/azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe,
$ npx -y skills add microsoft/azure-skills --skill azure-ai --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/azure-ai
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe,
SKILL.md
azure-ai.SKILL.mdname: azure-ai
description: "Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech."
license: MIT
metadata:
author: Microsoft
version: "1.2.1"
Azure AI Services
Services
| Service | Use When | MCP Tools | CLI | |---------|----------|-----------|-----| | AI Search | Full-text, vector, hybrid search | `azure__search` | `az search` | | Speech | Speech-to-text, text-to-speech | `azure__speech` | - | | OpenAI | GPT models, embeddings, DALL-E | - | `az cognitiveservices` | | Document Intelligence | Form extraction, OCR | - | - |
MCP Server (Preferred)
When Azure MCP is enabled:
AI Search
- `azure__search` with command `search_index_list` - List search indexes
- `azure__search` with command `search_index_get` - Get index details
- `azure__search` with command `search_query` - Query search index
Speech
- `azure__speech` with command `speech_transcribe` - Speech to text
- `azure__speech` with command `speech_synthesize` - Text to speech
**If Azure MCP is not enabled:** Run `/azure:setup` or enable via `/mcp`.
AI Search Capabilities
| Feature | Description | |---------|-------------| | Full-text search | Linguistic analysis, stemming | | Vector search | Semantic similarity with embeddings | | Hybrid search | Combined keyword + vector | | AI enrichment | Entity extraction, OCR, sentiment |
Speech Capabilities
| Feature | Description | |---------|-------------| | Speech-to-text | Real-time and batch transcription | | Text-to-speech | Neural voices, SSML support | | Speaker diarization | Identify who spoke when | | Custom models | Domain-specific vocabulary |
SDK Quick References
For programmatic access to these services, see the condensed SDK guides:
- **AI Search**: [Python](references/sdk/azure-search-documents-py.md) | [TypeScript](references/sdk/azure-search-documents-ts.md) | [.NET](references/sdk/azure-search-documents-dotnet.md)
- **OpenAI**: [.NET](references/sdk/azure-ai-openai-dotnet.md)
- **Vision**: [Python](references/sdk/azure-ai-vision-imageanalysis-py.md) | [Java](references/sdk/azure-ai-vision-imageanalysis-java.md)
- **Transcription**: [Python](references/sdk/azure-ai-transcription-py.md)
- **Translation**: [Python](references/sdk/azure-ai-translation-text-py.md) | [TypeScript](references/sdk/azure-ai-translation-ts.md)
- **Document Intelligence**: [.NET](references/sdk/azure-ai-document-intelligence-dotnet.md) | [TypeScript](references/sdk/azure-ai-document-intelligence-ts.md)
- **Content Safety**: [Python](references/sdk/azure-ai-contentsafety-py.md) | [TypeScript](references/sdk/azure-ai-contentsafety-ts.md) | [Java](references/sdk/azure-ai-contentsafety-java.md)
Service Details
For deep documentation on specific services:
- AI Search indexing and queries -> [Azure AI Search documentation](https://learn.microsoft.com/azure/search/search-what-is-azure-search)
- Speech transcription patterns -> [Azure AI Speech documentation](https://learn.microsoft.com/azure/ai-services/speech-service/overview)
Read more
name: azure-ai description: "Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech." license: MIT metadata: author: Microsoft version: "1.2.1"
Azure AI Services
Services
| Service | Use When | MCP Tools | CLI | |---------|----------|-----------|-----| | AI Search | Full-text, vector, hybrid search | `azure__search` | `az search` | | Speech | Speech-to-text, text-to-speech | `azure__speech` | - | | OpenAI | GPT models, embeddings, DALL-E | - | `az cognitiveservices` | | Document Intelligence | Form extraction, OCR | - | - |
MCP Server (Preferred)
When Azure MCP is enabled:
AI Search
- `azure__search` with command `search_index_list` - List search indexes
- `azure__search` with command `search_index_get` - Get index details
- `azure__search` with command `search_query` - Query search index
Speech
- `azure__speech` with command `speech_transcribe` - Speech to text
- `azure__speech` with command `speech_synthesize` - Text to speech
**If Azure MCP is not enabled:** Run `/azure:setup` or enable via `/mcp`.
AI Search Capabilities
| Feature | Description | |---------|-------------| | Full-text search | Linguistic analysis, stemming | | Vector search | Semantic similarity with embeddings | | Hybrid search | Combined keyword + vector | | AI enrichment | Entity extraction, OCR, sentiment |
Speech Capabilities
| Feature | Description | |---------|-------------| | Speech-to-text | Real-time and batch transcription | | Text-to-speech | Neural voices, SSML support | | Speaker diarization | Identify who spoke when | | Custom models | Domain-specific vocabulary |
SDK Quick References
For programmatic access to these services, see the condensed SDK guides:
- **AI Search**: [Python](references/sdk/azure-search-documents-py.md) | [TypeScript](references/sdk/azure-search-documents-ts.md) | [.NET](references/sdk/azure-search-documents-dotnet.md)
- **OpenAI**: [.NET](references/sdk/azure-ai-openai-dotnet.md)
- **Vision**: [Python](references/sdk/azure-ai-vision-imageanalysis-py.md) | [Java](references/sdk/azure-ai-vision-imageanalysis-java.md)
- **Transcription**: [Python](references/sdk/azure-ai-transcription-py.md)
- **Translation**: [Python](references/sdk/azure-ai-translation-text-py.md) | [TypeScript](references/sdk/azure-ai-translation-ts.md)
- **Document Intelligence**: [.NET](references/sdk/azure-ai-document-intelligence-dotnet.md) | [TypeScript](references/sdk/azure-ai-document-intelligence-ts.md)
- **Content Safety**: [Python](references/sdk/azure-ai-contentsafety-py.md) | [TypeScript](references/sdk/azure-ai-contentsafety-ts.md) | [Java](references/sdk/azure-ai-contentsafety-java.md)
Service Details
For deep documentation on specific services:
- AI Search indexing and queries -> [Azure AI Search documentation](https://learn.microsoft.com/azure/search/search-what-is-azure-search)
- Speech transcription patterns -> [Azure AI Speech documentation](https://learn.microsoft.com/azure/ai-services/speech-service/overview)
Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter.
Repo: microsoft/azure-skills
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