Agent skill · DevOps & Cloud

azure-ai-projects-dotnet

Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-ai-projects-dotnet --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/ai-llm/azure-ai-projects-dotnet/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Azure.AI.Projects (.NET) High-level SDK for Azure AI Foundry project operations including agents, connections, datasets, deployments, evaluations, and indexes. ## Installation ```bash dotnet add package Azure.AI.Projects dotnet add package Azure.Identity # Optional: For versioned agents with OpenAI extensions dotnet add package Azure.AI.Projects.OpenAI --prerelease # Optional: For low-level agent operations dotnet add package Azure.AI.Agents.Persistent --prerelease ``` **Current Versions**: GA v1.1.0, Preview v1.2.0-beta.5 ## Environment Variables ```bash PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project> MODEL_DEPLOYMENT_NAME=gpt-4o-mini CONNECTION_NAME=<your-connection-name> AI_SEARCH_CONNECTION_NAME=<ai-search-connection> ``` ## Authentication ```csharp using Azure.Identity; using Azure.AI.Projects; var endpoint = Environment.GetEnvironmentVariable("PROJECT_ENDPOINT"); AIProjectClient projectClient = new AIProjectClient( new Uri(endpoint), new DefaultAzureCredential()); ``` ## Client Hierarchy ``` AIProjectClient ├── Agents → AIProjectAgentsOperations (versioned agents) ├── Connections → ConnectionsClient ├── Datasets → DatasetsClient ├── Deployme

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. Client Hierarchy
  5. Core Workflows
  6. 1. Get Persistent Agents Client
  7. 2. Versioned Agents with Tools (Preview)
  8. 3. Connections
  9. 4. Deployments
  10. 5. Datasets
  11. 6. Indexes
  12. 7. Evaluations
  13. 8. Get Azure OpenAI Chat Client
  14. Available Agent Tools
Ships with 1 file
  • metadata.json
Commands it runs
dotnet add package Azure.AI.Projects
dotnet add package Azure.Identity
dotnet add package Azure.AI.Projects.OpenAI --prerelease
dotnet add package Azure.AI.Agents.Persistent --prerelease
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About this skill
What does the azure-ai-projects-dotnet skill do?

Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-projects-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 majiayu000/claude-skill-registry, a repository with 534 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.

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