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://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/output.md

Analyzer output reference

The analyzer prints one JSON object: schemaVersion, source (the reviewed SDK version and commit), coverage, ids, observations and limits (standing caveats to keep when sharing a report). Each observation has a kind, scope, and the anchors lineStart, lineEnd, relativeMs, threadMarker, codeFile and codeLine. Cite the line range; the relative time, thread marker and object value are not UTC, a unique thread or an object identity.

Observation kinds

Kind	Fields	Meaning
`sdk_version`	`version`	Version in the logged `speech.config`
`property`	`access`, `object`, `name`, `value`	Allowlisted property read or write on one object; `value` can be `present_value_withheld` or `value_not_allowlisted`
`session_property`	`access`, `object`, `name`, `sessionId`	`SessionId` property
`request_property`	`access`, `object`, `name`, `protocolRequestId`	`RESULT-RequestId` property
`request_context`	`features`, `evidence`, `sessionId`	Features in the SDK-generated `speech.context`, always `generated_context_only`; `sessionId` only when the context carries one
`session_event`	`object`, `event`, `sessionId`	SessionStarted or SessionStopped trace
`recognition_result`	`stage`, `resultId`, `reasonCode`	STT result ID; `reasonCode` is numeric and only on final results
`synthesis_event`	`event`, `synthesisRequestId`	TTS `started` or `done` trace; `done` is not success
`connection_configuration`	`sessionId`	Session ID set on a connection
`connection_header`	`connectionId`	Standalone `X-ConnectionId` header
`websocket_upgrade`	`statusCode`	Literal upgrade response status
`websocket_open_error`	`object`, `resultCode`, `errorCode`	Numeric open failure
`dns_error`	`errorCode`	Numeric lookup failure; one per occurrence

scope states what an observation is tied to, using IDs in that one record only: explicit_session, explicit_synthesis_request, explicit_result, object_only or unassociated.

Coverage

Field	Meaning
`format`	`native_text` or `unrecognized`
`lines`, `nativeRecords`, `unrecognizedLines`	Input size and how much matched the native header
`unhandledNativeRecords`	Native records with no extractor; not a clean bill of health
`oversizedRecords`, `malformedJsonRecords`	Records skipped or unparsed
`relativeClockRegressions`	Times that moved backwards, as in combined or restarted traces
`omittedObservations`, `omittedVersions`	Output limits reached
`observedVersions`, `sourceCompatibility`	Logged versions; `unknown`, `matches_reviewed_version` or `unreviewed_or_mixed_versions`
`utcMapping`, `sessionAttribution`, `captureCompleteness`	Always `not_established`, `explicit_ids_only` and `unknown`

ids lists distinct values by type (sessions, results, synthesisRequests, protocolRequests, connections) from retained observations only.

Example

A log line, then its observation with the anchors trimmed:

[7]: 105ms SPX_TRACE_INFO: AZ_LOG_INFO: uws_client.c:1250 Received WebSocket upgrade response with status code 401

{"kind":"websocket_upgrade","statusCode":401,"codeFile":"uws_client.c","scope":"unassociated"}

Report it as: observed, upgrade status 401 at that line; interpretation, an HTTP 401 on the upgrade, with the endpoint and authentication method as candidates to check; unknown, which session or request it belongs to.

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
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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

2026-11-08

Also distributed in

microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft.

Download ZIP

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