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.

25 stars

Best use case

Azure AI Vision Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using Azure AI Vision Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/azure-ai-vision/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/MicrosoftDocs/Agent-Skills/azure-ai-vision/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/azure-ai-vision/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Azure AI Vision Skill Compares

Feature / AgentAzure AI Vision SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

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 | Guides for planning and executing migrations and upgrades between Azure Vision Image Analysis and Read OCR versions/containers, including breaking changes and app update steps. |
| Limits & Quotas | L40-L51 | Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support. |
| Configuration | L52-L57 | Configuring Vision Read OCR containers and setting up Azure Blob Storage access for image retrieval, including environment settings, networking, and storage connection details. |
| Integrations & Coding Patterns | L58-L68 | 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 | L69-L72 | 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 |
|-------|-----|
| Plan migration 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 smart-cropped thumbnails with Image Analysis 4.0 | https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-generate-thumbnails-40 |
| 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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