by affaan-m
pytorch-patterns helps you write, review, and debug PyTorch code with device-agnostic patterns, reproducible experiments, and explicit tensor handling. Use the pytorch-patterns skill for cleaner training loops, model refactors, and practical PyTorch guidance.
by K-Dense-AI
torch-geometric skill guide for PyTorch Geometric graph neural networks. Use it for torch-geometric install help, torch-geometric usage, graph classification, node classification, link prediction, heterogeneous graphs, custom MessagePassing layers, and scaling GNNs for Machine Learning workflows.
by K-Dense-AI
optimize-for-gpu helps turn CPU-bound Python into NVIDIA GPU code with the right library choice. Use it for arrays, dataframes, ML pipelines, graph analytics, imaging, geospatial work, vector search, and custom kernels. It guides CuPy, cuDF, cuML, cuGraph, cuCIM, cuVS, KvikIO, Numba CUDA, and Warp decisions with practical optimize-for-gpu usage and migration advice.
by K-Dense-AI
pytorch-lightning skill for organizing PyTorch projects with LightningModules and Trainers. Use this pytorch-lightning guide for install, training, validation, logging, checkpointing, and distributed execution across multi-GPU or TPU workflows.
by K-Dense-AI
modal skill for Backend Development teams using Modal as a cloud runtime for Python. Learn when to use Modal for GPU workloads, autoscaling functions, web APIs, scheduled jobs, and batch pipelines, plus how to choose the right install context, read the repo, and write deployment-ready code with less boilerplate.
by K-Dense-AI
get-available-resources checks CPU, GPU, memory, and disk before heavy scientific or ML workflows. It returns a resource snapshot and practical recommendations for parallel processing, GPU acceleration, or memory-safe approaches, helping agents make better execution choices for workflow automation.
by ZhangHanDong
makepad-2.0-shaders is a Frontend Development skill for writing and debugging Makepad 2.0 shader code. Use this makepad-2.0-shaders skill for pixel: fn() and vertex: fn() blocks, Sdf2d shapes, custom widget drawing, premultiplied alpha, and practical install and usage guidance.
