Agent skill

Infographic

by ZJU-REAL in ZJU-REAL/Easel

将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report

Apache-2.0Auto-check passedMedia & Creative

Install Infographic

skills CLI
$ npx skills add ZJU-REAL/Easel --skill infographic -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel infographic --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/infographic .claude/skills/infographic && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
infographic
GitHub stars
3.4k
Token cost
~643 tokens
SKILL.md length
126 words
Files
5 (incl. scripts, references)
Skills in repo
114
Repo updated
First seen
Licence
Apache-2.0

At a glance

将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report

  • Works in 2 steps: 静态信息图(AntV Infographic)—… → 动画 GIF(scripts/gif_chart.py)— 条形竞赛 /…
  • Tasks that involve Infographics
  • SKILL.md covers 与其他图表 SKILL 的区别, 输入, 输出 and 执行步骤, plus 1 more section
  • Runs Python scripts from its folder; calls python

What it does

Infographic is an agent skill from ZJU-REAL/Easel. 将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report

Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `EASEL-META.md`, `references/antv-templates.md` and `references/gif-charts.md`).

It sits in Media & Creative, covering Infographics, Startup and business strategy and CSV and tabular files. The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Infographics
  • Tasks that involve Startup and business strategy
  • Tasks that involve CSV and tabular files

Example prompts

  • “/infographic”

Requirements

  • Python 3

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. 静态信息图(AntV Infographic)— 列表、流程、对比、层级、关系图等 50+ 模板,矢量渲染,可导出 SVG
  2. 动画 GIF(scripts/gif_chart.py)— 条形竞赛 / 数字滚动 / 进度 / 折线生长 4 类爆款动画,直接产出 GIF

What it can do on your machine

Read from SKILL.md and the folder at commit ede33b8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Infographic loads about 643 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~643
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit ede33b8, republished under its Apache-2.0 licence (© ZJU-REAL). 126 words, ~643 tokens.

Download SKILL.mdSave it as .claude/skills/infographic/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
infographic
description
将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report
layer
produce

信息图制作

将数据或文字内容转化为可视化信息图,支持静态 AntV 信息图和动画 GIF 两种输出模式

与其他图表 SKILL 的区别

都能"生成图表",但机制与产物不同,按需求路由:

  • infographic(本 SKILL) = 本地渲染。两种产物:静态信息图(AntV DSL,列表/流程/对比/层级 HTML→SVG)+ GIF 动画图表(matplotlib 逐帧→GIF)。
  • chart-visualization = 调 AntV 远程 API,产出单张静态图片 URL(25+ 类型),最快拿到单图。
  • data-report = 输入 CSV/Excel/JSON,产出整页可视化报告(KPI 卡 + 多图 + 洞察 + 表格)。

两模式边界:要静态矢量信息图(可导出 SVG、模板丰富)→ 模式 A;要会动的 GIF(发社媒/朋友圈的动图,如条形竞赛、数字滚动、进度动画、折线生长)→ 模式 B。

输入

用户提供的文字内容、数据、或主题描述。可以是结构化数据(CSV/JSON)、自然语言描述、或简单的数字罗列。

输出

  • 静态模式:outputs/主题名/infographic.html(浏览器打开,可导出 SVG)
  • 动画模式:outputs/主题名/chart.gif(scripts/gif_chart.py 直接产出可发社媒的 GIF)

执行步骤

第一步:确认输出模式

询问用户选择输出格式:

  1. 静态信息图(AntV Infographic)— 列表、流程、对比、层级、关系图等 50+ 模板,矢量渲染,可导出 SVG
  2. 动画 GIF(scripts/gif_chart.py)— 条形竞赛 / 数字滚动 / 进度 / 折线生长 4 类爆款动画,直接产出 GIF

如用户需求明确(如"做个条形竞赛动图"或"做个流程图"),直接选择对应模式,无需确认。

第二步:分析内容与选择图表

分析用户输入,提取关键信息结构(标题、描述、数据项等)。选择合适的模板/图表类型。

关键:必须尊重用户输入的语言。用户用中文输入,所有文本必须是中文。

第三步:渲染
  • 模式 A(静态 AntV) → 读 references/antv-templates.md:DSL 语法规则、模板选择指南、可用模板列表、HTML 渲染模板。生成 HTML 保存到 outputs/,告知路径。

