Agent skill · software engineering · membranedev
azure-ai-vision
Azure AI Vision integration. Manage data, records, and automate workflows. Use when the user wants to interact with Azure AI Vision data.
Why this skill is useful
Provides specific commands and workflows for integrating with Azure AI Vision that the AI wouldn't reliably generate on its own.
What it needs
Requires @membranehq/cli installed locally. Requires membrane account access. About 4k tokens when loaded. Last updated 2026-04-28. 253 stars on the source repository.
What this skill does
Azure AI Vision Azure AI Vision is a cloud-based API for analyzing images and videos, extracting insights from their content. Developers use it to build intelligent applications that can identify objects, faces, and text, as well as understand scenes and activities. It's used across industries for tasks like image recognition, content moderation, and accessibility. Official docs: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/ Azure AI Vision Overview Image Analysis Image Analyze Image Optical Character Recognition (OCR) Image Read Text via OCR Working with Azure AI Vision This skill uses the Membrane CLI to interact with Azure AI Vision. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing. Install the CLI Install the Membrane CLI so you can run membrane from the terminal: Authentication This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available. Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with: Add --json to any command for machine-readable JSON output. Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness Connecting to Azure AI Vision Use membrane connection ensure to find or create a connection by app URL or domain: The user completes authentication in the browser. The output contains the new connection id. This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically. If the returned connection has state: "READY", skip to Step 2. 1b. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills membranedev/azure-ai-vision