skills/azure-containerregistry-py/SKILL.md
--- name: azure-containerregistry-py description: "|" Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR". package: azure-containerregistry risk: unknown source: community --- # Azure Container Registry SDK for Python Manage container images, artifacts, and repositories in Azure Container Registry. ## Installation ```bash pip in
npx skillsauth add benjaminastera/antigravity-awesome-skills skills/azure-containerregistry-pyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Manage container images, artifacts, and repositories in Azure Container Registry.
pip install azure-containerregistry
AZURE_CONTAINERREGISTRY_ENDPOINT=https://<registry-name>.azurecr.io
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential
client = ContainerRegistryClient(
endpoint=os.environ["AZURE_CONTAINERREGISTRY_ENDPOINT"],
credential=DefaultAzureCredential()
)
from azure.containerregistry import ContainerRegistryClient
client = ContainerRegistryClient(
endpoint="https://mcr.microsoft.com",
credential=None,
audience="https://mcr.microsoft.com"
)
client = ContainerRegistryClient(endpoint, DefaultAzureCredential())
for repository in client.list_repository_names():
print(repository)
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}")
from azure.containerregistry import RepositoryProperties
client.update_repository_properties(
"my-image",
properties=RepositoryProperties(
can_delete=False,
can_write=False
)
)
client.delete_repository("my-image")
for tag in client.list_tag_properties("my-image"):
print(f"{tag.name}: {tag.created_on}")
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}")
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}")
manifest = client.get_manifest_properties("my-image", "latest")
print(f"Digest: {manifest.digest}")
print(f"Architecture: {manifest.architecture}")
print(f"OS: {manifest.operating_system}")
from azure.containerregistry import ArtifactManifestProperties
client.update_manifest_properties(
"my-image",
"latest",
properties=ArtifactManifestProperties(
can_delete=False,
can_write=False
)
)
# 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 = client.get_tag_properties("my-image", "latest")
print(f"Digest: {tag.digest}")
print(f"Created: {tag.created_on}")
client.delete_tag("my-image", "old-tag")
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)
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()
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)
| 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 |
This skill is applicable to execute the workflow or actions described in the overview.
development
Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations,...
testing
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...
development
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
development
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.