chart-visualization

Q: How do I install chart-visualization?

Run npx skills add https://github.com/antvis/chart-visualization-skills --skill chart-visualization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/chart-visualization/ (personal) or .claude/skills/chart-visualization/ (project).

by antvisBackend & APIs

将数据可视化为图表。当用户需要生成柱状图、折线图、饼图、散点图、雷达图、桑基图、思维导图、流程图等图表时调用此技能，通过 curl 工具调用 AntV API 生成图表图片

Installs: 6.4K
Last 24h: —
Trending rank: —
Security: Pass

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/antvis/chart-visualization-skills --skill chart-visualization

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads chart-visualization automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill is designed to visualize user data by sending it to the AntV API via curl. It follows standard practices for data visualization agents. The destination API is an official resource of the vendor, and the functionality is consistent with its stated purpose.

Socket PassNo alerts

Snyk PassLOW ·Risk: LOW · No issues

Runlayer PassNONE ·28 files scanned · No issues

ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

请根据用户输入的内容，将数据可视化为图表。

步骤

分析用户数据和需求，选择最合适的图表类型
构造符合规范的 JSON 请求体
使用 curl 工具调用 API 生成图表图片
将返回的图片 URL 以 Markdown 图片格式输出

图表选择指南

根据用户的数据特征和需求，选择最合适的图表类型：

时间序列：用 line（趋势）或 area（累计趋势）；两个不同量纲用 dual-axes
比较类：用 bar（横向分类对比）或 column（纵向分类对比）；频率分布用 histogram
占比类：用 pie（比例构成）或 treemap（层级占比）
关系与流程：用 scatter（相关性）、sankey（流向）或 venn（集合重叠）
层级与树形：用 organization-chart 或 mind-map
专用类型：
- radar：多维度对比
- funnel：流程阶段转化
- liquid：百分比/进度
- word-cloud：文本词频
- boxplot / violin：统计分布
- network-graph：复杂节点关系
- fishbone-diagram：因果分析
- flow-diagram：流程图
- spreadsheet：结构化数据表或透视表

API 接口

POST https://antv-studio.alipay.com/api/gpt-vis

请求体为 JSON，必须包含 type 和 source: "chart-visualization-skills" 字段。

示例：

curl -X POST https://antv-studio.alipay.com/api/gpt-vis \
  -H "Content-Type: application/json" \
  -d '{"type":"line","source":"chart-visualization-skills","data":[{"time":"2025-01","value":100}],"title":"示例图表"}'

返回示例：

{"success":true,"resultObj":"https://..."}

将 resultObj 中的 URL 以 Markdown 图片格式输出：![图表](URL)

支持的图表类型

分类	图表类型
比较类	条形图(bar)、柱状图(column)、瀑布图(waterfall)、双轴图(dual-axes)
趋势类	面积图(area)、折线图(line)、散点图(scatter)
分布类	箱线图(boxplot)、直方图(histogram)、小提琴图(violin)、漏斗图(funnel)
占比类	饼图(pie)、水波图(liquid)、词云(word-cloud)
层级类	组织架构图(organization-chart)、思维导图(mind-map)、矩形树图(treemap)、桑基图(sankey)
关系类	关系图(network-graph)、韦恩图(venn)
流程类	流程图(flow-diagram)、鱼骨图(fishbone-diagram)
多维类	雷达图(radar)
表格类	表格/透视表(spreadsheet)

通用可选参数

参数	类型	默认值	说明
theme	string	"default"	主题："default" / "academy" / "dark"
width	number	600	图表宽度
height	number	400	图表高度
title	string	""	图表标题
style.texture	string	"default"	纹理："default" / "rough"（手绘风格）

带坐标轴的图表还支持：axisXTitle、axisYTitle。

各图表 data 格式

area / line: {time: string, value: number, group?: string}[]，可选 stack: boolean
bar: {category: string, value: number, group?: string}[]，可选 group / stack (默认 stack: true)
column: {category: string, value: number, group?: string}[]，可选 group (默认 true) / stack
scatter: {x: number, y: number, group?: string}[]
pie: {category: string, value: number}[]，可选 innerRadius: number (0-1)
radar: {name: string, value: number, group?: string}[]
funnel: {category: string, value: number}[]
waterfall: {category: string, value?: number, isTotal?: boolean, isIntermediateTotal?: boolean}[]
dual-axes: categories: string[], series: {type: "column"|"line", data: number[], axisYTitle?: string}[]
histogram: number[]，可选 binNumber: number
boxplot / violin: {category: string, value: number, group?: string}[]
liquid: percent: number (0-1)，可选 shape: "circle"|"rect"|"pin"|"triangle"
word-cloud: {text: string, value: number}[]
sankey: {source: string, target: string, value: number}[]，可选 nodeAlign
treemap: {name: string, value: number, children?: ...}[] (最深 3 层)
venn: {sets: string[], value: number, label?: string}[]
network-graph / flow-diagram: {nodes: {name: string}[], edges: {source: string, target: string, name?: string}[]}
fishbone-diagram / mind-map: {name: string, children?: ...} (最深 3 层)
organization-chart: {name: string, description?: string, children?: ...} (最深 3 层)，可选 orient: "horizontal"|"vertical"
spreadsheet: Record<string, string | number>[]，可选 rows / columns / values（透视表字段）

FAQ

What does the chart-visualization skill do?

How do I install chart-visualization?

Run npx skills add https://github.com/antvis/chart-visualization-skills --skill chart-visualization in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/chart-visualization/ (personal) or .claude/skills/chart-visualization/ (project).

Which AI agents can use chart-visualization?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is chart-visualization safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains chart-visualization?

It is published by antvis in antvis/chart-visualization-skills. It has 6,407 recorded installs.