Azure Custom Vision

Organization

MicrosoftDocs

azure-custom-vision

Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).

Overview

Publisher	MicrosoftDocs
Repository	`Agent-Skills`
Skill name	`azure-custom-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 Custom 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-custom-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-custom-vision .claude/skills/azure-custom-vision

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

Use it in TypingMind

Enable Azure Custom 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 Custom 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 Custom 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 Custom Vision Skill

This skill provides expert guidance for Azure AI Custom Vision. Covers best practices, decision making, limits & quotas, security, 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
Best Practices	L34-L39	Improving Custom Vision model quality with better data collection/labeling strategies and using Smart Labeler to speed and automate image annotation
Decision Making	L40-L45	Guidance on selecting the best Custom Vision domain for your scenario and planning migrations from Custom Vision to other Azure or third‑party vision services.
Limits & Quotas	L46-L50	Details on Custom Vision usage limits per pricing tier, including training/prediction quotas, project and image caps, and how limits affect model training and deployment.
Security	L51-L57	Managing Custom Vision security: encryption with customer-managed keys, secure data handling/export/deletion, and configuring Azure RBAC roles and permissions.
Integrations & Coding Patterns	L58-L68	Using Custom Vision models and APIs in apps: exporting via SDK, running ONNX/TensorFlow in Windows ML/Python, calling classification/detection APIs, and integrating with Azure Storage.
Deployment	L69-L73	Deploying Custom Vision models: copying/backing up projects across regions and exporting models for offline, edge, and mobile (TensorFlow, ONNX, iOS/Android) use.

Best Practices

Topic	URL
Apply Custom Vision data strategies to improve models	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/getting-started-improving-your-classifier
Speed up Custom Vision labeling with Smart Labeler	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/suggested-tags

Decision Making

Topic	URL
Plan migration from Custom Vision to alternative services	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/migration-options
Choose the right Custom Vision domain for your project	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/select-domain

Limits & Quotas

Topic	URL
Review Custom Vision limits and quotas by tier	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/limits-and-quotas

Security

Topic	URL
Configure customer-managed keys for Custom Vision encryption	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/encrypt-data-at-rest
View, export, and delete Custom Vision data securely	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-delete-data
Configure Azure RBAC roles for Custom Vision projects	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/role-based-access-control

Integrations & Coding Patterns

Topic	URL
Integrate Custom Vision ONNX models with Windows ML apps	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/custom-vision-onnx-windows-ml
Run exported Custom Vision TensorFlow models in Python	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-model-python
Export Custom Vision models programmatically with SDK	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-programmatically
Use Custom Vision SDK for image classification	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/image-classification
Call Custom Vision object detection APIs with SDK	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/quickstarts/object-detection
Integrate Custom Vision with Azure Storage queues and blobs	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/storage-integration
Use Custom Vision prediction API to test images	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/use-prediction-api

Deployment

Topic	URL
Copy and back up Custom Vision projects across regions	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/copy-move-projects
Export Custom Vision models for offline and mobile use	https://learn.microsoft.com/en-us/azure/ai-services/custom-vision-service/export-your-model

Frequently asked questions

What does the Azure Custom Vision AI skill do?

Why use Azure Custom Vision on TypingMind?

Because you install it once and use it with any model. Azure Custom 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 Custom Vision in TypingMind?

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

Which AI models can use Azure Custom 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 Custom Vision?

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

Is the Azure Custom 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 Custom Vision Skill

How to Use This Skill

Category Index

Best Practices

Decision Making

Limits & Quotas

Security

Integrations & Coding Patterns

Deployment

Frequently asked questions

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