sue-lumi-env-diagnose
CommunityQuickly resolve LUMI ML experiment environment failures.
Authordongzhuoyao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill eliminates the downtime caused by LUMI supercomputer environment failures that block DeepResearch ML/HPC scale-up experiment dryrun and fullrun jobs, removing the guesswork from troubleshooting Python, container, ROCm, and module loading issues.
Core Features & Use Cases
- LUMI Environment Diagnosis: Identifies root causes of Slurm job failures including Singularity/Apptainer container errors, ROCm GPU visibility issues, Python import errors, and MIOpen cache lock conflicts.
- Targeted Fix Guidance: Provides step-by-step remediation for common LUMI-specific anti-patterns like incorrect module loads, wrong GPU binding variables, and Lustre file system conflicts.
- Use Case: When a SUE dryrun job on LUMI fails with a ROCm import error, this skill pinpoints the missing Cray environment module or incorrect ROCR_VISIBLE_DEVICES setting and provides the exact fix to get the job passing the readiness gate.
Quick Start
Use the sue-lumi-env-diagnose skill to identify and resolve the environment failure blocking your failing LUMI Slurm dryrun or fullrun job.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sue-lumi-env-diagnose Download link: https://github.com/dongzhuoyao/deepresearch/archive/main.zip#sue-lumi-env-diagnose Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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