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.
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skills/official/microsoft/python/entra/azure-identity/SKILL.md
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skills/official/microsoft/python/entra/azure-identity/SKILL.md
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---
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name: azure-identity-py
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description: |
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Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching.
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Triggers: "azure-identity", "DefaultAzureCredential", "authentication", "managed identity", "service principal", "credential".
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package: azure-identity
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---
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# Azure Identity SDK for Python
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Authentication library for Azure SDK clients using Microsoft Entra ID (formerly Azure AD).
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## Installation
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```bash
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pip install azure-identity
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```
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## Environment Variables
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```bash
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# Service Principal (for production/CI)
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AZURE_TENANT_ID=<your-tenant-id>
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AZURE_CLIENT_ID=<your-client-id>
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AZURE_CLIENT_SECRET=<your-client-secret>
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# User-assigned Managed Identity (optional)
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AZURE_CLIENT_ID=<managed-identity-client-id>
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```
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## DefaultAzureCredential
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The recommended credential for most scenarios. Tries multiple authentication methods in order:
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```python
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from azure.identity import DefaultAzureCredential
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from azure.storage.blob import BlobServiceClient
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# Works in local dev AND production without code changes
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credential = DefaultAzureCredential()
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client = BlobServiceClient(
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account_url="https://<account>.blob.core.windows.net",
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credential=credential
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)
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```
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### Credential Chain Order
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| Order | Credential | Environment |
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|-------|-----------|-------------|
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| 1 | EnvironmentCredential | CI/CD, containers |
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| 2 | WorkloadIdentityCredential | Kubernetes |
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| 3 | ManagedIdentityCredential | Azure VMs, App Service, Functions |
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| 4 | SharedTokenCacheCredential | Windows only |
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| 5 | VisualStudioCodeCredential | VS Code with Azure extension |
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| 6 | AzureCliCredential | `az login` |
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| 7 | AzurePowerShellCredential | `Connect-AzAccount` |
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| 8 | AzureDeveloperCliCredential | `azd auth login` |
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### Customizing DefaultAzureCredential
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```python
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# Exclude credentials you don't need
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credential = DefaultAzureCredential(
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exclude_environment_credential=True,
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exclude_shared_token_cache_credential=True,
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managed_identity_client_id="<user-assigned-mi-client-id>" # For user-assigned MI
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)
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# Enable interactive browser (disabled by default)
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credential = DefaultAzureCredential(
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exclude_interactive_browser_credential=False
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)
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```
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## Specific Credential Types
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### ManagedIdentityCredential
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For Azure-hosted resources (VMs, App Service, Functions, AKS):
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```python
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from azure.identity import ManagedIdentityCredential
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# System-assigned managed identity
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credential = ManagedIdentityCredential()
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# User-assigned managed identity
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credential = ManagedIdentityCredential(
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client_id="<user-assigned-mi-client-id>"
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)
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```
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### ClientSecretCredential
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For service principal with secret:
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```python
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from azure.identity import ClientSecretCredential
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credential = ClientSecretCredential(
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tenant_id=os.environ["AZURE_TENANT_ID"],
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client_id=os.environ["AZURE_CLIENT_ID"],
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client_secret=os.environ["AZURE_CLIENT_SECRET"]
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)
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```
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### AzureCliCredential
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Uses the account from `az login`:
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```python
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from azure.identity import AzureCliCredential
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credential = AzureCliCredential()
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```
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### ChainedTokenCredential
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Custom credential chain:
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```python
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from azure.identity import (
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ChainedTokenCredential,
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ManagedIdentityCredential,
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AzureCliCredential
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)
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# Try managed identity first, fall back to CLI
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credential = ChainedTokenCredential(
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ManagedIdentityCredential(client_id="<user-assigned-mi-client-id>"),
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AzureCliCredential()
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)
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```
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## Credential Types Table
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| Credential | Use Case | Auth Method |
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|------------|----------|-------------|
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| `DefaultAzureCredential` | Most scenarios | Auto-detect |
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| `ManagedIdentityCredential` | Azure-hosted apps | Managed Identity |
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| `ClientSecretCredential` | Service principal | Client secret |
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| `ClientCertificateCredential` | Service principal | Certificate |
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| `AzureCliCredential` | Local development | Azure CLI |
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| `AzureDeveloperCliCredential` | Local development | Azure Developer CLI |
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| `InteractiveBrowserCredential` | User sign-in | Browser OAuth |
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| `DeviceCodeCredential` | Headless/SSH | Device code flow |
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## Getting Tokens Directly
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```python
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from azure.identity import DefaultAzureCredential
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credential = DefaultAzureCredential()
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# Get token for a specific scope
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token = credential.get_token("https://management.azure.com/.default")
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print(f"Token expires: {token.expires_on}")
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# For Azure Database for PostgreSQL
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token = credential.get_token("https://ossrdbms-aad.database.windows.net/.default")
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```
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## Async Client
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```python
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from azure.identity.aio import DefaultAzureCredential
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from azure.storage.blob.aio import BlobServiceClient
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async def main():
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credential = DefaultAzureCredential()
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async with BlobServiceClient(
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account_url="https://<account>.blob.core.windows.net",
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credential=credential
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) as client:
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# ... async operations
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pass
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await credential.close()
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```
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## Best Practices
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1. **Use DefaultAzureCredential** for code that runs locally and in Azure
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2. **Never hardcode credentials** — use environment variables or managed identity
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3. **Prefer managed identity** in production Azure deployments
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4. **Use ChainedTokenCredential** when you need a custom credential order
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5. **Close async credentials** explicitly or use context managers
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6. **Set AZURE_CLIENT_ID** for user-assigned managed identities
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7. **Exclude unused credentials** to speed up authentication
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