Generate professional SVG UI panels for structured information display. Use when presenting lists, task checklists, pipeline/dependency status diagrams, or rich-text report layouts as SVG images. Covers four templates - list-panel, checklist-panel, pipeline-status, richtext-layout. Style is professional, business-oriented, academic-grade with Material Design color palette.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Generate professional-grade SVG information panels optimized for horizontal (landscape) display.
| Template | File | Use Case |
|---|---|---|
| list-panel | assets/list-panel.svg | 数据表格、参数列表、对比表 |
| checklist-panel | assets/checklist-panel.svg | 任务清单、进度追踪、TODO |
| pipeline-status | assets/pipeline-status.svg | 流程依赖图、阶段状态、里程碑 |
| richtext-layout | assets/richtext-layout.svg | 图文混排、报告摘要、数据简报 |
assets/{{PLACEHOLDER}} tokens with actual contentviewBox height if content exceeds defaultFor detailed placeholder lists, color system, and extension methods: read references/template-guide.md
'Inter','Helvetica Neue','Microsoft YaHei',sans-serif — never change order.filter="url(#cardShadow)" or equivalent id.python3 -c "import cairosvg; cairosvg.svg2png(url='in.svg', write_to='out.png', output_width=2400)"feishu-rich-card skill 将图片嵌入飞书交互式卡片，实现图文混排汇报。参见 ../feishu-rich-card/SKILL.md。还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Dispatch biomedical research and data analysis tasks to Claude Code with K-Dense Scientific Skills. Use this skill when the user asks to run any bioinformatics, genomics, drug discovery, clinical data analysis, proteomics, multi-omics, medical imaging, or scientific computation task. Also use for literature search (PubMed, bioRxiv), pathway analysis, protein structure prediction, or scientific writing tasks.
中文简介正在准备中。当前显示原文说明。
CHARLS (China Health and Retirement Longitudinal Study) database-specific knowledge for reproducing published papers. Use when reproducing or analyzing papers that use CHARLS data, including variable mapping from harmonized to raw questionnaire items, cognitive function scoring (episodic memory, mental status, TICS), CESD-10 depression screening, social isolation index construction, and chronic disease coding. Also use for any CHARLS data cleaning, variable construction, or cohort selection task.
中文简介正在准备中。当前显示原文说明。
CJK (中日韩) 字体检测与 matplotlib 配置。任何涉及中文标签、标题、图例的 可视化任务启动前必须先执行本 skill 的字体检测流程，确保不会出现方块乱码。 适用于 matplotlib / seaborn / plotly 静态导出等场景。
中文简介正在准备中。当前显示原文说明。
Send rich interactive cards with embedded images in Feishu group chats. Use when reporting progress, sharing analysis results, or presenting any content that benefits from mixed text+image layout in Feishu. Combines SVG UI templates (or matplotlib/PIL charts) with Feishu Card Kit API.
中文简介正在准备中。当前显示原文说明。
Systematic methodology for reproducing published academic papers using provided data. Use when the user asks to reproduce, replicate, or verify results from a published paper, including sample selection, descriptive statistics, regression analyses, and generating reproduction reports (Markdown + LaTeX PDF). Covers the full pipeline: data exploration, variable identification/mapping, sample filtering, variable construction, statistical analysis, result comparison, and documentation. Applicable to any observational study, clinical cohort, or survey-based research paper.
中文简介正在准备中。当前显示原文说明。