jobs

A simple and elegant solution for managing your to-do lists.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/kang-jaehyun/Mac-the-researcher --skill jobs-kang-jaehyun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jobs
Source: https://github.com/kang-jaehyun/Mac-the-researcher/tree/main/.claude/skills/jobs
Command: npx skills add https://github.com/kang-jaehyun/Mac-the-researcher --skill jobs-kang-jaehyun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Managing and viewing SLURM job statuses across multiple clusters can be time-consuming and fragmented. This Skill provides a unified view of running, pending, and recent jobs to accelerate cluster monitoring and troubleshooting.

Core Features & Use Cases

  • Multi-cluster monitoring: aggregate and group jobs by cluster.
  • Status breakdown: clearly show Running, Pending, and Recent (completed/failed) jobs with key details.
  • Smart hints: highlight delays or anomalies and cross-reference with local experiments when available.

Quick Start

Run the check_queue tool to fetch current jobs across all clusters, then use recent_jobs to review the last 3 days of activity and present a clean, grouped summary.

Frequently Asked Questions about jobs

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

FAQPage Schema
How do I check SLURM job status across multiple clusters at once?▼

To check SLURM job status across multiple clusters, this Skill uses the check_queue MCP tool to fetch and aggregate current running, pending, and recent jobs into a unified, grouped summary for easy monitoring.

What is the best way to view recent SLURM jobs and queue delays?▼

Viewing recent SLURM jobs and queue delays is done by running the recent_jobs MCP tool to review the last 3 days of activity, highlighting anomalies and presenting a clean, per-cluster breakdown of completed and failed jobs.

Can I diagnose SLURM pending jobs and queue anomalies across different clusters?▼

Yes, you can diagnose SLURM pending jobs and queue anomalies across different clusters by fetching current statuses and cross-referencing them with local experiments, utilizing smart hints to highlight delays or irregularities in the queue.

Does this multi-cluster SLURM monitoring approach require any specific dependencies?▼

This multi-cluster SLURM monitoring approach requires no external dependencies, relying solely on configured MCP tools like check_queue and recent_jobs to gather and format per-cluster summaries of running, pending, and recent jobs.

Why are my SLURM jobs stuck pending and how can I monitor them?▼

SLURM jobs stuck pending can be monitored by fetching a unified view of all clusters to identify queue delays, with smart hints highlighting anomalies and grouping statuses to accelerate troubleshooting and diagnosis.