OpenClaw · Skill

GIF Encoding

Generate a web app that creates custom animated GIF stickers for Chinese New Year (Year of the Horse 2026).

Web & Frontend Development
v1.0.0
VirusTotal: Suspicious

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

clawhub install jiafar/horse-sticker-maker

ClawHub installer

npx clawhub@latest install jiafar/horse-sticker-maker

OpenClaw CLI

openclaw skills install jiafar/horse-sticker-maker

Direct OpenClaw install

openclaw install jiafar/horse-sticker-maker

What this skill does

Generate a web app that creates custom animated GIF stickers for Chinese New Year (Year of the Horse 2026).

Why it matters

GIF encoding runs entirely client-side via gif.js, so no server processing or file upload is needed and the output is immediately WeChat-compatible.

Typical use cases

  • Sending personalized horse-year blessing stickers in WeChat
  • Deploying a holiday sticker generator page for a team or community
  • Customizing the bottom slogan text for different gift or greeting contexts
  • Sharing animated GIFs in group chats during Lunar New Year
  • Generating branded festive stickers for a 2026 campaign

Source instructions

Horse Sticker Maker

Generate a web app that creates custom animated GIF stickers for Chinese New Year (Year of the Horse 2026).

What It Does

  • Users input custom blessing text (1-8 chars)
  • Client-side Canvas renders a 240px animated GIF with:
    • Red gradient background with gold sparkle particles
    • 6-frame gold horse galloping animation (transparent PNG)
    • User's custom text in gold calligraphy at top
    • "立马加薪" bottom text with color-cycling effect
  • Output is WeChat sticker compatible (≤500KB, 240px)

Quick Start

  1. Copy the template project:

    cp -r <skill_dir>/assets/horse-blessing-template ./horse-blessing
    cd horse-blessing
    npm install
    
  2. Run locally:

    npm run dev
    # Open http://localhost:3000/sticker
    
  3. Deploy to Vercel:

    vercel --prod --yes
    

Project Structure

horse-blessing/
├── app/
│   ├── page.tsx          # Main page (AI-generated blessing with poem)
│   ├── sticker/page.tsx  # Sticker maker (Canvas GIF generator)
│   ├── api/generate/     # AI poem + image generation API
│   ├── api/sticker/      # Sticker API
│   └── layout.tsx        # Root layout (red theme)
├── public/
│   ├── horse-frame-[1-6].png  # 6-frame transparent gold horse
│   ├── horse-transparent.png  # Static horse fallback
│   └── gif.worker.js          # gif.js web worker
├── package.json
└── tailwind.config.ts

Key Technical Details

GIF Generation (Client-Side)

  • Uses gif.js loaded via CDN (Script from next/script)
  • 18 frames (6 horse frames × 3 cycles), 85ms delay per frame
  • Canvas size: 240×240px for WeChat sticker compatibility
  • Horse frames loaded as Image elements, drawn via drawImage

Horse Frame Assets

  • 6 transparent PNG frames in public/horse-frame-[1-6].png
  • Generated via AI image model, backgrounds removed with sharp
  • Removal technique: pixels with R>210, G>210, B>210 → alpha=0

Customization Points

  • Bottom text: Edit '立马加薪' in sticker/page.tsx
  • GIF size: Change const size = 240 (keep ≤240 for WeChat)
  • Frame count: Change const frames = 18
  • Horse images: Replace public/horse-frame-*.png
  • Background: Modify the radial gradient colors
  • Sparkle count: Adjust sparkle array size (default 30)

WeChat Sticker Compatibility

  • Max 500KB file size
  • Max 240px recommended dimension
  • GIF format required
  • Save → WeChat chat → emoji panel → "+" → select from gallery

Dependencies

{
  "next": "^14.0.0",
  "react": "^18.2.0",
  "react-dom": "^18.2.0",
  "sharp": "latest",
  "gif-encoder-2": "^1.0.5",
  "html2canvas-pro": "^1.6.7"
}

External CDN: gif.js@0.2.0 (loaded at runtime for client-side GIF encoding)

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