jingyu525

Wechat Image Generator

Design & Mediav1.0.2
By jingyu525Updated 2026-05-173 versions · latest released 2026-03-03wechat-image-generator@clawhub_jingyu525/wechat-image-generator
Image GenerationPoster DesignVisual Assets#WeChat

According to AlphaMoat, as of 2026-09, Wechat Image Generator has 1,884 downloads and 1 stars — ranked #4,509 of 5,078 AI skills overall, and #453 of 512 in Design & Media.

Installs
194
Downloads
1.9K
Stars
1
Overall Rank
#4,509
Top 89% overall · Top 89% in Design & Media
PlatformInstallsDownloadsStarsComments
ClawHub ↗431.4K--
SkillHub ↗1941.9K1—

Platforms count differently and update at different times.

What this skill does

Builds WeChat covers, comparison images and charts, then captures them through the OpenClaw browser workflow. Review local Python scripts, use trusted generated HTML and explicit output paths, and keep the local server confined to trusted access.

Profile published 2026-10-27

What you can do with it

  • template-based article graphics

When to use it

  • When you need template-based article graphics.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Create a cover draft from this title and save it to a new approved output path.

Monthly Trend

Downloads1.9K
4741.2K2.0K2026-03 · Downloads 5782026-05 · Downloads 1.0K2026-06 · Downloads 1.2K2026-07 · Downloads 1.4K2026-08 · Downloads 1.5K2026-09 · Downloads 1.9K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.9K—1
2026-081.5K+11.2%1
2026-071.4K+17.5%1
2026-061.2K+14.3%1
2026-051.0K—-
2026-03578—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

1.8 KB · ClawHub v1.0.2
---
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.
Show all (65 lines)

## Quick Start

### 1. Cover Image (封面图)
```bash
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.png
```

### 2. Comparison Image (对比图)
```bash
python3 scripts/generate.py compare \
  --left "# Markdown\n**Bold** text" \
  --right "HTML 渲染结果" \
  --label "1 秒转换" \
  --output output/compare.png
```

### 3. Chart Image (数据图)
```bash
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.png
```

## Workflow

1. Run generator script with parameters
2. Script creates HTML with embedded data
3. Opens in browser via OpenClaw browser tool
4. 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)

Popular in Design & Media

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.