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Managing Media

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ancoleman
managing-media

Implements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies (compression, responsive images, lazy loading, CDN). Use when handling files, displaying media, or building rich content experiences.

Overview

Publisherancoleman
Repositoryai-design-components
Skill namemanaging-media
Stars
523
Forks
73
Bundled files
39
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 39 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ancoleman on GitHub. Read the source before you install it.

Installation

Install the Managing Media AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ancoleman/ai-design-components.git /tmp/ai-design-components
mkdir -p .claude/skills
cp -r /tmp/ai-design-components/skills/managing-media .claude/skills/managing-media
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Managing Media in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Managing Media on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Managing Media is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Managing Media & Files

Purpose

This skill provides systematic patterns for implementing media and file management components across all formats (images, videos, audio, documents). It covers upload workflows, display patterns, player controls, optimization strategies, and accessibility requirements to ensure performant, accessible, and user-friendly media experiences.

When to Use

Activate this skill when:

  • Implementing file upload (single, multiple, drag-and-drop)
  • Building image galleries, carousels, or lightboxes
  • Creating video or audio players
  • Displaying PDF or document viewers
  • Optimizing media for performance (responsive images, lazy loading)
  • Handling large file uploads (chunked, resumable)
  • Integrating cloud storage (S3, Cloudinary)
  • Implementing media accessibility (alt text, captions, transcripts)
  • Designing empty states for missing media

Quick Decision Framework

Select implementation based on media type and requirements:

Images                  → Gallery pattern + lazy loading + responsive srcset
Videos                  → Player with controls + captions + adaptive streaming
Audio                   → Player with waveform + playlist support
Documents (PDF)         → Viewer with navigation + search + download
File Upload (<10MB)     → Basic drag-drop with preview
File Upload (>10MB)     → Chunked upload with progress + resume
Multiple Files          → Queue management + parallel uploads

For detailed selection criteria, reference references/implementation-guide.md.

File Upload Patterns

Basic Upload (<10MB)

For small files with simple requirements:

  • Drag-and-drop zone with visual feedback
  • Click to browse fallback
  • File type and size validation
  • Preview thumbnails for images
  • Progress indicator
  • Reference references/upload-patterns.md

Example: examples/basic-upload.tsx

Advanced Upload (>10MB)

For large files requiring reliability:

  • Chunked uploads (resume on failure)
  • Parallel uploads for multiple files
  • Upload queue management
  • Cancel and retry controls
  • Client-side compression
  • Reference references/advanced-upload.md

Example: examples/chunked-upload.tsx

Image-Specific Upload

For image files with editing requirements:

  • Crop and rotate tools
  • Client-side resize before upload
  • Format conversion (PNG → WebP)
  • Alt text input field (accessibility)
  • Reference references/image-upload.md

Example: examples/image-upload-crop.tsx

Image Display Components

Image Gallery

For collections of images:

  • Grid or masonry layout
  • Lazy loading (native or custom)
  • Lightbox on click
  • Zoom and pan controls
  • Keyboard navigation (arrow keys)
  • Responsive design
  • Reference references/gallery-patterns.md

Example: examples/image-gallery.tsx

Carousel/Slider

For sequential image display:

  • Auto-play (optional, pausable for accessibility)
  • Dot or thumbnail navigation
  • Touch/swipe support
  • ARIA roles for accessibility
  • Infinite loop option
  • Reference references/carousel-patterns.md

Example: examples/carousel.tsx

Image Optimization

Essential optimization strategies:

  • Responsive images using srcset and sizes
  • Modern formats (WebP with JPG fallback)
  • Progressive JPEGs
  • Blur-up placeholders
  • CDN integration
  • Reference references/image-optimization.md

Video Components

Video Player

For custom video playback:

  • Custom controls or native
  • Play/pause, volume, fullscreen
  • Captions/subtitles (VTT format)
  • Playback speed control
  • Picture-in-picture support
  • Keyboard shortcuts
  • Reference references/video-player.md

Example: examples/video-player.tsx

Video Optimization

Performance strategies for video:

  • Adaptive streaming (HLS, DASH)
  • Thumbnail preview on hover
  • Lazy loading off-screen videos
  • Preload strategies (metadata, auto, none)
  • Multiple quality levels
  • Reference references/video-optimization.md

Audio Components

Audio Player

For audio playback:

  • Play/pause, seek, volume controls
  • Waveform visualization (optional)
  • Playlist support
  • Download option
  • Playback speed control
  • Visual indicators for accessibility
  • Reference references/audio-player.md

