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microsoftdocs/agent-skills192 installs

azure-document-intelligence

Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument APIs, custom/classification models, containers, managed identities, or v4.0 migrations, and other Azure AI Document Intelligence related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Vision (use azure-ai-vision), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer).

How do I install this agent skill?

npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-document-intelligence
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides technical guidance for Azure Document Intelligence development by referencing official Microsoft documentation. It uses trusted tools and domains to retrieve content and does not contain any malicious code or dangerous system capabilities.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerpass

    1/1 file flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Azure AI Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. Covers troubleshooting, best practices, decision making, 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), 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

CategoryLinesDescription
TroubleshootingL36-L42Diagnosing latency, understanding and fixing Document Intelligence API error codes, and handling known service issues and limitations.
Best PracticesL43-L54Guidance on designing, training, labeling, composing, and maintaining custom/classification/template models to maximize Document Intelligence accuracy and confidence
Decision MakingL55-L61Choosing the right Document Intelligence model, estimating and optimizing usage/costs, and planning or executing migration to v4.0 from earlier versions.
Limits & QuotasL62-L71Capacity limits, quotas, language/locale support, container image tags, and how to scale/batch Document Intelligence workloads and add capacity by pricing tier.
SecurityL72-L79Securing Document Intelligence resources: creating SAS tokens, configuring data-at-rest encryption with customer-managed keys, and using managed identities and VNETs for secure access.
ConfigurationL80-L84How to configure and run Azure Document Intelligence in containers, including environment settings, networking, storage, licensing, and deployment options for on-premises or hybrid scenarios.
Integrations & Coding PatternsL85-L94Using Document Intelligence APIs/SDKs, interpreting AnalyzeDocument/Markdown outputs, and integrating with Azure Functions or Logic Apps for end-to-end document processing workflows
DeploymentL95-L101Running Document Intelligence in Docker/offline, deploying the labeling tool, and setting up resilient, disaster‑ready deployments for models and services

Troubleshooting

TopicURL
Troubleshoot Azure Document Intelligence latency issueshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
Reference and resolve Document Intelligence API errorshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0
Handle known issues in Azure Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0

Best Practices

TopicURL
Improve Document Intelligence accuracy and confidencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-classifier?view=doc-intel-4.0.0
Build and train Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Create and compose Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0
Apply labeling best practices in Document Intelligence Studiohttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply labeling best practices for high-accuracy custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Document Intelligence custom model lifecyclehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Train template models with supervised table tagshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

TopicURL
Select the right Azure Document Intelligence modelhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
Estimate Document Intelligence usage and costhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/estimate-cost?view=doc-intel-4.0.0
Decide and migrate to Document Intelligence v4.0https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0

Limits & Quotas

TopicURL
Increase Document Intelligence capacity with add-onshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
Reference Document Intelligence container image tagshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
Check OCR language and locale support for Read/Layouthttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-4.0.0
Review language support for Document Intelligence prebuilt modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
Use Document Intelligence batch analysis at scalehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Apply Document Intelligence quotas and limits by tierhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

Security

TopicURL
Create SAS tokens for Document Intelligence storagehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
Manage data-at-rest encryption and CMK for Document Intelligencehttps://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 VNETshttps://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 Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0

Configuration

TopicURL
Configure Azure Document Intelligence containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0

Integrations & Coding Patterns

TopicURL
Use AnalyzeDocument API response objects effectivelyhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown outputhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and RESThttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Use Document Intelligence SDKs and REST APIshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
Process documents with Azure Functions and Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/azure-function?view=doc-intel-4.0.0
Integrate Document Intelligence with Azure Logic Appshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0

Deployment

TopicURL
Run Document Intelligence containers offlinehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
Install and run Document Intelligence Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
Implement disaster recovery for Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0
Deploy the Document Intelligence Sample Labeling toolhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

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