Vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Use when users ask Vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Supports local path, URL, and...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install vision-recognition-ocrOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vision-recognition-ocrβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/vision-recognition-ocr/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Vision Recognition Ocr can do for your AI workflow
Vehicle/animal/plant directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Vision Recognition Ocr
Help me get started with Vision Recognition Ocr
Explains what Vision Recognition Ocr does, walks through the setup, and runs a quick demo based on your current project
Use Vision Recognition Ocr to vehicle/animal/plant recognition plus OCR for screenshots, photos, ...
Invokes Vision Recognition Ocr with the right parameters and returns the result directly in the conversation
What can I do with Vision Recognition Ocr in my design & creative workflow?
Lists the top use cases for Vision Recognition Ocr, with example commands for each scenario
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Vision Recognition Ocr extends your AI assistant with the ability to vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Use when users ask Vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Supports local path, URL, and... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Vision Recognition Ocr as its underlying capability.
Vision Recognition Ocr works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Vision Recognition Ocr once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Vision Recognition Ocr takes about two minutes. Place the skill at `~/.claude/skills/vision-recognition-ocr/` (personal, all projects) or `.claude/skills/vision-recognition-ocr/` (project-specific), then restart your AI client. From that point, typing `/vision-recognition-ocr` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Vision Recognition Ocr has 808 installs and is part of the growing Design & Creative skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/vision-recognition-ocr/ for personal use (all projects), or .claude/skills/vision-recognition-ocr/ for project-specific use. Restart your AI client, then invoke with /vision-recognition-ocr or let the AI discover it automatically.
Vision Recognition Ocr supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Vision Recognition Ocr is free to install. Check the repository for licensing information.
Vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Use when users ask Vehicle/animal/plant recognition plus OCR for screenshots, photos, invoices, and tables. Supports local path, URL, and...
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