azure-ai-ml-py Skill
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets". Published by microsoft in skills.
What is azure-ai-ml-py Skill?
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets". Published by microsoft in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Security review
- Data analysis
- Security review use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use azure-ai-ml-py Skill
- Use it for security review.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/skills
- Skill file: .github/plugins/azure-sdk-python/skills/azure-ai-ml-py/SKILL.md
What it does
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
Skill instructions
Azure Machine Learning SDK v2 for Python Client library for managing Azure ML resources: workspaces, jobs, models, data, and compute. Installation bash pip install azure-ai-ml Environment Variables bash AZURESUBSCRIPTIONID=<your-subscription-id Required for all auth methods AZURERESOURCEGROUP=<your-resource-group Required for all auth methods AZUREMLWORKSPACENAME=<your-workspace-name Required for all auth methods AZURETOKENCREDENTIALS=prod Required only if DefaultAzureCredential is used in production Authentication & Lifecycle 🔑 Two rules apply to every code sample below: 1. Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation. - Local dev: DefaultAzureCredential works as-is. - Production: set AZURETOKENCREDENTIALS=prod (or AZURETOKENCREDENTIALS=<specificcredential) to constrain the credential chain t
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Frequently asked questions
What is azure-ai-ml-py?
azure-ai-ml-py is a open-source AI agent skill with Copy skill directory. Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
Who is azure-ai-ml-py best for?
azure-ai-ml-py is best for reusing agent instructions, scripts, and references, security review workflows, data analysis workflows.
How do I install azure-ai-ml-py?
Install or run azure-ai-ml-py using Copy skill directory. Check azure-ai-ml-py for the latest setup command.
Is azure-ai-ml-py actively maintained?
azure-ai-ml-py may need a closer maintenance check before production use.
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