Automated summary

Guide for using Azure AI services (AI Search, Speech, OpenAI, Document Intelligence) through the Azure MCP server or the az CLI.

Strengths

Lists concrete MCP commands for search queries and speech transcription/synthesis
Clearly separates full-text, vector, and hybrid search options
Points to condensed SDK references for Python, TypeScript, .NET, and Java plus official docs

Limitations

Assumes an Azure MCP server is already enabled; otherwise it only redirects to /azure:setup without setup details
Does not address pricing, quotas, or credential/security handling
Offers few complete code samples, relying mostly on links to reference files

When to use it

Use when you need to query an Azure AI Search index or add speech-to-text/text-to-speech to an Azure-based project.

When not to use it

Skip it if your stack is not on Azure or if you need a step-by-step guide to bootstrapping the MCP server from scratch.

Security analysis

Safe

Quality score74/100

The skill is a documentation/reference overview for Azure AI services. It contains no executable commands, no destructive instructions, no credential exfiltration, and no attempts to disable safety mechanisms. It only points to MCP tools, CLI commands, capabilities, and SDK reference documents.

No concerns found

How this analysis is made

Examples

Hybrid search index

Create an Azure AI Search index with vector and keyword fields, then run a hybrid search for 'refund policy' and show me the top 5 results.

Meeting transcription

Transcribe meeting.mp3 with Azure Speech and give me a diarized transcript showing who spoke when.

Document OCR extraction

Use Azure Document Intelligence to extract the form fields from invoice.pdf and return them as JSON.

name: azure-ai description: "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." license: MIT metadata: author: Microsoft version: 1.2.1

Azure AI Services

Name: Azure AI Services (Search, Speech, OpenAI)
Author: Skills Guide Bot

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 | 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: Run /azure:setup or enable via /mcp.

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 |

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

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/azure-ai-services-search-speech-openai-mu6guq02/download' --output '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md.part' && mv '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md.part' '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code

test -f '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md' && test -s '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/azure-ai' && cp -R '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02' '.claude/skills/azure-ai'

Cursor

test -f '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md' && test -s '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/azure-ai' && cp -R '.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02' '.cursor/skills/azure-ai'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation

openskills install './.skill-downloads/azure-ai-services-search-speech-openai-mu6guq02'

openskills read 'azure-ai-services-search-speech-openai-mu6guq02'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/azure-ai-services-search-speech-openai-mu6guq02/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

Related skills

Create Interactive Maps with kepler.gl

Data & AI

Create interactive map visualizations and export standalone HTML using the keplergl Python package. Use to plot geospatial data from DataFrames, GeoJSON, or CSV.

Claude CodeCursorCodexintermediateSafe 11,995

Skills Guide Bot