From azure
Uses MCP tools and SDKs for Azure AI: Search (vector/hybrid queries), Speech (STT/TTS/transcription), OpenAI models, Document Intelligence (OCR).
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure:azure-aiThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
| Service | Use When | MCP Tools | CLI |
| 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 | - | - |
When Azure MCP is enabled:
azure__search with command search_index_list - List search indexesazure__search with command search_index_get - Get index detailsazure__search with command search_query - Query search indexazure__speech with command speech_transcribe - Speech to textazure__speech with command speech_synthesize - Text to speechIf Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
| 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 |
| 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 |
For programmatic access to these services, see the condensed SDK guides:
For deep documentation on specific services:
2plugins reuse this skill
First indexed Mar 23, 2026
npx claudepluginhub attentiondotnet/azure-skillsUses MCP tools and SDKs for Azure AI: Search (vector/hybrid queries), Speech (STT/TTS/transcription), OpenAI models, Document Intelligence (OCR).
Provides expert guidance for Azure AI Speech development: STT/TTS APIs, custom voice/avatars, Voice Live, batch transcription, and containerized services. Includes troubleshooting, best practices, limits, security, and deployment.
Provides Python SDK usage for Azure AI Search: vector search, hybrid search, semantic ranking, indexing, and skillsets. Includes client setup, authentication, index creation with vector fields, and document upload.