
web-asset-generator
Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/majiayu000/spellbook --skill web-asset-generator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads web-asset-generator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Web Asset Generator
Generate professional web assets from logos or text slogans, including favicons, app icons, and social media meta images.
Quick Start
When a user requests web assets:
-
Use AskUserQuestion tool to clarify needs if not specified:
- What type of assets they need (favicons, app icons, social images, or everything)
- Whether they have source material (logo image vs text/slogan)
- For text-based images: color preferences
-
Check for source material:
- If user uploaded an image: use it as the source
- If user provides text/slogan: generate text-based images
-
Run the appropriate script(s):
- Favicons/icons:
scripts/generate_favicons.py - Social media images:
scripts/generate_og_images.py
- Favicons/icons:
-
Provide the generated assets and HTML tags to the user
Using Interactive Questions
IMPORTANT: Always use the AskUserQuestion tool to gather requirements instead of plain text questions. This provides a better user experience with visual selection UI.
Why Use AskUserQuestion?
✅ Visual UI: Users see options as clickable chips/tags instead of typing responses ✅ Faster: Click to select instead of typing out answers ✅ Clearer: Descriptions explain what each option means ✅ Fewer errors: No typos or misunderstandings from free-form text ✅ Professional: Consistent with modern Claude Code experience
Example Flow
User request: "I need web assets"
Claude uses AskUserQuestion (not plain text):
What type of web assets do you need? [Asset type]
○ Favicons only - Browser tab icons (16x16, 32x32, 96x96) and favicon.ico
○ App icons only - PWA icons for iOS/Android (180x180, 192x192, 512x512)
○ Social images only - Open Graph images for Facebook, Twitter, WhatsApp, LinkedIn
● Everything - Complete package: favicons + app icons + social images
User clicks → Claude immediately knows what to generate
Question Patterns
Below are the standard question patterns to use in various scenarios. Copy the structure and adapt as needed.
Question Pattern 1: Asset Type Selection
When the user's request is vague (e.g., "create web assets", "I need icons"), use AskUserQuestion:
Question: "What type of web assets do you need?" Header: "Asset type" Options:
- "Favicons only" - Description: "Browser tab icons (16x16, 32x32, 96x96) and favicon.ico"
- "App icons only" - Description: "PWA icons for iOS/Android (180x180, 192x192, 512x512)"
- "Social images only" - Description: "Open Graph images for Facebook, Twitter, WhatsApp, LinkedIn"
- "Everything" - Description: "Complete package: favicons + app icons + social images"
Question Pattern 2: Source Material
When the asset type is determined but source is unclear:
Question: "What source material will you provide?" Header: "Source" Options:
- "Logo image" - Description: "I have or will upload a logo/image file"
- "Emoji" - Description: "Generate favicon from an emoji character"
- "Text/slogan" - Description: "Create images from text only"
- "Logo + text" - Description: "Combine logo with text overlay (for social images)"
Question Pattern 3: Platform Selection (for social images)
When user requests social images but doesn't specify platforms:
Question: "Which social media platforms do you need images for?" Header: "Platforms" Multi-select: true Options:
- "Facebook/WhatsApp/LinkedIn" - Description: "Standard 1200x630 Open Graph format"
- "Twitter" - Description: "1200x675 (16:9 ratio) for large image cards"
- "All platforms" - Description: "Generate all variants including square format"
Question Pattern 4: Color Preferences (for text-based images)
When generating text-based social images:
Question: "What colors should we use for your social images?" Header: "Colors" Options:
- "I'll provide colors" - Description: "Let me specify exact hex codes for brand colors"
- "Default theme" - Description: "Use default purple background (#4F46E5) with white text"
- "Extract from logo" - Description: "Auto-detect brand colors from uploaded logo"
- "Custom gradient" - Description: "Let me choose gradient colors"
Question Pattern 5: Icon Type Clarification
When user says "create icons" or "generate icons" (ambiguous):
Question: "What kind of icons do you need?" Header: "Icon type" Options:
- "Website favicon" - Description: "Small browser tab icon"
- "App icons (PWA)" - Description: "Mobile home screen icons"
- "Both" - Description: "Favicon + app icons"
Question Pattern 6: Emoji Selection
When user selects "Emoji" as source material:
Step 1: Ask for project description (free text):
- "What is your website/app about?"
