get-available-resources

System resource detection scans hardware specs across macOS, Linux, and Windows to output a .claude_resources.json file. This file contains timestamps, detailed CPU, GPU, memory, and disk specs, plus recommendations for parallelism and memory strategies.

Optimize model training by running resource detection to generate strategic recommendations for parallelism, out-of-core processing, and GPU acceleration. The output report guides how to adapt data processing workflows based on detected hardware constraints.

Yes, the resource detection script supports cross-platform hardware detection across macOS, Linux, and Windows. It relies on the psutil dependency to accurately scan system specs and generate consistent computational recommendations regardless of operating system.

The best way to determine processing strategies is to run resource detection before handling large files. It analyzes available GPU backends and memory capacity, then provides practical recommendations on whether to apply GPU acceleration or out-of-core processing.

Yes, you need psutil installed as a dependency to detect system resources. The detection script uses psutil to query hardware specifications across platforms and generate the structured JSON configuration report with computational recommendations.