Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
azure-ai-vision - Skill - OpenSmartRoute
Skillv1.0.0
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 cont
Imported from deanable/adam (.claude/skills/azure-ai-vision/SKILL.md). Install upstream with npx skills add deanable/adam --skill azure-ai-vision. Copyright stays with the author.
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: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question
This skill requires network access to fetch documentation content.
Use mcp_microsoftdocs:microsoft_docs_fetch to retrieve full articles.
Fallback: Use the built-in WebFetch tool if the Microsoft Learn MCP server is not available.
Category Index
Category
Lines
Description
Decision Making
L27-L32
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
L34-L44
Limits, thresholds, and taxonomies for Image Analysis: category lists, adult content scores, object/people detection constraints, smart-crop behavior, and OCR language support.
Configuration
L46-L50
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
L52-L61
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
L63-L66
Installing, configuring, and running the Azure AI Vision Read OCR container locally or on-premises, including prerequisites, deployment steps, and runtime settings.
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'
Manifest
An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
deanable-adam-azure-ai-vision.ocm.jsonjson
{
"ocm": "1",
"id": "deanable-adam-azure-ai-vision",
"kind": "skill",
"name": "azure-ai-vision",
"description": "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, Blob Storage image access, smart-crop thumbnails, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence).",
"publisher": "deanable",
"version": "1.0.0",
"capabilities": {
"domains": [
"general"
],
"tags": [
"skill-md",
"github"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"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, Blob Storage image access, smart-crop thumbnails, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence)."
],
"primary": false,
"metadata": {
"source": {
"provider": "github",
"repository": "https://github.com/deanable/adam",
"path": ".claude/skills/azure-ai-vision/SKILL.md",
"ref": "5663484045e080be70a8aff5e2fcb42682078096",
"url": "https://github.com/deanable/adam/blob/5663484045e080be70a8aff5e2fcb42682078096/.claude/skills/azure-ai-vision/SKILL.md",
"key": "deanable/adam/.claude/skills/azure-ai-vision/SKILL.md"
},
"compatibility": "Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or WebFetch to retrieve documentation."
},
"instructions": "# Azure AI Vision Skill\n\nThis 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.\n\n## How to Use This Skill\n\n> **IMPORTANT for Agent**: This file may be large. Use the **Category Index** below to locate relevant sections, then use `read_file` with specific line ranges (e.g., `L136-L144`) to read the sections needed for the user's question\nThis skill requires **network access** to fetch documentation co",
"cost": {
"context_tokens": 1326
}
}
Fetch it by URL: GET /api/v1/registry/deanable-adam-azure-ai-vision/manifest?version=1.0.0
Reviews
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