無料GitHub で公開

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).

MicrosoftDocs/Agent-Skills

インストール方法を見る

含まれるファイル（1）

SKILL.md10.4 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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

Category	Lines	Description
Troubleshooting	L36-L42	Diagnosing latency, understanding and fixing Document Intelligence API error codes, and handling known service issues and limitations.
Best Practices	L43-L54	Guidance on designing, training, labeling, composing, and maintaining custom/classification/template models to maximize Document Intelligence accuracy and confidence
Decision Making	L55-L61	Choosing the right Document Intelligence model, estimating and optimizing usage/costs, and planning or executing migration to v4.0 from earlier versions.
Limits & Quotas	L62-L71	Capacity limits, quotas, language/locale support, container image tags, and how to scale/batch Document Intelligence workloads and add capacity by pricing tier.
Security	L72-L79	Securing Document Intelligence resources: creating SAS tokens, configuring data-at-rest encryption with customer-managed keys, and using managed identities and VNETs for secure access.
Configuration	L80-L84	How 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 Patterns	L85-L94	Using Document Intelligence APIs/SDKs, interpreting AnalyzeDocument/Markdown outputs, and integrating with Azure Functions or Logic Apps for end-to-end document processing workflows
Deployment	L95-L101	Running Document Intelligence in Docker/offline, deploying the labeling tool, and setting up resilient, disaster‑ready deployments for models and services

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
Reference and resolve Document Intelligence API errors	https://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 Intelligence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0

Best Practices

Topic	URL
Improve Document Intelligence accuracy and confidence	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification models	https://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 models	https://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 models	https://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 Studio	https://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 models	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Document Intelligence custom model lifecycle	https://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 tags	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

Topic	URL
Select the right Azure Document Intelligence model	https://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 cost	https://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 v4.0	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0

Limits & Quotas

Topic	URL
Increase Document Intelligence capacity with add-ons	https://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 tags	https://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/Layout	https://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 models	https://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 scale	https://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 tier	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

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
Manage data-at-rest encryption and CMK 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

Integrations & Coding Patterns

Topic	URL
Use AnalyzeDocument API response objects effectively	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown output	https://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 REST	https://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 APIs	https://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 Intelligence	https://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 Apps	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0

Deployment

Topic	URL
Run Document Intelligence containers offline	https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?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
Implement 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
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

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

ログインしてレビューを書く

同じリポジトリのスキル

概要と使いどころ

azure-active-directory-b2c

無料

Expert knowledge for Azure Active Directory B2C development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building B2C user flows/custom policies, configuring IdPs/MFA, securing APIs, automating CI/CD, or monitoring with Sentinel, and other Azure Active Directory B2C related development tasks. Not for Azure Role-based access control (use azure-rbac), Azure Information Protection (use azure-information-protection), Azure Security (use azure-security), Azure Sentinel (use azure-sentinel).

日本語の概要は準備中です。原文の説明を表示しています。