Claude Photo Manager

• Resize images for different use cases
• Optimize image file sizes
• Convert between image formats
• Apply filters and adjustments
• Crop and edit images programmatically

3. Visual Content Analysis

• Extract text from images (OCR)
• Identify UI components in screenshots
• Analyze color palettes and design elements
• Compare two images for differences
• Detect objects and features in photos

Upload Methods

Method 1: Direct Upload (Recommended)

# User can simply drag and drop or select image files
# Claude Code will automatically accept and analyze them

Method 2: File Path Reference

# Reference local files for Claude to read
"Por favor analizá esta imagen: /path/to/image.png"

Method 3: Base64 Encoding (for small images)

# Provide base64 encoded image data
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."

Common Use Cases and Solutions

Use Case 1: UI Bug Analysis

When users report visual bugs:

Input: Screenshots of the issue Analysis Steps:

1. Identify UI components involved
2. Analyze layout and positioning
3. Check for visual inconsistencies
4. Suggest CSS/React Native fixes
5. Compare with expected design

Example Response: "Analizando el screenshot que subiste, veo que hay un problema de alineación en el componente de tareas. El botón de eliminar está cortado y el texto no tiene suficiente espacio de padding. Te sugiero ajustar el CSS así:"

Use Case 2: Design Review

When users want feedback on designs:

Input: Mockups, wireframes, or UI designs Analysis Steps:

1. Evaluate visual hierarchy
2. Check spacing and proportions
3. Analyze color contrast and accessibility
4. Suggest improvements
5. Verify consistency with design system

Use Case 3: Error Debugging

When users share error screenshots:

Input: Error messages, console logs, or crash reports Analysis Steps:

1. Extract and transcribe error text
2. Identify error type and source
3. Search for related code issues
4. Provide specific fixes
5. Suggest debugging approaches

Use Case 4: Code Documentation

When users share code screenshots:

Input: Code snippets, documentation images Analysis Steps:

1. Transcribe text from images
2. Analyze code structure
3. Identify potential issues
4. Suggest improvements
5. Convert to editable text format

Image Processing Scripts

Image Optimization Script

# Optimize images for web use
python .claude/skills/claude-photo-manager/scripts/optimize_image.py input.jpg output.jpg --quality 80 --max-width 1200

Screenshot Analyzer

# Analyze UI components in screenshots
python .claude/skills/claude-photo-manager/scripts/analyze_screenshot.py screenshot.png

Image Format Converter

# Convert between image formats
python .claude/skills/claude-photo-manager/scripts/convert_image.py input.png output.webp

OCR Text Extractor

# Extract text from images
python .claude/skills/claude-photo-manager/scripts/extract_text.py image.png --output extracted_text.txt

Best Practices for Image Analysis

For Screenshots:

1. High Resolution: Ensure screenshots are clear and readable
2. Context Included: Show enough surrounding context
3. Multiple Views: Include before/after when relevant
4. Annotations: Mark specific areas of concern if possible

For Designs:

1. Actual Size: Use real dimensions when possible
2. Multiple States: Show different UI states (hover, active, disabled)
3. Responsive Views: Include mobile and desktop versions
4. Color References: Include hex codes or color values

For Bug Reports:

1. Reproduction Steps: Include screenshots of each step
2. Expected vs Actual: Show both states
3. Browser/Device Info: Include environment details
4. Console Errors: Include relevant error messages

Integration with Development Workflow

STEEB App Integration:

When analyzing STEEB app images:

• Check for component consistency
• Verify dark/light mode compatibility
• Analyze task list performance
• Review social feed layouts
• Examine settings panel organization

Code Review Integration:

When reviewing code-related images:

• Extract and format code snippets
• Check for syntax errors
• Suggest optimizations
• Verify coding standards compliance

Documentation Enhancement:

When processing documentation images:

• Extract text for searchable content
• Convert diagrams to code equivalents
• Create markdown documentation
• Generate alt text for accessibility

Error Handling and Troubleshooting

Common Issues:

1. File Size Too Large: Compress or optimize images
2. Unsupported Format: Convert to supported format
3. Corrupted Files: Attempt repair or request new files
4. Poor Quality: Request higher resolution images
5. Privacy Concerns: Redact sensitive information

Error Recovery:

# Validate image files
python .claude/skills/claude-photo-manager/scripts/validate_image.py image.png

# Attempt image repair
python .claude/skills/claude-photo-manager/scripts/repair_image.py corrupted_image.jpg

Performance Considerations

For Large Images:

• Implement progressive loading
• Use image compression
• Consider tiling for very large images
• Cache processed results

For Batch Processing:

• Process images in parallel when possible
• Implement queuing for multiple uploads
• Use memory-efficient algorithms
• Provide progress feedback

References and Resources

• Image format specifications and best practices
• Claude Code file upload limitations
• UI/UX design principles and guidelines
• Accessibility standards for visual content
• Privacy and security considerations for images

Assets and Templates

Analysis Templates:

• UI bug report template
• Design review checklist
• Error analysis framework
• Performance audit template

Processing Tools:

• Image comparison utilities
• Color palette extractors
• Component detection scripts
• Text extraction tools37:["$","$L3e",null,{"content":"$3f","frontMatter":{"name":"claude-photo-manager","description":"Handle photo uploads, analysis, and processing in Claude Code. This skill should be used when users want to upload images, analyze screenshots, process photos, or work with visual content in Claude Code conversations."}}]