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vision

Analyze images and PDFs, then generate Markdown descriptions or UI code.

Updated Nov 5, 2025
Search Tags:#data extraction#UI/UX#PDF processing#HTML/CSS generation#image analysis#document understanding#visual data
One-click install
npx skills add https://github.com/flyingtimes/podcast-using-skill --skill vision
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vision
Source: https://github.com/flyingtimes/podcast-using-skill/tree/main/.claude/skills/vision
Command: npx skills add https://github.com/flyingtimes/podcast-using-skill --skill vision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zai, python-dotenv, markitdown, Pillow, and includes scripts (resource) components.

What problem does it solve?

Manually extracting insights from images and PDFs, or recreating UI designs from screenshots, is a labor-intensive process. This skill automates visual content analysis and even UI replication, transforming static visuals into actionable data or editable code, so you can innovate faster.

Core Features & Use Cases

  • Comprehensive Visual Understanding: Provides detailed descriptions, summaries, explanations, and predictive analysis of content within images and PDF documents.
  • Pixel-Perfect UI Replication: Recreates user interface screenshots into functional HTML, CSS, and JavaScript code, accelerating front-end development and design iteration.
  • Multi-Format Document Processing: Seamlessly handles various image formats and converts multi-page PDFs into analyzable images, delivering combined insights.
  • Use Case: Upload a competitor's app screenshot and ask for its HTML/CSS recreation, or submit a complex financial report in PDF format and request a summary of key figures and trends. This skill delivers immediate, actionable outputs, saving designers and analysts countless hours.

Quick Start

Analyze the attached 'dashboard_screenshot.png' and describe its key components, then generate the HTML and CSS to replicate its layout.

Frequently Asked Questions about vision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract text and data from PDF documents automatically?▼

PDF processing converts multi-page documents into analyzable images, then applies visual analysis to extract text, tables, figures, and structured data. This skill handles the conversion and delivers combined insights in Markdown format suitable for reports or further processing.

Can I recreate HTML and CSS from a UI screenshot?▼

Yes. UI screenshot recreation converts image files into functional HTML, CSS, and JavaScript code by analyzing pixel layouts, component positions, and design elements. Upload a screenshot and request the code output to accelerate front-end development without manual design translation.

What image formats can I analyze for descriptions and summaries?▼

Image analysis supports standard visual formats including PNG, JPG, and other common image types, plus multi-page PDF documents converted to images. Each format is processed through visual understanding to generate detailed descriptions, summaries, and explanations in Markdown.

How do I summarize complex financial reports or data-heavy documents?▼

Document understanding analyzes PDF content by converting pages to images and applying comprehensive visual analysis to extract key figures, trends, and insights. Results are delivered as Markdown summaries highlighting critical data points and patterns from the source document.

Can this work with competitor screenshots to analyze UI/UX design?▼

Yes. Visual data extraction from screenshots identifies UI components, layout structure, and design patterns, then generates HTML/CSS recreation or detailed UI/UX analysis. This enables rapid design iteration and competitive analysis without manual inspection.

What output formats does visual analysis provide?▼

Visual content processing emits results in Markdown format optimized for direct presentation, reports, or documentation. UTF-8 encoding ensures compatibility across platforms and supports embedded code blocks for HTML/CSS recreation and structured data extraction.

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