What is slurm?
Submit, manage, and monitor GPU workloads on SRP's Slurm clusters with Apptainer containers Source: serendipityoneinc/srp-claude-code-marketplace.
Submit, manage, and monitor GPU workloads on SRP's Slurm clusters with Apptainer containers
Quickly install slurm AI skill to your development environment via command line
Source: serendipityoneinc/srp-claude-code-marketplace.
Help developers submit, manage, and troubleshoot GPU-accelerated workloads on SRP's Slurm clusters. Supports training, inference, and data processing jobs using Apptainer containers.
GPU Type: H100 Partition: h100 (must specify in job scripts) Use Cases: Large model training, high-performance inference
GPU Type: H200 Partition: Specify in job scripts Use Cases: Latest GPU workloads, large-scale training
Submit, manage, and monitor GPU workloads on SRP's Slurm clusters with Apptainer containers Source: serendipityoneinc/srp-claude-code-marketplace.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/serendipityoneinc/srp-claude-code-marketplace --skill slurmBrowse more skills from serendipityoneinc/srp-claude-code-marketplace
Submit, manage, and monitor GPU workloads on SRP's Slurm clusters with Apptainer containers Source: serendipityoneinc/srp-claude-code-marketplace.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/serendipityoneinc/srp-claude-code-marketplace --skill slurm Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/serendipityoneinc/srp-claude-code-marketplace