Agent skill

Infographic Creation

by nicepkg in nicepkg/ai-workflow

Create beautiful infographics based on the given text content.

MITAuto-check passedMedia & Creative

Install Infographic Creation

skills CLI
$ npx skills add nicepkg/ai-workflow --skill infographic-creation -a claude-code

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

GitHub CLI
$ gh skill install nicepkg/ai-workflow infographic-creation --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/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/talk-to-slidev-workflow/.claude/skills/infographic-creation .claude/skills/infographic-creation && 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-creation
GitHub stars
285
Token cost
~3.8k tokens
SKILL.md length
1,039 words
Files
1
Skills in repo
61
Repo updated
First seen
Licence
MIT

At a glance

Create beautiful infographics based on the given text content.

  • Works in 2 steps: Understanding User Requirements → Rendering the Infographic
  • S request creating infographics
  • SKILL.md covers SPECs and Creation Process
  • Reaches unpkg.com and api.iconify.design

What it does

Infographic Creation is an agent skill from nicepkg/ai-workflow. Create beautiful infographics based on the given text content. Use this when users request creating infographics.

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Infographics. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.

When your agent uses it

  • S request creating infographics
  • Tasks that involve Infographics

Example prompts

  • “/infographic-creation”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Understanding User Requirements
  2. Rendering the Infographic

What it can do on your machine

Read from SKILL.md and the folder at commit d167b41. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are plain, typescript and html).

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • unpkg.com
    • api.iconify.design
    • raw.githubusercontent.com

    Also links to:

    • infographic.antv.vision
    • icon-sets.iconify.design
    • undraw.co

    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 Creation loads about 3.8k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 1,039 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 1,039 words, ~3,838 tokens.

Download SKILL.mdSave it as .claude/skills/infographic-creation/SKILL.md (or your agent's skills folder).
name
infographic-creation
description
Create beautiful infographics based on the given text content. Use this when users request creating infographics.

An infographic (Infographic) transforms data, information, and knowledge into perceivable visual language. It combines visual design with data visualization, using intuitive symbols to compress complex information and help audiences quickly understand and remember key points.

Infographic = Information Structure + Visual Expression

This is a task that utilizes AntV Infographic to create visual infographics.

Before you start the task, you need to understand the AntV Infographic Syntax specification, including template lists, data structures, themes, and more.

SPECs

AntV Infographic Syntax

AntV Infographic Syntax is a mermaid-like DSL for describing infographic rendering configuration. It uses indentation to describe information, has strong robustness, and makes it easy to render infographics through AI streaming output. It mainly contains the following information:

  1. template: Use template to express text information structure.
  2. data: the infographic data, which contains title, desc, items, etc. The items is an array containing label, value, desc, icon, children, etc.
  3. theme: Theme contains palette, font, and other styling options.

e.g.:

plain
infographic list-row-horizontal-icon-arrow
data
  title Title
  desc Description
  items
    - label Label
      value 12.5
      desc Explanation
      icon mdi/rocket-launch
theme
  palette #3b82f6 #8b5cf6 #f97316
The Syntax
  • The first line starts with infographic <template-name>, and the template is selected from the list below (the Available Templates section).

  • Use blocks to describe data / theme, with two-space indentation

  • Key-value pairs are expressed as "key value", and arrays are expressed as "-" items

  • The icon value is provided directly with keywords or icon names (such as mdi/chart-line)

  • data should contain title/desc/items (which can be omitted according to semantics)

  • data.items should contain label(string)/value(number)/desc(string)/icon(string)/children(object), where children represents the hierarchical structure

  • For comparison templates (template names starting with compare-), construct exactly two root nodes and place every comparison item under them as children to keep the hierarchy clear

  • theme field is for customizing the theme of the infographic, including palette, font, etc. e.g. dark theme with custom palette:

    plain
    infographic list-row-simple-horizontal-arrow
    theme dark
      palette
        - #61DDAA
        - #F6BD16
        - #F08BB4
    data
      items
        - label Step 1
          desc Start
        - label Step 2
          desc In Progress
        - label Step 3
          desc Complete
  • Use theme.base.text.font-family to specify fonts, such as the handwriting style '851tegakizatsu'

  • Use theme.stylize to select built-in styles and pass parameters Common stylization types include:

    • rough: Apply hand-drawn style to make graphics look like they were drawn by hand.
    • pattern: Apply pattern fill to add repeated pattern effects to graphics.
    • linear-gradient / radial-gradient: Apply gradient fill to add linear or radial gradient effects to graphics.

