Use Case
Vision Recognition Ocr isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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... This guide covers how to deploy Vision Recognition Ocr for your team, standardize prompts, and create shared workflows that everyone can use.
Install Vision Recognition Ocr in your project directory: .claude/skills/vision-recognition-ocr/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Vision Recognition Ocr in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Vision Recognition Ocr
How can my team use Vision Recognition Ocr together?
Set up Vision Recognition Ocr for our project so everyone can use it
Create a shared workflow using Vision Recognition Ocr for our team
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.