Habilidades Azure Fabric Management SDK for Python
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Azure Fabric Management SDK for Python

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Generate Azure Fabric SDK Code

Writing Azure Fabric Management SDK code manually is complex and time-consuming. This skill provides AI-powered prompts that generate clean, production-ready Python code for managing Azure Fabric resources including workspaces, notebooks, lakehouses, and data pipelines.

Soporta: Claude Codex Code(CC)
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Pruébalo

Usando "Azure Fabric Management SDK for Python". Create a Fabric workspace

Resultado esperado:

  • Step 1: Set up authentication using DefaultAzureCredential
  • Step 2: Create a FabricManagementClient with your subscription
  • Step 3: Define workspace properties (name, location, capacity)
  • Step 4: Call workspace_client.workspaces.begin_create_or_update()
  • Step 5: Handle the long-running operation and check provisioning state

Usando "Azure Fabric Management SDK for Python". Generate lakehouse setup code

Resultado esperado:

  • This example shows how to create a lakehouse:
  • 1. Authenticate using DefaultAzureCredential
  • 2. Initialize FabricApiClient with your workspace endpoint
  • 3. Define lakehouse payload with name and description
  • 4. POST to /lakehouses endpoint
  • 5. The response includes lakehouse ID and OneLake paths

Auditoría de seguridad

Seguro
v1 • 2/25/2026

This is a prompt-only skill containing only SKILL.md with no executable code. Static analysis scanned 0 files (0 lines) and detected 0 security issues. Risk score is 0/100. The skill provides prompts for generating Azure Fabric SDK code - there are no scripts, network calls, filesystem access, environment variable reads, or external command executions. This is a safe, informational skill for AI-assisted code generation.

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Auditado por: claude

Puntuación de calidad

38
Arquitectura
100
Mantenibilidad
87
Contenido
50
Comunidad
100
Seguridad
83
Cumplimiento de la especificación

Lo que puedes crear

DevOps Engineer Managing Azure Infrastructure

Automate creation and management of Azure Fabric workspaces across multiple environments (dev, staging, production) using Python scripts.

Data Engineer Building Data Pipelines

Generate Python code to create and orchestrate data pipelines in Azure Fabric for ETL and data transformation workflows.

Developer Building Cloud Applications

Quickly generate Python code snippets for integrating Azure Fabric resources into custom applications without studying the full SDK documentation.

Prueba estos prompts

Create a New Fabric Workspace 
Generate Python code using Azure Fabric Management SDK to create a new Fabric workspace with the name '{workspace_name}' in resource group '{resource_group}'. Include proper error handling and authentication setup.
List All Workspaces 
Write Python code to list all Azure Fabric workspaces in a subscription using the management SDK. Include pagination handling and output formatting.
Create a Lakehouse 
Generate Python code to create an Azure Fabric lakehouse named '{lakehouse_name}' in workspace '{workspace_name}'. Include the OneLake short paths configuration.
Build a Data Pipeline 
Write Python code to create an Azure Fabric data pipeline with the following specifications: name '{pipeline_name}', description '{description}', and activities for data ingestion from '{source_path}' to '{destination_path}'.

Mejores prácticas

  • Always use managed identity or service principal for authentication in production environments instead of storing credentials in code
  • Implement proper error handling with try-except blocks and specific exception types from the Azure SDK
  • Use async versions of SDK methods (if available) for better performance in high-throughput applications

Evitar

  • Do not hardcode Azure credentials or connection strings in your source code - use environment variables or Azure Key Vault
  • Avoid making synchronous calls in tight loops - implement batching or async patterns for bulk operations
  • Do not ignore API response statuses - always check for success and handle failure cases properly

Preguntas frecuentes

What is Azure Fabric?
Azure Fabric (now Microsoft Fabric) is an analytics platform that unifies data engineering, data warehousing, real-time analytics, and business intelligence into a single product.
Do I need an Azure subscription to use this skill?
No, this skill only generates prompts that help create Python code. You will need an Azure subscription to actually run the generated code.
What authentication methods are supported?
The generated code supports Azure DefaultAzureCredential, service principal, managed identity, and Azure CLI authentication.
Can this skill manage all Azure Fabric resources?
This skill covers workspaces, notebooks, lakehouses, and pipelines. Some advanced features may require additional prompt customization.
Is the generated code production-ready?
The generated code includes error handling and follows Azure SDK best practices, but you should review and test it before deploying to production.
Which Python version is required?
The Azure Fabric Management SDK requires Python 3.8 or later. Check the SDK documentation for specific version requirements.

Detalles del desarrollador

Autor

sickn33

Licencia

MIT

Repositorio

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-mgmt-fabric-py

Ref.

main

Estructura de archivos

📄 SKILL.md