azure-ai
Comprehensive Azure AI skill for building, configuring, troubleshooting, and managing all Azure AI services. Covers Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, Document Intelligence, Cognitive Services (Vision, Speech, Language), Azure Machine Learning, Content Safety, and Responsible AI. Use when working with AI workloads, LLM deployments, vector search, RAG patterns, multi-agent orchestration, or any Azure AI service.
npx skills add majiayu000/claude-skill-registry --skill azure-ai-housegarofalo-claude-code-base-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Azure AI Services Skill Build and manage AI solutions with Azure AI services including Azure OpenAI, AI Search, Document Intelligence, and Cognitive Services. ## Triggers Use this skill when you see: - azure ai, azure openai, gpt, openai service - azure ai search, cognitive search, vector search - document intelligence, form recognizer - azure ml, machine learning, mlops - content safety, responsible ai ## Instructions ### Azure OpenAI Service #### Deploy Model via CLI ```bash # Create Azure OpenAI resource az cognitiveservices account create \ --name myopenai \ --resource-group mygroup \ --kind OpenAI \ --sku S0 \ --location eastus # Deploy a model az cognitiveservices account deployment create \ --name myopenai \ --resource-group mygroup \ --deployment-name gpt-4 \ --model-name gpt-4 \ --model-version "0613" \ --model-format OpenAI \ --sku-capacity 10 \ --sku-name Standard ``` #### Python SDK Usage ```python from openai import AzureOpenAI client = AzureOpenAI( api_key=os.getenv("AZURE_OPENAI_API_KEY"), api_version="2024-02-15-preview", azure_endpoint=os.getenv("AZURE_OPENAI_ENDPOINT") ) # Chat completion response = client.chat.completions.create( model="gpt-4", # deployment nam
- Triggers
- Instructions
- Azure OpenAI Service
- Azure AI Search
- Document Intelligence
- Azure Machine Learning
- Content Safety
- RAG Pattern Implementation
- Best Practices
- Common Workflows
- Deploy Azure OpenAI
- Build RAG Solution
Create Azure OpenAI resource az cognitiveservices account create \ Deploy a model az cognitiveservices account deployment create \ Create search service az search service create \ Create ML workspace az ml workspace create \ Create compute cluster az ml compute create \
What does the azure-ai skill do?
Comprehensive Azure AI skill for building, configuring, troubleshooting, and managing all Azure AI services. Covers Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, Document Intelligence, Cognitive Services (Vision, Speech, Language), Azure Machine Learning, Content Safety, and Responsible AI. Use when working with AI workloads, LLM deployments, vector search, RAG patterns, multi-agent orchestration, or any Azure AI service.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill azure-ai-housegarofalo-claude-code-base-2 --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.