Azure Content Understanding

Organization

MicrosoftDocs

azure-content-understanding

Expert knowledge for Azure Content Understanding in Foundry Tools development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building Content Understanding analyzers, RAG document flows, agentic workflows, REST/SDK calls, or GA migrations, and other Azure Content Understanding in Foundry Tools related development tasks. Not for Content Safety in Foundry Control Plane (use azure-content-safety), Azure Speech in Foundry Tools (use azure-speech), Azure AI Vision (use azure-ai-vision), Azure AI Document Intelligence (use azure-document-intelligence).

Overview

Publisher	MicrosoftDocs
Repository	`Agent-Skills`
Skill name	`azure-content-understanding`
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 Content Understanding 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-content-understanding
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-content-understanding

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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-content-understanding .claude/skills/azure-content-understanding

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

Use it in TypingMind

Enable Azure Content Understanding 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 Content Understanding 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 Content Understanding 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 Content Understanding in Foundry Tools Skill

This skill provides expert guidance for Azure Content Understanding in Foundry Tools. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. 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
Troubleshooting	L36-L40	Using diagnostics from the Content Understanding REST API to investigate failures, interpret error codes, and troubleshoot processing or configuration issues.
Best Practices	L41-L46	Improving Content Understanding accuracy using layout, labels, and feedback, plus using confidence scores and grounding to validate and refine document analysis results.
Decision Making	L47-L55	Guidance on choosing Azure AI/Foundry tools, model deployments, and Studio vs Foundry; migrating Content Understanding from preview to GA; and estimating/optimizing pricing.
Architecture & Design Patterns	L56-L62	Guidance on when to use agentic mode, how to design RAG-based document solutions, and how to build RPA workflows using Azure Content Understanding.
Limits & Quotas	L63-L68	Guidance on safe use of synchronous Content Understanding calls plus detailed quotas, rate limits, and throughput constraints for Foundry Tools.
Security	L69-L74	Configuring security for Content Understanding: setting guardrails on analyzer outputs, securing analyzers and data, access control, and safe handling of sensitive content.
Configuration	L75-L88	Configuring and customizing Content Understanding analyzers, classifiers, workflows, and audiovisual/Markdown outputs, including creating, copying, and managing custom analyzers and Foundry resources.
Integrations & Coding Patterns	L89-L94	Patterns and code samples for calling Content Understanding via REST/SDKs, integrating with Microsoft Agent Framework/LangChain, and implementing agentic workflows.

Troubleshooting

Topic	URL
Use diagnostics from Content Understanding REST API	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/retrieve-diagnostics

Best Practices

Topic	URL
Apply best practices for Content Understanding accuracy	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices
Improve document analysis with confidence and grounding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement

Decision Making

Topic	URL
Choose Azure AI tools for document processing	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool
Choose model deployments for Content Understanding analyzers	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments
Choose between Content Understanding Studio and Foundry	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio
Migrate Content Understanding from preview to GA	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga
Estimate and optimize Content Understanding pricing	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer

Architecture & Design Patterns

Topic	URL
Decide when to use agentic mode for documents	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/agentic-mode
Design a RAG solution with Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/build-rag-solution
Design RPA workflows using Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/robotic-process-automation

Limits & Quotas

Topic	URL
Use synchronous Content Understanding operations safely	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-synchronous-rest-api
Review Content Understanding quotas and limits in Foundry Tools	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits

Security

Topic	URL
Configure guardrails for Content Understanding results	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/guardrails
Secure Content Understanding analyzers and data	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications

Configuration

Topic	URL
Configure and customize Content Understanding analyzers	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference
Configure Content Understanding classifier and splitting	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/classifier
Interpret Content Understanding Markdown document output	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown
Configure classification and routing workflows in Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/classification-content-understanding-studio
Copy custom analyzers within and across resources	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/copy-analyzers
Create and manage Microsoft Foundry resources	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/create-multi-service-resource
Build and refine custom analyzers in Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/customize-analyzer-content-understanding-studio
Create custom analyzers via Content Understanding REST API	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer
Configure audiovisual analysis and structured output	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements
Use Markdown output for audiovisual content	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown

Integrations & Coding Patterns

Topic	URL
Integrate Content Understanding with Microsoft Agent Framework	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/agent-framework
Use Content Understanding as a LangChain document loader	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/langchain
Call Content Understanding REST APIs and SDKs	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api

Frequently asked questions

What does the Azure Content Understanding AI skill do?

Why use Azure Content Understanding on TypingMind?

Because you install it once and use it with any model. Azure Content Understanding 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 Content Understanding in TypingMind?

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

Which AI models can use Azure Content Understanding?

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 Content Understanding?

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

Is the Azure Content Understanding 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 Content Understanding in Foundry Tools Skill

How to Use This Skill

Category Index

Troubleshooting

Best Practices

Decision Making

Architecture & Design Patterns

Limits & Quotas

Security

Configuration

Integrations & Coding Patterns

Frequently asked questions

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