Back to Skills
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 building, debugging, or optimizing Azure AI Document Intelligence applications. Not for Azure AI services (use azure-ai-services), Azure AI Search (use azure-cognitive-search), Azure AI Vision (use azure-ai-vision), Azure Machine Learning (use azure-machine-learning).

From azure
Install
1
Run in your terminal
$
npx claudepluginhub atc-net/atc-agentic-toolkit
Tool Access

This skill uses the workspace's default tool permissions.

Skill Content

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: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question This skill requires network access to fetch documentation content. Use mcp_microsoftdocs:microsoft_docs_fetch to retrieve full articles.

  • Fallback: Use the built-in WebFetch tool if the Microsoft Learn MCP server is not available.

Category Index

CategoryLinesDescription
TroubleshootingL37-L42Diagnosing and fixing Document Intelligence latency problems, plus interpreting service error codes, causes, and recommended resolutions.
Best PracticesL43-L53Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/classification workflows, and managing the full Document Intelligence model lifecycle
Decision MakingL54-L60Choosing 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 PatternsL61-L65Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments.
Limits & QuotasL66-L75Quotas, rate limits, capacity add-ons, batch processing scale, and supported languages/locales for OCR, prebuilt, and custom Document Intelligence models.
SecurityL76-L83Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources.
ConfigurationL84-L89Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows.
Integrations & Coding PatternsL90-L99Using 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
DeploymentL100-L106Deploying Document Intelligence via Docker/containers, including image tags, offline/disconnected setups, and installing/running the service and sample labeling tool.

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
Interpret and resolve Document Intelligence error codeshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0

Best Practices

TopicURL
Improve Document Intelligence accuracy and confidence scoreshttps://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 custom Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Use labeling tips to optimize Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply best practices for labeling Document Intelligence training datahttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Azure Document Intelligence custom model lifecyclehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Use supervised table tags for custom template modelshttps://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 Document Intelligence model for workflowshttps://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 guidancehttps://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 v3.1https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/v3-1-migration-guide?view=doc-intel-4.0.0

Architecture & Design Patterns

TopicURL
Design 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

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
Review language support for Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?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
Run batch document analysis at scalehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Understand Document Intelligence quotas, limits, and throttlinghttps://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
Configure data-at-rest encryption 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
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

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 layout outputhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Call Document Intelligence models from applicationshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and RESThttps://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 in disconnected environmentshttps://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 releaseshttps://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 containershttps://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 toolhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0
Similar Skills
ui-ux-pro-max

UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.

49.4k
Stats
Parent Repo Stars0
Parent Repo Forks1
Last CommitMar 9, 2026
Actions
View SourceView PluginView on GitHubView README