Agent skill · security · aiskillstore
azure-ai-ml-py
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.
Why this skill is useful
Adds executable scripts for managing Azure ML resources, including workspace creation, model registration, and job management that are not commonly found in public documentation.
What it needs
Requires azure-ai-ml installed locally. Requires azure account access. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Azure Machine Learning SDK v2 for Python Client library for managing Azure ML resources: workspaces, jobs, models, data, and compute. Installation Environment Variables Authentication From Config File Workspace Management Create Workspace List Workspaces Data Assets Register Data Register Folder Model Registry Register Model List Models Compute Create Compute Cluster List Compute Jobs Command Job Monitor Job Pipelines Environments Create Custom Environment Datastores List Datastores Get Default Datastore MLClient Operations Property Operations ---------- ------------ workspaces create, get, list, delete jobs createorupdate, get, list, stream, cancel models createorupdate, get, list, archive data createorupdate, get, list compute begincreateorupdate, get, list, delete environments createorupdate, get, list datastores createorupdate, get, list, getdefault components createorupdate, get, list Best Practices 1. Use versioning for data, models, and environments 2. Configure idle scale-down to reduce compute costs 3. Use environments for reproducible training 4. Stream job logs to monitor progress 5. Register models after successful training jobs 6. Use pipelines for multi-step workflows 7. Tag resources for organization and cost tracking When to Use This skill is applicable to execute the workflow or actions described in the overview. Limitations Use this skill only when the task clearly matches the scope described above. Do not treat the output as a substitute for environment-specific validation, testing, or expert review. Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/azure-ai-ml-py