Azure Mgmt Apicenter Dotnet
Azure Mgmt Apicenter Dotnet is an code AI skill with a core value of |. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
|
Quick Facts
mkdir -p ./skills/azure-mgmt-apicenter-dotnet && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/azure-mgmt-apicenter-dotnet/SKILL.md -o ./skills/azure-mgmt-apicenter-dotnet/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure.ResourceManager.ApiCenter (.NET)
Centralized API inventory and governance SDK for managing APIs across your organization.
Installation
dotnet add package Azure.ResourceManager.ApiCenter
dotnet add package Azure.Identity**Current Version**: v1.0.0 (GA)
**API Version**: 2024-03-01
Environment Variables
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>
AZURE_APICENTER_SERVICE_NAME=<your-apicenter-service>Authentication
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.ApiCenter;
ArmClient client = new ArmClient(new DefaultAzureCredential());Resource Hierarchy
Subscription
└── ResourceGroup
└── ApiCenterService # API inventory service
├── Workspace # Logical grouping of APIs
│ ├── Api # API definition
│ │ └── ApiVersion # Version of the API
│ │ └── ApiDefinition # OpenAPI/GraphQL/etc specification
│ ├── Environment # Deployment target (dev/staging/prod)
│ └── Deployment # API deployed to environment
└── MetadataSchema # Custom metadata definitionsCore Workflows
1. Create API Center Service
using Azure.ResourceManager.ApiCenter;
using Azure.ResourceManager.ApiCenter.Models;
ResourceGroupResource resourceGroup = await client
.GetDefaultSubscriptionAsync()
.Result
.GetResourceGroupAsync("my-resource-group");
ApiCenterServiceCollection services = resourceGroup.GetApiCenterServices();
ApiCenterServiceData data = new ApiCenterServiceData(AzureLocation.EastUS)
{
Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
};
ArmOperation<ApiCenterServiceResource> operation = await services
.CreateOrUpdateAsync(WaitUntil.Completed, "my-api-center", data);
ApiCenterServiceResource service = operation.Value;2. Create Workspace
ApiCenterWorkspaceCollection workspaces = service.GetApiCenterWorkspaces();
ApiCenterWorkspaceData workspaceData = new ApiCenterWorkspaceData
{
Title = "Engineering APIs",
Description = "APIs owned by the engineering team"
};
ArmOperation<ApiCenterWorkspaceResource> operation = await workspaces
.CreateOrUpdateAsync(WaitUntil.Completed, "engineering", workspaceData);
ApiCenterWorkspaceResource workspace = operation.Value;3. Create API
ApiCenterApiCollection apis = workspace.GetApiCenterApis();
ApiCenterApiData apiData = new ApiCenterApiData
{
Title = "Orders API",
Description = "API for managing customer orders",
Kind = ApiKind.Rest,
LifecycleStage = ApiLifecycleStage.Production,
TermsOfService = new ApiTermsOfService
{
Uri = new Uri("https://example.com/terms")
},
ExternalDocumentation =
{
new ApiExternalDocumentation
{
Title = "Documentation",
Uri = new Uri("https://docs.example.com/orders")
}
},
Contacts =
{
new ApiContact
{
Name = "API Support",
Email = "api-support@example.com"
}
}
};
// Add custom metadata
apiData.CustomProperties = BinaryData.FromObjectAsJson(new
{
team = "orders-team",
costCenter = "CC-1234"
});
ArmOperation<ApiCenterApiResource> operation = await apis
.CreateOrUpdateAsync(WaitUntil.Completed, "orders-api", apiData);
ApiCenterApiResource api = operation.Value;4. Create API Version
ApiCenterApiVersionCollection versions = api.GetApiCenterApiVersions();
ApiCenterApiVersionData versionData = new ApiCenterApiVersionData
{
Title = "v1.0.0",
LifecycleStage = ApiLifecycleStage.Production
};
ArmOperation<ApiCenterApiVersionResource> operation = await versions
.CreateOrUpdateAsync(WaitUntil.Completed, "v1-0-0", versionData);🎯 Best For
- Claude users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Azure Mgmt Apicenter Dotnet to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Azure Mgmt Apicenter Dotnet compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Azure Mgmt Apicenter Dotnet?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Azure Mgmt Apicenter Dotnet?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-mgmt-apicenter-dotnet/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.