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Skills/lijigang/ljg-skills/ljg-library
ljg-library logo

ljg-library

lijigang/ljg-skills
594 installs6K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/lijigang/ljg-skills --skill ljg-library

Summary

一本书 → 一幅清晰的「取景框」意向画面 → 一张 2050 图书馆借书卡(PNG)。取景框 = 作者从哪个角度看什么问题、看到了哪幅画面;卡上有真实封面、作者头像、书目信息。取景框 block 用费曼式讲解把这幅意向画面讲得通俗又准确,图解 block 白底黑墨手绘风、精确呈现该意向画面让人一眼即懂(画面里本来有「你」才嵌继刚墨像,否则只画画面)。浅色光学玻璃风、卡身强调色从封面动态提取、宽高自适应。合上书记住这幅画面,就没白读。Use when user says '取景框卡', '图书馆卡', 'library card', '书卡', '铸书卡', '一本书一句话一张卡', '/ljg-library', or provides a book name and wants it distilled into one collectible card. NOT FOR 拆书结构分析(用 ljg-book)、纯文字金句(用 ljg-card -b)、信息图(用 ljg-card -i)、视觉笔记(用 ljg-card -v)。

SKILL.md

ljg-library:取景框借书卡

一本书,铸成一张 2050 图书馆借书卡。封面、作者、书目是身份;核心是把这本书独创的「取景框」压成一幅意向画面——作者从某个角度看某个问题,看到了一幅别人没看到的画面。文字 block 用费曼式把这幅画面讲透,图形 block 把它精确画出来。合上书半年后,瞥一眼这张卡,那幅画面回来——这是「没白读」的物证。

图解 block 用手绘解释的风格、白底黑墨,精确呈现意向画面;继刚墨像(assets/ljg-portrait.png,由其头像抠底而成)是可选构图件,仅当画面里本来有个「你」才嵌入。完整设计历程见 ~/.claude/PAI/MEMORY/WORK/ljg-oneliner-design/ISA.md。

约束

输出为视觉文件(PNG),不适用 Org-mode / Denote / ASCII-only 规范。

灵魂:意向画面提炼 + 图文同呈

卡好不好看是壳,能不能从一本书提炼出它独创的看世界方式、压成一幅意向画面、用费曼讲解 + 手绘图形分别呈现它,才是命。这一步若失手,整张卡退化成豆瓣读书卡。

核心:取景框 = 角度 + 问题 + 画面。 作者从某个机位看某个问题,看到一幅别人没看到的画面。这幅意向画面是枢轴——文字讲它、图形画它,两者是同一幅画面的两次呈现。

第一要义:把画面讲清楚,不求压短。 取消一切「压成一句」之类的字数约束——画面具体、讲解通俗准确,比讲短重要。

执行前,先 Read references/extraction.md:第一部分走取景六步(对象 → 角度 → 旧画面 → 意向画面 → 费曼讲解 → 校验)产出意向画面 + 文字(主句 {{FRAME}} + 费曼讲解 {{EXP}},{{EXP}} 必走 feynman-eli5 skill);第二部分把意向画面精确画成图({{SKETCH_SVG}},复用 <defs> 组件与骨架)——继刚墨像听画面调度:画面里有「你」才嵌,没有就只画画面。

输入弹性:继刚常常自己已经想透(读完顺手就想铸卡)。给了思想就直接用(只走校验 + 画图);没给则走全程提炼。

视觉规格

生成 HTML 前,先 Read references/visual.md——浅色玻璃卡身规格、卡身动态色 vs 图解板白底黑墨两套配色、字体、图解板(意向画面、墨像可选)规格、踩过的坑全在里面。这是视觉质量底线。

流程

输入:书名(或 书名 + 已想透的取景框思想)
  ↓
1. weread 取真封面 + 书目(见下「素材获取」)
2. web 抓作者头像
3. 提封面主色 → 卡身动态强调色(python assets/extract_color.py <封面>)
4. 提炼意向画面:对象 + 角度 → 意向画面(用户给了→校验,没给→走 extraction.md 取景六步)
5. 费曼讲解 → {{FRAME}}(一句话点画面)+ {{EXP}}(走 feynman-eli5 把画面讲透)
6. 画意向画面 SVG {{SKETCH_SVG}}:精确呈现那幅画面,墨像听调度(含「你」才嵌 ljg-portrait.png;复用 extraction.md 的 defs + 骨架)
7. 填 assets/library_template.html 的占位变量
8. 渲染(capture.js,fullpage 自适应高度)
9. Read 自验(含放大看图形板,确认图文同一幅画面)→ 交付路径