    e.g: Hand-drawn style (rough):

    plain
    infographic list-row-simple-horizontal-arrow
    theme
      stylize rough
      base
        text
          font-family 851tegakizatsu
    data
      items
        - label Step 1
          desc Start
        - label Step 2
          desc In Progress
        - label Step 3
          desc Complete

Typescript definition for data field:

ts
interface Data {
  title?: string;
  desc?: string;
  items: ItemDatum[];
  [key: string]: any;
}

interface ItemDatum {
  icon?: string;
  label?: string;
  desc?: string;
  value?: number;
  illus?: string;
  children?: ItemDatum[];
  [key: string]: any;
}
Icon and Illustration Resources

Icons (from Iconify):

  • Format: <collection>/<icon-name>, e.g., mdi/rocket-launch
  • Popular collections:
    • mdi/* - Material Design Icons (most commonly used)
    • fa/* - Font Awesome
    • bi/* - Bootstrap Icons
    • heroicons/* - Heroicons
  • Browse at: https://icon-sets.iconify.design/
  • Common icon examples:
    • Tech: mdi/code-tags, mdi/database, mdi/api, mdi/cloud
    • Business: mdi/chart-line, mdi/briefcase, mdi/currency-usd
    • Process: mdi/check-circle, mdi/arrow-right, mdi/cog
    • People: mdi/account, mdi/account-group, mdi/shield-account

Illustrations (from unDraw):

  • Format: illustration filename (without .svg), e.g., coding
  • Browse at: https://undraw.co/illustrations
  • Common themes:
    • Tech: coding, programmer, server, cloud-sync
    • Business: business-plan, team-work, analytics
    • Abstract: abstract, building-blocks, connection
  • Note: Use sparingly as illustrations are larger and more detailed than icons

Usage Tips:

  • For sequence-* and list-* templates → use icon
  • For larger illustration needs → use illus
  • Not all templates support both icon and illus - refer to template examples
Available Templates
  • sequence-zigzag-steps-underline-text
  • sequence-horizontal-zigzag-underline-text
  • sequence-horizontal-zigzag-simple-illus
  • sequence-circular-simple
  • sequence-filter-mesh-simple
  • sequence-mountain-underline-text
  • sequence-cylinders-3d-simple
  • sequence-color-snake-steps-horizontal-icon-line
  • sequence-pyramid-simple
  • sequence-roadmap-vertical-simple
  • sequence-roadmap-vertical-plain-text
  • sequence-zigzag-pucks-3d-simple
  • sequence-ascending-steps
  • sequence-ascending-stairs-3d-underline-text
  • sequence-snake-steps-compact-card
  • sequence-snake-steps-underline-text
  • sequence-snake-steps-simple
  • sequence-stairs-front-compact-card
  • sequence-stairs-front-pill-badge
  • sequence-timeline-simple
  • sequence-timeline-rounded-rect-node
  • sequence-timeline-simple-illus
  • compare-binary-horizontal-simple-fold
  • compare-hierarchy-left-right-circle-node-pill-badge
  • compare-swot
  • quadrant-quarter-simple-card
  • quadrant-quarter-circular
  • quadrant-simple-illus
  • relation-circle-icon-badge
  • relation-circle-circular-progress
  • compare-binary-horizontal-badge-card-arrow
  • compare-binary-horizontal-underline-text-vs
  • hierarchy-tree-tech-style-capsule-item
  • hierarchy-tree-curved-line-rounded-rect-node
  • hierarchy-tree-tech-style-badge-card
  • chart-column-simple
  • chart-bar-plain-text
  • chart-line-plain-text
  • chart-pie-plain-text
  • chart-pie-compact-card
  • chart-pie-donut-plain-text
  • chart-pie-donut-pill-badge
  • chart-wordcloud
  • list-grid-badge-card
  • list-grid-candy-card-lite
  • list-grid-ribbon-card
  • list-row-horizontal-icon-arrow
  • list-row-simple-illus
  • list-sector-plain-text
  • list-column-done-list
  • list-column-vertical-icon-arrow
  • list-column-simple-vertical-arrow

Template Selection Guidelines:

  • For strict sequential order: processes/steps/development trends → sequence-* series
    • Timeline → sequence-timeline-*
    • Staircase diagram → sequence-stairs-*
    • Roadmap → sequence-roadmap-vertical-*
    • Zigzag steps → sequence-zigzag-*
    • Circular progress → sequence-circular-simple
    • Color snake steps → sequence-color-snake-steps-*
    • Pyramid diagram → sequence-pyramid-simple
  • For listing viewpoints → list-row-* series or list-column-* series
  • For comparative analysis (comparing pros and cons of two parties) → compare-binary-* series
  • For SWOT analysis → compare-swot
  • For hierarchical structure (tree diagram) → hierarchy-tree-*
  • For data charts → chart-* series
  • For quadrant analysis → quadrant-* series
  • For grid lists (bullet points) → list-grid-* series
  • For relationship display → relation-circle-*
  • For word cloud → chart-wordcloud
Show full SKILL.md (396 more words)Show less
Example

