Baoyu Infographic logo

Baoyu Infographic

Organization
ECNU-ICALK
baoyu-infographic

Generates professional infographics with 21 layout types and 20 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图".

Overview

PublisherECNU-ICALK
RepositoryAutoSkill
Skill namebaoyu-infographic
Stars
587
Forks
56
Bundled files
44
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 44 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ECNU-ICALK on GitHub. Read the source before you install it.

Installation

Install the Baoyu Infographic AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ECNU-ICALK/AutoSkill.git /tmp/AutoSkill
mkdir -p .claude/skills
cp -r /tmp/AutoSkill/SkillBank/Common/baoyu-skills/baoyu-infographic .claude/skills/baoyu-infographic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Baoyu Infographic in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Baoyu Infographic on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Baoyu Infographic is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Infographic Generator

Two dimensions: layout (information structure) × style (visual aesthetics). Freely combine any layout with any style.

Usage

bash
/baoyu-infographic path/to/content.md
/baoyu-infographic path/to/content.md --layout hierarchical-layers --style technical-schematic
/baoyu-infographic path/to/content.md --aspect portrait --lang zh
/baoyu-infographic  # then paste content

Options

OptionValues
--layout21 options (see Layout Gallery), default: bento-grid
--style20 options (see Style Gallery), default: craft-handmade
--aspectlandscape (16:9), portrait (9:16), square (1:1)
--langen, zh, ja, etc.

Layout Gallery

LayoutBest For
linear-progressionTimelines, processes, tutorials
binary-comparisonA vs B, before-after, pros-cons
comparison-matrixMulti-factor comparisons
hierarchical-layersPyramids, priority levels
tree-branchingCategories, taxonomies
hub-spokeCentral concept with related items
structural-breakdownExploded views, cross-sections
bento-gridMultiple topics, overview (default)
icebergSurface vs hidden aspects
bridgeProblem-solution
funnelConversion, filtering
isometric-mapSpatial relationships
dashboardMetrics, KPIs
periodic-tableCategorized collections
comic-stripNarratives, sequences
story-mountainPlot structure, tension arcs
jigsawInterconnected parts
venn-diagramOverlapping concepts
winding-roadmapJourney, milestones
circular-flowCycles, recurring processes
dense-modulesHigh-density modules, data-rich guides

Full definitions: references/layouts/<layout>.md

Style Gallery

StyleDescription
craft-handmadeHand-drawn, paper craft (default)
claymation3D clay figures, stop-motion
kawaiiJapanese cute, pastels
storybook-watercolorSoft painted, whimsical
chalkboardChalk on black board
cyberpunk-neonNeon glow, futuristic
bold-graphicComic style, halftone
aged-academiaVintage science, sepia
corporate-memphisFlat vector, vibrant
technical-schematicBlueprint, engineering
origamiFolded paper, geometric
pixel-artRetro 8-bit
ui-wireframeGrayscale interface mockup
subway-mapTransit diagram
ikea-manualMinimal line art
knollingOrganized flat-lay
lego-brickToy brick construction
pop-laboratoryBlueprint grid, coordinate markers, lab precision
morandi-journalHand-drawn doodle, warm Morandi tones
retro-pop-grid1970s retro pop art, Swiss grid, thick outlines

Full definitions: references/styles/<style>.md

Recommended Combinations

Content TypeLayout + Style
Timeline/Historylinear-progression + craft-handmade
Step-by-steplinear-progression + ikea-manual
A vs Bbinary-comparison + corporate-memphis
Hierarchyhierarchical-layers + craft-handmade
Overlapvenn-diagram + craft-handmade
Conversionfunnel + corporate-memphis
Cyclescircular-flow + craft-handmade
Technicalstructural-breakdown + technical-schematic
Metricsdashboard + corporate-memphis
Educationalbento-grid + chalkboard
Journeywinding-roadmap + storybook-watercolor
Categoriesperiodic-table + bold-graphic
Product Guidedense-modules + morandi-journal
Technical Guidedense-modules + pop-laboratory
Trendy Guidedense-modules + retro-pop-grid

Default: bento-grid + craft-handmade

Keyword Shortcuts

When user input contains these keywords, auto-select the associated layout and offer associated styles as top recommendations in Step 3. Skip content-based layout inference for matched keywords.

If a shortcut has Prompt Notes, append them to the generated prompt (Step 5) as additional style instructions.

User KeywordLayoutRecommended StylesDefault AspectPrompt Notes
高密度信息大图 / high-density-infodense-modulesmorandi-journal, pop-laboratory, retro-pop-gridportrait
信息图 / infographicbento-gridcraft-handmadelandscapeMinimalist: clean canvas, ample whitespace, no complex background textures. Simple cartoon elements and icons only.

