Use Case
Vision Tagger is a powerful AI agent skill that extends your assistant with new capabilities. Tag and annotate images using Apple Vision framework (macOS only). Detects faces, bodies, hands, text (OCR), barcodes, objects, scene labels, and saliency re... This guide walks you through installing Vision Tagger, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Vision Tagger: npx clawhub@latest --dir ~/.claude/skills install vision-tagger
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to documents & notes to trigger Vision Tagger
Review the output and refine your prompt for better results
Combine Vision Tagger with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Vision Tagger
Help me get started with Vision Tagger
What can Vision Tagger do for my documents & notes workflow?
Show me an example of using Vision Tagger
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install vision-taggerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vision-taggerβ 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-tagger/π‘Extract and place the folder at the path above, then restart your agent.