optimize-for-gpu vs presentation-creator
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
Create data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to "create a presentation", "build slides", "make a
Сравнение
| Параметр | optimize-for-gpu | presentation-creator |
|---|---|---|
| Скрипты | нет | нет |
| Разрешённые инструменты | любые | любые |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | — | — |
| Автор | K-Dense AI | Sentry |
| Repo | K-Dense-AI/scientific-agent-skills | getsentry/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 presentation-creator
Create data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to "create a presentation", "build slides", "make a deck", "create a data presentation", "build a Sentry presentation". Scaffolds a complete slide-based app with charts, animations, and single-file HTML output.
Ищешь другое? Все скиллы.