baoyu-infographic

name	baoyu-infographic
description	Generates professional infographics with 20 layout types and 17 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", or "可视化".

Infographic Generator

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

Usage

/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

Option	Values
--layout	20 options (see Layout Gallery), default: bento-grid
--style	17 options (see Style Gallery), default: craft-handmade
--aspect	landscape (16:9), portrait (9:16), square (1:1)
--lang	en, zh, ja, etc.

Layout Gallery

Layout	Best For
linear-progression	Timelines, processes, tutorials
binary-comparison	A vs B, before-after, pros-cons
comparison-matrix	Multi-factor comparisons
hierarchical-layers	Pyramids, priority levels
tree-branching	Categories, taxonomies
hub-spoke	Central concept with related items
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

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

Style Gallery

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
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

Full definitions: 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 + craft-handmade
Conversion	funnel + corporate-memphis
Cycles	circular-flow + craft-handmade
Technical	structural-breakdown + technical-schematic
Metrics	dashboard + corporate-memphis
Educational	bento-grid + chalkboard
Journey	winding-roadmap + storybook-watercolor
Categories	periodic-table + bold-graphic

Default: bento-grid + craft-handmade

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):

# 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

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:

Question	When	Options
Combination	Always	3+ layout×style combos with rationale
Aspect	Always	landscape (16:9), portrait (9:16), square (1:1)
Language	Only if source ≠ user language	Language 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 - 20 layout definitions
• references/styles/<style>.md - 17 style definitions

Extension Support

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

🔒 Mandatory Post-Processing (EXIF strip)

After every image generated by this skill — regardless of file extension claimed (.png/.jpg/.webp), regardless of provider (Gemini/OpenAI/DashScope), regardless of whether the user is going to share it — Claude MUST run the post-processing pipeline defined in:

~/.baoyu-skills/image-post-processing.md

Why this is mandatory and unconditional:

• AI providers routinely embed metadata: provider tags, timestamps, color profiles, copyright fingerprints, watermark indicators, C2PA chunks
• Provider-claimed file format (e.g. .png) often disagrees with actual format (e.g. JPEG with PNG extension) — verify and rename
• Local-only files frequently get uploaded later (CDN, R2, screenshots into shared docs, git history) — strip on creation, not before sharing

Required steps for each generated image (in order):

1. Detect actual format with PIL.Image.open(f).format (not the extension)
2. Re-save via PIL with no metadata (this is the EXIF-strip step):

   from PIL import Image
   img = Image.open(path)
   data = list(img.getdata())
   clean = Image.new(img.mode, img.size)
   clean.putdata(data)
   clean.save(target_path, img.format, quality=95, optimize=True)
   

3. If actual format ≠ claimed extension, rename to the correct one and remove the original
4. Verify: re-open the saved file and assert img.getexif() is empty AND img.info has no metadata keys (other than benign jfif/dpi)
5. Only after verification passes may you report the image as done

⚠️ Skipping this step or trusting "the provider doesn't add metadata" is a contract violation. Verify, do not assume.