cupynumeric-install

# cuPyNumeric Install (user) ## Purpose Use this skill to install cuPyNumeric for *use* from Python and to verify the install actually works (including GPU usage). Apply it whenever a user wants cuPyNumeric running via conda or pip. Do not use it to build from source (to modify or contribute) — that is out of scope. ## Mandatory rules - **Never run installs.** Do not run `pip install`, `conda install`, or any installer. Print the command; let the user run it. - **Always isolate.** No installs into base conda, system Python, or shared global envs. - **Detect before recommending.** Read-only `--version` checks are fine. ## Prerequisites Confirm these system requirements before recommending any install: - **GPU**: Compute Capability ≥ 7.0 (Volta+). CPU-only also supported. - **CUDA**: 12.2+. - **OS**: Linux (x86_64 / aarch64), Windows via WSL. - **Python**: 3.11 through 3.14 - **conda**: ≥ 24.1 (conda path only). - **Package manager**: conda (upstream-recommended) or pip. If neither is present, bootstrap one first (see Instructions). ## Instructions Follow these steps in order: confirm the prerequisites, ask the scoping questions, install via the chosen path, then verify. ### Ask before installing 1. **Package manager?** Check `conda --version` and `pip --version`. Prefer conda (upstream-recommended); fall back to pip. 1. **Env target?** GPU machine, CPU-only laptop, cloud, container, or remote/server. 1. **CUDA version?** Ask only when forcing the GPU variant on a ho...