byjosiahsiegel· 48 skills
Azure Machine Learning Workspace and Azure AI Foundry deep dive. PROACTIVELY activate for: (1) creating and configuring Azure ML workspaces, (2) Azure AI Foundry hubs and projects, (3) ML workspace networking (managed VNet, private endpoints, DNS), (4) ML compute clusters and compute instances, (5) managed online endpoints, batch endpoints, Kubernetes endpoints, (6) managed identities for ML resources, (7) ACR integration for custom environments, (8) storage account configuration, (9) az ml CLI v2 commands, (10) PowerShell Az.MachineLearningServices, (11) reading ML compute and deployment logs, (12) GPU SKU selection (ND/NC series, H100/H200/A100). Provides: workspace setup playbook, network-isolation patterns, endpoint deployment templates, az ml CLI cheat sheet, and log diagnosis workflow.
$npx -y skills add josiahsiegel/claude-plugin-marketplace --skill azure-ml-foundry-workspaceInstalls into the current project.
Run `npx skills use "https://github.com/josiahsiegel/claude-plugin-marketplace" --skill "josiahsiegel/claude-plugin-marketplace/azure-ml-foundry-workspace"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/josiahsiegel/claude-plugin-marketplace" that are relevant to the current task. Run `npx skills add "https://github.com/josiahsiegel/claude-plugin-marketplace"` and select the relevant skills, then follow their instructions.