Name: workbench-manage
Availability: InStock
Author: RHEcosystemAppEng

System Documentation

What problem does it solve?

This Skill automates the creation, lifecycle management, and resource configuration of Jupyter notebook workbenches on OpenShift AI, providing a streamlined process for data scientists.

Core Features & Use Cases

Create Workbenches: Automate the process of setting up new Jupyter notebooks on OpenShift AI with customizable configurations.
Lifecycle Management: Manage the lifecycle of workbenches, including starting, stopping, and deleting workbenches.
Resource Configuration: Configure workbench resources like CPU, memory, GPU, and storage based on specific requirements.
Use Case: For a data scientist needing a new workbench quickly with specific resources, this Skill automates the setup process to ensure a seamless and efficient workflow.

Quick Start

Use the 'workbench-manage' skill to create a new Jupyter notebook workbench with PyTorch image, 4 CPU cores, 16GB of memory, and 50GB of storage in the 'ml-team' namespace.

Dependency Matrix

Required Modules

openshiftrhoairesources_getresources_listresources_create_or_updateresources_deleteevents_listpods_listlist_data_science_projectslist_workbenchesget_workbenchcreate_workbenchstart_workbenchstop_workbenchdelete_workbenchget_workbench_urllist_storagecreate_storagedelete_storagelist_data_connections

Components

scriptsreferences

Please help me install this Skill: Name: workbench-manage Download link: https://github.com/RHEcosystemAppEng/agentic-plugins/archive/main.zip#workbench-manage Please download this .zip file, extract it, and install it in the .claude/skills/ directory.

workbench-manage