  • 模式 B(动画 GIF) → 调 scripts/gif_chart.py <子命令>,无需手写动画代码。子命令按图型:

    子命令用途数据 JSON 结构
    bar-race条形竞赛(排名随时间变化,数据可视化爆款){"title","times":[...],"series":{"名称":[数值×时间]}}
    count-up数字滚动增长(KPI 从 0 涨到目标){"title","items":[{"label","value","suffix"}]} 或 {"label","value"}
    progress进度动画(--style ring/bar){"label","value","max","color"}
    line-grow折线逐步生长{"title","x":[...],"series":{"名称":[数值]}}

    通用参数:--output x.gif、--data f.json(- 读 stdin,省略用内置示例)、--title、--width(默认 900)、--height、--fps(默认 20)、--duration(秒,默认 4)。

    典型调用(先写数据到临时 JSON,再调脚本):

    bash
    python skills/openclaw/infographic/scripts/gif_chart.py bar-race --data data.json \
      --output outputs/城市增长/柱状竞速.gif --width 900 --duration 5

    脚本自动设置中文字体、Agg 后端、自适应调色板控体积。自检:python skills/openclaw/infographic/scripts/gif_chart.py --selftest。

目录结构

infographic/
├── SKILL.md                    本文件(执行流程 + references 指针)
├── scripts/
│   └── gif_chart.py            模式 B:动画 GIF 运行时(matplotlib+Pillow,4 子命令)
└── references/
    ├── antv-templates.md       模式 A:静态 AntV 信息图完整规范
    └── gif-charts.md           模式 B:图表选择/数据格式参考

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/openclaw/infographic of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/antv-templates.md
  • references/gif-charts.md
  • scripts/gif_chart.py

Open the folder on GitHubat commit ede33b8

Compare with similar skills

Infographic next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Infographic compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Infographic this skillZJU-REAL/Easel3.4k—~643Automated safety check: PassApache-2.0
Exec Reportpnp/sharepoint-skills133—~2kAutomated safety check: PassMIT
Visual Explainernicobailon/visual-explainer10k—~3.5kAutomated safety check: PassMIT
Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video2.6k—~3.6kAutomated safety check: PassMIT
Image Generationonyx-dot-app/onyx32k1 repos~1.7kAutomated safety check: PassCustom licence
Math ExplainerGordenSun/mathVideoMaker2901 repos~2.4kAutomated safety check: PassNone

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Questions about Infographic

What does Infographic do?

将数据或文字内容转化为可视化信息图,支持静态(AntV)和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画;要单张静态图片 URL 用 chart-visualization,要 CSV/JSON→整页报告用 data-report. Infographic is an agent skill from ZJU-REAL/Easel.

When should I use Infographic?

Infographic fits situations like: tasks that involve Infographics; tasks that involve Startup and business strategy; tasks that involve CSV and tabular files.

How do I install Infographic in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill infographic -a claude-code`. Or copy the skill folder (skills/openclaw/infographic in ZJU-REAL/Easel) into .claude/skills/infographic in your project. Claude Code loads it when a task matches its description.

How do I install Infographic in Codex?

Run `npx skills add ZJU-REAL/Easel --skill infographic -a codex`. Or copy the skill folder (skills/openclaw/infographic in ZJU-REAL/Easel) into .agents/skills/infographic in your project. Codex loads it when a task matches its description.

Can I use Infographic in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill infographic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/infographic, .gemini/skills/infographic, .github/skills/infographic and .opencode/skills/infographic in your project.

What does Infographic need to run?

Going by SKILL.md and its folder, Infographic needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Infographic access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Infographic safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Infographic use?

Infographic is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Infographic use?

About 643 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Infographic?

Skills that share tags, products or a category with Infographic: Exec Report (pnp/sharepoint-skills, 133 stars), Visual Explainer (nicobailon/visual-explainer, 10k stars), Lanshu Create AI Presenter Video (cclank/lanshu-create-ai-presenter-video, 2.6k stars) and Image Generation (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Infographic?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,441 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 11, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.