AscendC Operator Development (All-in-One)

This skill drives a new AscendC custom operator from a spec to a production-ready, benchmarked operator inside an ascend-kernel project (a PyTorch custom-op project that exposes operators as torch.ops.npu.<op> via csrc/ops/, csrc/register.cpp, and build.sh). It is self-contained: every phase, template, and reference lives under this skill directory.

Scope note: this skill targets the ascend-kernel / csrc/ops PyTorch custom-op workflow (vector / row / index / sort / pool operators, FP16/BF16 up-cast, two-level tiling). It is not for the ops-transformer aclnn/genop flow.

How to use this skill