Azure Architecture Autopilot
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
Azure API Center Management SDK for Python. An agent skill from microsoft/skills.
$ npx skills add microsoft/skills --skill azure-mgmt-apicenter-py -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/skills azure-mgmt-apicenter-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-mgmt-apicenter-py .claude/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .claude/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-py -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/skills azure-mgmt-apicenter-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-mgmt-apicenter-py .agents/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .agents/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-py -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/skills azure-mgmt-apicenter-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-mgmt-apicenter-py .cursor/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .cursor/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-py -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/skills azure-mgmt-apicenter-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-mgmt-apicenter-py .gemini/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .gemini/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-py .github/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .github/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-py .opencode/skills/azure-mgmt-apicenter-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-mgmt-apicenter-py" agent skill from https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py into .opencode/skills/azure-mgmt-apicenter-py/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-mgmt-apicenter-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-mgmt-apicenter-pyAzure API Center Management SDK for Python. An agent skill from microsoft/skills.
Azure Mgmt Apicenter Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization. Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".
Its SKILL.md is about 2.3k 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. It works with Microsoft Azure, Python and Visual Studio Code. The repository describes itself as: Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents. The licence is MIT.
8 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:
learn.microsoft.comportal.azure.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 Mgmt Apicenter Py loads about 2.3k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 348 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). 348 words, ~2,342 tokens.
.claude/skills/azure-mgmt-apicenter-py/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Manage API inventory, metadata, and governance in Azure API Center.
pip install azure-mgmt-apicenter
pip install azure-identityAZURE_SUBSCRIPTION_ID=your-subscription-id # 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.
from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.apicenter import ApiCenterMgmtClient
import os
# 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 ApiCenterMgmtClient(
credential=credential,
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
# Use `client` for all subsequent operations (see examples below)
...from azure.mgmt.apicenter.models import Service
api_center = client.services.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
resource=Service(
location="eastus",
tags={"environment": "production"}
)
)
print(f"Created API Center: {api_center.name}")api_centers = client.services.list_by_subscription()
for api_center in api_centers:
print(f"{api_center.name} - {api_center.location}")from azure.mgmt.apicenter.models import Api, ApiKind, ApiProperties
api = client.apis.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
resource=Api(
properties=ApiProperties(
title="My API",
description="A sample API for demonstration",
kind=ApiKind.REST,
terms_of_service={"url": "https://example.com/terms"},
contacts=[{"name": "API Team", "email": "api-team@example.com"}],
)
),
)
print(f"Registered API: {api.properties.title}")from azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, LifecycleStage
version = client.api_versions.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
resource=ApiVersion(
properties=ApiVersionProperties(
title="Version 1.0",
lifecycle_stage=LifecycleStage.PRODUCTION,
)
),
)
print(f"Created version: {version.properties.title}")from azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties
definition = client.api_definitions.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
definition_name="openapi",
resource=ApiDefinition(
properties=ApiDefinitionProperties(
title="OpenAPI Definition",
description="OpenAPI 3.0 specification",
)
),
)from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat
# Import from inline content
client.api_definitions.begin_import_specification(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
definition_name="openapi",
body=ApiSpecImportRequest(
format=ApiSpecImportSourceFormat.INLINE,
value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}',
)
).result()apis = client.apis.list(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default"
)
for api in apis:
print(f"{api.name}: {api.title} ({api.kind})")from azure.mgmt.apicenter.models import Environment, EnvironmentKind, EnvironmentProperties
environment = client.environments.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
environment_name="production",
resource=Environment(
properties=EnvironmentProperties(
title="Production",
description="Production environment",
kind=EnvironmentKind.PRODUCTION,
server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]},
)
),
)from azure.mgmt.apicenter.models import Deployment, DeploymentProperties, DeploymentState
deployment = client.deployments.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
deployment_name="prod-deployment",
resource=Deployment(
properties=DeploymentProperties(
title="Production Deployment",
description="Deployed to production APIM",
environment_id="/workspaces/default/environments/production",
definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
state=DeploymentState.ACTIVE,
server={"runtime_uri": ["https://api.example.com"]},
)
),
)from azure.mgmt.apicenter.models import MetadataSchema, MetadataSchemaProperties
metadata = client.metadata_schemas.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
metadata_schema_name="data-classification",
resource=MetadataSchema(
properties=MetadataSchemaProperties(
schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
)
),
)| Client | Purpose |
|---|---|
ApiCenterMgmtClient | Main client for all operations |
| Operation Group | Purpose |
|---|---|
services | API Center service management |
workspaces | Workspace management |
apis | API registration and management |
api_versions | API version management |
api_definitions | API definition management |
deployments | Deployment tracking |
environments | Environment management |
metadata_schemas | Custom metadata definitions |
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-mgmt-apicenter-py of microsoft/skills.
