web-asset-generator
Skill1 starsChanged 2 months agoMITView on GitHub
Generate and optimize web assets: favicons, app icons, OG/social images, and devicons. TRIGGER when: user asks to create favicons, generate app icons (iOS, Android, PWA), build OG/social media images, optimize SVG/PNG/WebP, create icon sprite sheets, convert logos to icon sets, or work with devicons/technology icons. DO NOT TRIGGER when: user is designing UI layouts or component architecture (use design-ux skill), writing CSS/Tailwind styles (use droo-stack skill), or building image processing pipelines unrelated to web assets.
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 88
Source-first: Always keep the highest-resolution source file.
- Distinctive: line 92
Lossless then lossy: Run lossless optimization first (optipng/svgo), then lossy (pngquant) if size still matters
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
web-asset-generator
Generate production-ready icon sets, social images, and optimized assets from source images. One source file in, every platform-specific variant out.
What You Get
- Favicon generation (ICO, PNG, SVG) for all browsers and sizes
- Apple touch icons, Android adaptive icons, PWA manifest icons
- OG/social media images with proper dimensions and metadata tags
- Devicon integration and custom technology icon creation
- Image optimization pipelines (SVGO, pngquant, sharp, WebP)
- Format selection guidance (when to use SVG vs PNG vs WebP vs ICO)
When to Use
- Generating favicon sets from a source logo or SVG
- Creating iOS/Android/PWA app icon variants
- Building OG images and Twitter card assets
- Converting logos into lightweight icon sets
- Optimizing SVG files (removing editor cruft, minifying)
- Compressing PNGs or converting to WebP
- Creating devicon/technology icon sprites
When NOT to Use
- UI layout and component design -- use
design-ux - CSS/Tailwind styling patterns -- use
droo-stack - General image editing (photo manipulation, filters) -- not a skill concern
- Video or animation assets -- out of scope
Reading Guide
| Working on | Read |
| Favicons, Apple touch, Android, PWA manifest | favicon-and-icons.md |
| SVG cleanup, PNG crush, WebP, format choice | image-optimization.md |
| OG tags, Twitter cards, social dimensions | social-images.md |
| Devicon libraries, logo sprites, monochrome | devicons.md |
See also
design-ux-- for design token systems, color palettes, and accessibilitydroo-stack-- for code-level patterns in TypeScript, Python, and shell
Tool Landscape
| Tool | Language | Use case |
| sharp | Node | Resize, convert, compress images |
| svgo | Node | SVG optimization and cleanup |
| imagemagick (convert) | CLI | Format conversion, ICO generation |
| optipng | CLI | Lossless PNG optimization |
| pngquant | CLI | Lossy PNG compression (8-bit) |
| real-favicon-generator | Web/CLI | Full favicon package from one image |
| pwa-asset-generator | Node | PWA splash screens and icons |
| Pillow | Python | Programmatic image generation |
| cairosvg | Python | SVG to PNG/PDF rasterization |
Common Pitfalls
| Mistake | Why It Fails | Better Approach |
| Single favicon.ico only | Missing Apple touch, Android, PWA | Generate full set: ICO + PNG + SVG + manifest |
| Huge unoptimized PNG favicons | Slow page load, poor Lighthouse score | Compress with pngquant, serve SVG where able |
| OG image wrong dimensions | Gets cropped or letterboxed on social platforms | Use 1200x630 for OG, 1200x675 for Twitter |
| SVG with embedded raster images | Defeats SVG purpose, huge file size | Trace rasters to paths or use PNG instead |
| No maskable icon for Android | Icon looks tiny in adaptive icon circle | Add "purpose": "maskable" variant to manifest |
| Serving WebP without PNG fallback | Breaks Safari <14, older browsers | Use <picture> element with PNG fallback |
Key Conventions
- Source-first: Always keep the highest-resolution source file; generate variants from it
- Automate generation: Script the conversion pipeline; never hand-resize icons
- Format-appropriate: SVG for simple logos, PNG for complex/photographic, WebP for modern browsers
- Manifest-complete: PWA manifest must include all required icon sizes with correct
purposefields - Lossless then lossy: Run lossless optimization first (optipng/svgo), then lossy (pngquant) if size still matters
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- alonw0/web-asset-generator★ 499same name
- felvieira/claude-skills-fv★ 27same name
- valtterimelkko/agent-workflow-skills★ 2same name
- LucasCooperBey/claude-skills★ 1same name
- OptionalGanesh/claude-skills★ 1same name
- unknownking07/claude-skills★ 1same name
- davidanthonyn/claude-skills★ 0same name
- kennyolofsson23-netizen/claude-code-config★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use systematic-debugging.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
OpenAISkillsystematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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