Minimega
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
Azure Container Registry SDK for Python. An agent skill from microsoft/skills.
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-containerregistry-py --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .claude/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .claude/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-pyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-containerregistry-py --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .agents/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .agents/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-containerregistry-py --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .cursor/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .cursor/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microsoft/skills.git --path .github/plugins/azure-sdk-python/skills/azure-containerregistry-py--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-containerregistry-py --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .gemini/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .gemini/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microsoft/skills azure-containerregistry-pyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .github/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .github/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microsoft/skills --skill azure-containerregistry-py -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/skills azure-containerregistry-py --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py .opencode/skills/azure-containerregistry-py && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-containerregistry-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-containerregistry-py into .opencode/skills/azure-containerregistry-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-containerregistry-py", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-containerregistry-pyAzure Container Registry SDK for Python. An agent skill from microsoft/skills.
Azure Containerregistry Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. Triggers: "azure-containerregistry", "ContainerRegistryClient", "container images", "docker registry", "ACR".
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/capabilities.md` and `references/non-hero-scenarios.md`).
It sits in DevOps & Cloud, covering Containers. It works with Microsoft Azure, Python, Visual Studio Code and Docker. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3898ec8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mcr.microsoft.comlearn.microsoft.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AZURE_TOKEN_CREDENTIALSFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Azure Containerregistry Py loads about 2.2k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 386 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from microsoft/skills at commit 3898ec8, republished under its MIT licence (© microsoft). 386 words, ~2,178 tokens.
.claude/skills/azure-containerregistry-py/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Manage container images, artifacts, and repositories in Azure Container Registry.
pip install azure-containerregistryAZURE_CONTAINERREGISTRY_ENDPOINT=https://<registry-name>.azurecr.io # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production🔑 Two rules apply to every code sample below:
- Prefer
DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
- Local dev:
DefaultAzureCredentialworks as-is.- Production: set
AZURE_TOKEN_CREDENTIALS=prod(orAZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.- Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
- Sync:
with <Client>(...) as client:- Async:
async with <Client>(...) as client:andasync with DefaultAzureCredential() as credential:(fromazure.identity.aio)Snippets may abbreviate this setup, but production code should always follow both rules.
import os
from azure.containerregistry import ContainerRegistryClient
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()
with ContainerRegistryClient(
endpoint=os.environ["AZURE_CONTAINERREGISTRY_ENDPOINT"],
credential=credential
) as client:
# Use client here (see following sections for operations)
...from azure.containerregistry import ContainerRegistryClient
with ContainerRegistryClient(
endpoint="https://mcr.microsoft.com",
credential=None,
audience="https://mcr.microsoft.com"
) as client:
# Use client here (see following sections for operations)
...with ContainerRegistryClient(endpoint, DefaultAzureCredential()) as client:
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
with ContainerRegistryClient(endpoint, DefaultAzureCredential()) as client:
# 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():
async with DefaultAzureCredential() as credential:
async with ContainerRegistryClient(endpoint, credential) as client:
async for repo in client.list_repository_names():
print(repo)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 |
azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
| references/non-hero-scenarios.md | Dedicated non-hero examples for secondary/advanced scenarios. |
© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .github/plugins/azure-sdk-python/skills/azure-containerregistry-py of microsoft/skills.
Open the folder on GitHubat commit 3898ec8
Azure Containerregistry Py next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Containerregistry Py this skillmicrosoft/skills | 3.1k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only | |
| Unraiddinglebear-ai/unraid | 135 | — | ~5.4k | Automated safety check: Notes | MIT | |
| Devsydevsy-org/devsy | 111 | — | ~1.7k | Automated safety check: Pass | MPL-2.0 | |
| Image Managementdotnet/dotnet-docker | 4.9k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 456 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 |
sandia-minimega/minimega
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microsoft/skills
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Categories
Azure Container Registry SDK for Python. An agent skill from microsoft/skills. Azure Containerregistry Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure Container Registry SDK for Python.
Azure Containerregistry Py fits situations like: managing container images; tasks that involve Containers.
Run `npx skills add microsoft/skills --skill azure-containerregistry-py -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-containerregistry-py in microsoft/skills) into .claude/skills/azure-containerregistry-py in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-containerregistry-py -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-containerregistry-py in microsoft/skills) into .agents/skills/azure-containerregistry-py in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microsoft/skills --skill azure-containerregistry-py -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-containerregistry-py, .gemini/skills/azure-containerregistry-py, .github/skills/azure-containerregistry-py and .opencode/skills/azure-containerregistry-py in your project.
Going by SKILL.md and its folder, Azure Containerregistry Py needs the command-line tools its instructions call (pip) and credentials named AZURE_TOKEN_CREDENTIALS. Our summary lists: Python 3; Docker.
SKILL.md names 2 domains. In commands or code: mcr.microsoft.com and learn.microsoft.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Azure Containerregistry Py is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Containerregistry Py: Minimega (sandia-minimega/minimega, 160 stars), Unraid (dinglebear-ai/unraid, 135 stars), Devsy (devsy-org/devsy, 111 stars) and Image Management (dotnet/dotnet-docker, 4.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/skills, which has 3,094 GitHub stars. The repository holds 150 skills in this directory. The repository was last updated on October 9, 2026.
Source: microsoft/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.