azureml-scaffolding
Scaffold reproducible machine learning projects on AzureML
All Skills in This Repository (1)
Pure Emerald Level IndicatorsFrequently Asked Questions
FAQPage SchemaHow to install azureml-scaffolding?▼
Run `npx skills add bepuca/azureml-scaffolding --all -g -y` in your terminal to install the skill globally for your AI agent.
How to structure an AzureML project?▼
This skill sets up a uv workspace where every unit of work is a proper Python package with its own dependencies, job YAML, and tests, all orchestrated through a single Makefile.
How to run the same ML code locally and on AzureML?▼
Use `make run pkg=<name>` locally and `make aml pkg=<name>` to submit to AzureML. One shared Dockerfile and lockfile guarantee identical environments in both places.
Does azureml-scaffolding work with Claude Code and Cursor?▼
Yes. It follows the universal SKILL.md standard, so any compatible coding agent can discover it and scaffold or adapt your project automatically.
Can I add pipelines and experiment tracking later?▼
Yes. The base scaffold stays minimal, and optional reference patterns for pipelines, datasets, experiment tracking, and linting can be added only when your project needs them.
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