Official NVIDIA skill that routes you to the right PhysicsNeMo model, datapipe, or example for scientific ML tasks like surrogates, forecasting, and physics-informed learning. It searches the live repo every time instead of relying on hardcoded paths, so it won't point you to renamed classes or moved examples. Treats PhysicsNeMo as a composable framework (model family × datapipe × training strategy) and shows you multiple options along each axis rather than picking one for you. Strictly for discovery and navigation. It will not write training code, handle installation, or answer questions outside the SciML/AI4Science domain. If your task is reinforcement learning or generic computer vision, it abstains rather than guessing.
npx -y skills add nvidia/skills --skill physicsnemo-discover --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills