azureml-scaffolding
bykilo-org· 59 skills
Scaffold, structure, and manage AI/ML projects that run on AzureML. Covers project initialization (uv workspaces, devcontainers, Makefile), Python packaging with explicit dependencies, local and cloud execution, experiment reproducibility, and extensibility patterns (pipelines, datasets, linting). Use this skill whenever the user asks to create, modify, run, test, or deploy an AzureML-based ML project — or when they need guidance on project layout, dependency management, or cloud job submission with Azure Machine Learning.
How to install azureml-scaffolding?
kilo-org/kilo-marketplace/azureml-scaffolding
$npx -y skills add kilo-org/kilo-marketplace --skill azureml-scaffoldingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kilo-org/kilo-marketplace" --skill "kilo-org/kilo-marketplace/azureml-scaffolding"` 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/kilo-org/kilo-marketplace" that are relevant to the current task. Run `npx skills add "https://github.com/kilo-org/kilo-marketplace"` and select the relevant skills, then follow their instructions.
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