Azure AI

MicrosoftOfficialCreated by Microsoft

Skill
Tool integration
Cloud and DevOps
MIT
Low risk
Has scripts

From the author

Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, Speech SDK logs, session ID, result ID, OCR, convert text to speech.

— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a centralized reference for integrating and debugging Microsoft Azure AI services. It covers AI Search, Speech, OpenAI, and Document Intelligence, offering guidance on MCP tool usage, CLI commands, and SDK patterns. It includes specific troubleshooting resources for Speech SDK diagnostics and best practices for secure authentication across development and production environments.

What it does

Provides MCP tool mappings for Azure AI Search and Speech services.
Offers quick-reference guides for various Azure AI SDKs across multiple languages.
Outlines best practices for secure authentication using managed identities.
Includes troubleshooting patterns for Speech SDK logs and diagnostics.
Summarizes capabilities for vector, hybrid, and semantic search.
Details patterns for document intelligence and content safety implementations.

When to use it

When integrating Azure AI Search, Speech, or OpenAI into an application.
When troubleshooting Speech SDK connectivity or transcription issues.
When setting up authentication for Azure services in production versus local environments.
When looking for language-specific SDK patterns for Azure AI services.
When needing to perform OCR or form extraction via Document Intelligence.

Advantages

Centralizes documentation for multiple Azure AI services.
Provides clear guidance on moving from local development to production security.
Includes actionable MCP tool commands for rapid integration.
Offers language-specific SDK snippets for quick implementation.
Simplifies complex troubleshooting tasks like Speech SDK log analysis.

Usage examples

“List the available search indexes in my Azure AI Search service.”: The agent uses the azure__search MCP tool with the search_index_list command to retrieve and display the indexes.
“How should I authenticate my Azure AI client in a production environment?”: The agent provides the recommended pattern using ManagedIdentityCredential instead of DefaultAzureCredential to ensure secure, deterministic authentication.
“Transcribe this audio file using Azure Speech.”: The agent utilizes the azure__speech tool with the speech_transcribe command to process the audio file.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-ai/download
Unzip it into the cross-client skills folder of your project:
```
mkdir -p .agents/skills && unzip azure-ai.zip -d .agents/skills
```

Documentation by Microsoft

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, SDK logs	`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: In Copilot CLI or Claude Code, ask the user to run /mcp and enable Azure MCP; in other hosts, ask the user to enable Azure MCP through the host's MCP configuration.

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
Client SDK diagnostics	Speech SDK client diagnostics for log collection, offline analysis, features, and session/result IDs (no MCP or login required)

SDK Quick References

For programmatic access to these services, see the condensed SDK guides:

AI Search: Python | TypeScript | .NET
OpenAI: .NET
Vision: Python | Java
Transcription: Python
Translation: Python | TypeScript
Document Intelligence: .NET | TypeScript
Content Safety: Python | TypeScript | Java

Service Details

For deep documentation on specific services:

AI Search indexing and queries -> Azure AI Search documentation
Speech transcription patterns -> Azure AI Speech documentation
Speech SDK client logs and troubleshooting -> Speech SDK client diagnostics

Files

ATTRIBUTION.mdAdded by AutoGineer956 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md3.6 KiB
references/auth-best-practices.md6.1 KiB
references/sdk/azure-ai-contentsafety-java.md1.4 KiB
references/sdk/azure-ai-contentsafety-py.md1.3 KiB
references/sdk/azure-ai-contentsafety-ts.md1.4 KiB
references/sdk/azure-ai-document-intelligence-dotnet.md1.4 KiB
references/sdk/azure-ai-document-intelligence-ts.md1.5 KiB
references/sdk/azure-ai-openai-dotnet.md1.4 KiB
references/sdk/azure-ai-transcription-py.md1.2 KiB
references/sdk/azure-ai-translation-text-py.md1.3 KiB
references/sdk/azure-ai-translation-ts.md1.3 KiB
references/sdk/azure-ai-vision-imageanalysis-java.md1.3 KiB
references/sdk/azure-ai-vision-imageanalysis-py.md1.3 KiB
references/sdk/azure-search-documents-dotnet.md1.3 KiB
references/sdk/azure-search-documents-py.md1.5 KiB
references/sdk/azure-search-documents-ts.md1.2 KiB
references/speech/azure-checks.md3.5 KiB
references/speech/collection.md3.5 KiB
references/speech/diagnostics.md3.9 KiB
references/speech/interpretation.md3.8 KiB
references/speech/logging-apis.md3.8 KiB
references/speech/output.md3.5 KiB
references/speech/source-contract.md3.8 KiB
references/speech/without-node.md1.9 KiB
scripts/analyze-speech-sdk-log.mjsScript17.7 KiB
scripts/analyze-speech-sdk-log.ps1Script1.4 KiB
scripts/analyze-speech-sdk-log.shScript1.3 KiB

