azure-mgmt-fabric-py
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources. Triggers: "azure-mgmt-fabric", "FabricMgmtClient", "Fabric capacity", "Microsoft Fabric", "Power BI capacity".
Install / Use
npx skills add microsoft/skills --skill azure-mgmt-fabric-pyInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of azure-mgmt-fabric-py
azure-mgmt-fabric-py scores 93/100 on our quality scale, 563rd of 3,481 Development & Engineering skills we index (top 17%).
Its SKILL.md is 8.7 KB long, well organised into 26 sections with 14 code examples: a thorough specification that gives an agent plenty to work with.
With 3,051 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so azure-mgmt-fabric-py is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
azure-mgmt-fabric-py compared with similar skills
All 4 of these similar skills score higher than azure-mgmt-fabric-py; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| azure-mgmt-fabric-py (this skill)by microsoft | 93 | 3.1k | 5d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 86.1k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 44.4k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install azure-mgmt-fabric-py?
- Run
npx skills add microsoft/skills --skill azure-mgmt-fabric-py. The install tabs above show the steps for each supported agent. - Which AI agents does azure-mgmt-fabric-py work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is azure-mgmt-fabric-py safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is azure-mgmt-fabric-py still maintained?
- The repository was last updated 5 days ago, so azure-mgmt-fabric-py is actively maintained.
Skill content
View source on GitHubname: azure-mgmt-fabric-py description: |- Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources. Triggers: "azure-mgmt-fabric", "FabricMgmtClient", "Fabric capacity", "Microsoft Fabric", "Power BI capacity". license: MIT metadata: author: Microsoft version: "1.0.0"
Azure Fabric Management SDK for Python
Manage Microsoft Fabric capacities and resources programmatically.
Installation
pip install azure-mgmt-fabric
pip install azure-identity
Environment Variables
AZURE_SUBSCRIPTION_ID=<your-subscription-id> # Required for all auth methods
AZURE_RESOURCE_GROUP=<your-resource-group> # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
Authentication & Lifecycle
🔑 Two rules apply to every code sample below:
- 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:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.fabric import FabricMgmtClient
import os
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
with FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
# Use `client` for all subsequent operations (see examples below)
...
Create Fabric Capacity
from azure.mgmt.fabric import FabricMgmtClient
from azure.mgmt.fabric.models import FabricCapacity, FabricCapacityProperties, CapacitySku
from azure.identity import DefaultAzureCredential
import os
resource_group = os.environ["AZURE_RESOURCE_GROUP"]
capacity_name = "myfabriccapacity"
credential = DefaultAzureCredential()
with FabricMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
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
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
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
all_capacities = client.fabric_capacities.list_by_subscription()
for capacity in all_capacities:
print(f"Capacity: {capacity.name} in {capacity.location}")
Update Capacity
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:
client.fabric_capacities.begin_suspend(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity suspended")
Resume Capacity
Resume a paused capacity:
client.fabric_capacities.begin_resume(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity resumed")
Delete Capacity
client.fabric_capacities.begin_delete(
resource_group_name=resource_group,
capacity_name=capacity_name
).result()
print("Capacity deleted")
Check Name Availability
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
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:
# 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
- Pick sync OR async and stay consistent. Do not mix
azure.xxxsync clients withazure.xxx.aioasync clients in the same call path. Choose one mode per module. - Always use context managers for clients and async credentials. Wrap every client in
with Client(...) as client:(sync) orasync with Client(...) as client:(async). For asyncDefaultAzureCredentialfromazure.identity.aio, also useasync with credential:so tokens and transports are cleaned up. - Use
DefaultAzureCredentialfor code that runs locally. Use a specific token credential for code that runs in Azure. - Suspend unused capacities to reduce costs
- Start with smaller SKUs and scale up as needed
- Use tags for cost tracking and organization
- Check name availability before creating capacities
- Handle LRO properly — don't assume immediate completion
- Set up capacity admins — specify users who can manage workspaces
- Monitor capacity usage via Azure Monitor metrics
Reference Files
| File | Contents | |------|----------| | references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. | | references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