Draw an information graph of the Internet technology evolution

plain
infographic list-row-horizontal-icon-arrow
data
  title Internet Technology Evolution
  desc From Web 1.0 to AI era, key milestones
  items
    - time 1991
      label Web 1.0
      desc Tim Berners-Lee published the first website, opening the Internet era
      icon mdi/web
    - time 2004
      label Web 2.0
      desc Social media and user-generated content become mainstream
      icon mdi/account-multiple
    - time 2007
      label Mobile
      desc iPhone released, smartphone changes the world
      icon mdi/cellphone
    - time 2015
      label Cloud Native
      desc Containerization and microservices architecture are widely used
      icon mdi/cloud
    - time 2020
      label Low Code
      desc Visual development lowers the technology threshold
      icon mdi/application-brackets
    - time 2023
      label AI Large Model
      desc ChatGPT ignites the generative AI revolution
      icon mdi/brain
Example 2: Using Illustrations
plain
infographic sequence-horizontal-zigzag-simple-illus
data
  title Product Development Phases
  desc Key stages in our development process
  items
    - label Research
      desc Understanding user needs
      illus user-research
    - label Design
      desc Creating user experience
      illus design-thinking
    - label Development
      desc Building the product
      illus coding
    - label Launch
      desc Going to market
      illus launch-day

Creation Process

Step 1: Understanding User Requirements

Before creating the infographic, it is important to understand the user's requirements and the information they want to present. This will help in defining the template and the data structure.

If the user provides a clear and concise description of the information they want to present, break down the information into a clear and concise structure.

Otherwise, ask the user for clarification (e.g., "Please provide a clear and concise description of the information you want to present.", "Which template would you prefer to use?")

  • Extract key information structure (title, description, items, etc).
  • Identify the required data fields (e.g., title, description, items, labels, values, icons, etc.).
  • Select an appropriate template.
  • Use the AntV Infographic Syntax to describe the content of the infographic {syntax}.

CRITICAL NOTE: Must respect the language of the user's input content. e.g. if the user's input content is in Chinese, the text content in infographic syntax must be in Chinese.

Step 2: Rendering the Infographic

Once you have the final AntV Infographic Syntax, you can generate the complete infographic HTML file by following these steps:

  1. Create a complete HTML file with the following structure:
    • DOCTYPE and HTML meta tags (charset: utf-8)
    • Title: {title} - Infographic
    • Include AntV Infographic library script: https://unpkg.com/@antv/infographic@latest/dist/infographic.min.js
    • Add a resource loader script that handles icon loading from Iconify and illustration loading from unDraw
    • Create a container div with id container where the infographic will render
    • Initialize the Infographic instance with width: '100%' and height: '100%'
    • Replace the placeholder {title} with the actual title
    • Replace the placeholder {syntax} with the actual AntV Infographic Syntax
    • Include export functionality that allows users to download the infographic as SVG const svgDataUrl = await infographic.toDataURL({ type: 'svg' });

The Html template you can follow:

html
<div id="container"></div>
<script src="https://unpkg.com/@antv/infographic@latest/dist/infographic.min.js"></script>
<script>
// Resource Loader Script
// Use the following resource loader script to handle icon and illustration loading:
const svgTextCache = new Map();
const pendingRequests = new Map();

AntVInfographic.registerResourceLoader(async (config) => {
    const { data, scene } = config;

    try {
        const key = `${scene}::${data}`;
        let svgText;

        // 1. Check cache
        if (svgTextCache.has(key)) {
            svgText = svgTextCache.get(key);
        }
        // 2. Check if request is already in progress
        else if (pendingRequests.has(key)) {
            svgText = await pendingRequests.get(key);
        }
        // 3. Make new request
        else {
            const fetchPromise = (async () => {
                try {
                    let url;

                    if (scene === 'icon') {
                        url = `https://api.iconify.design/${data}.svg`;
                    } else if (scene === 'illus') {
                        url = `https://raw.githubusercontent.com/balazser/undraw-svg-collection/refs/heads/main/svgs/${data}.svg`;
                    } else return null;

                    if (!url) return null;

                    const response = await fetch(url, { referrerPolicy: 'no-referrer' });

                    if (!response.ok) {
                        console.error(`HTTP ${response.status}: Failed to load ${url}`);
                        return null;
                    }

                    const text = await response.text();

