
Azure Container Registry SDK
FreeManage your Azure container images and repositories seamlessly.
Free · Opens the source repo
What Azure Container Registry SDK does
The Azure Container Registry SDK for Python provides developers with a robust interface to manage container images, artifacts, and repositories hosted in Azure's Container Registry. This SDK simplifies the tasks of listing, retrieving, updating, and deleting repositories and their associated tags and manifests. It is designed for developers who need to integrate Azure Container Registry functionalities into their applications or workflows, making it an essential tool for DevOps practices and container management.
Installation is straightforward, requiring just a single pip command to get started. The SDK supports both authenticated access via Azure's Entra ID and anonymous access for public registries, allowing flexibility based on your security needs. Once set up, users can perform a variety of operations, such as listing repositories, retrieving properties, and managing tags and manifests, all with concise Python code snippets provided in the documentation.
The SDK also includes best practices for managing container images effectively, such as using asynchronous operations for high-throughput tasks and employing strategies to clean up old or untagged manifests. This makes it particularly useful for teams working with large numbers of container images and needing to maintain a clean and efficient registry. Overall, this SDK is tailored for developers and DevOps engineers looking to streamline their container management processes in Azure.
When to use it
Use this skill when you need to automate or script interactions with Azure Container Registry, such as managing images and their properties.
When not to use it
Avoid this skill if you are not using Azure Container Registry or if your needs do not involve container image management.
What you can build with it
Automating Image Management
Use the SDK to automate the process of cleaning up old or untagged images in your Azure Container Registry.
Integrating with CI/CD Pipelines
Integrate the SDK into your CI/CD pipelines to manage container images as part of your deployment process.
Monitoring Repository Properties
Utilize the SDK to regularly check and log repository properties for compliance and auditing purposes.
How to install Azure Container Registry SDK
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/azure-containerregistry-py --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33Azure Container Registry SDK for Python
Manage container images, artifacts, and repositories in Azure Container Registry.
Installation
pip install azure-containerregistry
Environment Variables
AZURE_CONTAINERREGISTRY_ENDPOINT=https://<registry-name>.azurecr.io
Authentication
Entra ID (Recommended)
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential
client = ContainerRegistryClient(
endpoint=os.environ["AZURE_CONTAINERREGISTRY_ENDPOINT"],
credential=DefaultAzureCredential()
)
Anonymous Access (Public Registry)
from azure.containerregistry import ContainerRegistryClient
client = ContainerRegistryClient(
endpoint="https://mcr.microsoft.com",
credential=None,
audience="https://mcr.microsoft.com"
)
List Repositories
client = ContainerRegistryClient(endpoint, DefaultAzureCredential())
for repository in client.list_repository_names():
print(repository)
Repository Operations
Get Repository Properties
properties = client.get_repository_properties("my-image")
print(f"Created: {properties.created_on}")
print(f"Modified: {properties.last_updated_on}")
print(f"Manifests: {properties.manifest_count}")
print(f"Tags: {properties.tag_count}")
Update Repository Properties
from azure.containerregistry import RepositoryProperties
client.update_repository_properties(
"my-image",
properties=RepositoryProperties(
can_delete=False,
can_write=False
)
)
Delete Repository
client.delete_repository("my-image")
List Tags
for tag in client.list_tag_properties("my-image"):
print(f"{tag.name}: {tag.created_on}")
Filter by Order
from azure.containerregistry import ArtifactTagOrder
# Most recent first
for tag in client.list_tag_properties(
"my-image",
order_by=ArtifactTagOrder.LAST_UPDATED_ON_DESCENDING
):
print(f"{tag.name}: {tag.last_updated_on}")
Manifest Operations
List Manifests
from azure.containerregistry import ArtifactManifestOrder
for manifest in client.list_manifest_properties(
"my-image",
order_by=ArtifactManifestOrder.LAST_UPDATED_ON_DESCENDING
):
print(f"Digest: {manifest.digest}")
print(f"Tags: {manifest.tags}")
print(f"Size: {manifest.size_in_bytes}")
Get Manifest Properties
manifest = client.get_manifest_properties("my-image", "latest")
print(f"Digest: {manifest.digest}")
print(f"Architecture: {manifest.architecture}")
print(f"OS: {manifest.operating_system}")
Update Manifest Properties
from azure.containerregistry import ArtifactManifestProperties
client.update_manifest_properties(
"my-image",
"latest",
properties=ArtifactManifestProperties(
can_delete=False,
can_write=False
)
)
Delete Manifest
# Delete by digest
client.delete_manifest("my-image", "sha256:abc123...")
# Delete by tag
manifest = client.get_manifest_properties("my-image", "old-tag")
client.delete_manifest("my-image", manifest.digest)
Tag Operations
Get Tag Properties
tag = client.get_tag_properties("my-image", "latest")
print(f"Digest: {tag.digest}")
print(f"Created: {tag.created_on}")
Delete Tag
client.delete_tag("my-image", "old-tag")
Upload and Download Artifacts
from azure.containerregistry import ContainerRegistryClient
client = ContainerRegistryClient(endpoint, DefaultAzureCredential())
# Download manifest
manifest = client.download_manifest("my-image", "latest")
print(f"Media type: {manifest.media_type}")
print(f"Digest: {manifest.digest}")
# Download blob
blob = client.download_blob("my-image", "sha256:abc123...")
with open("layer.tar.gz", "wb") as f:
for chunk in blob:
f.write(chunk)
Async Client
from azure.containerregistry.aio import ContainerRegistryClient
from azure.identity.aio import DefaultAzureCredential
async def list_repos():
credential = DefaultAzureCredential()
client = ContainerRegistryClient(endpoint, credential)
async for repo in client.list_repository_names():
print(repo)
await client.close()
await credential.close()
Clean Up Old Images
from datetime import datetime, timedelta, timezone
cutoff = datetime.now(timezone.utc) - timedelta(days=30)
for manifest in client.list_manifest_properties("my-image"):
if manifest.last_updated_on < cutoff and not manifest.tags:
print(f"Deleting {manifest.digest}")
client.delete_manifest("my-image", manifest.digest)
Client Operations
| Operation | Description |
|---|---|
list_repository_names | List all repositories |
get_repository_properties | Get repository metadata |
delete_repository | Delete repository and all images |
list_tag_properties | List tags in repository |
get_tag_properties | Get tag metadata |
delete_tag | Delete specific tag |
list_manifest_properties | List manifests in repository |
get_manifest_properties | Get manifest metadata |
delete_manifest | Delete manifest by digest |
download_manifest | Download manifest content |
download_blob | Download layer blob |
Best Practices
- Use Entra ID for authentication in production
- Delete by digest not tag to avoid orphaned images
- Lock production images with can_delete=False
- Clean up untagged manifests regularly
- Use async client for high-throughput operations
- Order by last_updated to find recent/old images
- Check manifest.tags before deleting to avoid removing tagged images
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
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.
Frequently asked questions about Azure Container Registry SDK
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