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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).

数据库与数据777skills/azure-ai-vision/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/microsoftdocs/agent-skills/azure-ai-vision/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

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

CategoryLinesDescription
Decision MakingL33-L39Guidance 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 & QuotasL40-L50Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support.
ConfigurationL51-L56Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image input, including environment settings, storage permissions, and connection details.
Integrations & Coding PatternsL57-L67How to call and configure Azure Vision/Read APIs and SDKs for OCR, embeddings, thumbnails, background removal, domain models, and live video frame analysis.
DeploymentL68-L71Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings.

Decision Making

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

Limits & Quotas

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

Configuration

TopicURL
Configure Azure Vision Read OCR containershttps://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-resource-container-config
Configure Azure Blob Storage for Vision image retrievalhttps://learn.microsoft.com/en-us/azure/ai-services/computer-vision/how-to/blob-storage-search

Integrations & Coding Patterns

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

Deployment

TopicURL
Install and run Azure Vision Read OCR containerhttps://learn.microsoft.com/en-us/azure/ai-services/computer-vision/computer-vision-how-to-install-containers

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