Azure Mgmt Weightsandbiases Dotnet
Azure Mgmt Weightsandbiases 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-weightsandbiases-dotnet && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/azure-mgmt-weightsandbiases-dotnet/SKILL.md -o ./skills/azure-mgmt-weightsandbiases-dotnet/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure.ResourceManager.WeightsAndBiases (.NET)
Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace.
Installation
dotnet add package Azure.ResourceManager.WeightsAndBiases --prerelease
dotnet add package Azure.Identity**Current Version**: v1.0.0-beta.1 (preview)
**API Version**: 2024-09-18-preview
Environment Variables
AZURE_SUBSCRIPTION_ID=<your-subscription-id>
AZURE_RESOURCE_GROUP=<your-resource-group>
AZURE_WANDB_INSTANCE_NAME=<your-wandb-instance>Authentication
using Azure.Identity;
using Azure.ResourceManager;
using Azure.ResourceManager.WeightsAndBiases;
ArmClient client = new ArmClient(new DefaultAzureCredential());Resource Hierarchy
Subscription
└── ResourceGroup
└── WeightsAndBiasesInstance # W&B deployment from Azure Marketplace
├── Properties
│ ├── Marketplace # Offer details, plan, publisher
│ ├── User # Admin user info
│ ├── PartnerProperties # W&B-specific config (region, subdomain)
│ └── SingleSignOnPropertiesV2 # Entra ID SSO configuration
└── Identity # Managed identity (optional)Core Workflows
1. Create Weights & Biases Instance
using Azure.ResourceManager.WeightsAndBiases;
using Azure.ResourceManager.WeightsAndBiases.Models;
ResourceGroupResource resourceGroup = await client
.GetDefaultSubscriptionAsync()
.Result
.GetResourceGroupAsync("my-resource-group");
WeightsAndBiasesInstanceCollection instances = resourceGroup.GetWeightsAndBiasesInstances();
WeightsAndBiasesInstanceData data = new WeightsAndBiasesInstanceData(AzureLocation.EastUS)
{
Properties = new WeightsAndBiasesInstanceProperties
{
// Marketplace configuration
Marketplace = new WeightsAndBiasesMarketplaceDetails
{
SubscriptionId = "<marketplace-subscription-id>",
OfferDetails = new WeightsAndBiasesOfferDetails
{
PublisherId = "wandb",
OfferId = "wandb-pay-as-you-go",
PlanId = "wandb-payg",
PlanName = "Pay As You Go",
TermId = "monthly",
TermUnit = "P1M"
}
},
// Admin user
User = new WeightsAndBiasesUserDetails
{
FirstName = "Admin",
LastName = "User",
EmailAddress = "admin@example.com",
Upn = "admin@example.com"
},
// W&B-specific configuration
PartnerProperties = new WeightsAndBiasesPartnerProperties
{
Region = WeightsAndBiasesRegion.EastUS,
Subdomain = "my-company-wandb"
}
},
// Optional: Enable managed identity
Identity = new ManagedServiceIdentity(ManagedServiceIdentityType.SystemAssigned)
};
ArmOperation<WeightsAndBiasesInstanceResource> operation = await instances
.CreateOrUpdateAsync(WaitUntil.Completed, "my-wandb-instance", data);
WeightsAndBiasesInstanceResource instance = operation.Value;
Console.WriteLine($"W&B Instance created: {instance.Data.Name}");
Console.WriteLine($"Provisioning state: {instance.Data.Properties.ProvisioningState}");2. Get Existing Instance
WeightsAndBiasesInstanceResource instance = await resourceGroup
.GetWeightsAndBiasesInstanceAsync("my-wandb-instance");
Console.WriteLine($"Instance: {instance.Data.Name}");
Console.WriteLine($"Location: {instance.Data.Location}");
Console.WriteLine($"State: {instance.Data.Properties.ProvisioningState}");
if (instance.Data.Properties.PartnerProperties != null)
{
Console.WriteLine($"Region: {instance.Data.Properties.PartnerProperties.Region}");
Console.WriteLine($"Subdomain: {instance.Data.Properties.PartnerProperties.Subdomain}");
}3. List All Instances
// List in resource group
await foreach (WeightsAnd🎯 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 Weightsandbiases 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 Weightsandbiases 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 Weightsandbiases 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 Weightsandbiases Dotnet?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-mgmt-weightsandbiases-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.