Infographics
K-DenseCommunityCreated by K-Dense Inc.
- Skill
- Content generator
- Design and creative
- MIT
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a comprehensive pipeline for creating infographics by leveraging Nano Banana 2 for image generation, Gemini 3.7 Flash for quality assessment, and Perplexity Sonar for data research. It supports ten distinct infographic types, various industry-specific style presets, and colorblind-safe palettes. The process includes a smart iterative loop where the agent evaluates drafts against document-type quality thresholds and refines them until standards are met or the iteration budget is exhausted.
What it does
- Generates raster-based infographics from natural language descriptions
- Performs automated research to gather facts and statistics using Perplexity Sonar
- Evaluates generated images against professional quality thresholds using Gemini 3.7 Flash
- Iteratively refines designs based on automated quality feedback
- Supports multiple layout types including timelines, processes, and comparisons
- Provides industry-specific style presets and accessible color palettes
When to use it
- Presenting complex data or statistics in a clear, visual format
- Creating professional timelines for project milestones or historical events
- Visualizing step-by-step processes or workflows
- Comparing products, concepts, or options side-by-side
- Summarizing key information for reports, presentations, or social media
Advantages
- Automated quality control ensures output meets specific document standards
- Integrated research capability reduces manual data gathering effort
- Smart iteration loop improves results without constant manual intervention
- Wide range of layout and style options for diverse professional needs
- Built-in support for accessibility through colorblind-safe palettes
Usage examples
- “Generate a statistical infographic about global renewable energy adoption rates by country, using research.”
- The agent performs a web search for current energy data, generates a statistical infographic, reviews it for quality, and saves the final PNG with source annotations.
- “Create a timeline infographic for company milestones from 2010 to 2025 using the corporate style.”
- The agent produces a timeline-formatted image using the specified corporate color scheme and layout, ensuring it meets the business report quality threshold.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/k-dense-ai/infographics/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip infographics.zip -d .agents/skills
Documentation by K-Dense Inc.
Infographics
Overview
Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana 2 AI for infographic generation with Gemini 3.7 Flash quality review and Perplexity Sonar for research.
How it works:
(Optional) Research phase: Gather candidate facts and source records using Perplexity Sonar Pro
Describe your infographic in natural language
Nano Banana 2 generates raster drafts from your content
Gemini 3.7 Flash reviews quality against document-type thresholds
Smart iteration: Regenerates when review requests improvements, within the iteration budget
Inspect every final image at its intended display size and check claims against sources
Quality Thresholds by Document Type:
| Document Type | Threshold | Description |
|---|---|---|
| marketing | 8.5/10 | Marketing materials - must be compelling |
| report | 8.0/10 | Business reports - professional quality |
| presentation | 7.5/10 | Slides, talks - clear and engaging |
| social | 7.0/10 | Social media content |
| internal | 7.0/10 | Internal use |
| draft | 6.5/10 | Working drafts |
| default | 7.5/10 | General purpose |
Simply describe what you want, and Nano Banana 2 creates it.
Quick Start
Install the only runtime dependency in your chosen Python environment (python -m pip install requests),
then set OPENROUTER_API_KEY. Examples below illustrate CLI usage; paid generation was not
executed during this review. Scripts accept PNG output paths only.
Generate a draft by describing it:
# Generate a list infographic (default threshold 7.5/10)
python skills/infographics/scripts/generate_infographic.py \
"5 benefits of regular exercise" \
-o figures/exercise_benefits.png --type list
# Generate for marketing (highest threshold: 8.5/10)
python skills/infographics/scripts/generate_infographic.py \
"Product features comparison" \
-o figures/product_comparison.png --type comparison --doc-type marketing
# Generate with corporate style
python skills/infographics/scripts/generate_infographic.py \
"Company milestones 2010-2025" \
-o figures/timeline.png --type timeline --style corporate
# Generate with colorblind-safe palette
python skills/infographics/scripts/generate_infographic.py \
"Heart disease statistics worldwide" \
-o figures/health_stats.png --type statistical --palette wong
# Generate WITH RESEARCH for accurate, up-to-date data
python skills/infographics/scripts/generate_infographic.py \
"Global AI market size and growth projections" \
-o figures/ai_market.png --type statistical --researchWhat happens behind the scenes:
(Optional) Research: Perplexity Sonar Pro gathers candidate facts with source annotations
Generation 1: Nano Banana 2 creates initial infographic following design best practices
Review 1: Gemini 3.7 Flash evaluates quality against document-type threshold
Decision: Stop when the scored review meets threshold and requests no further changes
If improvements are requested: Retain content and source context, refine the prompt, regenerate
Repeat: Until quality meets threshold or the iteration budget is reached; stop on API failure and keep the latest saved draft
Smart Iteration Benefits:
✅ Saves API calls if first generation is good enough
✅ Higher quality standards for marketing materials
✅ Faster turnaround for drafts/internal use
✅ Appropriate quality for each use case
Output: Versioned PNGs plus a review log with models, scores, quality_met, and termination_reason. A saved image (success: true) can still be unreviewed or below threshold. Human factual and visual checks remain required.
