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Scientific Resource Scout is a specialized tool designed to bridge the gap between AI code generation and local hardware constraints. By automatically auditing CPU cores, GPU capabilities (NVIDIA, AMD, and Apple Silicon), RAM availability, and disk space, this skill enables Claude to make informed decisions about library selection and processing strategies. Whether you are training models, processing genomics data, or running simulations, it generates a structured JSON report with specific recommendations for parallel processing (Joblib/Dask), out-of-core computing (Zarr), and hardware acceleration (CUDA/MPS), ensuring your code is optimized for your specific environment from the start.