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PyQCU 性能基准 skill：覆盖 examples/benchmark 的通用基准，以及 dev87 strict MultiGrid 对 QUDA 的可复现公平计时与显存口径。
pyqcu.cuda 目录的完整生成 skill：C++ CUDA 后端（libqcu.so）的 Cython 桥接包；含 strict QUDA-style MultiGrid、params/argv/set_ptrs 参数协议与显存生命周期约束。
cpp/cuda/qcu/include 目录的完整生成 skill：26 个模板化 CUDA 头文件（内核内联），define.h 须镜像 pyqcu/cuda/define.py。
Showing SKILL.md
| name | data |
| description | examples/data 目录的完整生成 skill：测试验证参考 HDF5 文件（with_data=True 时使用）。 |
Reference HDF5 files for test validation. Used when tests are run with with_data=True to validate against precomputed expected results.
Contains gauge fields, fermion sources, and expected operator/solver outputs for various lattice sizes.
Reference HDF5 files are gitignored (not committed). Regenerate deterministically via
logs/session-2026-08-24/gen_*_ref.py — bit-level reproducible across architectures;
solver dual-backend cross-check rel=8.6e-07. See the session-2026-08-24 skill.