Azure ML Workspace / AI Foundry — complete deep-dive reference

Prerequisites: an Azure subscription with billed Machine Learning usage (compute, endpoints) — no usable free tier; Azure CLI with the ml extension (az extension add --name ml) or the Az.MachineLearningServices PowerShell module Install "Azure ML Workspace / AI Foundry — complete deep-dive reference" for me. It gives my agent @josiahsiegel's Azure ML reference: the resource hierarchy and workspace creation (CLI + PowerShell), networking with managed VNet and private endpoints, GPU SKU selection, endpoint deployment (managed online, batch, Kubernetes, serverless), managed identities and RBAC, ACR/storage integration, complete az ml CLI and PowerShell references, Terraform provisioning, and troubleshooting — with dedicated reference files per topic. MIT licensed. Repository: https://github.com/josiahsiegel/claude-plugin-marketplace/blob/main/plugins/azure-master/skills/azure-ml-foundry-workspace/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "azure-ml-foundry-workspace". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. install/upgrade the az ml extension; confirm subscription quotas for GPU SKUs; never run workspace-delete commands without reading the flags first). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.