Azure Mgmt Arizeaiobservabilityeval Dotnet

Azure.ResourceManager.ArizeAIObservabilityEval

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/azure-mgmt-arizeaiobservabilityeval-dotnet from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Azure.ResourceManager.ArizeAIObservabilityEval .NET SDK for managing Arize AI Observability and Evaluation resources on Azure.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Package Info, Environment Variables, Authentication, Key Types, Enums, Error Handling.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Azure Resource Manager SDK for Arize AI Observability and Evaluation (.NET).
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. bash dotnet add package Azure.ResourceManager.ArizeAIObservabilityEval --version 1.0.0 ### Create an Arize AI Organization csharp using Azure.Core; using Azure.ResourceManager.Resources; using Azure.ResourceManager.ArizeAIObservabilityEval; using Azure.ResourceManager.ArizeAIObservabilityEval.Models; // Get subscription and resource group var subscriptionId = Environment.GetEnvironmentVariable("AZURESUBSCRIPTIONID"); var subscription = await armClient.GetSubscriptionResource( SubscriptionResource.CreateResourceIdentifier(subscriptionId)).GetAsync(); var resourceGroup = await subscription.Value.GetResourceGroupAsync("my-resource-group"); // Get the organization collection var collection = resourceGroup.Value.GetArizeAIObservabilityEvalOrganizations(); // Create organization data var data = new ArizeAIObservabilityEvalOrganizationData(AzureLocation.EastUS) { Properties = new ArizeAIObservabilityEvalOrganizationProperties { Marketplace = new ArizeAIObservabilityEvalMarketplaceDetails { SubscriptionId = "marketplace-subscription-id", OfferDetails = new ArizeAIObservabilityEvalOfferDetails { PublisherId = "arikimlabs1649082416596", OfferId = "arize-liftr-1", PlanId = "arize-liftr-1-plan", PlanName = "Arize AI Plan", TermUnit = "P1M", TermId = "term-id" } }, User = new ArizeAIObservabilityEvalUserDetails { FirstName = "John", LastName = "Doe", EmailAddress = "john.doe@example.com" } }, Tags = { ["environment"] = "production" } }; // Create (long-running operation) var operation = await collection.CreateOrUpdateAsync( WaitUntil.Completed, "my-arize-org", data); var organization = operation.Value; Console.WriteLine($"Created: {organization.Data.Name}"); ### Get an Organization csharp // Option 1: From collection var org = await collection.GetAsync("my-arize-org"); // Option 2: Check if exists first var exists = await collection.ExistsAsync("my-arize-org"); if (exists.Value) { var org = await collection.GetAsync("my-arize-org"); } // Option 3: GetIfExists (returns null if not found) var response = await collection.GetIfExistsAsync("my-arize-org"); if (response.HasValue) { var org = response.Value; } ### List Organizations csharp // List in resource group await foreach (var org in collection.GetAllAsync()) { Console.WriteLine($"Org: {org.Data.Name}, State: {org.Data.Properties?.ProvisioningState}"); } // List in subscription await foreach (var org in subscription.Value.GetArizeAIObservabilityEvalOrganizationsAsync()) { Console.WriteLine($"Org: {org.Data.Name}"); } ### Update an Organization csharp // Update tags var org = await collection.GetAsync("my-arize-org"); var updateData = new ArizeAIObservabilityEvalOrganizationPatch { Tags = { ["environment"] = "staging", ["team"] = "ml-ops" } }; var updated = await org.Value.UpdateAsync(updateData); ### Delete an Organization csharp var org = await collection.GetAsync("my-arize-org"); await org.Value.DeleteAsync(WaitUntil.Completed);
2. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
3. Read the overview and provenance files before loading any copied upstream support files.
4. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
5. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
6. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
7. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.

Imported Workflow Notes

Imported: Installation

dotnet add package Azure.ResourceManager.ArizeAIObservabilityEval --version 1.0.0

Imported: Core Workflow

Create an Arize AI Organization

using Azure.Core;
using Azure.ResourceManager.Resources;
using Azure.ResourceManager.ArizeAIObservabilityEval;
using Azure.ResourceManager.ArizeAIObservabilityEval.Models;

// Get subscription and resource group
var subscriptionId = Environment.GetEnvironmentVariable("AZURE_SUBSCRIPTION_ID");
var subscription = await armClient.GetSubscriptionResource(
    SubscriptionResource.CreateResourceIdentifier(subscriptionId)).GetAsync();
var resourceGroup = await subscription.Value.GetResourceGroupAsync("my-resource-group");

// Get the organization collection
var collection = resourceGroup.Value.GetArizeAIObservabilityEvalOrganizations();

