Feishu rich card

Skill BioTender-max/awesome-bio-agent-skills/skills/medgeclaw/feishu-rich-card

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.From its SKILL.md

Install

npx -y skills add BioTender-max/awesome-bio-agent-skills --skill feishu-rich-card

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

3.7 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

Feishu Rich Card — 飞书图文混排卡片

在飞书群聊中发送图文并茂的交互式卡片，用于汇报进展、展示分析结果、项目状态等。

When to Use

汇报任务进展、项目状态
展示数据分析结果（图表 + 解读）
发送研究简报、阶段性成果
任何需要图文混排的飞书消息

Architecture

生成图片(SVG→PNG / matplotlib / PIL)
        ↓
上传图片到飞书 → 获取 image_key
        ↓
构造 Card JSON (schema 2.0) → 嵌入 img 元素 + markdown 元素
        ↓
调用飞书 API 发送 interactive 消息

Workflow

Step 1: Prepare Images

图片来源可以是：

SVG UI 模板 → 用 svg-ui-templates skill 生成 SVG → cairosvg 转 PNG
matplotlib/seaborn → 直接 savefig 为 PNG
PIL/Pillow → 程序化生成图片
已有文件 → 直接使用本地 PNG/JPG

Step 2: Upload & Send

使用 references/send_card.py 中的辅助函数：

# 完整用法参见 references/send_card.py
from send_card import FeishuCardSender

sender = FeishuCardSender()  # 自动读取 openclaw.json 凭证

# 发送图文卡片
sender.send_rich_card(
    chat_id="oc_xxx",
    title="📊 分析报告",
    elements=[
        {"type": "markdown", "content": "## 结果摘要\n\n发现 **3 个**显著差异基因"},
        {"type": "image", "path": "/tmp/volcano_plot.png", "alt": "火山图"},
        {"type": "markdown", "content": "> Gene X: FC=2.5, p<0.001"},
        {"type": "hr"},
        {"type": "image", "path": "/tmp/heatmap.png", "alt": "热图"},
        {"type": "markdown", "content": "**结论：** 样本间差异显著，建议进一步验证。"},
    ],
    header_template="blue"  # blue/indigo/green/red/purple/violet/wathet/turquoise/yellow/grey
)

Step 3: Quick One-liner (for simple cases)

sender.send_image_report(
    chat_id="oc_xxx",
    title="🧬 单细胞分析完成",
    intro="UMAP 降维完成，共识别 12 个细胞群：",
    image_path="/tmp/umap.png",
    conclusion="Cluster 5 为目标细胞群，marker: CD8A, GZMB, PRF1",
    header_template="indigo"
)

Card Elements Reference

Element	Tag	说明
Markdown	`markdown`	支持加粗、斜体、链接、列表、引用块、代码块
Image	`img`	需要 `image_key`（上传后获取）
Divider	`hr`	水平分割线
Column Set	`column_set`	多列并排布局
Note	`note`	底部灰色备注

Header Templates (颜色)

blue wathet turquoise green yellow orange red carmine violet purple indigo grey

Key Rules

图片必须先上传到飞书获取 image_key，不能用 URL
Card schema 必须是 "2.0"
每张卡片最多 50 个元素
图片建议宽度 600-1200px，飞书会自动缩放
markdown 中不能嵌入图片，图片必须是独立的 img 元素
发送后 OpenClaw 的正常回复会重复，用 NO_REPLY 避免

Integration with SVG UI Templates

当需要专业级可视化时，结合 svg-ui-templates skill：

# 1. 生成 SVG（用模板或自定义）
# 2. 转 PNG
python3 -c "import cairosvg; cairosvg.svg2png(url='report.svg', write_to='report.png', output_width=2400)"
# 3. 用本 skill 上传并发送卡片

Default Chat ID

通过环境变量配置：FEISHU_DEFAULT_CHAT_ID（在 .env 中设置）

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.