optimize-for-gpu vs XLSX
Сравнение двух Agent Skills бок о бок. Выбери подходящий для Claude Code или Claude Desktop.
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mention
Сравнение
| Параметр | optimize-for-gpu | XLSX |
|---|---|---|
| Скрипты | нет | есть |
| Разрешённые инструменты | любые | 3 |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | — | MIT |
| Автор | K-Dense AI | Anthropic |
| Repo | K-Dense-AI/scientific-agent-skills | anthropics/skills |
Когда брать optimize-for-gpu
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. Covers physics simulation, differentiable rendering, mesh ray casting, particle systems (DEM/SPH/fluids), vector/similarity search, GPUDirect Storage file IO, interactive dashboards, geospatial analysis, medical imaging, and sparse eigensolvers. Also use when you see CPU-bound Python code (loops, large arrays, ML pipelines, graph analytics, image processing) that would benefit from GPU acceleration, even if not explicitly requested.
Когда брать XLSX
Work with Excel (.xlsx) spreadsheets: read data, compute formulas, build sheets with formatting and charts, and export analysis as real workbooks.
Ищешь другое? Все скиллы.