素材获取(关键,按此顺序降级)

封面 + 书目(weread)

继刚有微信读书。走 weread skill 的 /store/search(先 Read ~/.claude/skills/weread/search.md):

curl -s -X POST "https://i.weread.qq.com/api/agent/gateway" \
  -H "Authorization: Bearer $WEREAD_API_KEY" -H "Content-Type: application/json" \
  -d '{"api_name":"/store/search","keyword":"<书名>","scope":10,"skill_version":"1.0.3"}'
  • 回包 results[].books[].bookInfo(每个 result 组一本)有 title / author / translator / cover / publisher。
  • 封面 cover URL 是 s_ 缩略图(70×100,太小会糊)。把 s_ 换成 t7_ 拿高清(285×411):.../cover/942/635942/t7_635942.jpg。下载时带 -H "Referer: https://weread.qq.com/"。
  • 取不到 weread → 联网搜豆瓣封面(web-access / markdown-proxy)→ 仍无则 CSS 占位书封。

作者头像(web)

维基百科原图最稳。Wikipedia API 直接拿 original 图 URL:

curl -s -A "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)" \
  "https://en.wikipedia.org/w/api.php?action=query&titles=<英文名>&prop=pageimages&piprop=original&format=json"
# 拿到 .original.source 后下载(带 UA):
curl -sL -A "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7)" -o /tmp/lib_avatar.jpg "<original-url>"
  • 坑:thumb 路径(/thumb/.../480px-xxx.jpg)若该尺寸未缓存会返 HTML 错误页。用原图路径(去掉 /thumb/ 和尺寸段),并必须带 User-Agent(缺 UA 被 Wikimedia 拦)。
  • 无头像 → 省略头像(模板作者行不显示 avatar),不阻塞。

墨像(可选,已就位)

图解板若需放「你」,用继刚本人墨像,资产 assets/ljg-portrait.png(黑墨线稿 on 透明,落白板上即白底墨像)已生成、固定复用,无需每次重做。但墨像不是每张必上——只在意向画面本来含「你」时嵌入(判断见 extraction.md 第二部分)。源头像若更新需重做:PIL 读 head.png,lum<120 暗墨像素映射为 #241a12、其余透明,裁掉透明边。

卡身动态强调色

python3 assets/extract_color.py /tmp/lib_cover.jpg
# 输出形如:#c43d30

从封面提取最显著的彩色作卡身强调色(换书自动换色:红封→红卡、蓝封→蓝卡)。脚本默认挑「最频繁的彩色」——若封面主体是大面积米 / 灰背景,它会挑出发闷的背景色;这时改按「鲜艳度 × 频次」重排,从真实像素里挑一个撑得住的彩色(别凭空写死)。注意:这只是卡身色;图解板固定白底 #fdfdfb + 墨 #241a12,不动。

模板变量(library_template.html)

变量内容
{{ACCENT}}卡身动态强调色 hex(如 #c43d30,从封面提取)
{{COVER}}封面的 file:// 绝对路径
{{AVATAR_IMG}}整个头像 <img class="avatar" src="file://…">(无头像填空字符串,作者行自动省 avatar)
{{TITLE}} {{EN}} {{SUBTITLE}}书名中 / 英 / 副标题
{{TAGS}}3-4 个主题标签(书的核心概念),每个 <span class="tag">…</span>
{{AUTHOR_CN}} {{AUTHOR_META}}作者中文名 / 「英文名 · 出版社 年份」
{{FRAME}}意向画面主句:一句话点出这幅画面的换眼睛主张,关键词用 <span class="hl">…</span> 染卡身强调色
{{EXP}}费曼讲解:走 feynman-eli5 把这幅意向画面讲通俗讲准、完整流畅,关键词同样 <span class="hl">
{{SKETCH_TITLE}}图形板的名字(英文 + 中文,如 Ergodicity 遍历性)
{{SKETCH_SVG}}手绘图形整段 <svg>…</svg>(白底黑墨、精确呈现意向画面、墨像听画面调度,见 extraction.md 第二部分)

