azure-ml-deployer
Deploy azure ml deployer operations. Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "azure ml deployer", "azure deployer", "deploy azure ml er". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill azure-ml-deployer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Azure Ml Deployer ## Overview This skill provides automated assistance for azure ml deployer tasks within the ML Deployment domain. ## When to Use This skill activates automatically when you: - Mention "azure ml deployer" in your request - Ask about azure ml deployer patterns or best practices - Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring
What does the azure-ml-deployer skill do?
Deploy azure ml deployer operations. Auto-activating skill for ML Deployment. Triggers on: azure ml deployer, azure ml deployer Part of the ML Deployment skill category. Use when deploying applications or services. Trigger with phrases like "azure ml deployer", "azure deployer", "deploy azure ml er". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill azure-ml-deployer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.