get-available-resources
Detects CPU, GPU, memory, and disk resources to provide data-driven recommendations for computational tasks. Outputs a JSON file with hardware specs and suggests appropriate libraries (Dask, PyTorch, etc.) based on available resources. Helps decide between parallel processing, GPU acceleration, or memory-efficient strategies before running intensive jobs.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-get-available-resources
Repository
Skill path: scientific-skills/get-available-resources
Detects CPU, GPU, memory, and disk resources to provide data-driven recommendations for computational tasks. Outputs a JSON file with hardware specs and suggests appropriate libraries (Dask, PyTorch, etc.) based on available resources. Helps decide between parallel processing, GPU acceleration, or memory-efficient strategies before running intensive jobs.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: DevOps, Data / AI.
Target audience: DevOps teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install get-available-resources into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding get-available-resources to shared team environments
- Use get-available-resources for devops workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.