// Create organization data
var data = new ArizeAIObservabilityEvalOrganizationData(AzureLocation.EastUS)
{
    Properties = new ArizeAIObservabilityEvalOrganizationProperties
    {
        Marketplace = new ArizeAIObservabilityEvalMarketplaceDetails
        {
            SubscriptionId = "marketplace-subscription-id",
            OfferDetails = new ArizeAIObservabilityEvalOfferDetails
            {
                PublisherId = "arikimlabs1649082416596",
                OfferId = "arize-liftr-1",
                PlanId = "arize-liftr-1-plan",
                PlanName = "Arize AI Plan",
                TermUnit = "P1M",
                TermId = "term-id"
            }
        },
        User = new ArizeAIObservabilityEvalUserDetails
        {
            FirstName = "John",
            LastName = "Doe",
            EmailAddress = "john.doe@example.com"
        }
    },
    Tags = { ["environment"] = "production" }
};

// Create (long-running operation)
var operation = await collection.CreateOrUpdateAsync(
    WaitUntil.Completed,
    "my-arize-org",
    data);

var organization = operation.Value;
Console.WriteLine($"Created: {organization.Data.Name}");

Get an Organization

// Option 1: From collection
var org = await collection.GetAsync("my-arize-org");

// Option 2: Check if exists first
var exists = await collection.ExistsAsync("my-arize-org");
if (exists.Value)
{
    var org = await collection.GetAsync("my-arize-org");
}

// Option 3: GetIfExists (returns null if not found)
var response = await collection.GetIfExistsAsync("my-arize-org");
if (response.HasValue)
{
    var org = response.Value;
}

List Organizations

// List in resource group
await foreach (var org in collection.GetAllAsync())
{
    Console.WriteLine($"Org: {org.Data.Name}, State: {org.Data.Properties?.ProvisioningState}");
}

// List in subscription
await foreach (var org in subscription.Value.GetArizeAIObservabilityEvalOrganizationsAsync())
{
    Console.WriteLine($"Org: {org.Data.Name}");
}

Update an Organization

// Update tags
var org = await collection.GetAsync("my-arize-org");
var updateData = new ArizeAIObservabilityEvalOrganizationPatch
{
    Tags = { ["environment"] = "staging", ["team"] = "ml-ops" }
};
var updated = await org.Value.UpdateAsync(updateData);

Delete an Organization

var org = await collection.GetAsync("my-arize-org");
await org.Value.DeleteAsync(WaitUntil.Completed);

Imported: Package Info

Examples

Example 1: Ask for the upstream workflow directly

Use @azure-mgmt-arizeaiobservabilityeval-dotnet to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @azure-mgmt-arizeaiobservabilityeval-dotnet against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @azure-mgmt-arizeaiobservabilityeval-dotnet for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @azure-mgmt-arizeaiobservabilityeval-dotnet using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Use async methods — All operations support async/await
• Handle long-running operations — Use WaitUntil.Completed or poll manually
• Use GetIfExistsAsync — Avoid exceptions for conditional logic
• Implement retry policies — Configure via ArmClientOptions
• Use resource identifiers — For direct resource access without listing
• Close clients properly — Use using statements or dispose explicitly
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.

Imported Operating Notes

Imported: Best Practices

1. Use async methods — All operations support async/await
2. Handle long-running operations — Use WaitUntil.Completed or poll manually
3. Use GetIfExistsAsync — Avoid exceptions for conditional logic
4. Implement retry policies — Configure via ArmClientOptions
5. Use resource identifiers — For direct resource access without listing
6. Close clients properly — Use using statements or dispose explicitly

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/azure-mgmt-arizeaiobservabilityeval-dotnet, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Direct Resource Access

// Access resource directly by ID (without listing)
var resourceId = ArizeAIObservabilityEvalOrganizationResource.CreateResourceIdentifier(
    subscriptionId,
    "my-resource-group",
    "my-arize-org");

var org = armClient.GetArizeAIObservabilityEvalOrganizationResource(resourceId);
var data = await org.GetAsync();

Imported: Environment Variables

AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_TENANT_ID=<your-tenant-id>
AZURE_CLIENT_ID=<your-client-id>
AZURE_CLIENT_SECRET=<your-client-secret>

Imported: Authentication

using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.ArizeAIObservabilityEval;

// Always use DefaultAzureCredential
var credential = new DefaultAzureCredential();
var armClient = new ArmClient(credential);

Imported: Key Types

Imported: Enums

Imported: Error Handling

try
{
    var org = await collection.GetAsync("my-arize-org");
}
catch (Azure.RequestFailedException ex) when (ex.Status == 404)
{
    Console.WriteLine("Organization not found");
}
catch (Azure.RequestFailedException ex)
{
    Console.WriteLine($"Azure error: {ex.Message}");
}

Imported: Links

• NuGet Package
• Azure SDK for .NET
• Arize AI

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.