Azure Storage File Share SDK for Python

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/azure-storage-file-share-py

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Azure Storage File Share SDK for Python Manage SMB file shares for cloud-native and lift-and-shift scenarios.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Environment Variables, Authentication, Share Operations, Directory Operations, File Operations, Range Operations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. bash pip install azure-storage-file-share
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Installation

pip install azure-storage-file-share

Imported: Environment Variables

AZURE_STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;AccountName=...;AccountKey=...
# Or
AZURE_STORAGE_ACCOUNT_URL=https://<account>.file.core.windows.net

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-storage-file-share-py to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-storage-file-share-py against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-storage-file-share-py for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-storage-file-share-py using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Use connection string for simplest setup
• Use Entra ID for production with RBAC
• Stream large files using chunks() to avoid memory issues
• Create snapshots before major changes
• Set quotas to prevent unexpected storage costs
• Use ranges for partial file updates
• Close async clients explicitly

Imported Operating Notes

Imported: Best Practices

1. Use connection string for simplest setup
2. Use Entra ID for production with RBAC
3. Stream large files using chunks() to avoid memory issues
4. Create snapshots before major changes
5. Set quotas to prevent unexpected storage costs
6. Use ranges for partial file updates
7. Close async clients explicitly

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/azure-storage-file-share-py

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @azure-mgmt-apicenter-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-apimanagement-py

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @azure-mgmt-applicationinsights-dotnet

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: Authentication

Connection String

from azure.storage.fileshare import ShareServiceClient

service = ShareServiceClient.from_connection_string(
    os.environ["AZURE_STORAGE_CONNECTION_STRING"]
)

Entra ID

from azure.storage.fileshare import ShareServiceClient
from azure.identity import DefaultAzureCredential

service = ShareServiceClient(
    account_url=os.environ["AZURE_STORAGE_ACCOUNT_URL"],
    credential=DefaultAzureCredential()
)

Imported: Share Operations

Create Share

share = service.create_share("my-share")

List Shares

for share in service.list_shares():
    print(f"{share.name}: {share.quota} GB")

Get Share Client

share_client = service.get_share_client("my-share")

Delete Share

service.delete_share("my-share")

Imported: Directory Operations

Create Directory

share_client = service.get_share_client("my-share")
share_client.create_directory("my-directory")

# Nested directory
share_client.create_directory("my-directory/sub-directory")

List Directories and Files

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)")

Delete Directory

share_client.delete_directory("my-directory")

Imported: File Operations

Upload File

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")

Download File

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)

Get File Properties

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}")

Delete File

file_client.delete_file()

Copy 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)

Imported: Range Operations

Upload Range

# Upload to specific range
file_client.upload_range(data=b"content", offset=0, length=7)

Download Range

# Download specific range
download = file_client.download_file(offset=0, length=100)
data = download.readall()

Imported: Snapshot Operations

Create Snapshot

snapshot = share_client.create_snapshot()
print(f"Snapshot: {snapshot['snapshot']}")

Access Snapshot

snapshot_client = service.get_share_client(
    "my-share",
    snapshot=snapshot["snapshot"]
)

Imported: Async Client

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()

Imported: Client Types

ShareServiceClient

ShareClient

ShareDirectoryClient

ShareFileClient

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.