渲染

node ~/.claude/skills/ljg-card/assets/capture.js \
  /tmp/ljg_library_{name}.html ~/Downloads/{name}.png 1080 1440 fullpage

复用 ljg-card 的 capture.js(playwright 已装在 ljg-card/node_modules)。必须 fullpage——卡片高度自适应内容,不留底部空白。file:// 引用本地封面 / 头像 / 墨像可直接渲染。

交付

  1. Read 输出的 PNG 亲眼验图,并放大看图形板(封面/头像加载 ✓、费曼讲解把意向画面讲透 ✓、卡身色协调 ✓、图形精确呈现意向画面一眼即懂 ✓、含「你」时墨像清晰群众无脸成对比/无「你」时纯画画面 ✓、墨线手绘抖 + 批注清晰 ✓、图文同一幅画面 ✓、右侧无空白 ✓)。
  2. 报告文件路径 + 一句意向画面提炼说明。

Gotchas(务必避开)

  • 封面尺寸:weread s_ 前缀是 70×100 缩略图,必糊。换 t7_ 拿 285×411 高清,下载带 Referer。
  • 头像 thumb 陷阱:Wikimedia /thumb/.../NNNpx- 特定尺寸未缓存会返 HTML 错误页。用原图路径 + User-Agent。
  • 墨像可选,要放就嵌真墨像不手绘:决定放继刚墨像时,用 <image href="…/assets/ljg-portrait.png">,鲜明 + 像素级一致;手绘小人既不像他又每次漂移,已弃。但不是每张必上——画面无「你」就别放,硬塞反糊画面、违背「一眼即懂」。
  • 图解板是手写 SVG:线条 / 图形套 filter="url(#rough)" 出手绘抖动;文字 / 批注 / 墨像绝不套滤镜(糊)。复用组件 + 骨架见 extraction.md。
  • 无脸群众只在有墨像「你」时用:放了墨像「你」,群众才用 #person 无脸小墨人作对比——「你 vs 一群人」靠这个,别给群众画脸。画面无「你」时,群众也未必需要。
  • 图解板白底黑墨两色:白 #fdfdfb 底 + 墨 #241a12。两套色别串:卡身动态色从封面提取、不写死;图解板白底 + 墨、写死。
  • 意向画面是认知位移的成像,不是摘要:主句「原来不是 X,其实是 Y」+ 费曼讲解讲透机制,不是「本书讲了……」。验收尺:凉脑子瞥一眼,那幅画面回不回得来。

Score

0–100
65/ 100

Grade

C

Popularity17/30

594 installs — growing adoption. Source repo has 6,114 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Ljg Library skill score badge previewScore badge

Markdown

[![Ljg Library skill](https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-library/badges/score.svg)](https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-library)

HTML

<a href="https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-library"><img src="https://www.claudemarket.ai/skills/lijigang/ljg-skills/ljg-library/badges/score.svg" alt="Ljg Library skill"/></a>

Ljg Library FAQ

How do I install the Ljg Library skill?

Run “npx skills add https://github.com/lijigang/ljg-skills --skill ljg-library” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Ljg Library skill do?

一本书 → 一幅清晰的「取景框」意向画面 → 一张 2050 图书馆借书卡(PNG)。取景框 = 作者从哪个角度看什么问题、看到了哪幅画面;卡上有真实封面、作者头像、书目信息。取景框 block 用费曼式讲解把这幅意向画面讲得通俗又准确,图解 block 白底黑墨手绘风、精确呈现该意向画面让人一眼即懂(画面里本来有「你」才嵌继刚墨像,否则只画画面)。浅色光学玻璃风、卡身强调色从封面动态提取、宽高自适应。合上书记住这幅画面,就没白读。Use when user says '取景框卡', '图书馆卡', 'library card', '书卡', '铸书卡', '一本书一句话一张卡', '/ljg-library', or provides a book name and wants it distilled into one collectible card. NOT FOR 拆书结构分析(用 ljg-book)、纯文字金句(用 ljg-card -b)、信息图(用 ljg-card -i)、视觉笔记(用 ljg-card -v)。 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Ljg Library skill free?

Yes. Ljg Library is a free, open-source skill published from lijigang/ljg-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Ljg Library work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Ljg Library works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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