references/speech/azure-checks.md

Optional Azure checks and controlled tests

Use only when a missing fact needs live evidence; offline log analysis does not need Azure access. Discover advertised tool capabilities and schemas first and query only the user-confirmed resource and bounded UTC window.

The plugin configures Azure MCP, not a Speech log-analysis MCP. The local analyzer provides that function. Candidate command families below were checked in Azure MCP source; installed versions and host names can differ. Do not hardcode these as tool signatures.

Capability	Use and boundary
Foundry extensions resource get	Cognitive Services account endpoint, location, kind, SKU; not complete network/auth configuration
Monitor metric definitions/query	Discover metrics/dimensions first; then a bounded UTC symptom window
Monitor resource/workspace log query	Customer-collected logs only; absent diagnostics are not proof of no requests
Monitor activity log	Management changes; current settings do not establish historical state
Authorization role assignments	Inspect relevant scopes/principal; checked tool excludes parent-inherited assignments
Resource/Service Health	Supporting context when the resource/provider is supported; no event is not proof of no outage
Speech STT recognize / TTS synthesize	Optional baseline test, with conditions below
Extension CLI generate	Generates commands, does not execute them; inspect generated read-only commands before any shell execution

For ACL, private endpoint or local-auth questions, use an advertised management read that exposes the fields, or a scoped Azure CLI read if shell/CLI are available. Never request listKeys or put credentials into prompts. A generic ARM resource/provisioning read is not a Resource Health check. Configured state does not prove effective DNS/routes from the affected application.

Speech test equivalence

Before any live Speech test that sends data or may incur charges, obtain agreement on content, destination/endpoint, execution host, identity/auth, possible costs and local writes. Compare the customer's request with the test:

Dimension	Record
Environment	MCP server host versus app host, network/proxy/DNS
Authentication	Key/token/Entra and principal; never credentials
Path	Endpoint and Fast/Realtime; fallback or unknown actual path
SDK	Version/language if known; unknown if not exposed
Input/features	Audio/text, locale/voice, custom endpoint and features

The checked STT MCP selects Fast or Realtime and can fall back; it is not an exact reproduction of a realtime SDK failure. Checked Speech implementations use Entra credentials/tokens, which may differ from the customer's key. A successful MCP call does not validate the customer's credential, microphone, proxy, original request settings or SDK version.

If the tool does not expose actual path/IDs, report those as unknown. Do not infer them from success. Check the Speech result, not just the MCP envelope status. For a path-equivalent reproduction, use a reviewed SDK sample in the affected environment with user approval; do not quietly substitute a different API. Store a small result receipt: time, conditions, observed outcome and what remains untested.

On disabled MCP, denied access or unavailable tools, continue offline under the shared workflow. Do not enable logging on the MCP process as a fallback.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an MCP server, Needs Node.js

Security

What our scanner noticed· Low risk

Instructions that use the network
Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by

Microsoft

Publisher

Microsoft (Official)

Source

microsoft/skills · .github/plugins/azure-skills/skills/azure-ai · commit 0696600

Licence

MIT License (redistribution allowed)

LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-09

Also distributed in

microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-ai.zip