BA

baoyu-infographic

Creates professional infographics from your content. Choose from 20+ layouts and 17+ visual styles to visualize data.

Install

mkdir -p .claude/skills/baoyu-infographic && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1063" && unzip -o skill.zip -d .claude/skills/baoyu-infographic && rm skill.zip

Installs to .claude/skills/baoyu-infographic

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Generate professional infographics with 21 layout types and 22 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".
269 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Selects from 21 distinct information structures
  • Applies 22 unique visual aesthetic styles
  • Analyzes text content for logical infographic mapping
  • Generates high-density visual data summaries
  • Supports integration with various image generation backends

How it works

Analyzes input text to determine the optimal layout × style combination and generates a high-density infographic representation.

Inputs & outputs

You give it
Dataset, summary, or process description
You get back
A publication-ready visual information graphic

When to use baoyu-infographic

  • Create an infographic summary
  • Visualize complex concepts
  • Generate a technical data graphic
  • Create a high-density information map

About this skill

Infographic Generator

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

User Input Tools

When this skill prompts the user, follow this tool-selection rule (priority order):

  1. Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
  2. Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
  3. Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.

Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.

Image Generation Tools

When this skill needs to render an image, resolve the backend in this order:

  1. Current-request override — if the user names a specific backend in the current message, use it.
  2. Saved preference — if EXTEND.md sets preferred_image_backend to a backend available right now, use it.
  3. Auto-select (when the preference is auto, unset, or the pinned backend isn't available):
    • Codex (imagegen) — first, inspect your available-skills / tool inventory. If a skill named imagegen is listed, you are running inside Codex and MUST use it: invoke via the Skill tool with skill: "imagegen", passing the saved prompt file's content (plus output path and aspect ratio per Codex imagegen's own args). Codex imagegen is the official raster backend in that runtime and outranks any non-native skill (e.g., baoyu-image-gen) unless the user has explicitly pinned a different preferred_image_backend.
    • Codex via codex exec (codex-imagegen) — if the current runtime exposes no native imagegen skill but the codex CLI is on PATH with an active codex login, route through baoyu-image-gen --provider codex-cli (preferred), or — if baoyu-image-gen is unavailable — invoke the bundled wrapper directly. Details, parameters, and the runtime-discovery procedure live in references/codex-imagegen.md — load that file only when this branch is selected.
    • Cursor (GenerateImage) — if the runtime exposes a native GenerateImage tool, you are running inside Cursor and it outranks any non-native skill the same way Codex imagegen does. Two hard caveats: (a) it has no aspect-ratio parameter — state the target aspect ratio / dimensions explicitly in the prompt text passed as description; (b) it does not accept an output directory — it saves to a tool-managed location, so after generation copy/move the file to the skill's expected output path (e.g., outputs/.../NN-xxx.png). Reference images go in reference_image_paths.
    • Other runtime-native tools — if the runtime exposes a different native image tool (e.g., Hermes image_generate), use it the same way.
    • Otherwise, if exactly one non-native backend is installed (e.g., baoyu-image-gen), use it.
    • Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
  4. If none are available, tell the user and ask how to proceed.

⛔ Never substitute SVG, HTML, canvas, or other code-based rendering for raster image generation. Codex imagegen's own description says it should be used "when the output should be a bitmap asset rather than repo-native code or vector." If you cannot resolve a raster backend via step 3, fall through to step 4 and ask the user — do not silently emit SVG, write inline <svg> markup, or produce HTML/CSS art as a substitute. This applies even if the article/section seems "diagram-like": the consumer skill calling this rule has already decided that a raster image is what it needs.

⛔ Never repair rendered text by painting over a generated bitmap. Do not use ImageMagick, Pillow, Canvas, SVG, HTML/CSS, OCR scripts, or any other programmatic overlay to cover, rewrite, erase, stroke, or replace labels, headings, callouts, data values, or any other text inside an already generated infographic. If text is wrong or unclear, regenerate from a corrected prompt, switch to a layout with less on-image text, or ask the user which imperfect candidate to keep.

Setting preferred_image_backend: ask forces the step-3 prompt every run regardless of available backends. Users change the pinned backend via the ## Changing Preferences section below.

