Does this skill work for regular Azure Virtual Machines?

No, this skill is specifically optimized for Data Science VMs. For standard instances, the 'azure-virtual-machines' skill should be used instead.

What is the Azure Data Science VM skill?

It is a specialized capability for Claude Code that provides expert guidance on configuring, deploying, and troubleshooting Azure DSVM environments.

What tools are covered by this skill?

It covers a wide range of preinstalled DSVM tools including JupyterHub, MLflow, deep learning frameworks (PyTorch/TensorFlow), and data ingestion utilities.

How does it handle troubleshooting for GPU issues?

The skill accesses updated documentation to diagnose driver problems, environment conflicts, and performance issues specific to DSVM hardware.

Can this skill help with infrastructure-as-code?

Yes, it includes specific support for deploying DSVMs using Bicep and ARM templates following Azure best practices.

Azure Data Science VM

Name: Azure Data Science VM
Author: atc-net

byatc-net

•

Data Science & ML

Streamlines the deployment, configuration, and troubleshooting of Azure Data Science Virtual Machines for advanced analytics and ML workflows.

The Azure Data Science VM skill provides expert-level guidance for managing specialized DSVM environments. It empowers Claude to assist with infrastructure-as-code deployments using Bicep and ARM, configure preinstalled data science tools and deep learning frameworks, and implement robust security measures via Azure Key Vault and managed identities. By leveraging Microsoft's official documentation, the skill offers precise troubleshooting for GPU drivers, Jupyter access, and connectivity issues, while also providing architecture patterns for scalable team analytics environments and MLflow experiment tracking.

Key Features

01IaC deployment assistance for Bicep and ARM templates

021 GitHub stars

03Migration support for upgrading DSVM OS versions

04Security configuration for managed identities and Key Vault

05Guidance on preinstalled ML tools and deep learning frameworks

06Comprehensive troubleshooting for GPU, Jupyter, and environment issues

Use Cases

01Integrating MLflow on DSVMs for centralized experiment and artifact tracking

02Deploying standardized DSVM instances with automated infrastructure scripts

03Setting up shared analytics pools and common identity systems for data science teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atc-net/atc-agentic-toolkit azure-data-science-vm

For use in Claude.ai and ChatGPT

Key Features

01IaC deployment assistance for Bicep and ARM templates

021 GitHub stars

03Migration support for upgrading DSVM OS versions

04Security configuration for managed identities and Key Vault

05Guidance on preinstalled ML tools and deep learning frameworks

06Comprehensive troubleshooting for GPU, Jupyter, and environment issues

Use Cases

01Integrating MLflow on DSVMs for centralized experiment and artifact tracking

02Deploying standardized DSVM instances with automated infrastructure scripts

03Setting up shared analytics pools and common identity systems for data science teams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atc-net/atc-agentic-toolkit azure-data-science-vm

For use in Claude.ai and ChatGPT