Initial project scaffold

tasks/00_env_sanity/checklist.md

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+# Environment Checklist
+
+- PyTorch imports successfully
+- `torch.cuda.is_available()` is `True`
+- At least one CUDA device is visible
+- The GPU name matches the machine you expect to be using
+- Device capability is printed and recorded
+- Triton imports successfully, or you know why it does not
+- `torch.version.cuda` is visible when using CUDA-enabled PyTorch
+- `nvcc --version` works if you plan to build the CUDA extension
+- `nvidia-smi` works if the driver stack is installed
+
+If any line above fails, fix that before working on later tasks.