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
Best Practices
Decision Making
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment