detect_resources
Detects available compute resources including CPU, GPU, memory, and disk space. Outputs a JSON file that Claude Code can use to make informed decisions about computational approaches (e.g., whether to use Dask, Zarr, Joblib, etc.).
- Skills
- Scientific
- 1
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/detect-resources && curl -fsSL https://doutorai.pt/data/lib/skills__detect-resources.md -o .claude/skills/detect-resources/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
#!/usr/bin/env python3
"""
System Resource Detection Script
Detects available compute resources including CPU, GPU, memory, and disk space.
Outputs a JSON file that Claude Code can use to make informed decisions about
computational approaches (e.g., whether to use Dask, Zarr, Joblib, etc.).
Supports: macOS, Linux, Windows
GPU Detection: NVIDIA (CUDA), AMD (ROCm), Apple Silicon (Metal)
"""
import json
import os
import platform
import psutil
import subprocess
import sys
from pathlib import Path
from typing import Dict, List, Any, Optional
def get_cpu_info() -> Dict[str, Any]:
"""Detect
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