Prompt file requirement (hard): write each image's full, final prompt to a standalone file under prompts/ (naming: NN-{type}-[slug].md) BEFORE invoking any backend. The backend receives the prompt file (or its content); the file is the reproducibility record and lets you switch backends without regenerating prompts.

Concrete tool names (imagegen, GenerateImage, image_generate, baoyu-image-gen) above are examples — substitute the local equivalents under the same rule.

Reference Images

Users may supply reference images to guide style, palette, composition, or subject.

Intake: Accept via --ref <files...> or when the user provides file paths / pastes images in conversation.

  • File path(s) → copy to refs/NN-ref-{slug}.{ext} alongside the output
  • Pasted image with no path → ask the user for the path (per the User Input Tools rule above), or extract style traits verbally as a text fallback
  • No reference → skip this section

Usage modes (per reference):

UsageEffect
directPass the file to the backend as a reference image
styleExtract style traits (line treatment, texture, mood) and append to the prompt body
paletteExtract hex colors from the image and append to the prompt body

Record in prompts/infographic.md frontmatter when refs exist:

references:
  - ref_id: 01
    filename: 01-ref-brand.png
    usage: direct

At generation time:

  • Verify each referenced file exists on disk
  • If usage: direct AND the chosen backend accepts reference images (e.g., baoyu-image-gen via --ref) → pass the file via the backend's ref parameter
  • Otherwise → embed extracted style/palette traits in the prompt text

Confirmation Policy

Default behavior: confirm before generation.

  • Treat explicit skill invocation, a file path, a matched keyword shortcut, EXTEND.md defaults, and the documented default combination as recommendation inputs only. None of them authorizes skipping confirmation.
  • Do not start Step 5 or Step 6 until the user confirms the combination/aspect/language/backend choices.
  • Skip confirmation only when the current request explicitly says to do so, for example: --no-confirm, "直接生成", "不用确认", "跳过确认", "按默认出图", or equivalent wording.
  • If confirmation is skipped explicitly, state the assumed combination/aspect/language/backend in the next user-facing update before generating.

Options

OptionValues
--layout21 options (see Layout Gallery), default: bento-grid
--style22 options (see Style Gallery), default: craft-handmade
--aspectNamed: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1)
--langen, zh, ja, etc.
--no-confirmSkip Step 4 only when the user explicitly requests direct generation without confirmation
--ref <files...>Reference images (file paths) for style / palette / composition / subject guidance

Layout Gallery (21)

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 live at references/layouts/<layout>.md.

Style Gallery (22)

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
hand-drawn-eduMacaron pastels, hand-drawn wobble, stick figures
retro-popup-popRetro popup collage, vintage UI, thick outlines, flat pop colors

Full definitions live at references/styles/<style>.md.

Recom


Content truncated.

When not to use it

  • For low-density simple text summaries
  • When specific brand-guideline templates are mandatory

Limitations

  • Complex data may lead to overly crowded visuals
  • Text clarity within images can vary by model
  • Does not support editable vector exports natively

How it compares

It uses an information-first layout methodology rather than a generic design template.

Compared to similar skills

baoyu-infographic side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
baoyu-infographic (this skill)121moNo flagsIntermediate
infographic-creation1203moReviewBeginner
algorithmic-art103moNo flagsIntermediate
kpi-dashboard-design112moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

baoyu-xhs-images

JimLiu

Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.

2051

baoyu-article-illustrator

JimLiu

Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style two-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".

1848

baoyu-comic

JimLiu

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

1329

baoyu-compress-image

JimLiu

Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.

1129

baoyu-cover-image

JimLiu

Generates article cover images with 5 dimensions (type, palette, rendering, text, mood) combining 9 color palettes and 6 rendering styles. Supports cinematic (2.35:1), widescreen (16:9), and square (1:1) aspects. Use when user asks to "generate cover image", "create article cover", or "make cover".

1020

baoyu-url-to-markdown

JimLiu

Fetch any URL and convert to markdown using Chrome CDP. Supports two modes - auto-capture on page load, or wait for user signal (for pages requiring login). Use when user wants to save a webpage as markdown.

942

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