Open the folder on GitHubat commit 3898ec8
Azure Mgmt Apicenter 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 Mgmt Apicenter Py this skillmicrosoft/skills | 3.1k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Azure Architecture Autopilotgithub/awesome-copilot | 40k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Terraform Azurerm Set Diff Analyzergithub/awesome-copilot | 40k | 1 repos | ~547 | Automated safety check: Pass | MIT | |
| Osmo Lerobot Trainingmicrosoft/physical-ai-toolchain | 123 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Azure AI Deploytimothywarner-org/claude-code | 224 | — | ~731 | Automated safety check: Notes | MIT | |
| Apex Azure Bicep Patternsjonathan-vella/apex | 217 | — | ~2.5k | Automated safety check: Pass | MIT |
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes.
microsoft/physical-ai-toolchain
Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain
timothywarner-org/claude-code
Ship a Python generative-AI app to Azure the keyless way, using DefaultAzureCredential and azd.
jonathan-vella/apex
UTILITY SKILL — Reusable Azure Bicep patterns: hub-spoke, private endpoints, diagnostics, AVM composition.
github/awesome-copilot
Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.
microsoft/skills
Covers producer, consumer, and checkpoint-store setup for Azure Event Hubs streaming in Python, with Entra ID auth and partition targeting.
microsoft/skills
Builds podcast-style audio narration from text with Azure OpenAI's GPT Realtime Mini over WebSocket, from a Python FastAPI backend to a React player.
microsoft/skills
Build dark-themed React applications using Tailwind CSS with custom theming, glassmorphism effects, and Framer Motion animations.
microsoft/skills
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
microsoft/skills
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services.
Works with
Categories
Azure API Center Management SDK for Python. An agent skill from microsoft/skills. Azure Mgmt Apicenter Py is an agent skill from microsoft/skills, published by the product's own GitHub organization. Azure API Center Management SDK for Python.
Azure Mgmt Apicenter Py fits situations like: managing API inventory; governance across your organization.
Run `npx skills add microsoft/skills --skill azure-mgmt-apicenter-py -a claude-code`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py in microsoft/skills) into .claude/skills/azure-mgmt-apicenter-py in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/skills --skill azure-mgmt-apicenter-py -a codex`. Or copy the skill folder (.github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py in microsoft/skills) into .agents/skills/azure-mgmt-apicenter-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-mgmt-apicenter-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-mgmt-apicenter-py, .gemini/skills/azure-mgmt-apicenter-py, .github/skills/azure-mgmt-apicenter-py and .opencode/skills/azure-mgmt-apicenter-py in your project.
Going by SKILL.md and its folder, Azure Mgmt Apicenter Py needs the command-line tools its instructions call (pip) and credentials named AZURE_TOKEN_CREDENTIALS. Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: learn.microsoft.com and portal.azure.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 Mgmt Apicenter 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 2.3k tokens (SKILL.md is roughly 9.4k 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 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Azure Mgmt Apicenter Py: Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Terraform Azurerm Set Diff Analyzer (github/awesome-copilot, 40k stars), Osmo Lerobot Training (microsoft/physical-ai-toolchain, 123 stars) and Azure AI Deploy (timothywarner-org/claude-code, 224 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.