by joeseesun · AI Tool · ★ 195
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
qiaomu-info-card-designer Turn any text or URL into a magazine-quality info card image — auto screenshot included. 将任意文本或链接一键转化为杂志质感信息卡片,自动截图输出图片,适合分享到 X、小红书、微信。 English | 中文 English What it does Give Claude a URL, paste text, or describe a topic — this skill designs a magazine-style HTML info card and automatically screenshots it to PNG ready to post on X (Twitter), Xiaohongshu, or WeChat. Key features: Swiss International Style + editorial magazine aesthetic Big titles, punchy hook-style summaries (10–20 chars each) Supports 480 / 600 / 900px width — just say "make it 480px wide" Auto-splits cards taller than 1200px into multiple images vw-based font sizing: fonts scale proportionally with card width Uses TsangerJinKai (仓耳今楷) local font for consistent rendering Prerequisites [ ] Playwright Python (used for headless screenshot) Install: Verify: [ ] Python 3 + Pillow + NumPy (for image splitting) Install: Verify: Installation How to trigger Say any of these to Claude: "生成信息卡" / "做张信息卡" / "信息卡片" "把这段内容做成卡片" "make info card" / "generate card" Usa
| Stars | 195 |
| Forks | 14 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 66.1847616870351/100 |
| Last Updated | 2026-04-05 |
| Created | 2026-03-16 |
| Platforms | python |
| Est. Tokens | ~2141k |
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info-card-designer is 将任意文本/信息转化为杂志质感 HTML 信息卡片,并自动截图保存为图片。 适合分享到 X (Twitter)、微信、小红书等平台。 触发词:"生成信息卡"、"做张信息卡"、"把这段内容做成卡片"、"信息卡片"、"make info card"、"generate card"。 卡片特点:大字号、强. It is categorized as a AI Tool with 195 GitHub stars.
info-card-designer is primarily written in Python.
You can find installation instructions and usage details in the info-card-designer GitHub repository at github.com/joeseesun/info-card-designer. The project has 195 stars and 14 forks, indicating an active community.
info-card-designer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to info-card-designer on Agent Skills Hub include MedgeClaw, shaping-skills, pivotnacci. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.