                    if (!text || !text.trim().startsWith('<svg')) {
                        console.error(`Invalid SVG content from ${url}`);
                        return null;
                    }

                    svgTextCache.set(key, text);
                    return text;
                } catch (fetchError) {
                    console.error(`Failed to fetch resource ${key}:`, fetchError);
                    return null;
                }
            })();

            pendingRequests.set(key, fetchPromise);

            try {
                svgText = await fetchPromise;
            } catch (error) {
                pendingRequests.delete(key);
                console.error(`Error loading resource ${key}:`, error);
                return null;
            } finally {
                pendingRequests.delete(key);
            }
        }

        if (!svgText) {
            return null;
        }

        const resource = AntVInfographic.loadSVGResource(svgText);

        if (!resource) {
            console.error(`loadSVGResource returned null for ${key}`);
            svgTextCache.delete(key);
            return null;
        }

        return resource;
    } catch (error) {
        console.error('Unexpected error in resource loader:', error);
        return null;
    }
});
</script>
<script>
 const infographic = new AntVInfographic.Infographic({
    container: '#container',
    width: '100%',
    height: '100%',
  });
  infographic.render(`{syntax}`);
</script>
  1. Write the HTML file named <title>-infographic.html using the Write tool

  2. Display to the user:

    • The generated file path with instruction: "Open this file directly in a browser to view and save the SVG"
    • Display your output syntax with instruction: "If you need to adjust the template/colors/content, just let me know"

Note: The HTML file must include:

  • Complete resource loader for handling icon and illustration assets from external sources
  • SVG export functionality via the export button
  • Responsive container that takes 100% width and height
  • Proper error handling for failed resource loads

© nicepkg, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in workflows/talk-to-slidev-workflow/.claude/skills/infographic-creation of nicepkg/ai-workflow.

Open the folder on GitHubat commit d167b41

Compare with similar skills

Infographic Creation 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 Creation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Infographic Creation this skillnicepkg/ai-workflow285—~3.8kAutomated safety check: PassMIT
Visual Explainernicobailon/visual-explainer10k—~3.3kAutomated safety check: PassMIT
Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video2.5k—~3.6kAutomated safety check: PassMIT
Image Generationonyx-dot-app/onyx32k1 repos~1.7kAutomated safety check: PassCustom licence
Math ExplainerGordenSun/mathVideoMaker2891 repos~2.4kAutomated safety check: PassNone
SEO Image GeneratorAgriciDaniel/claude-seo18k2 repos~2.1kAutomated safety check: PassMIT

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Questions about Infographic Creation

What does Infographic Creation do?

Create beautiful infographics based on the given text content. Infographic Creation is an agent skill from nicepkg/ai-workflow. Create beautiful infographics based on the given text content.

When should I use Infographic Creation?

Infographic Creation fits situations like: S request creating infographics; tasks that involve Infographics.

How do I install Infographic Creation in Claude Code?

Run `npx skills add nicepkg/ai-workflow --skill infographic-creation -a claude-code`. Or copy the skill folder (workflows/talk-to-slidev-workflow/.claude/skills/infographic-creation in nicepkg/ai-workflow) into .claude/skills/infographic-creation in your project. Claude Code loads it when a task matches its description.

How do I install Infographic Creation in Codex?

Run `npx skills add nicepkg/ai-workflow --skill infographic-creation -a codex`. Or copy the skill folder (workflows/talk-to-slidev-workflow/.claude/skills/infographic-creation in nicepkg/ai-workflow) into .agents/skills/infographic-creation in your project. Codex loads it when a task matches its description.

Can I use Infographic Creation 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 nicepkg/ai-workflow --skill infographic-creation -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-creation, .gemini/skills/infographic-creation, .github/skills/infographic-creation and .opencode/skills/infographic-creation in your project.

What does Infographic Creation need to run?

SKILL.md names no scripts, command-line tools or credentials: Infographic Creation is instructions for the agent only.

Does Infographic Creation access the network?

SKILL.md names 6 domains. In commands or code: unpkg.com, api.iconify.design and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. As links in the text: infographic.antv.vision, icon-sets.iconify.design and undraw.co. This is read from the text; nothing was executed.

Is Infographic Creation 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. Review the folder before installing.

What licence does Infographic Creation use?

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

How many tokens does Infographic Creation use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Infographic Creation?

Skills that share tags, products or a category with Infographic Creation: Visual Explainer (nicobailon/visual-explainer, 10k stars), Lanshu Create AI Presenter Video (cclank/lanshu-create-ai-presenter-video, 2.5k stars), Image Generation (onyx-dot-app/onyx, 32k stars) and Math Explainer (GordenSun/mathVideoMaker, 289 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Infographic Creation?

nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on January 20, 2026.

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