ds-project-setup
OfficialSetup and configure OpenShift AI Data Science Projects
Data & Analytics#project setup#namespace#Data Science#OpenShift AI#S3 data connection#pipeline server
AuthorRHEcosystemAppEng
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill simplifies the setup of Data Science Projects on OpenShift AI by automating namespace creation, S3 data connections, pipeline server configuration, and model serving enablement.
Core Features & Use Cases
- Namespace Setup: Automates the creation of a new namespace with proper labels and dashboard integration.
- S3 Data Connections: Adds S3-compatible data connections to the project for data storage.
- Pipeline Server Configuration: Sets up the pipeline server with external storage.
- Model Serving Enablement: Enables model serving on the project with single or multi-model serving mode.
- Use Case: Ideal for bootstrapping a complete data science project environment before deploying models or workbenches.
Quick Start
Create a Data Science Project called 'my-project' with S3 data connections and model serving enabled.
Dependency Matrix
Required Modules
rhoaiopenshift
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: ds-project-setup Download link: https://github.com/RHEcosystemAppEng/agentic-plugins/archive/main.zip#ds-project-setup Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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