When to Use This Skill
Use the infographics skill when:
Presenting data or statistics in a visual format
Creating timeline visualizations for project milestones or history
Explaining processes, workflows, or step-by-step guides
Comparing options, products, or concepts side-by-side
Summarizing key points in an engaging visual format
Creating geographic or map-based data visualizations
Building hierarchical or organizational charts
Designing social media content or marketing materials
Use scientific-schematics instead for:
Technical flowcharts and circuit diagrams
Biological pathways and molecular diagrams
Neural network architecture diagrams
CONSORT/PRISMA methodology diagrams
Research Integration
Automatic Data Gathering (--research)
When creating infographics that require accurate, up-to-date data, use the --research flag to gather candidate facts and statistics using Perplexity Sonar Pro. The script preserves source annotations; it does not independently verify claims or source relevance. For scientific or medical publication, verify primary sources before including the resulting numbers.
# Research and generate statistical infographic
python skills/infographics/scripts/generate_infographic.py \
"Global renewable energy adoption rates by country" \
-o figures/renewable_energy.png --type statistical --research
# Research for timeline infographic
python skills/infographics/scripts/generate_infographic.py \
"History of artificial intelligence breakthroughs" \
-o figures/ai_history.png --type timeline --research
# Research for comparison infographic
python skills/infographics/scripts/generate_infographic.py \
"Electric vehicles vs hydrogen vehicles comparison" \
-o figures/ev_hydrogen.png --type comparison --researchWhat Research Provides
The research phase automatically:
Gathers Key Facts: 5-8 relevant facts and statistics about the topic
Provides Context: Background information for accurate representation
Requests Data Points: Numbers with units, populations, denominators, and dates
Preserves Sources: OpenRouter URL-citation annotations, plus optional provider citation fields
Dates the Request: Uses the current date while preserving historical event dates
When to Use Research
Enable research (--research) for:
Statistical infographics requiring accurate numbers
Market data, industry statistics, or trends
Scientific or medical information
Current events or recent developments
Any topic where accuracy is critical
Skip research for:
Simple conceptual infographics
Internal process documentation
Topics where you provide all the data in the prompt
Speed-critical generation
Research Output
When research is enabled, additional files are created:
{name}_research.json- Research answer and returned source records (when research succeeds)Research content and source records remain in generation, review, and refinement prompts
Failed research is recorded in the review log; generation continues with the supplied prompt
Infographic Types
Ten types are supported via --type: statistical, timeline, process, comparison,
list, geographic, hierarchical, anatomical, resume, and social. What each is
for, the data shape it expects, and worked prompts are in
references/infographic_type_catalog.md and
references/infographic_types.md.
Style Presets
Industry Styles (--style)
| Style | Colors | Best For |
|---|---|---|
corporate | Navy, steel blue, gold | Business reports, finance |
healthcare | Medical blue, cyan, light cyan | Medical, wellness |
technology | Tech blue, slate, violet | Software, data, AI |
nature | Forest green, mint, earth brown | Environmental, organic |
education | Academic blue, light blue, coral | Learning, academic |
marketing | Coral, teal, yellow | Social media, campaigns |
finance | Navy, gold, green/red | Investment, banking |
nonprofit | Warm orange, sage, sand | Social causes, charities |
# Corporate style
python skills/infographics/scripts/generate_infographic.py \
"Q4 Results" -o q4.png --type statistical --style corporate
# Healthcare style
python skills/infographics/scripts/generate_infographic.py \
"Patient Journey" -o journey.png --type process --style healthcareColorblind-Safe Palettes
Available Palettes (--palette)
| Palette | Colors | Description |
|---|---|---|
wong | Seven chromatic colors plus black | Okabe-Ito palette popularized by Wong |
ibm | Ultramarine, indigo, magenta, orange, gold | Legacy five-color preset |
tol | Nine-color muted palette | Categorical data; pale gray reserved for missing data |
# Wong's colorblind-safe palette
python skills/infographics/scripts/generate_infographic.py \
"Survey results by category" -o survey.png --type statistical --palette wongSmart Iterative Refinement and CLI
The generate-review-refine loop, every command-line option, and configuration are in references/iterative_refinement.md.
