azure-mgmt-weightsandbiases-dotnet
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
Profile →npx skills add microsoft/skills --skill azure-mgmt-weightsandbiases-dotnet --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Azure.ResourceManager.WeightsAndBiases (.NET) Azure Resource Manager SDK for deploying and managing Weights & Biases ML experiment tracking instances via Azure Marketplace. ## Installation ```bash 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 ## Environm
What does the azure-mgmt-weightsandbiases-dotnet skill do?
Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".
How do I install it?
Run `npx skills add microsoft/skills --skill azure-mgmt-weightsandbiases-dotnet --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From microsoft/skills, a repository with 2,860 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.