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".
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Claude Sonnet 4.5
$0.20/task
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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):
Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion, request_user_input, clarify, ask_user, or any equivalent.
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.
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:
Current-request override — if the user names a specific backend in the current message, use it.
Saved preference — if EXTEND.md sets preferred_image_backend to a backend available right now, use it.
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-imagine) unless the user has explicitly pinned a different preferred_image_backend.
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-imagine), use it.
Otherwise (multiple non-native backends with no runtime-native tool), ask the user once — batch with any other initial questions.
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.
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, image_generate, baoyu-imagine) 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):
Usage
Effect
direct
Pass the file to the backend as a reference image
style
Extract style traits (line treatment, texture, mood) and append to the prompt body
palette
Extract 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-imagine 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
Option
Values
--layout
21 options (see Layout Gallery), default: bento-grid
--style
22 options (see Style Gallery), default: craft-handmade
--aspect
Named: landscape (16:9), portrait (9:16), square (1:1). Custom: any W:H ratio (e.g., 3:4, 4:3, 2.35:1)
--lang
en, zh, ja, etc.
--no-confirm
Skip Step 4 only when the user explicitly requests direct generation without confirmation
Full definitions live at references/layouts/<layout>.md.
Style Gallery (22)
Style
Description
craft-handmade
Hand-drawn, paper craft (default)
claymation
3D clay figures, stop-motion
kawaii
Japanese cute, pastels
storybook-watercolor
Soft painted, whimsical
chalkboard
Chalk on black board
cyberpunk-neon
Neon glow, futuristic
Full definitions live at references/styles/<style>.md.
Recommended Combinations
Content Type
Layout + Style
Timeline/History
linear-progression + craft-handmade
Step-by-step
linear-progression + ikea-manual
A vs B
binary-comparison + corporate-memphis
Hierarchy
hierarchical-layers + craft-handmade
Overlap
venn-diagram +
Default combination: bento-grid + craft-handmade (fallback recommendation only — per the Confirmation Policy, defaults never bypass Step 4).
Keyword Shortcuts
When the user's input contains these keywords, use the mapped layout as the leading Step 3 recommendation and promote the listed styles to the top of the Step 3 list. Skip content-based layout inference for matched keywords. Append any Prompt Notes to the Step 5 prompt.
Sections with: key concept, content (verbatim), visual element, text labels
Data points (all statistics/quotes copied exactly)
Design instructions from user
Rules: Markdown only. No new information. Preserve data faithfully. Strip any credentials or secrets from output.
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, use the associated layout as the leading recommendation 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
Hard gate: this step is mandatory per the Confirmation Policy — Steps 5–6 cannot start until the user confirms here (or explicitly opts out with --no-confirm / equivalent in the current request).
Ask the user to confirm the questions below following the User Input Tools rule at the top of this file (batch into one call if the runtime supports multiple questions; otherwise ask one at a time in priority order).
Priority
Question
When
Options
1
Combination
Always
3+ layout×style combos with rationale
2
Aspect
Always
Named presets (landscape/portrait/square) or custom W:H ratio (e.g., 3:4, 4:3, 2.35:1)
3
Language
Only if source ≠ user language
Language for text content
4
Image Backend
Only if step 3 of the ## Image Generation Tools rule needs to ask (no runtime-native tool AND multiple non-native backends, OR preferred_image_backend: ask)
Step 5: Generate Prompt → prompts/infographic.md
Backup rule: If prompts/infographic.md exists, rename to prompts/infographic-backup-YYYYMMDD-HHMMSS.md
Combine:
Layout definition from references/layouts/<layout>.md
Style definition from references/styles/<style>.md
Base template from references/base-prompt.md
Structured content from Step 2
All text in confirmed language
Aspect ratio resolution for {{ASPECT_RATIO}}:
Named presets → ratio string: landscape→16:9, portrait→9:16, square→1:1
Custom W:H ratios → use as-is (e.g., 3:4, 4:3, 2.35:1)
Step 6: Generate Image
Resolve the backend per the ## Image Generation Tools rule at the top of this file.
Ensure the full final prompt is persisted at prompts/infographic.md (already written in Step 5) BEFORE invoking the backend — the file is the reproducibility record.
Check for existing file: Before generating, check if infographic.png exists
If exists: Rename to infographic-backup-YYYYMMDD-HHMMSS.png
Call the chosen backend with the prompt file and output path
EXTEND.md lives at the first matching path in Step 1.1. Three ways to change it:
Edit directly — open EXTEND.md and change fields. Full schema: references/config/preferences-schema.md.
Reconfigure interactively — delete EXTEND.md (or ask "reconfigure baoyu-infographic preferences" / "重新配置"). The next run re-triggers first-time setup.
Common one-line edits:
preferred_image_backend: auto — default; runtime-native tool wins, falls back to the only installed backend, asks only if multiple non-native are present.
preferred_image_backend: codex-imagegen — pin to Codex's built-in.
preferred_image_backend: baoyu-imagine — pin to the baoyu-imagine skill.
preferred_image_backend: ask — confirm backend every run.
preferred_layout: dense-modules, preferred_style: morandi-journal, preferred_aspect: portrait, language: zh — shift the Step-3 recommendations and Step-4 defaults (per Confirmation Policy, these never bypass Step 4).
structural-breakdown
Exploded views, cross-sections
bento-grid
Multiple topics, overview (default)
iceberg
Surface vs hidden aspects
bridge
Problem-solution
funnel
Conversion, filtering
isometric-map
Spatial relationships
dashboard
Metrics, KPIs
periodic-table
Categorized collections
comic-strip
Narratives, sequences
story-mountain
Plot structure, tension arcs
jigsaw
Interconnected parts
venn-diagram
Overlapping concepts
winding-roadmap
Journey, milestones
circular-flow
Cycles, recurring processes
dense-modules
High-density modules, data-rich guides
bold-graphic
Comic style, halftone
aged-academia
Vintage science, sepia
corporate-memphis
Flat vector, vibrant
technical-schematic
Blueprint, engineering
origami
Folded paper, geometric
pixel-art
Retro 8-bit
ui-wireframe
Grayscale interface mockup
subway-map
Transit diagram
ikea-manual
Minimal line art
knolling
Organized flat-lay
lego-brick
Toy brick construction
pop-laboratory
Blueprint grid, coordinate markers, lab precision
morandi-journal
Hand-drawn doodle, warm Morandi tones
retro-pop-grid
1970s retro pop art, Swiss grid, thick outlines
hand-drawn-edu
Macaron pastels, hand-drawn wobble, stick figures
retro-popup-pop
Retro popup collage, vintage UI, thick outlines, flat pop colors