Agent skill
azure-document-intelligence
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument/Markdown APIs, custom models, containers/Docker, SAS/managed identity, or VNets, and other Azure AI Document Intelligence related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Language (use azure-language-service), Azure AI Immersive Reader (use azure-immersive-reader).
Install this agent skill to your Project
npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-document-intelligence
Metadata
Additional technical details for this skill
- generator
- docs2skills/1.0.0
- generated at
- 2026-03-16
SKILL.md
Azure AI Document Intelligence Skill
This skill provides expert guidance for Azure AI Document Intelligence. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L37-L42 | Diagnosing and fixing Document Intelligence latency problems, plus interpreting service error codes, causes, and recommended resolutions. |
| Best Practices | L43-L53 | Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/classification workflows, and managing the full Document Intelligence model lifecycle |
| Decision Making | L54-L60 | Choosing the right Document Intelligence model, understanding version changes, and migrating or updating apps to API v3.1 based on changelog and migration guidance |
| Architecture & Design Patterns | L61-L65 | Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments. |
| Limits & Quotas | L66-L75 | Quotas, rate limits, capacity add-ons, batch processing scale, and supported languages/locales for OCR, prebuilt, and custom Document Intelligence models. |
| Security | L76-L83 | Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources. |
| Configuration | L84-L89 | Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows. |
| Integrations & Coding Patterns | L90-L99 | Using SDKs/REST to call Document Intelligence, handle AnalyzeDocument/Markdown outputs, and integrate with apps, Azure Functions, and Logic Apps for end‑to‑end document workflows |
| Deployment | L100-L106 | Deploying Document Intelligence via Docker/containers, including image tags, offline/disconnected setups, and installing/running the service and sample labeling tool. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot Azure Document Intelligence latency issues | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0 |
| Interpret and resolve Document Intelligence error codes | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0 |
Best Practices
Decision Making
| Topic | URL |
|---|---|
| Select the right Document Intelligence model for workflows | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0 |
| Use Document Intelligence changelog and migration guidance | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/changelog-release-history?view=doc-intel-4.0.0 |
| Migrate Document Intelligence apps to API v3.1 | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/v3-1-migration-guide?view=doc-intel-4.0.0 |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Design disaster recovery for Document Intelligence models | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0 |
Limits & Quotas
Security
| Topic | URL |
|---|---|
| Create SAS tokens for Document Intelligence storage | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0 |
| Configure data-at-rest encryption for Document Intelligence | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest?view=doc-intel-4.0.0 |
| Secure Document Intelligence with managed identities and VNets | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities-secured-access?view=doc-intel-4.0.0 |
| Configure managed identities for Document Intelligence | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0 |
Configuration
| Topic | URL |
|---|---|
| Configure Azure Document Intelligence containers | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0 |
| Create and compose Document Intelligence custom models | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0 |
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Run Document Intelligence containers in disconnected environments | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0 |
| Use Document Intelligence container image tags and releases | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0 |
| Install and run Document Intelligence Docker containers | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0 |
| Deploy the Document Intelligence Sample Labeling tool | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0 |
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