Example: examples/audio-player.tsx

Document Viewers

PDF Viewer

For PDF document display:

  • Page navigation (prev/next, jump to page)
  • Zoom in/out controls
  • Text search within document
  • Download and print options
  • Thumbnail sidebar
  • Reference references/pdf-viewer.md

Example: examples/pdf-viewer.tsx

Office Document Preview

For DOCX, XLSX, PPTX files:

  • Read-only preview or editable
  • Cloud-based rendering (Google Docs Viewer, Office Online)
  • Local rendering (limited support)
  • Download option
  • Reference references/office-viewer.md

Performance Optimization

File Size Guidelines

Validate client-side before upload:

  • Images: <5MB recommended
  • Videos: <100MB for web, larger for cloud
  • Audio: <10MB
  • Documents: <25MB
  • Provide clear error messages
  • Suggest compression tools

Image Optimization Checklist

bash
# Generate optimized image set
python scripts/optimize_images.py --input image.jpg --formats webp,jpg,avif

Strategies:

  • Compress before upload (client or server)
  • Generate multiple sizes (thumbnails, medium, large)
  • Use responsive srcset for device targeting
  • Convert to modern formats (WebP, AVIF)
  • Serve via CDN with edge caching

Reference references/performance-optimization.md for complete guide.

Video Optimization Checklist

Strategies:

  • Transcode to multiple qualities (360p, 720p, 1080p)
  • Implement adaptive bitrate streaming
  • Use CDN with edge caching
  • Lazy load videos outside viewport
  • Provide poster images

Accessibility Requirements

Images

Essential patterns:

  • Alt text required for meaningful images
  • Empty alt (alt="") for decorative images
  • Use <figure> and <figcaption> for context
  • Sufficient color contrast for overlays
  • Reference references/accessibility-images.md

Videos

Essential patterns:

  • Captions/subtitles for all speech
  • Transcript link provided
  • Keyboard controls (space, arrows, M for mute)
  • Pause auto-play (WCAG requirement)
  • Audio description track (if applicable)
  • Reference references/accessibility-video.md

Audio

Essential patterns:

  • Transcripts available
  • Visual indicators (playing, paused, volume)
  • Keyboard controls
  • ARIA labels for controls
  • Reference references/accessibility-audio.md

To validate accessibility:

bash
node scripts/validate_media_accessibility.js

For complete requirements, reference references/accessibility-patterns.md.

Library Recommendations

Image Gallery: react-image-gallery

Best for feature-complete galleries:

  • Mobile swipe support
  • Fullscreen mode
  • Thumbnail navigation
  • Lazy loading built-in
  • Responsive out of the box
bash
npm install react-image-gallery

See examples/gallery-react-image.tsx for implementation. Reference /xiaolin/react-image-gallery for documentation.

Alternative: LightGallery (more features, larger bundle)

Video: video.js

Best for custom video players:

  • Plugin ecosystem
  • HLS and DASH support
  • Accessible controls
  • Theming support
  • Extensive documentation
bash
npm install video.js

See examples/video-js-player.tsx for implementation.

Audio: wavesurfer.js

Best for waveform visualization:

  • Beautiful waveform display
  • Timeline interactions
  • Plugin support
  • Responsive
  • Lightweight
bash
npm install wavesurfer.js

See examples/audio-waveform.tsx for implementation.

PDF: react-pdf

Best for PDF rendering in React:

  • Page-by-page rendering
  • Text selection support
  • Annotations (premium)
  • Worker-based for performance
bash
npm install react-pdf

See examples/pdf-react.tsx for implementation.

For detailed comparison, reference references/library-comparison.md.

Design Token Integration

All media components use the design-tokens skill for theming:

  • Color tokens for backgrounds, overlays, controls
  • Spacing tokens for padding and gaps
  • Border tokens for thumbnails and containers
  • Shadow tokens for elevation
  • Motion tokens for animations

Supports light, dark, high-contrast, and custom themes. Reference the design-tokens skill for theme switching.

Example token usage:

css
.upload-zone {
  border: var(--upload-zone-border);
  background: var(--upload-zone-bg);
  padding: var(--upload-zone-padding);
  border-radius: var(--upload-zone-border-radius);
}

.image-gallery {
  gap: var(--gallery-gap);
}

.video-player {
  background: var(--video-player-bg);
  border-radius: var(--video-border-radius);
}

Responsive Strategies

Image Galleries

Four responsive approaches:

  1. Grid layout - CSS Grid with auto-fit columns
  2. Masonry layout - Pinterest-style with variable heights
  3. Carousel - Single image on mobile, multiple on desktop
  4. Stack - Vertical list on mobile, grid on desktop

See examples/responsive-gallery.tsx for implementations.

