Files
app-store-optimization/skills/official/microsoft/python/entra/azure-identity/SKILL.md
Ahmed Rehan 17bce709de feat: Add Official Microsoft & Gemini Skills (845+ Total)
🚀 Impact

Significantly expands the capabilities of **Antigravity Awesome Skills** by integrating official skill collections from **Microsoft** and **Google Gemini**. This update increases the total skill count to **845+**, making the library even more comprehensive for AI coding assistants.

 Key Changes

1. New Official Skills

- **Microsoft Skills**: Added a massive collection of official skills from [microsoft/skills](https://github.com/microsoft/skills).
  - Includes Azure, .NET, Python, TypeScript, and Semantic Kernel skills.
  - Preserves the original directory structure under `skills/official/microsoft/`.
  - Includes plugin skills from the `.github/plugins` directory.
- **Gemini Skills**: Added official Gemini API development skills under `skills/gemini-api-dev/`.

2. New Scripts & Tooling

- **`scripts/sync_microsoft_skills.py`**: A robust synchronization script that:
  - Clones the official Microsoft repository.
  - Preserves the original directory heirarchy.
  - Handles symlinks and plugin locations.
  - Generates attribution metadata.
- **`scripts/tests/inspect_microsoft_repo.py`**: Debug tool to inspect the remote repository structure.
- **`scripts/tests/test_comprehensive_coverage.py`**: Verification script to ensure 100% of skills are captured during sync.

3. Core Improvements

- **`scripts/generate_index.py`**: Enhanced frontmatter parsing to safely handle unquoted values containing `@` symbols and commas (fixing issues with some Microsoft skill descriptions).
- **`package.json`**: Added `sync:microsoft` and `sync:all-official` scripts for easy maintenance.

4. Documentation

- Updated `README.md` to reflect the new skill counts (845+) and added Microsoft/Gemini to the provider list.
- Updated `CATALOG.md` and `skills_index.json` with the new skills.

🧪 Verification

- Ran `scripts/tests/test_comprehensive_coverage.py` to verify all Microsoft skills are detected.
- Validated `generate_index.py` fixes by successfully indexing the new skills.
2026-02-11 20:36:09 +05:00

5.3 KiB

name, description, package
name description package
azure-identity-py Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching. Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential". azure-identity

Azure Identity SDK for Python

Authentication library for Azure SDK clients using Microsoft Entra ID (formerly Azure AD).

Installation

pip install azure-identity

Environment Variables

# Service Principal (for production/CI)
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_SECRET=<your-client-secret>

# User-assigned Managed Identity (optional)
AZURE_CLIENT_ID=<managed-identity-client-id>

DefaultAzureCredential

The recommended credential for most scenarios. Tries multiple authentication methods in order:

from azure.identity import DefaultAzureCredential
from azure.storage.blob import BlobServiceClient

# Works in local dev AND production without code changes
credential = DefaultAzureCredential()

client = BlobServiceClient(
    account_url="https://<account>.blob.core.windows.net",
    credential=credential
)

Credential Chain Order

Order Credential Environment
1 EnvironmentCredential CI/CD, containers
2 WorkloadIdentityCredential Kubernetes
3 ManagedIdentityCredential Azure VMs, App Service, Functions
4 SharedTokenCacheCredential Windows only
5 VisualStudioCodeCredential VS Code with Azure extension
6 AzureCliCredential az login
7 AzurePowerShellCredential Connect-AzAccount
8 AzureDeveloperCliCredential azd auth login

Customizing DefaultAzureCredential

# Exclude credentials you don't need
credential = DefaultAzureCredential(
    exclude_environment_credential=True,
    exclude_shared_token_cache_credential=True,
    managed_identity_client_id="<user-assigned-mi-client-id>"  # For user-assigned MI
)

# Enable interactive browser (disabled by default)
credential = DefaultAzureCredential(
    exclude_interactive_browser_credential=False
)

Specific Credential Types

ManagedIdentityCredential

For Azure-hosted resources (VMs, App Service, Functions, AKS):

from azure.identity import ManagedIdentityCredential

# System-assigned managed identity
credential = ManagedIdentityCredential()

# User-assigned managed identity
credential = ManagedIdentityCredential(
    client_id="<user-assigned-mi-client-id>"
)

ClientSecretCredential

For service principal with secret:

from azure.identity import ClientSecretCredential

credential = ClientSecretCredential(
    tenant_id=os.environ["AZURE_TENANT_ID"],
    client_id=os.environ["AZURE_CLIENT_ID"],
    client_secret=os.environ["AZURE_CLIENT_SECRET"]
)

AzureCliCredential

Uses the account from az login:

from azure.identity import AzureCliCredential

credential = AzureCliCredential()

ChainedTokenCredential

Custom credential chain:

from azure.identity import (
    ChainedTokenCredential,
    ManagedIdentityCredential,
    AzureCliCredential
)

# Try managed identity first, fall back to CLI
credential = ChainedTokenCredential(
    ManagedIdentityCredential(client_id="<user-assigned-mi-client-id>"),
    AzureCliCredential()
)

Credential Types Table

Credential Use Case Auth Method
DefaultAzureCredential Most scenarios Auto-detect
ManagedIdentityCredential Azure-hosted apps Managed Identity
ClientSecretCredential Service principal Client secret
ClientCertificateCredential Service principal Certificate
AzureCliCredential Local development Azure CLI
AzureDeveloperCliCredential Local development Azure Developer CLI
InteractiveBrowserCredential User sign-in Browser OAuth
DeviceCodeCredential Headless/SSH Device code flow

Getting Tokens Directly

from azure.identity import DefaultAzureCredential

credential = DefaultAzureCredential()

# Get token for a specific scope
token = credential.get_token("https://management.azure.com/.default")
print(f"Token expires: {token.expires_on}")

# For Azure Database for PostgreSQL
token = credential.get_token("https://ossrdbms-aad.database.windows.net/.default")

Async Client

from azure.identity.aio import DefaultAzureCredential
from azure.storage.blob.aio import BlobServiceClient

async def main():
    credential = DefaultAzureCredential()
    
    async with BlobServiceClient(
        account_url="https://<account>.blob.core.windows.net",
        credential=credential
    ) as client:
        # ... async operations
        pass
    
    await credential.close()

Best Practices

  1. Use DefaultAzureCredential for code that runs locally and in Azure
  2. Never hardcode credentials — use environment variables or managed identity
  3. Prefer managed identity in production Azure deployments
  4. Use ChainedTokenCredential when you need a custom credential order
  5. Close async credentials explicitly or use context managers
  6. Set AZURE_CLIENT_ID for user-assigned managed identities
  7. Exclude unused credentials to speed up authentication