skills/azure-ai/SKILL.md
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.
npx skillsauth add microsoft/azure-skills azure-aiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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| 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:
development
# Azure App Onboard Scaffold — IaC Generation + Self-Review Generate deployment-ready infrastructure code from an architecture plan, verify it with adversarial self-review, and bridge to validation — all without deploying. ## Quick Reference | Property | Value | |----------|-------| | Parent | [azure-app-onboard](../SKILL.md) | | Best for | Turning `prepare-plan.json` service list into Bicep templates with secure-by-default patterns | | Inputs | `prepare-plan.json` (services, naming, quotas),
devops
# Prepare — Architecture Planning & Cost Estimation ## Quick Reference | Property | Value | |----------|-------| | Best for | Mapping app components to Azure services with cost estimation and quota validation | | Inputs | `prereq-output.json` + `context.json` from `.copilot-azure/sessions/{id}/` | | Outputs | `prepare-plan.json` written to session directory | | Parent | [azure-app-onboard](../SKILL.md) | ## When to Use This Skill Invoked by the `azure-app-onboard` orchestrator at Phase 2 whe
testing
# Deploy — IaC Execution & Health Verification ## Quick Reference | Property | Value | |----------|-------| | Best for | Executing validated IaC against Azure, health-checking deployed resources | | Inputs | `prepare-plan.json` + `scaffold-manifest.json` from `.copilot-azure/sessions/{id}/` | | Outputs | `deploy-result.json` written to session directory | | Parent | [azure-app-onboard](../SKILL.md) | ## When to Use This Skill Invoked by the `azure-app-onboard` orchestrator at Phase 4 when `s
tools
End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and pre-deploy approval. Analyzes your app, auto-detects the right Azure services, scaffolds infrastructure code, and deploys — tailored to your app, not a template. Handles moving existing apps to Azure without rewriting or with minimal changes. WHEN: bring your app to Azure, plan my app, cost to run, is my code ready to deploy, deploy my app to the cloud, deploy all my services, what Azure services do I need, plan my Azure deployment, deploy my new app to Azure, one-click deploy, I have an app and want it on Azure, migrate my app to Azure, help me get started, build an app, no code yet, starter project. DO NOT USE FOR: running azd up (use azure-deploy), optimizing existing costs (use azure-cost), code readiness checks only (use azure-app-onboard-prereq).