Video Players

Responsive considerations:

  • 16:9 aspect ratio container
  • Full-width on mobile
  • Constrained width on desktop
  • Picture-in-picture for multitasking
  • Touch-friendly controls (larger hit areas)

Reference references/responsive-media.md for patterns.

Cloud Storage Integration

Client-Side Direct Upload

For AWS S3, Cloudinary, etc.:

  1. Request signed URL from backend
  2. Upload directly to cloud storage
  3. Notify backend of completion
  4. Display uploaded media

Benefits:

  • Reduces server load
  • Faster uploads (direct to CDN)
  • No file size limits on your server

See examples/s3-direct-upload.tsx for implementation. Reference references/cloud-storage.md for setup.

Testing Tools

Generate mock media:

bash
# Generate test images
python scripts/generate_mock_images.py --count 50 --sizes thumb,medium,large

# Generate test video metadata
python scripts/generate_video_metadata.py --duration 300

Validate media accessibility:

bash
node scripts/validate_media_accessibility.js

Analyze performance:

bash
node scripts/analyze_media_performance.js --files images/*.jpg

Working Examples

Start with the example matching the requirements:

basic-upload.tsx              # Simple drag-drop upload
chunked-upload.tsx            # Large file upload with resume
image-upload-crop.tsx         # Image upload with cropping
image-gallery.tsx             # Grid gallery with lightbox
carousel.tsx                  # Image carousel/slider
video-player.tsx              # Custom video player
audio-player.tsx              # Audio player with controls
audio-waveform.tsx            # Audio with waveform visualization
pdf-viewer.tsx                # PDF document viewer
s3-direct-upload.tsx          # Direct upload to S3
responsive-gallery.tsx        # Responsive image gallery patterns

Resources

Scripts (Token-Free Execution)

  • scripts/optimize_images.py - Batch image optimization
  • scripts/generate_mock_images.py - Test image generation
  • scripts/validate_media_accessibility.js - Accessibility validation
  • scripts/analyze_media_performance.js - Performance analysis

References (Detailed Documentation)

  • references/upload-patterns.md - File upload implementations
  • references/gallery-patterns.md - Image gallery designs
  • references/video-player.md - Video player features
  • references/audio-player.md - Audio player patterns
  • references/pdf-viewer.md - Document viewer setup
  • references/accessibility-patterns.md - Media accessibility
  • references/performance-optimization.md - Optimization strategies
  • references/cloud-storage.md - Cloud integration guides
  • references/library-comparison.md - Library analysis

Examples (Implementation Code)

  • See examples/ directory for working implementations

Assets (Templates and Configs)

  • assets/upload-config.json - Upload constraints and settings
  • assets/media-templates/ - Placeholder images and icons

Cross-Skill Integration

This skill works with other component skills:

  • Forms: File input fields, validation, submission
  • Feedback: Upload progress, success/error messages
  • AI Chat: Image attachments, file sharing
  • Dashboards: Media widgets, thumbnails
  • Design Tokens: All visual styling via token system

Next Steps

  1. Identify the media type (images, video, audio, documents)
  2. Determine upload requirements (size, quantity, editing)
  3. Choose display pattern (gallery, carousel, player, viewer)
  4. Select library or implement custom solution
  5. Implement accessibility requirements
  6. Apply optimization strategies
  7. Test performance and responsive behavior
  8. Integrate with cloud storage (optional)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Managing Media AI skill do?

Implements media and file management components including file upload (drag-drop, multi-file, resumable), image galleries (lightbox, carousel, masonry), video players (custom controls, captions, adaptive streaming), audio players (waveform, playlists), document viewers (PDF, Office), and optimization strategies (compression, responsive images, lazy loading, CDN). Use when handling files, displaying media, or building rich content experiences.

Why use Managing Media on TypingMind?

Because you install it once and use it with any model. Managing Media is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Managing Media in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ancoleman/ai-design-components/tree/main/skills/managing-media. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Managing Media?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Managing Media?

As many as you like. As long as a model supports skills, you can use Managing Media with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Managing Media AI skill free?

Yes. It is published on GitHub by ancoleman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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