Get Available Resources (Claude Skill)

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space).

Type	Claude Skill
Supplier	K-Dense Inc. (community OSS)
Availability	GA — part of the actively maintained K-Dense scientific-agent-skills collection
Pricing	Free / OSS (MIT)
Capabilities	Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool

How to install

• Claude Code / Claude.ai — Skills CLI (recommended):

  npx skills add K-Dense-AI/scientific-agent-skills
  

  Installs the K-Dense collection; enable the get-available-resources skill when prompted. Works across Claude Code, Cursor, and Codex via the Agent Skills spec (requires Node ≥ 18).

• Claude Code / Claude Desktop — manual clone:

  git clone https://github.com/K-Dense-AI/scientific-agent-skills
  cp -r scientific-agent-skills/skills/get-available-resources ~/.claude/skills/
  

  Project-scoped alternative: copy into .claude/skills/ instead of ~/.claude/skills/. The skill declares its own Python dependencies in its SKILL.md; install them (the K-Dense skills generally use uv / pip) when prompted on first use.

What it does

This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.

Primary use cases: This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space).

Notes

Distributed as a SKILL.md (plus code examples) in the K-Dense collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: MIT. The skill name to enable after install is get-available-resources.

Sources

• K-Dense-AI/scientific-agent-skills
• skills/get-available-resources/SKILL.md

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