Agent skill · DevOps & Cloud

azure-ai-agents-persistent-dotnet

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill azure-ai-agents-persistent-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-agents-persistent-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.Agents.Persistent (.NET) Low-level SDK for creating and managing persistent AI agents with threads, messages, runs, and tools. ## Installation ```bash dotnet add package Azure.AI.Agents.Persistent --prerelease dotnet add package Azure.Identity ``` **Current Versions**: Stable v1.1.0, Preview v1.2.0-beta.8 ## Environment Variables ```bash PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project> MODEL_DEPLOYMENT_NAME=gpt-4o-mini AZURE_BING_CONNECTION_ID=<bing-connection-resource-id> AZURE_AI_SEARCH_CONNECTION_ID=<search-connection-resource-id> ``` ## Authentication ```csharp using Azure.AI.Agents.Persistent; using Azure.Identity; var projectEndpoint = Environment.GetEnvironmentVariable("PROJECT_ENDPOINT"); PersistentAgentsClient client = new(projectEndpoint, new DefaultAzureCredential()); ``` ## Client Hierarchy ``` PersistentAgentsClient ├── Administration → Agent CRUD operations ├── Threads → Thread management ├── Messages → Message operations ├── Runs → Run execution and streaming ├── Files → File upload/download └── VectorStores → Vector store management ``` ## Core Workflow ### 1. Create Agent ```csharp var modelDeploymentName = Environment.Get

What's inside
Steps it walks through
  1. Installation
  2. Environment Variables
  3. Authentication
  4. Client Hierarchy
  5. Core Workflow
  6. 1. Create Agent
  7. 2. Create Thread and Message
  8. 3. Run Agent (Polling)
  9. 4. Streaming Response
  10. 5. Function Calling
  11. 6. File Search with Vector Store
  12. 7. Bing Grounding
  13. 8. Azure AI Search
  14. 9. Cleanup
Ships with 1 file
  • metadata.json
Commands it runs
dotnet add package Azure.AI.Agents.Persistent --prerelease
dotnet add package Azure.Identity
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About this skill
What does the azure-ai-agents-persistent-dotnet skill do?

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-agents-persistent-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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