get-available-resources
Category: data-science-and-ml · License: MIT · Version: 1.3 · Includes scripts
Tags: compute resources, GPU detection, resource planning, HPC
When to use it
Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.Example requests
Ask your agent in plain language, for example:- “How many CPUs and how much RAM can I actually use here?”
- “I’m about to launch a joblib parallel run of 400 scRNA-seq pseudobulk DE fits from de_fits.py inside our Slurm cluster. Last time it died with ‘Killed’ (OOM) on a node that showed 128 cores in htop. Can you work out how many workers I can safely use, keeping about 8 GiB aside for the OS and main process?”
- “I want to fine-tune a protein language model on this workstation. Before I pick a batch size and decide whether to try GPU training, can you tell me what hardware the process can really reach, including any accelerators and free disk for checkpoints?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole data-science-and-ml category with /plugin install data-science-and-ml@research-agent-skills.