Azure ai

Skill Jylhis/skills/skills/services/azure-ai

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.From its SKILL.md

Install

npx -y skills add Jylhis/skills --skill azure-ai

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.3 KB, 692 tokens by cl100k_base, as published. Nobody here has run it

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	`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

What ships with it: 15 files

24.9 KB alongside SKILL.md

references/

auth-best-practices.md6.1 KB
sdk/azure-ai-contentsafety-java.md1.4 KB
sdk/azure-ai-contentsafety-py.md1.3 KB
sdk/azure-ai-contentsafety-ts.md1.4 KB
sdk/azure-ai-document-intelligence-dotnet.md1.4 KB
sdk/azure-ai-document-intelligence-ts.md1.5 KB
sdk/azure-ai-openai-dotnet.md1.4 KB
sdk/azure-ai-transcription-py.md1.2 KB
sdk/azure-ai-translation-text-py.md1.3 KB
sdk/azure-ai-translation-ts.md1.3 KB
sdk/azure-ai-vision-imageanalysis-java.md1.3 KB
sdk/azure-ai-vision-imageanalysis-py.md1.3 KB
sdk/azure-search-documents-dotnet.md1.3 KB
sdk/azure-search-documents-py.md1.5 KB
sdk/azure-search-documents-ts.md1.2 KB

Gives 0 of the 12 instructions most video audio skills give in 692 tokens

Counted across 619 of the 725 authors here whose files we hold, read 2026-09-06

Read product marketing context firstin 13 of 619, across 7 files
Define the core visual thesis in one sentencein 11 of 619, across 3 files
Break the concept into 3 to 6 scenesin 11 of 619, across 3 files
Render the smallest working version firstin 11 of 619, across 3 files
Start with a low-quality smoke test renderin 11 of 619, across 3 files
Add captions for accessibility and engagementin 11 of 619, across 5 files
Write the scene outline before writing codein 11 of 619, across 3 files
Specify subject, action, camera, style, and moodin 11 of 619, across 5 files
Decide what each scene provesin 10 of 619, across 2 files
Export one clean thumbnail framein 10 of 619, across 2 files
Pick the right tool for the jobin 10 of 619, across 4 files
Run the test suite before proposing a fixin 8 of 619, across 7 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.