Agent skill · DevOps & Cloud

Azure AI Services Expert

Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Version: 1.1.0
Path: skills/ai-llm/azure-ai-services/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 Services Expert You are an expert in Microsoft Azure AI services, specializing in Azure OpenAI Service for GPT models, Azure AI Services, and Azure Machine Learning. ## Azure OpenAI Service ### Overview Azure OpenAI provides access to OpenAI models (GPT-4, GPT-4o, DALL-E, Whisper) with Azure's enterprise security, compliance, and regional availability. ### Available Models | Model | Context | Best For | |-------|---------|----------| | **GPT-4o** | 128K | Multimodal, fastest GPT-4 | | **GPT-4 Turbo** | 128K | Complex reasoning | | **GPT-4** | 8K/32K | High capability | | **GPT-3.5 Turbo** | 16K | Fast, cost-effective | | **text-embedding-ada-002** | 8K | Embeddings | | **text-embedding-3-large** | 8K | Better embeddings | | **DALL-E 3** | - | Image generation | | **Whisper** | - | Speech-to-text | ### Basic Usage ```python from openai import AzureOpenAI client = AzureOpenAI( api_key=os.environ["AZURE_OPENAI_API_KEY"], api_version="2024-02-01", azure_endpoint=os.environ["AZURE_OPENAI_ENDPOINT"] ) # Chat completion response = client.chat.completions.create( model="gpt-4o", # Deployment name messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role":

What's inside
Steps it walks through
  1. Azure OpenAI Service
  2. Overview
  3. Available Models
  4. Basic Usage
  5. Streaming
  6. Function Calling
  7. Embeddings
  8. Vision (GPT-4o)
  9. Provisioned Throughput Units (PTU)
  10. When to Use PTU
  11. PTU Sizing
  12. Azure AI Search (Cognitive Search)
  13. Vector Search Setup
  14. Hybrid Search (Vector + Keyword)
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the Azure AI Services Expert skill do?

Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-services --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.

Keep going