Agent skill · DevOps & Cloud

azure-ai-ml-py

Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill azure-ai-ml-py --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/azure-ai-ml-py/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 AZURE_SUBSCRIPTION_ID=<your-subscription-id> AZURE_RESOURCE_GROUP=<your-resource-group> AZURE_ML_WORKSPACE_NAME=<your-workspace-name> ``` ## Authentication ```python from azure.ai.ml import MLClient from azure.identity import DefaultAzureCredential ml_client = MLClient( credential=DefaultAzureCredential(), subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"], resource_group_name=os.environ["AZURE_RESOURCE_GROUP"], workspace_name=os.environ["AZURE_ML_WORKSPACE_NAME"] ) ``` ### From Config File ```python from azure.ai.ml import MLClient from azure.identity import DefaultAzureCredential # Uses config.json in current directory or parent ml_client = MLClient.from_config( credential=DefaultAzureCredential() ) ``` ## Workspace Management ### Create Workspace ```python from azure.ai.ml.entities import Workspace ws = Workspace( name="my-workspace", location="eastus", display_name="My Workspace", description="ML workspace for experiments", tags={"purpose": "demo"} ) ml_client

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. From Config File
  5. Workspace Management
  6. Create Workspace
  7. List Workspaces
  8. Data Assets
  9. Register Data
  10. Register Folder
  11. Model Registry
  12. Register Model
  13. List Models
  14. Compute
Commands it runs
pip install azure-ai-ml
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About this skill
What does the azure-ai-ml-py skill do?

Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill azure-ai-ml-py --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going