pipeline-manage
OfficialManage Data Science Pipelines (Kubeflow Pipelines 2.0) on OpenShift AI.
Data & Analytics#data processing#pipeline management#openshift#kubeflow#rhoai#data science pipelines
AuthorRHEcosystemAppEng
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the creation, execution, and monitoring of Data Science Pipelines on OpenShift AI, enabling efficient lifecycle management without manual oversight.
Core Features & Use Cases
- Pipeline Creation and Management: Setup, submit, schedule, monitor, and delete data science pipelines.
- Integration: Seamlessly integrates with OpenShift AI and RHOAI Data Science Projects.
- Use Case: Imagine you have a complex data science pipeline with multiple steps. This Skill allows you to automate the process of running and managing the pipeline, from submission to deletion, while providing detailed monitoring and logging.
Quick Start
Use the /pipeline-manage skill to run a pipeline defined in 'pipeline.yaml'.
Dependency Matrix
Required Modules
resources_create_or_updateresources_listresources_getresources_deleteevents_listpods_listpods_loglist_data_science_projectsget_pipeline_serverdelete_pipeline_serverlist_resourcesget_resourcelist_resource_namesresource_statusdiagnose_resourcelist_data_connectionsproject_summary
Components
scriptsreferences
💻 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: pipeline-manage Download link: https://github.com/RHEcosystemAppEng/agentic-plugins/archive/main.zip#pipeline-manage Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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