Azure AI — Agent Skill by Microsoft

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://mp-staging.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/source-contract.md

Public source and compatibility contract

Reviewed: Speech SDK v1.51.2, commit d0d08a34f40cd7a6d421f42fb14c2aab4f905ac5. Do not substitute main.

Rule	Public source
Source/binary/extension limits	README
Property IDs to logged names	property_id_2_name_map.h
Property writes	property_bag_impl.cpp
Context construction and pre-send trace	usp_reco_engine_adapter.cpp
Feature serialization	context builders
Session creation/events	audio_stream_session.cpp
Connection header	usp_connection.cpp
STT result/phrase IDs	recognition_result.cpp
TTS result/request IDs	synthesis_result.cpp
Synthesis start/done traces	synthesizer.cpp
Relative trace clock/thread marker	trace_message.cpp
C++ collection API	speechapi_cxx_file_logger.h

Source proves that revision, not the customer's runtime or service behavior. Bindings/extensions and JavaScript need separate verification. Do not infer server defaults, retry ceilings, capacity, billing or effective network behavior.

Analyzer scope

The analyzer recognizes selected native text-log shapes, not every binding, OS, version or feature. No version evidence means unknown. For other versions, retain literal observations; review matching source before interpretation.

Thread markers are reduced hashes, not unique object identifiers. Object addresses can be reused. Only IDs explicit in a record are attached to it. Property-bag addresses are not assumed to be recognizer/session objects. Result and synthesis traces log __FUNCTION__, which MSVC qualifies with the class name and GCC/Clang do not; the analyzer accepts both spellings. Property values are logged between quotes without escaping, so values can contain '.

The trace clock is not guaranteed process start or UTC. Clock resets, combined processes, late capture and filtered logs limit reconstruction.

Updating support

For new releases/shapes, review changed functions and capture APIs; add synthetic and non-sensitive runtime fixtures; run regressions and built-plugin Vally cases. Source review is not cross-platform runtime validation. Never publish customer logs, internal sources, credentials or support-case identifiers.

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.

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Download ZIP

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