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lijigang/ljg-skills6k installs

ljg-card

Content caster (铸). Transforms content into PNG visuals. Seven molds: -l (default) long reading card, -i infograph, -m multi-card reading cards (1080x1440), -v editorial sketchnote (problem→failure→pivot→insight→naming, magazine + archive layout), -c comic (manga-style B&W), -w whiteboard (marker-style board layout), -b big-fonts attachment card (1080x1440, weathered 碑刻 style for 小红书). Output to ~/Downloads/. Use when user says '铸', 'cast', '做成图', '做成卡片', '做成信息图', '做成海报', '视觉笔记', 'sketchnote', '杂志', 'editorial', '漫画', 'comic', 'manga', '白板', 'whiteboard', '大字', '附件图', 'big fonts', '小红书卡片'. Replaces ljg-cards and ljg-infograph.

How do I install this agent skill?

npx skills add https://github.com/lijigang/ljg-skills --skill ljg-card
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The 'ljg-card' skill is a professional visual content generator that transforms text, URLs, or files into various styled PNG cards. It uses local HTML templates and a Node.js script with Playwright for rendering. The skill operates within its stated purpose and uses standard development tools and libraries.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 1 issue

  • Runlayerpass

    11 files scanned · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

ljg-card: 铸

内容进去,PNG 出来。模具决定形状。

参数

参数模具尺寸说明
-l(默认)长图1080 x auto单张阅读卡,内容自动撑高
-i信息图1080 x auto布局跟着内容长,没有固定版式
-m多卡1080 x 1440自动切成多张阅读卡片
-v视觉笔记1080 x auto像杂志专题讲一个概念:问题→失败→转折→顿悟→命名
-c漫画1080 x auto日式黑白漫画,按内容气质选漫画家
-w白板1080 x auto和紙底手写推理链,箭头串概念
-b大字1080 x 1440碑刻大字 + 和紙 + 外阴影,小红书附件用(单句/短段)

约束

输出是视觉文件(PNG),L0 里的 Org-mode、Denote、ASCII-only 规范不适用。

通用规矩

获取内容

  • URL:WebFetch 抓
  • 粘贴文本:直接用
  • 文件路径:Read 读

文件命名

从内容提取标题或核心思想作 {name}(中文直接用,去标点,≤ 20 字符)。

截图工具

node assets/capture.js <html> <png> <width> <height> [fullpage]

从 skill 根目录运行,依赖根目录 node_modules/ 里的 playwright。报错时:

npm install playwright && npx playwright install chromium

Footer

  • 左侧:logo + 李继刚(模板已硬编码)
  • 右侧:内容来源,可选。有明确来源(作者名、arxiv ID、网站名)就填 {{SOURCE_LINE}}<span class="info-source">来源文字</span>;没有就留空字符串。适用于 -l-i-v-c-w-m 多卡无 footer)。

交付

报告文件路径。

品味准则

不管走哪个模具,先 Read references/taste.md,全部模具共用的视觉底线:禁 Inter 字体、禁纯黑、禁三等分卡片、禁 AI 文案腔、禁假数据。

执行

按参数选模具,Read references/taste.md + 对应 mode 文件,照步骤走:

参数mode 文件模板
-lreferences/mode-long.mdassets/long_template.html
-ireferences/mode-infograph.mdassets/infograph_template.html
-mreferences/mode-poster.mdassets/poster_template.html
-vreferences/mode-sketchnote.mdassets/sketchnote_template.html
-creferences/mode-comic.mdassets/comic_template.html
-wreferences/mode-whiteboard.mdassets/whiteboard_template.html
-breferences/mode-big.mdassets/big_template.html

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/lijigang/ljg-skills/ljg-card">View ljg-card on skillZs</a>