AI & Machine Learning
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This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
- Publisher / source
- davila7/claude-code-templates (found on skills.sh)
- Upstream record
- davila7/claude-code-templates
- Version
- Version 3
- Published
- Publication review
- Approved for publication
- Content fingerprint
172f6796f138dfda90069b2122d6829ac6b456c6921271ee3ca8bfb5a3e657c3