- name
- wechat-image-generator
- description
- Generate beautiful images for WeChat articles (covers, comparisons, charts) with zero token cost. Use when user needs images for social media posts, article covers, data visualization. Triggers include "生成封面图", "对比图", "配图", "公众号图片".
- homepage
- https://github.com/jingyu525/wechat-image-generator
- metadata
- { "openclaw": { "emoji": "🎨", "requires": { "bins": ["python3"] } } }
WeChat Image Generator
Generate beautiful images for WeChat articles with zero token cost and auto-screenshot.
Quick Start
1. Cover Image (封面图)
python3 scripts/generate.py cover \
--title "我的第一个开源项目" \
--subtitle "Token 成本降低 90%" \
--output output/cover.png2. Comparison Image (对比图)
python3 scripts/generate.py compare \
--left "# Markdown\
**Bold** text" \
--right "HTML 渲染结果" \
--label "1 秒转换" \
--output output/compare.png3. Chart Image (数据图)
python3 scripts/generate.py chart \
--data "Token消耗:8000,650|生成耗时:20,1" \
--labels "AI生成,预制模板" \
--output output/chart.pngWorkflow
- Run generator script with parameters
- Script creates HTML with embedded data
- Opens in browser via OpenClaw browser tool
- Auto-screenshot and save to output folder
Design Philosophy
Zero token cost: All templates are pre-built HTML/CSS Auto-screenshot: Integrated with OpenClaw browser tool Customizable: Easy to modify templates for different styles
Token Cost Analysis
Per image generation:
- Read SKILL.md: ~500 tokens (first time only)
- Execute script: ~100 tokens
- Browser screenshot: ~50 tokens
Total: ~650 tokens vs DALL-E/Midjourney ~1000-5000 tokens per image.
Requirements
- Python 3
- OpenClaw browser tool (for auto-screenshot)