Azure Ai Vision

Organization

MicrosoftDocs

azure-ai-vision

Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).

Overview

Publisher	MicrosoftDocs
Repository	`Agent-Skills`
Skill name	`azure-ai-vision`
Stars	778
Forks	126
Bundled files	Instructions only
License	CC-BY-4.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Ai Vision AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-ai-vision
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-ai-vision .claude/skills/azure-ai-vision

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Ai Vision in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Ai Vision on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Ai Vision is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure AI Vision Skill

This skill provides expert guidance for Azure AI Vision. Covers decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Decision Making	L33-L39	Guidance on migrating and upgrading Azure Vision Image Analysis and Read OCR apps/containers, including choosing migration paths and moving from v2.x to v3.x APIs.
Limits & Quotas	L40-L50	Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support.
Configuration	L51-L56	Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image input, including environment settings, storage permissions, and connection details.
Integrations & Coding Patterns	L57-L67	How to call and configure Azure Vision/Read APIs and SDKs for OCR, embeddings, thumbnails, background removal, domain models, and live video frame analysis.
Deployment	L68-L71	Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings.

Decision Making

Topic	URL
Choose migration path from Azure Vision Image Analysis	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/migration-options
Migrate to Azure Vision Read OCR container v3.x	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/read-container-migration-guide
Upgrade applications from Read v2.x to v3.0	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/upgrade-api-versions

Limits & Quotas

Topic	URL
Reference taxonomy categories for Azure Vision	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/category-taxonomy
Understand Image Analysis 3.2 categorization taxonomy limits	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-categorizing-images
Interpret adult content detection scores and thresholds	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-adult-content
Use object detection and understand feature limits	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection
Understand Image Analysis 4.0 object detection limits	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection-40
Use people detection and understand its limits	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-people-detection
Check supported languages for Azure Vision OCR	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/language-support

Configuration

Topic	URL
Configure Azure Vision Read OCR containers	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-resource-container-config
Configure Azure Blob Storage for Vision image retrieval	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/blob-storage-search

Integrations & Coding Patterns

Topic	URL
Call domain-specific models with Azure Vision	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-domain-content
Analyze live video frames with Azure Vision API	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/analyze-video
Call and configure Image Analysis 3.2 API	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image
Call and configure Image Analysis 4.0 API	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image-40
Call and configure Azure Vision Read v3.2 API	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-read-api
Use multimodal embeddings for image retrieval	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/image-retrieval
Use OCR client libraries for text extraction	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/quickstarts-sdk/client-library

Deployment

Topic	URL
Install and run Azure Vision Read OCR container	https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-how-to-install-containers

Frequently asked questions

What does the Azure Ai Vision AI skill do?

Why use Azure Ai Vision on TypingMind?

Because you install it once and use it with any model. Azure Ai Vision is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Ai Vision in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-ai-vision. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Ai Vision?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Ai Vision?

As many as you like. As long as a model supports skills, you can use Azure Ai Vision with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Ai Vision AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Azure AI Vision Skill

How to Use This Skill

Category Index

Decision Making

Limits & Quotas

Configuration

Integrations & Coding Patterns

Deployment

Frequently asked questions

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