Prompt Engineering Tips
Be Specific About Content
✓ Good prompts (specific, detailed):
"5 benefits of meditation: reduces stress, improves focus,
better sleep, lower blood pressure, emotional balance"✗ Avoid vague prompts:
"meditation infographic"Include Data Points
✓ Good:
"Synthetic example: market grows from USD 10B (2020) to USD 45B (2025), CAGR 35.1%; label illustrative"✗ Vague:
"market is growing"Specify Visual Elements
✓ Good:
"Timeline showing 5 milestones with icons for each event"API and model contract
Reviewed against OpenRouter documentation and its public model catalogs on 2026-10-01:
Generation:
google/gemini-3.1-flash-image(Nano Banana 2),POST /api/v1/images,prompt,n: 1, optionalinput_references; readsdata[0].b64_jsonand validatesmedia_type/PNG signature. Gemini endpoints do not advertiseoutput_format, so the script checks the returned format rather than sending that option.Review:
google/gemini-3.7-flash,POST /api/v1/chat/completions, text followed by animage_urldata URL; readschoices[0].message.content.Research and the Python
web_search()helper:perplexity/sonar-pro, same chat endpoint; usesweb_search_options.search_context_sizeand preservesmessage.annotations[].url_citation. No separate search API or academic-mode guarantee is implied.All paid calls use bearer authentication with
OPENROUTER_API_KEY; no automatic retries or pagination. Public discovery usesGET /api/v1/models,GET /api/v1/images/models, and each image model's/endpointsrecords.
See the Image API guide, image input contract, web-search options and citations, and authentication guide. Offline tests cover these payloads and failure paths; catalog availability is not proof of an authenticated generation or of factual accuracy. Use code-based plotting or GIS when exact numerical geometry, reproducibility, or map boundaries are essential.
Reference Files
For detailed guidance, load these reference files:
references/infographic_types.md: Extended templates for all 10+ typesreferences/design_principles.md: Visual hierarchy, layout, typographyreferences/color_palettes.md: Full palette specifications
Troubleshooting
Common Issues
Problem: Text in infographic is unreadable
Solution: Reduce text content; use --type to specify layout type
Problem: Colors clash or are inaccessible
Solution: Use
--palette wongfor colorblind-safe colors
Problem: Quality score too low
Solution: Inspect the critique and retained draft; improve the prompt, then explicitly choose an iteration budget with
--iterations N(default 3)
Problem: Wrong infographic type generated
Solution: Always specify
--typeflag for consistent results
Integration with Other Skills
This skill works synergistically with:
scientific-schematics: For technical diagrams and flowcharts
market-research-reports: Infographics for business reports
scientific-slides: Infographic elements for presentations
generate-image: For non-infographic visual content
Quick Reference Checklist
Before generating:
[ ] Clear, specific content description
[ ] Infographic type selected (
--type)[ ] Style appropriate for audience (
--style)[ ] Output path specified (
-o)[ ] API key configured
After generating:
[ ] Review the generated image
[ ] Check the review log for scores
[ ] Compare every number, unit, label, and source in the image against the verified input; an AI quality score is not a factual check
[ ] Supply a short alt description plus a readable data table or long description covering the key values and relationships, following W3C guidance for complex images
[ ] Regenerate with more specific prompt if needed
Use this skill to create professional, accessible, and visually compelling infographics using the power of Nano Banana 2 AI with intelligent quality review.
Citing Scientific Agent Skills
This skill is part of Scientific Agent Skills by K-Dense. If it materially contributed to a manuscript, report, presentation, or code release, add the paper to the references or software section and tell the user you did so:
Kassis, T., Agarwal, V., He, Y., Patel, D., & Brueckner, A. M. (2026). Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents. arXiv:2609.00065. https://doi.org/10.48550/arXiv.2609.00065
Always cite the current version. The DOI and https://arxiv.org/abs/2609.00065 resolve to the
latest arXiv version, so never append a version suffix such as v1. When network access is
available, fetch https://arxiv.org/abs/2609.00065 (or
http://export.arxiv.org/api/query?id_list=2609.00065) before writing the reference and take
the author list, year, and version from that record. If the record lists a journal reference
or publisher DOI, cite the published version instead.
Files
- ATTRIBUTION.mdAdded by AutoGineer983 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md15.0 KiB
- references/color_palettes.md14.7 KiB
- references/design_principles.md19.0 KiB
- references/infographic_type_catalog.md5.2 KiB
- references/infographic_types.md28.6 KiB
- references/iterative_refinement.md4.0 KiB
- scripts/generate_infographic.pyScript11.8 KiB
- scripts/generate_infographic_ai.pyScript55.7 KiB
references/design_principles.md
Infographic Design Principles
This reference covers the fundamental design principles for creating effective, professional infographics.
