Files
Ares 4a5f1234bb fix: harden registry tooling, make tests hermetic, and restore metadata consistency (#168)
* chore: upgrade maintenance scripts to robust PyYAML parsing

- Replaces fragile regex frontmatter parsing with PyYAML/yaml library
- Ensures multi-line descriptions and complex characters are handled safely
- Normalizes quoting and field ordering across all maintenance scripts
- Updates validator to strictly enforce description quality

* fix: restore and refine truncated skill descriptions

- Recovered 223+ truncated descriptions from git history (6.5.0 regression)
- Refined long descriptions into concise, complete sentences (<200 chars)
- Added missing descriptions for brainstorming and orchestration skills
- Manually fixed imagen skill description
- Resolved dangling links in competitor-alternatives skill

* chore: sync generated registry files and document fixes

- Regenerated skills index with normalized forward-slash paths
- Updated README and CATALOG to reflect restored descriptions
- Documented restoration and script improvements in CHANGELOG.md

* fix: restore missing skill and align metadata for full 955 count

- Renamed SKILL.MD to SKILL.md in andruia-skill-smith to ensure indexing
- Fixed risk level and missing section in andruia-skill-smith
- Synchronized all registry files for final 955 skill count

* chore(scripts): add cross-platform runners and hermetic test orchestration

* fix(scripts): harden utf-8 output and clone target writeability

* fix(skills): add missing date metadata for strict validation

* chore(index): sync generated metadata dates

* fix(catalog): normalize skill paths to prevent CI drift

* chore: sync generated registry files

* fix: enforce LF line endings for generated registry files
2026-03-01 09:38:25 +01:00

6.2 KiB

name, description, risk, source, date_added
name description risk source date_added
azure-mgmt-fabric-py Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources. unknown community 2026-02-27

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>
AZURE_RESOURCE_GROUP=<your-resource-group>

Authentication

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

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

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

  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.