- Use this to generate emoji suggestions
Step 2: Use AskUserQuestion to present the 4 suggested emojis:
Question: "Which emoji best represents your project?" Header: "Emoji" Options: (Dynamically generated based on project description)
- Example: "🚀 Rocket" - Description: "Rocket, launch, startup, space"
- Example: "☕ Coffee" - Description: "Coffee, cafe, beverage, drink"
- Example: "💻 Laptop" - Description: "Computer, laptop, code, dev"
- Example: "🎨 Art" - Description: "Art, design, creative, paint"
Implementation:
# Get suggestions
python scripts/generate_favicons.py --suggest "coffee shop" output/ all
# Then generate with selected emoji
python scripts/generate_favicons.py --emoji "☕" output/ all
Optional: Ask about background color for app icons:
Question: "Do you want a background color for app icons?" Header: "Background" Options:
- "Transparent" - Description: "No background (favicons only)"
- "White" - Description: "White background (recommended for app icons)"
- "Custom color" - Description: "I'll provide a color"
Question Pattern 7: Code Integration Offer
When to use: After generating assets and showing HTML tags to the user
Question: "Would you like me to add these HTML tags to your codebase?" Header: "Integration" Options:
- "Yes, auto-detect my setup" - Description: "Find and update my HTML/framework files automatically"
- "Yes, I'll tell you where" - Description: "I'll specify which file to update"
- "No, I'll do it manually" - Description: "Just show me the code, I'll add it myself"
If user selects "Yes, auto-detect":
- Search for framework config files (next.config.js, astro.config.mjs, etc.)
- Detect framework type
- Find appropriate target file (layout.tsx, index.html, etc.)
- Show detected file and ask for confirmation
- Show diff of proposed changes
- Insert tags if user confirms
If user selects "Yes, I'll tell you where":
- Ask user for file path
- Verify file exists
- Show diff of proposed changes
- Insert tags if user confirms
Framework Detection Priority:
- Next.js: Look for
next.config.js, updateapp/layout.tsxorpages/_app.tsx - Astro: Look for
astro.config.mjs, update layout files insrc/layouts/ - SvelteKit: Look for
svelte.config.js, updatesrc/app.html - Vue/Nuxt: Look for
nuxt.config.js, updateapp.vueornuxt.config.ts - Plain HTML: Look for
index.htmlor*.htmlfiles - Gatsby: Look for
gatsby-config.js, updategatsby-ssr.js
Question Pattern 8: Testing Links Offer
When to use: After code integration (or if user declined integration)
Question: "Would you like to test your meta tags now?" Header: "Testing" Options:
- "Facebook Debugger" - Description: "Test Open Graph tags on Facebook"
- "Twitter Card Validator" - Description: "Test Twitter card appearance"
- "LinkedIn Post Inspector" - Description: "Test LinkedIn sharing preview"
- "All testing tools" - Description: "Get links to all validators"
- "No, skip testing" - Description: "I'll test later myself"
Provide appropriate testing URLs:
- Facebook: https://developers.facebook.com/tools/debug/
- Twitter: https://cards-dev.twitter.com/validator
- LinkedIn: https://www.linkedin.com/post-inspector/
- Generic OG validator: https://www.opengraph.xyz/
Workflows
Generate Favicons and App Icons from Logo
When user has a logo image:
python scripts/generate_favicons.py <source_image> <output_dir> [icon_type]
Arguments:
source_image: Path to the logo/image fileoutput_dir: Where to save generated iconsicon_type: Optional - 'favicon', 'app', or 'all' (default: 'all')
Example:
python scripts/generate_favicons.py /mnt/user-data/uploads/logo.png /home/claude/output all
Generates:
favicon-16x16.png,favicon-32x32.png,favicon-96x96.pngfavicon.ico(multi-resolution)apple-touch-icon.png(180x180)android-chrome-192x192.png,android-chrome-512x512.png
Generate Favicons and App Icons from Emoji
NEW FEATURE: Create favicons from emoji characters with smart suggestions!
