Automate SLURM job execution from sbatch generation to artifact upload.
npx skills add https://github.com/Zayne-sprague/Dr-Claude-Code --skill run-job
Please help me install this Agent Skill. Skill: run-job Source: https://github.com/Zayne-sprague/Dr-Claude-Code/tree/main/.claude/skills/run-job Command: npx skills add https://github.com/Zayne-sprague/Dr-Claude-Code --skill run-job
Automates the end-to-end lifecycle of running experimental jobs: from generating the sbatch script to submitting, monitoring, handling artifacts, resuming after failure, and reporting results.
Provide an experiment design and target cluster, and I will generate, submit, and monitor the sbatch job end-to-end.
High-intent search queries and answers about installing and using this skill.
You can automate SLURM job execution by providing an experiment design and target cluster to generate, submit, and monitor sbatch jobs end-to-end. This enforces checkpointing, logs output, uploads artifacts, and supports resume on failure.
Handling SLURM job failures involves implementing checkpointing within your sbatch scripts and monitoring job progress. You can resume experiments from checkpoints automatically upon failure, ensuring reproducible runs without losing computational progress.
Yes, sbatch scripts generated for experiment designs can be applied across SLURM, RunPod, or local compute targets. The orchestration process fulfills hard rules like writing sbatch from templates, ensuring checkpointing, and uploading artifacts regardless of the target environment.
Generating sbatch scripts from templates requires providing your experiment design and canary specifications. The system writes the sbatch script, submits the job, monitors progress, handles retries, and manages artifacts across the entire lifecycle.
SLURM job orchestration ensures reproducible experiment runs by enforcing checkpointing, logging output, and uploading artifacts. You can pause, resume, and recover from failures with checkpoints throughout the job lifecycle.
Zayne-spragueConfigure and validate SLURM, RunPod, or local clusters in RACA.
debug-zhuweijianAnalyze ML experiment results into reports, statistics, and figure catalogs.
wangdepinSubmit, monitor, resume, and report Slurm, RunPod, or local experiment jobs.
umich-foreseerGenerate Slurm sbatch scripts with partition, account, GPU, and validation directives.
