关于
This skill proactively assesses a system's CPU, GPU, memory, and disk availability to inform architecture decisions before starting resource-heavy operations. By generating a detailed JSON report and tailored recommendations, it helps AI agents and developers choose the most efficient processing strategy—such as selecting between parallel processing libraries like Dask and joblib, or determining when to leverage GPU acceleration via CUDA, ROCm, or Apple Silicon Metal. It ensures that large-scale data analysis, model training, and simulations are executed within the constraints of the local environment to prevent crashes and optimize performance.
