Detect available computational resources and generate strategic recommendations for scientific computing tasks. This skill automatically identifies CPU capabilities, GPU availability (NVIDIA CUDA, AMD ROCm, Apple Silicon Metal), memory constraints, and disk space to help make informed decisions about computational approaches.
When to Use This Skill
Use this skill proactively before any computationally intensive task:
Before data analysis
Determine if datasets can be loaded into memory or require out-of-core processing
Before model training
Check if GPU acceleration is available and which backend to use
Before parallel processing
Identify optimal number of workers for joblib, multiprocessing, or Dask
Before large file operations
Verify sufficient disk space and appropriate storage strategies
At project initialization
Understand baseline capabilities for making architectural decisions
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