skills/codex/azure-storage-file-share-py/SKILL.md
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: azure-storage-file-share-py description: "Azure Storage File Share SDK for Python" --- # Azure Storage File Share SDK for Python Manage SMB file shares for cloud-native and lift-and-shift scenarios. ## Installation ```bash pip install azure-storage-file-share ``` ## Environment Variables ```bash AZURE_STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...;AccountKey=... # Or AZURE_STORAGE_ACCOUNT_URL=http
npx skillsauth add frank-luongt/faos-skills-marketplace skills/codex/azure-storage-file-share-pyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Manage SMB file shares for cloud-native and lift-and-shift scenarios.
pip install azure-storage-file-share
AZURE_STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...;AccountKey=...
# Or
AZURE_STORAGE_ACCOUNT_URL=https://<account>.file.core.windows.net
from azure.storage.fileshare import ShareServiceClient
service = ShareServiceClient.from_connection_string(
os.environ["AZURE_STORAGE_CONNECTION_STRING"]
)
from azure.storage.fileshare import ShareServiceClient
from azure.identity import DefaultAzureCredential
service = ShareServiceClient(
account_url=os.environ["AZURE_STORAGE_ACCOUNT_URL"],
credential=DefaultAzureCredential()
)
share = service.create_share("my-share")
for share in service.list_shares():
print(f"{share.name}: {share.quota} GB")
share_client = service.get_share_client("my-share")
service.delete_share("my-share")
share_client = service.get_share_client("my-share")
share_client.create_directory("my-directory")
# Nested directory
share_client.create_directory("my-directory/sub-directory")
directory_client = share_client.get_directory_client("my-directory")
for item in directory_client.list_directories_and_files():
if item["is_directory"]:
print(f"[DIR] {item['name']}")
else:
print(f"[FILE] {item['name']} ({item['size']} bytes)")
share_client.delete_directory("my-directory")
file_client = share_client.get_file_client("my-directory/file.txt")
# From string
file_client.upload_file("Hello, World!")
# From file
with open("local-file.txt", "rb") as f:
file_client.upload_file(f)
# From bytes
file_client.upload_file(b"Binary content")
file_client = share_client.get_file_client("my-directory/file.txt")
# To bytes
data = file_client.download_file().readall()
# To file
with open("downloaded.txt", "wb") as f:
data = file_client.download_file()
data.readinto(f)
# Stream chunks
download = file_client.download_file()
for chunk in download.chunks():
process(chunk)
properties = file_client.get_file_properties()
print(f"Size: {properties.size}")
print(f"Content type: {properties.content_settings.content_type}")
print(f"Last modified: {properties.last_modified}")
file_client.delete_file()
source_url = "https://account.file.core.windows.net/share/source.txt"
dest_client = share_client.get_file_client("destination.txt")
dest_client.start_copy_from_url(source_url)
# Upload to specific range
file_client.upload_range(data=b"content", offset=0, length=7)
# Download specific range
download = file_client.download_file(offset=0, length=100)
data = download.readall()
snapshot = share_client.create_snapshot()
print(f"Snapshot: {snapshot['snapshot']}")
snapshot_client = service.get_share_client(
"my-share",
snapshot=snapshot["snapshot"]
)
from azure.storage.fileshare.aio import ShareServiceClient
from azure.identity.aio import DefaultAzureCredential
async def upload_file():
credential = DefaultAzureCredential()
service = ShareServiceClient(account_url, credential=credential)
share = service.get_share_client("my-share")
file_client = share.get_file_client("test.txt")
await file_client.upload_file("Hello!")
await service.close()
await credential.close()
| Client | Purpose |
|--------|---------|
| ShareServiceClient | Account-level operations |
| ShareClient | Share operations |
| ShareDirectoryClient | Directory operations |
| ShareFileClient | File operations |
development
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development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-lakebase-provisioned --- # Lakebase Provisioned Patterns and best practices for using Lakebase Provisioned (Databricks managed PostgreSQL) for OLTP workloads. ## When to Use Use this skill when: - Building applications that need a PostgreSQL database for transactional workloads - Adding persistent state to Databricks Apps - Implementing reverse ETL from Delta Lake to an operational database - Storing chat/agent m
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: databricks-jobs --- # Databricks Lakeflow Jobs ## Overview Databricks Jobs orchestrate data workflows with multi-task DAGs, flexible triggers, and comprehensive monitoring. Jobs support diverse task types and can be managed via Python SDK, CLI, or Asset Bundles. ## Reference Files | Use Case | Reference File | | ----------------------
development
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