Publication-ready NN-architecture schematics.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

Use when user wants to create a full slide deck or presentation using PaperBanana image generation, OR modify/regenerate an existing PaperBanana slide deck, OR build an editable PPTX with native text/tables/charts. Triggers on "make slides", "create presentation", "PPT", "slide deck", "regenerate slides", "update slides", "paperbanana slides", "editable PPTX", "editable slides". Also triggers when user has an existing slide-deck directory with outline.md and wants to regenerate images or make changes. This is the PRIMARY slide deck skill — always prefer over baoyu-slide-deck.

[CVPR'20] SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans