azure-mgmt-fabric-py
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
About this skill
Microsoft Fabric is an end-to-end analytics platform that brings together all the data and analytics tools an organization needs. This skill provides AI agents with the ability to programmatically interact with Azure Fabric, enabling comprehensive management of its capacities, workspaces, and other resources directly from an agent's environment. Leveraging the `azure-mgmt-fabric-py` SDK, agents can automate complex administrative tasks, integrate Fabric operations into broader workflows, and dynamically respond to data analytics needs without manual intervention.
Best use case
Automating the provisioning and scaling of Microsoft Fabric capacities; Creating, updating, or deleting Fabric workspaces and items (e.g., Lakehouses, Data Warehouses); Monitoring resource usage and performance metrics for Azure Fabric; Integrating Microsoft Fabric resource management into CI/CD pipelines; Responding to prompts for setting up new data environments.
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
Successful execution of Azure Fabric management commands, leading to proper resource allocation, creation, modification, or deletion as specified by the agent's intent. Enhanced automation of data analytics infrastructure and more efficient resource utilization.
Practical example
Example input
As an Azure administrator, create a new Microsoft Fabric capacity named 'AnalyticsCapacity' in the 'East US' region with a 'F64' SKU under the resource group 'DataAnalyticsRG'. Ensure it's assigned to the subscription configured in my environment.
Example output
```json
{
"status": "success",
"message": "Microsoft Fabric capacity 'AnalyticsCapacity' created successfully.",
"capacity_id": "/subscriptions/YOUR_SUB_ID/resourceGroups/DataAnalyticsRG/providers/Microsoft.Fabric/capacities/AnalyticsCapacity",
"region": "East US",
"sku": "F64"
}
```
Alternatively, for a listing request:
```json
{
"status": "success",
"message": "Successfully retrieved Microsoft Fabric workspaces.",
"workspaces": [
{"name": "SalesDataWorkspace", "id": "<workspace-id-1>", "region": "westus"},
{"name": "MarketingCampaigns", "id": "<workspace-id-2>", "region": "eastus"}
]
}
```When to use this skill
- When an AI agent needs to directly manage Azure Fabric resources programmatically; To automate routine administrative tasks related to Microsoft Fabric; For dynamic provisioning or de-provisioning of data analytics environments; When integrating Fabric operations with other cloud services or existing data workflows.
When not to use this skill
- For tasks that do not involve Azure Fabric resource management; When simple data interaction within Fabric items (e.g., querying data in a Lakehouse) is needed, rather than managing the items themselves (unless the agent also has a skill for data plane interaction); In scenarios where manual management through the Azure portal is preferred or sufficient.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-mgmt-fabric-py/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-mgmt-fabric-py Compares
| Feature / Agent | azure-mgmt-fabric-py | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | medium | N/A |
Frequently Asked Questions
What does this skill do?
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as medium. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Azure Fabric Management SDK for Python
Manage Microsoft Fabric capacities and resources programmatically.
