skills.rest
Yezez9
Yezez9COMMUNITY
Explore all skills by this author →
GitHub

get-available-resources

Detect CPU, GPU, memory, and disk resources using psutil and platform modules.

Updated Mar 10, 2026
Search Tags:#performance#optimization#resources#gpu#computational#system info
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill get-available-resources-yezez9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: get-available-resources
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/get-available-resources
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill get-available-resources-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires psutil, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of inefficient computation by providing clear insights into available system resources, enabling smarter decisions about how to run scientific tasks.

Core Features & Use Cases

  • Resource Detection: Automatically identifies CPU cores, GPU availability (NVIDIA, AMD, Apple Silicon), memory, and disk space.
  • Strategic Recommendations: Generates actionable advice on using parallel processing, memory-efficient strategies, and GPU acceleration.
  • Use Case: Before processing a large genomics dataset, use this skill to determine if Dask or out-of-core processing is necessary, or if GPU acceleration can be leveraged for faster analysis.

Quick Start

Run the script to detect system resources and save the information to a JSON file.

Frequently Asked Questions about get-available-resources

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check available system resources for optimizing computational performance?▼

System resource detection scripts identify CPU cores, GPU availability, memory, and disk space to guide computational performance optimization strategies and avoid inefficient resource allocation.

What is the best way to determine if my system supports GPU acceleration for data processing?▼

System introspection scripts detect NVIDIA, AMD, and Apple Silicon GPUs, generating strategic recommendations on whether GPU acceleration is viable for your specific data processing tasks.

Does this resource detection script require psutil to check CPU and memory?▼

Yes, the resource detection script requires the psutil Python library alongside built-in platform modules to perform comprehensive system introspection and accurately report available CPU and memory.

How do I know if I need parallel processing or out-of-core memory management for large datasets?▼

By detecting total system memory and CPU cores, the script generates strategic recommendations indicating whether to use parallel processing, memory-efficient strategies, or out-of-core processing for large datasets.

Can I use this to detect Apple Silicon GPUs for computational optimization?▼

Yes, the system resource detection script supports Apple Silicon GPUs, automatically identifying their availability alongside NVIDIA and AMD hardware to provide comprehensive GPU acceleration recommendations.

Related Skills

Explore More Education & Research Skills→
Fandhe-AIFandhe-AI
1

comment-code

Generates JSDoc-style documentation for Python source files using introspection and dependency analysis.

Official
Intermediate
sagunkayasthasagunkayastha

get-available-resources

Detect CPU, GPU, memory, and disk resources across macOS, Linux, and Windows.

Community
Intermediate
SciMate-AISciMate-AI
1

get-available-resources

Detect and summarize CPU, GPU, memory, and disk resources into a JSON report.

Official
Advanced
dralkhdralkh
74

get-available-resources

Detect CPU, GPU, memory, disk, and OS resources and generate a machine-readable profile.

Community
Intermediate