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MicrosoftDocs/azure-ai-vision

MicrosoftDocs

azure-ai-vision

Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).

globalRequires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
generated_at:2026-06-21
generator:docs2skills/1.0.0
New~1.5k
v1.0Saved Jun 26, 2026

Azure AI Vision Skill

This skill provides expert guidance for Azure AI Vision. Covers decision making, limits & quotas, 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
Decision Making L33-L39 Guidance on migrating and upgrading Azure Vision Image Analysis and Read OCR apps/containers, including choosing migration paths and moving from v2.x to v3.x APIs.
Limits & Quotas L40-L50 Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support.
Configuration L51-L56 Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image input, including environment settings, storage permissions, and connection details.
Integrations & Coding Patterns L57-L67 How to call and configure Azure Vision/Read APIs and SDKs for OCR, embeddings, thumbnails, background removal, domain models, and live video frame analysis.
Deployment L68-L71 Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings.

Decision Making

Topic URL
Choose migration path from Azure Vision Image Analysis https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/migration-options
Migrate to Azure Vision Read OCR container v3.x https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/read-container-migration-guide
Upgrade applications from Read v2.x to v3.0 https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/upgrade-api-versions

Limits & Quotas

Topic URL
Reference taxonomy categories for Azure Vision https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/category-taxonomy
Understand Image Analysis 3.2 categorization taxonomy limits https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-categorizing-images
Interpret adult content detection scores and thresholds https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-adult-content
Use object detection and understand feature limits https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection
Understand Image Analysis 4.0 object detection limits https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-object-detection-40
Use people detection and understand its limits https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-people-detection
Check supported languages for Azure Vision OCR https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/language-support

Configuration

Topic URL
Configure Azure Vision Read OCR containers https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-resource-container-config
Configure Azure Blob Storage for Vision image retrieval https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/blob-storage-search

Integrations & Coding Patterns

Topic URL
Call domain-specific models with Azure Vision https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-detecting-domain-content
Analyze live video frames with Azure Vision API https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/analyze-video
Call and configure Image Analysis 3.2 API https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image
Call and configure Image Analysis 4.0 API https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-analyze-image-40
Call and configure Azure Vision Read v3.2 API https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/call-read-api
Use multimodal embeddings for image retrieval https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/image-retrieval
Use OCR client libraries for text extraction https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/quickstarts-sdk/client-library

Deployment

Topic URL
Install and run Azure Vision Read OCR container https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-how-to-install-containers
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Overall Score

68/100

Grade

C

Adequate

Safety

78

Quality

62

Clarity

75

Completeness

55

Summary

This skill provides expert guidance for Azure AI Vision development, covering decision-making, limits & quotas, configuration, integrations, coding patterns, and deployment. It combines a structured index of topics with links to Microsoft Learn documentation, using mcp_microsoftdocs or fetch_webpage to retrieve remote content on demand.

Detected Capabilities

documentation lookupremote webpage fetch (microsoft learn)network accessmcp tool invocation

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

azure ai visionimage analysis apiread ocr containersmart crop thumbnailbackground removalvideo frame analysismigrate vision apivision api limits

Risk Signals

INFO

Network access to Microsoft Learn documentation via mcp_microsoftdocs or fetch_webpage

"How to Use This Skill" section
INFO

External URL references to learn.microsoft.com

Category Index tables (all sections)

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.comlearn.microsoft.com

Use Cases

  • Migrating Image Analysis or Read OCR applications between API versions
  • Understanding Azure Vision service limits, quotas, and taxonomies (categories, object detection constraints, language support)
  • Configuring Vision Read OCR containers and Blob Storage integrations
  • Writing API calls and SDK code for image analysis, OCR, embeddings, video frame analysis, and background removal
  • Deploying and running Vision Read OCR containers locally or on-premises

Quality Notes

  • Skill is well-structured with clear category index providing agent guidance on where to find content
  • Uses line-range references (L33-L39, etc.) but SKILL.md file does not contain content at those lines — the skill only provides an index and documentation links, not actual detailed content
  • Instructions for agents are explicit: use read_file with line ranges, or fetch remote docs via mcp_microsoftdocs or fetch_webpage
  • Frontmatter metadata includes generated_at timestamp and staleness check instruction — agent should warn if >3 months old
  • Skill has a clear scope boundary: explicitly excludes Azure Custom Vision, Video Indexer, Document Intelligence, and Immersive Reader (directs to separate skills)
  • Error handling: provides fallback behavior if mcp_microsoftdocs is unavailable (use fetch_webpage instead)
  • Negative: the referenced line ranges in the Category Index do not correspond to actual content in the SKILL.md file itself — this is a content generation pattern (docs2skills), suggesting the skill is a template or stub. The skill does not contain the actual decision-making, limits, configuration, or coding pattern details — it only indexes and directs agents to fetch them remotely
  • Negative: no local reference files provided (mentioned possible [security.md](security.md) pattern but no such file exists)
Model: claude-haiku-4-5-20251001Analyzed: Jun 26, 2026

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MicrosoftDocs/azure-ai-vision | SkillRepo