将内容铸成可见的形态。内容进去，PNG 出来。模具决定形状。
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionljg-cardExecute the skills CLI command in your project's root directory to begin installation:
Fetches ljg-card from lijigang/ljg-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ljg-card. Access via /ljg-card in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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将内容铸成可见的形态。内容进去，PNG 出来。模具决定形状。
| 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 | 内容驱动的自适应视觉布局 |
-m |
多卡 | 1080 x 1440 | 自动切分为多张阅读卡片 |
-v |
视觉笔记 | 1080 x auto | 手绘风格 sketchnote，动态选择风格路线 |
-c |
漫画 | 1080 x auto | 日式黑白漫画风格，动态选择漫画家视觉语言 |
-w |
白板 | 1080 x auto | 白板马克笔风格，结构化框图+箭头+彩色标记 |
本 skill 输出为视觉文件（PNG），不适用 L0 中的 Org-mode、Denote 和 ASCII-only 规范。
从内容提取标题或核心思想作为 {name}（中文直接用，去标点，≤ 20 字符）。
node ~/.claude/skills/ljg-card/assets/capture.js <html> <png> <width> <height> [fullpage]
依赖：~/.claude/skills/ljg-card/node_modules/ 中的 playwright。如报错：
cd ~/.claude/skills/ljg-card && npm install playwright && npx playwright install chromium
{{SOURCE_LINE}} 变量：有来源时填 <span class="info-source">来源文字</span>，否则空字符串。适用于 -l、-i、-v、-c、-w 模具（-m 多卡无 footer，不适用）。所有模具共享。执行任何模具前，先 Read references/taste.md，作为视觉质量底线贯穿全流程。
核心：反 AI 生成痕迹——禁 Inter 字体、禁纯黑、禁三等分卡片、禁居中 Hero、禁 AI 文案腔、禁假数据。
根据参数选择模具，Read references/taste.md + 对应的 mode 文件，按步骤执行：
Read references/mode-long.md，按其步骤执行。
模板：assets/long_template.html
Read references/mode-infograph.md，按其步骤执行。
模板：assets/infograph_template.html
Read references/mode-poster.md，按其步骤执行。
模板：assets/poster_template.html
Read references/mode-sketchnote.md，按其步骤执行。
模板：assets/sketchnote_template.html
Read references/mode-comic.md，按其步骤执行。
模板：assets/comic_template.html
Read references/mode-whiteboard.md，按其步骤执行。
模板：assets/whiteboard_template.html
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
ljg-card has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: ljg-card is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-card reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in ljg-card — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for ljg-card matched our evaluation — installs cleanly and behaves as described in the markdown.
ljg-card is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: ljg-card is focused, and the summary matches what you get after install.
Keeps context tight: ljg-card is the kind of skill you can hand to a new teammate without a long onboarding doc.
ljg-card has been reliable in day-to-day use. Documentation quality is above average for community skills.
ljg-card fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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