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.
This commit is contained in:
Ahmed Rehan
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skills/official/microsoft/python/integration/apicenter/SKILL.md
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skills/official/microsoft/python/integration/apicenter/SKILL.md
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---
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name: azure-mgmt-apicenter-py
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description: |
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Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
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Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".
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package: azure-mgmt-apicenter
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---
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# Azure API Center Management SDK for Python
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Manage API inventory, metadata, and governance in Azure API Center.
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## Installation
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```bash
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pip install azure-mgmt-apicenter
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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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AZURE_SUBSCRIPTION_ID=your-subscription-id
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```
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## Authentication
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```python
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from azure.identity import DefaultAzureCredential
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from azure.mgmt.apicenter import ApiCenterMgmtClient
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import os
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client = ApiCenterMgmtClient(
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credential=DefaultAzureCredential(),
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subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
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)
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```
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## Create API Center
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```python
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from azure.mgmt.apicenter.models import Service
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api_center = client.services.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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resource=Service(
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location="eastus",
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tags={"environment": "production"}
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)
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)
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print(f"Created API Center: {api_center.name}")
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```
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## List API Centers
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```python
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api_centers = client.services.list_by_subscription()
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for api_center in api_centers:
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print(f"{api_center.name} - {api_center.location}")
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```
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## Register an API
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```python
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from azure.mgmt.apicenter.models import Api, ApiKind, LifecycleStage
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api = client.apis.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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api_name="my-api",
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resource=Api(
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title="My API",
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description="A sample API for demonstration",
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kind=ApiKind.REST,
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lifecycle_stage=LifecycleStage.PRODUCTION,
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terms_of_service={"url": "https://example.com/terms"},
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contacts=[{"name": "API Team", "email": "api-team@example.com"}]
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)
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)
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print(f"Registered API: {api.title}")
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```
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## Create API Version
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```python
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from azure.mgmt.apicenter.models import ApiVersion, LifecycleStage
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version = client.api_versions.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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api_name="my-api",
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version_name="v1",
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resource=ApiVersion(
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title="Version 1.0",
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lifecycle_stage=LifecycleStage.PRODUCTION
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)
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)
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print(f"Created version: {version.title}")
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```
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## Add API Definition
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```python
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from azure.mgmt.apicenter.models import ApiDefinition
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definition = client.api_definitions.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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api_name="my-api",
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version_name="v1",
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definition_name="openapi",
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resource=ApiDefinition(
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title="OpenAPI Definition",
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description="OpenAPI 3.0 specification"
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)
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)
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```
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## Import API Specification
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```python
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from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat
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# Import from inline content
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client.api_definitions.import_specification(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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api_name="my-api",
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version_name="v1",
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definition_name="openapi",
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body=ApiSpecImportRequest(
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format=ApiSpecImportSourceFormat.INLINE,
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value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}'
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)
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)
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```
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## List APIs
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```python
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apis = client.apis.list(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default"
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)
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for api in apis:
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print(f"{api.name}: {api.title} ({api.kind})")
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```
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## Create Environment
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```python
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from azure.mgmt.apicenter.models import Environment, EnvironmentKind
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environment = client.environments.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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environment_name="production",
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resource=Environment(
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title="Production",
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description="Production environment",
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kind=EnvironmentKind.PRODUCTION,
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server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]}
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)
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)
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```
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## Create Deployment
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```python
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from azure.mgmt.apicenter.models import Deployment, DeploymentState
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deployment = client.deployments.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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workspace_name="default",
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api_name="my-api",
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deployment_name="prod-deployment",
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resource=Deployment(
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title="Production Deployment",
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description="Deployed to production APIM",
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environment_id="/workspaces/default/environments/production",
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definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
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state=DeploymentState.ACTIVE,
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server={"runtime_uri": ["https://api.example.com"]}
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)
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)
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```
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## Define Custom Metadata
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```python
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from azure.mgmt.apicenter.models import MetadataSchema
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metadata = client.metadata_schemas.create_or_update(
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resource_group_name="my-resource-group",
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service_name="my-api-center",
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metadata_schema_name="data-classification",
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resource=MetadataSchema(
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schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
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)
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)
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```
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## Client Types
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| Client | Purpose |
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|--------|---------|
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| `ApiCenterMgmtClient` | Main client for all operations |
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## Operations
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| Operation Group | Purpose |
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|----------------|---------|
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| `services` | API Center service management |
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| `workspaces` | Workspace management |
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| `apis` | API registration and management |
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| `api_versions` | API version management |
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| `api_definitions` | API definition management |
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| `deployments` | Deployment tracking |
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| `environments` | Environment management |
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| `metadata_schemas` | Custom metadata definitions |
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## Best Practices
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1. **Use workspaces** to organize APIs by team or domain
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2. **Define metadata schemas** for consistent governance
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3. **Track deployments** to understand where APIs are running
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4. **Import specifications** to enable API analysis and linting
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5. **Use lifecycle stages** to track API maturity
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6. **Add contacts** for API ownership and support
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