optimize-for-gpu vs vercel-react-best-practices
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
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js c
Сравнение
| Параметр | optimize-for-gpu | vercel-react-best-practices |
|---|---|---|
| Скрипты | нет | нет |
| Разрешённые инструменты | любые | любые |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | — | MIT |
| Автор | K-Dense AI | Vercel |
| Repo | K-Dense-AI/scientific-agent-skills | vercel-labs/agent-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 vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Ищешь другое? Все скиллы.