Agent skill · AI & Agents

vision-multimodal

Vision and multimodal capabilities for Claude including image analysis, PDF processing, and document understanding. Activate for image input, base64 encoding, multiple images, and visual analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill vision-multimodal-lobbi-docs-claude-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit-Glob-Grep
Requires: - llm-integration
Path: skills/ai-llm/vision-multimodal-lobbi-docs-claude-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Vision & Multimodal Skill Leverage Claude's vision capabilities for image analysis, document processing, and multimodal understanding. ## When to Use This Skill - Image analysis and description - Document/PDF processing - Screenshot analysis - OCR-like text extraction - Visual comparison - Chart and diagram interpretation ## Supported Formats | Format | Status | Best For | |--------|--------|----------| | JPEG | ✓ | Photos, natural scenes | | PNG | ✓ | Screenshots, UI, text | | GIF | ✓ | Animated (first frame) | | WebP | ✓ | Modern, compressed | | PDF | ✓ | Documents (via Files API) | ## Image Size Guidelines - **Minimum:** 200 pixels (smaller = reduced accuracy) - **Optimal:** 1000x1000 pixels - **Maximum:** 8000x8000 pixels - **Token cost:** ~(width × height) / 1000 - **Tip:** Resize to 1568px max dimension for 30-50% token savings ## Core Patterns ### Pattern 1: Single Image Analysis ```python import anthropic import base64 client = anthropic.Anthropic() # Load and encode image with open("image.jpg", "rb") as f: image_data = base64.standard_b64encode(f.read()).decode("utf-8") response = client.messages.create( model="claude-sonnet-4-20250514", max_tokens=1024, messages=[{ "rol

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Supported Formats
  3. Image Size Guidelines
  4. Core Patterns
  5. Pattern 1: Single Image Analysis
  6. Pattern 2: Image from URL
  7. Pattern 3: Multiple Images
  8. Pattern 4: Few-Shot with Images
  9. Pattern 5: PDF Processing
  10. Prompt Engineering for Vision
  11. Strategy 1: Role Assignment
  12. Strategy 2: Step-by-Step Thinking
  13. Strategy 3: Structured Output
  14. Image Optimization
Ships with 1 file
  • metadata.json
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About this skill
What does the vision-multimodal skill do?

Vision and multimodal capabilities for Claude including image analysis, PDF processing, and document understanding. Activate for image input, base64 encoding, multiple images, and visual analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill vision-multimodal-lobbi-docs-claude-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going