Step 1: Get Emoji Suggestions
When user wants emoji-based icons, first get suggestions:
python scripts/generate_favicons.py --suggest "coffee shop" /home/claude/output all
This returns 4 emoji suggestions based on the description:
1. ☕ Coffee - coffee, cafe, beverage
2. 🌐 Globe - web, website, global
3. 🏪 Store - shop, store, retail
4. 🛒 Cart - shopping, cart, ecommerce
Step 2: Generate Icons from Selected Emoji
python scripts/generate_favicons.py --emoji "☕" <output_dir> [icon_type] [--emoji-bg COLOR]
Arguments:
--emoji: Emoji character to useoutput_dir: Where to save generated iconsicon_type: Optional - 'favicon', 'app', or 'all' (default: 'all')--emoji-bg: Optional background color (default: transparent for favicons, white for app icons)
Examples:
# Basic emoji favicon (transparent background)
python scripts/generate_favicons.py --emoji "🚀" /home/claude/output favicon
# Emoji with custom background for app icons
python scripts/generate_favicons.py --emoji "☕" --emoji-bg "#F5DEB3" /home/claude/output all
# Complete set with white background
python scripts/generate_favicons.py --emoji "💻" --emoji-bg "white" /home/claude/output all
Generates same files as logo-based generation:
- All standard favicon sizes (16x16, 32x32, 96x96)
- favicon.ico
- App icon sizes (180x180, 192x192, 512x512)
Note: Requires pilmoji library: pip install pilmoji
Generate Social Media Meta Images from Logo
When user has a logo and needs Open Graph images:
python scripts/generate_og_images.py <output_dir> --image <source_image>
Example:
python scripts/generate_og_images.py /home/claude/output --image /mnt/user-data/uploads/logo.png
Generates:
og-image.png(1200x630 - Facebook, WhatsApp, LinkedIn)twitter-image.png(1200x675 - Twitter)og-square.png(1200x1200 - Square variant)
Generate Social Media Meta Images from Text
When user provides a text slogan or tagline:
python scripts/generate_og_images.py <output_dir> --text "Your text here" [options]
Options:
--logo <path>: Include a logo with the text--bg-color <color>: Background color (hex or name, default: '#4F46E5')--text-color <color>: Text color (default: 'white')
Example:
python scripts/generate_og_images.py /home/claude/output \
--text "Transform Your Business with AI" \
--logo /mnt/user-data/uploads/logo.png \
--bg-color "#4F46E5"
Generate Everything
For users who want the complete package:
# Generate favicons and icons
python scripts/generate_favicons.py /mnt/user-data/uploads/logo.png /home/claude/output all
# Generate social media images
python scripts/generate_og_images.py /home/claude/output --image /mnt/user-data/uploads/logo.png
Or for text-based:
# Generate favicons from logo
python scripts/generate_favicons.py /mnt/user-data/uploads/logo.png /home/claude/output all
# Generate social media images with text + logo
python scripts/generate_og_images.py /home/claude/output \
--text "Your Tagline Here" \
--logo /mnt/user-data/uploads/logo.png
Extended Reference
Detailed material starting at ## Delivering Assets to User has been moved to reference/extended.md to keep this skill concise. Load that reference when the task requires the moved examples, command catalogs, checklists, platform details, or implementation templates.
FAQ
What does the web-asset-generator skill do?
Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.
How do I install web-asset-generator?
Run npx skills add https://github.com/majiayu000/spellbook --skill web-asset-generator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/web-asset-generator/ (personal) or .claude/skills/web-asset-generator/ (project).
Which AI agents can use web-asset-generator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is web-asset-generator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains web-asset-generator?
It is published by majiayu000 in majiayu000/spellbook. It has 75 recorded installs.
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