## Installation
```bash
pip install azure-mgmt-fabric
pip install azure-identity
```
## Environment Variables
```bash
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>
```
## Authentication
```python
from azure.identity import DefaultAzureCredential
from azure.mgmt.fabric import FabricMgmtClient
import os
credential = DefaultAzureCredential()
client = FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
```
## Create Fabric Capacity
```python
from azure.mgmt.fabric import FabricMgmtClient
from azure.mgmt.fabric.models import FabricCapacity, FabricCapacityProperties, CapacitySku
from azure.identity import DefaultAzureCredential
import os
credential = DefaultAzureCredential()
client = FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
capacity_name = "myfabriccapacity"
capacity = client.fabric_capacities.begin_create_or_update(
resource_group_name=resource_group,
capacity_name=capacity_name,
resource=FabricCapacity(
location="eastus",
sku=CapacitySku(
name="F2", # Fabric SKU
tier="Fabric"
),
properties=FabricCapacityProperties(
administration=FabricCapacityAdministration(
members=["user@contoso.com"]
)
)
)
).result()
print(f"Capacity created: {capacity.name}")
```
## Get Capacity Details
```python
capacity = client.fabric_capacities.get(
resource_group_name=resource_group,
capacity_name=capacity_name
)
print(f"Capacity: {capacity.name}")
print(f"SKU: {capacity.sku.name}")
print(f"State: {capacity.properties.state}")
print(f"Location: {capacity.location}")
```
## List Capacities in Resource Group
```python
capacities = client.fabric_capacities.list_by_resource_group(
resource_group_name=resource_group
)
for capacity in capacities:
print(f"Capacity: {capacity.name} - SKU: {capacity.sku.name}")
```
## List All Capacities in Subscription
```python
all_capacities = client.fabric_capacities.list_by_subscription()
for capacity in all_capacities:
print(f"Capacity: {capacity.name} in {capacity.location}")
```
## Update Capacity
```python
from azure.mgmt.fabric.models import FabricCapacityUpdate, CapacitySku
updated = client.fabric_capacities.begin_update(
resource_group_name=resource_group,
capacity_name=capacity_name,
properties=FabricCapacityUpdate(
sku=CapacitySku(
name="F4", # Scale up
tier="Fabric"
),
tags={"environment": "production"}
)
).result()
print(f"Updated SKU: {updated.sku.name}")
```
## Suspend Capacity
Pause capacity to stop billing:
```python
client.fabric_capacities.begin_suspend(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity suspended")
```
## Resume Capacity
Resume a paused capacity:
```python
client.fabric_capacities.begin_resume(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity resumed")
```
## Delete Capacity
```python
client.fabric_capacities.begin_delete(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity deleted")
```
## Check Name Availability
```python
from azure.mgmt.fabric.models import CheckNameAvailabilityRequest
result = client.fabric_capacities.check_name_availability(
location="eastus",
body=CheckNameAvailabilityRequest(
name="my-new-capacity",
type="Microsoft.Fabric/capacities"
)
)
if result.name_available:
print("Name is available")
else:
print(f"Name not available: {result.reason}")
```
## List Available SKUs
```python
skus = client.fabric_capacities.list_skus(
resource_group_name=resource_group,
capacity_name=capacity_name
)
for sku in skus:
print(f"SKU: {sku.name} - Tier: {sku.tier}")
```
## Client Operations
| Operation | Method |
|-----------|--------|
| `client.fabric_capacities` | Capacity CRUD operations |
| `client.operations` | List available operations |
## Fabric SKUs
| SKU | Description | CUs |
|-----|-------------|-----|
| `F2` | Entry level | 2 Capacity Units |
| `F4` | Small | 4 Capacity Units |
| `F8` | Medium | 8 Capacity Units |
| `F16` | Large | 16 Capacity Units |
| `F32` | X-Large | 32 Capacity Units |
| `F64` | 2X-Large | 64 Capacity Units |
| `F128` | 4X-Large | 128 Capacity Units |
| `F256` | 8X-Large | 256 Capacity Units |
| `F512` | 16X-Large | 512 Capacity Units |
| `F1024` | 32X-Large | 1024 Capacity Units |
| `F2048` | 64X-Large | 2048 Capacity Units |
## Capacity States
| State | Description |
|-------|-------------|
| `Active` | Capacity is running |
| `Paused` | Capacity is suspended (no billing) |
| `Provisioning` | Being created |
| `Updating` | Being modified |
| `Deleting` | Being removed |
| `Failed` | Operation failed |
## Long-Running Operations
All mutating operations are long-running (LRO). Use `.result()` to wait:
```python
# Synchronous wait
capacity = client.fabric_capacities.begin_create_or_update(...).result()
# Or poll manually
poller = client.fabric_capacities.begin_create_or_update(...)
while not poller.done():
print(f"Status: {poller.status()}")
time.sleep(5)
capacity = poller.result()
```
## Best Practices
1. **Use DefaultAzureCredential** for authentication
2. **Suspend unused capacities** to reduce costs
3. **Start with smaller SKUs** and scale up as needed
4. **Use tags** for cost tracking and organization
5. **Check name availability** before creating capacities
6. **Handle LRO properly** — don't assume immediate completion
7. **Set up capacity admins** — specify users who can manage workspaces
8. **Monitor capacity usage** via Azure Monitor metrics
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.Related Skills
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