Output Structure

infographic/{topic-slug}/
├── source-{slug}.{ext}
├── analysis.md
├── structured-content.md
├── prompts/infographic.md
└── infographic.png

Slug: 2-4 words kebab-case from topic. Conflict: append -YYYYMMDD-HHMMSS.

Core Principles

  • Preserve all source data verbatim—no summarization or rephrasing
  • Define learning objectives before structuring content
  • Structure for visual communication (headlines, labels, visual elements)

Workflow

Step 1: Setup & Analyze

1.1 Load Preferences (EXTEND.md)

Use Bash to check EXTEND.md existence (priority order):

bash
# Check project-level first
test -f .baoyu-skills/baoyu-infographic/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-infographic/EXTEND.md" && echo "user"

┌────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├────────────────────────────────────────────────────┼───────────────────┤ │ .baoyu-skills/baoyu-infographic/EXTEND.md │ Project directory │ ├────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.baoyu-skills/baoyu-infographic/EXTEND.md │ User home │ └────────────────────────────────────────────────────┴───────────────────┘

┌───────────┬───────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, display summary │ ├───────────┼───────────────────────────────────────────────────────────────────────────┤ │ Not found │ Ask user with AskUserQuestion (see references/config/first-time-setup.md) │ └───────────┴───────────────────────────────────────────────────────────────────────────┘

EXTEND.md Supports: Preferred layout/style | Default aspect ratio | Custom style definitions | Language preference

Schema: references/config/preferences-schema.md

1.2 Analyze Content → analysis.md

  1. Save source content (file path or paste → source.md)
    • Backup rule: If source.md exists, rename to source-backup-YYYYMMDD-HHMMSS.md
  2. Analyze: topic, data type, complexity, tone, audience
  3. Detect source language and user language
  4. Extract design instructions from user input
  5. Save analysis
    • Backup rule: If analysis.md exists, rename to analysis-backup-YYYYMMDD-HHMMSS.md

See references/analysis-framework.md for detailed format.

Step 2: Generate Structured Content → structured-content.md

Transform content into infographic structure:

  1. Title and learning objectives
  2. Sections with: key concept, content (verbatim), visual element, text labels
  3. Data points (all statistics/quotes copied exactly)
  4. Design instructions from user

Rules: Markdown only. No new information. All data verbatim.

See references/structured-content-template.md for detailed format.

Step 3: Recommend Combinations

3.1 Check Keyword Shortcuts first: If user input matches a keyword from the Keyword Shortcuts table, auto-select the associated layout and prioritize associated styles as top recommendations. Skip content-based layout inference.

3.2 Otherwise, recommend 3-5 layout×style combinations based on:

  • Data structure → matching layout
  • Content tone → matching style
  • Audience expectations
  • User design instructions

Step 4: Confirm Options

Use single AskUserQuestion call with multiple questions to confirm all options together:

QuestionWhenOptions
CombinationAlways3+ layout×style combos with rationale
AspectAlwayslandscape (16:9), portrait (9:16), square (1:1)
LanguageOnly if source ≠ user languageLanguage for text content

Important: Do NOT split into separate AskUserQuestion calls. Combine all applicable questions into one call.

Step 5: Generate Prompt → prompts/infographic.md

Backup rule: If prompts/infographic.md exists, rename to prompts/infographic-backup-YYYYMMDD-HHMMSS.md

Combine:

  1. Layout definition from references/layouts/<layout>.md
  2. Style definition from references/styles/<style>.md
  3. Base template from references/base-prompt.md
  4. Structured content from Step 2
  5. All text in confirmed language

Step 6: Generate Image

  1. Select available image generation skill (ask user if multiple)
  2. Check for existing file: Before generating, check if infographic.png exists
    • If exists: Rename to infographic-backup-YYYYMMDD-HHMMSS.png
  3. Call with prompt file and output path
  4. On failure, auto-retry once

Step 7: Output Summary

Report: topic, layout, style, aspect, language, output path, files created.

References

  • references/analysis-framework.md - Analysis methodology
  • references/structured-content-template.md - Content format
  • references/base-prompt.md - Prompt template
  • references/layouts/<layout>.md - 21 layout definitions
  • references/styles/<style>.md - 20 style definitions

Extension Support

Custom configurations via EXTEND.md. See Step 1.1 for paths and supported options.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Baoyu Infographic AI skill do?

Generates professional infographics with 21 layout types and 20 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", "可视化", or "高密度信息大图".

Why use Baoyu Infographic on TypingMind?

Because you install it once and use it with any model. Baoyu Infographic is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Baoyu Infographic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/Common/baoyu-skills/baoyu-infographic. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Baoyu Infographic?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Baoyu Infographic?

As many as you like. As long as a model supports skills, you can use Baoyu Infographic with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Baoyu Infographic AI skill free?

It is published on GitHub by ECNU-ICALK. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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