microsoftdocs/agent-skills

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 designing custom models, calling AnalyzeDocument APIs, running containers/offline, or migrating to v4.0, and other Azure AI Document Intelligence related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Search (use azure-cognitive-search), Azure AI C…

First seen Mar 10, 2026

Installation

$ npx skills add microsoftdocs/agent-skills --skill azure-document-intelligence

Summary

  • 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 designing custom models, calling AnalyzeDocument APIs, running containers/offline, or migrating to v4.0, and other Azure AI Document Intelligence related development tasks.
  • Not for Azure AI Vision (use azure-ai-vision), Azure AI Search (use azure-cognitive-search), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer).

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 737
License LICENSE
Default branch main
Open issues 2
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

CompatibilityRequires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
More metadata
generated_at
2026-08-31
generator
docs2skills/1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 10,649 B
  • docs SUMMARY.md 623 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 165 installs

SKILL.md

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 readfile with the specified lines. For categories with file links (e.g., [security.md](security.md)), use readfile on the linked reference file

IMPORTANT for Agent: If metadata.generatedat is more than 3 months old, suggest the user pull the latest version from the repository. If mcpmicrosoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcpmicrosoftdocs:microsoftdocs_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, scaling with add-ons and batch analysis, container image tags, and supported OCR languages/locales and prebuilt model language coverage.
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

Best Practices

Decision Making

Limits & Quotas

Security

Configuration

Integrations & Coding Patterns

Deployment