":"s2s-forecasting-expert","displayName":"S2S Forecasting Expert (FuXi, FengWu, AIFS)","summary":"End-to-end builder for AI-based Subseasonal-to-Seasonal (S2S) forecasting systems. Generates runnable PyTorch code for FuXi-style, FengWu-style, and AIFS-ins...","tags":{"latest":"1.0.1"},"stats":{"comments":0,"downloads":637,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":2},"createdAt":1771269471136,"updatedAt":1777525187908},"latestVersion":{"version":"1.0.1","createdAt":1771269723958,"changelog":"Major update: The skill now generates full runnable code and training pipelines for S2S AI weather models.\n\n- Renamed from \"s2s-forecasting-expert\" to \"s2s-model-builder\" to reflect code generation capabilities.\n- Provides end-to-end PyTorch code for model architecture, training, inference, and evaluation.\n- Supports FuXi-style, FengWu-style, and AIFS-inspired S2S forecasting models.\n- Implements CRPS loss, probabilistic outputs, distributed training, and ERA5-style data workflows.\n- Maintains strict security: all code runs locally, with no external API calls or data transmissions.","license":null},"metadata":{"os":null,"systems":null},"owner":{"handle":"manmeet3591","userId":"s17brrzpye60ee8d701dj1f3nn83g9wa","displayName":"Manmeet Singh","image":"https://avatars.githubusercontent.com/u/8520638?v=4"},"moderation":null}