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hpc-orchestration

Coordinate HPC job submission, monitoring, and recovery across Slurm, PBS, and LSF.

1|Updated Mar 11, 2026
Search Tags:#workflow#monitoring#logs#orchestration#self-healing#hpc#scheduler
One-click install
npx skills add https://github.com/SciMate-AI/scicli --skill hpc-orchestration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hpc-orchestration
Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/hpc-skills/skills/hpc-orchestration
Command: npx skills add https://github.com/SciMate-AI/scicli --skill hpc-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The HPC Orchestration skill provides a centralized, scheduler-aware control plane that coordinates job submission, monitoring, log tracking, and failure-driven recovery across multiple HPC backends, reducing manual integration gaps and drift between solver skills.

Core Features & Use Cases

  • Scheduler selection and batch script generation for Slurm, PBS, and LSF.
  • End-to-end job lifecycle: submission, progress tracking, and post-run handoff to post-processing.
  • Real-time log monitoring, divergence/convergence detection, and automated self-healing prompts.
  • Environment and storage hygiene enforcement, data staging, and reproducible deployment.
  • Cross-skill coordination to orchestrate multiple solver-specific skills in a safe, cluster-aware workflow.

Quick Start

Submit a minimal Slurm job that runs a solver and monitors its progress through the orchestration layer.

Frequently Asked Questions about hpc-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate HPC workflows across multiple schedulers like Slurm, PBS, and LSF?▼

HPC orchestration coordinates workflows across Slurm, PBS, and LSF using a centralized control plane for scheduler selection, job deployment, and execution monitoring. It reduces manual integration gaps and drift between solver skills.

What is the best way to monitor HPC job logs and detect execution divergence?▼

HPC workflow orchestration provides real-time log monitoring, divergence and convergence detection, and automated self-healing prompts. This tracks job progress continuously and triggers failure-driven recovery loops across the cluster.

Can I automate batch script generation for different HPC schedulers?▼

Yes, HPC orchestration performs scheduler selection and automated batch script generation for Slurm, PBS, and LSF. This standardizes job submission across different cluster backends within a shared orchestration layer.

How do I ensure environment hygiene and reproducible deployment for HPC jobs?▼

HPC orchestration enforces environment hygiene, staged data flow, and reproducible deployment through its shared orchestration layer. This ensures clean execution environments and safe data staging across multi-solver campaigns.

Does HPC orchestration support cross-skill coordination for multi-solver campaigns?▼

Yes, HPC orchestration coordinates multiple solver-specific skills in a safe, cluster-aware workflow. It manages the end-to-end job lifecycle from submission through progress tracking to post-run handoff for post-processing tasks.

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