FreeSkills
Commits, branches and sync with the but CLI
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- Claude Code
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Use this resource to deploy a model or service on Azure ML
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In a terminal, from the folder you want:
npx --yes palatekit@latest install azure-ml-model-deploymentWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent follows general instructions to deploy a model on Azure ML, covering method, examples and expected output. The skill is brief and touches model serving, MLOps pipelines and monitoring, so check it against current Azure documentation.
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Updated November 2, 2026
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“Deploy our scoring model on Azure ML and prepare production monitoring.”

Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.
Listed unmodified
« azure-ml-deployer » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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