timesfm-forecasting vs vercel-react-best-practices
Сравнение двух Agent Skills бок о бок. Выбери подходящий для Claude Code или Claude Desktop.
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without t
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 | timesfm-forecasting | vercel-react-best-practices |
|---|---|---|
| Скрипты | есть | нет |
| Разрешённые инструменты | 1 | любые |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | Apache-2.0 license | MIT |
| Автор | K-Dense AI | Vercel |
| Repo | K-Dense-AI/scientific-agent-skills | vercel-labs/agent-skills |
Когда брать timesfm-forecasting
Zero-shot time series forecasting with Google's TimesFM foundation model. Use for any univariate time series (sales, sensors, energy, vitals, weather) without training a custom model. Supports CSV/DataFrame/array inputs with point forecasts and prediction intervals. Includes a preflight system checker script to verify RAM/GPU before first use.
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.