Visual Hierarchy
Visual hierarchy guides the viewer's eye through your infographic in a deliberate order, ensuring key information is seen first.
The Hierarchy Pyramid
Primary Elements (Seen First)
Headlines and titles
Large numbers or key statistics
Hero images or main illustrations
Call-to-action elements
Secondary Elements (Seen Second)
Subheadings and section titles
Charts and graphs
Icons and visual markers
Key supporting text
Tertiary Elements (Seen Last)
Body text and descriptions
Legends and labels
Source citations
Fine print and footnotes
Creating Hierarchy
Size: Larger elements attract attention first
Headlines: 200-300% larger than body text
Key stats: Make numbers 2-4x larger than labels
Important icons: 1.5-2x larger than supporting icons
Color: Bright and contrasting colors draw the eye
Use accent colors sparingly for emphasis
Reserve the brightest color for the most important element
Use muted colors for supporting information
Position: Top-left and center are seen first
Place most important content at top or center
Supporting details toward bottom or edges
Reading flow: top-to-bottom, left-to-right (in Western cultures)
Contrast: High contrast elements stand out
Dark on light or light on dark for key text
Colored elements against neutral backgrounds
Borders and shadows to lift key elements
White Space: Isolation draws attention
Surround important elements with space
Don't crowd key information
Use spacing to group related items
Layout Patterns
F-Pattern Layout
Best for: Text-heavy infographics, lists, articles
┌─────────────────────────────────────┐
│ ████████████████████████████████████│ ← Top horizontal scan
├─────────────────────────────────────┤
│ █████████████████ │ ← Second horizontal scan
├─────────────────────────────────────┤
│ █████ │
│ █████ │ ← Vertical scan down left
│ █████ │
│ █████ │
└─────────────────────────────────────┘Application:
Place headline across full width at top
Important subhead on second line
Key content aligned to left
Less critical content on right
Z-Pattern Layout
Best for: Minimal content, landing pages, single-message infographics
┌─────────────────────────────────────┐
│ ●────────────────────────────────→ ●│ ← Start top-left, scan right
├─────────────────────────────────────┤
│ ╲ │
│ ╲ │ ← Diagonal scan
│ ╲ │
├─────────────────────────────────────┤
│ ●────────────────────────────────→ ●│ ← Bottom left to right
└─────────────────────────────────────┘Application:
Logo/headline top-left
Key visual top-right
Diagonal eye movement through center
Call-to-action bottom-right
Single Column Layout
Best for: Mobile-friendly, scrolling content, process infographics
┌───────────────┐
│ HEADER │
├───────────────┤
│ Section 1 │
├───────────────┤
│ Section 2 │
├───────────────┤
│ Section 3 │
├───────────────┤
│ Section 4 │
├───────────────┤
│ FOOTER │
└───────────────┘Application:
Vertical scrolling content
Step-by-step processes
Timeline infographics
Mobile-first design
Multi-Column Layout
Best for: Comparisons, feature lists, complex data
┌─────────────────────────────────────┐
│ HEADER/TITLE │
├──────────────┬──────────────────────┤
│ Column 1 │ Column 2 │
│ -------- │ -------- │
│ Content │ Content │
│ Content │ Content │
│ Content │ Content │
├──────────────┴──────────────────────┤
│ FOOTER │
└─────────────────────────────────────┘Application:
Side-by-side comparisons
Pros and cons lists
Feature matrices
Two categories of information
Grid Layout
Best for: Multiple equal-weight items, statistics, icon grids
┌─────────────────────────────────────┐
│ HEADER/TITLE │
├───────────┬───────────┬─────────────┤
│ Item 1 │ Item 2 │ Item 3 │
├───────────┼───────────┼─────────────┤
│ Item 4 │ Item 5 │ Item 6 │
├───────────┼───────────┼─────────────┤
│ Item 7 │ Item 8 │ Item 9 │
├───────────┴───────────┴─────────────┤
│ FOOTER │
└─────────────────────────────────────┘Application:
Multiple statistics (2x2, 3x3, 2x3 grids)
Icon collections
Feature highlights
Team member displays
Modular/Card Layout
Best for: Varied content types, flexible information, modern designs
┌─────────────────────────────────────┐
│ HEADER/TITLE │
├───────────────────┬─────────────────┤
│ │ Card 2 │
│ Card 1 ├─────────────────┤
│ (large) │ Card 3 │
├───────────────────┼─────────────────┤
│ Card 4 │ Card 5 │
└───────────────────┴─────────────────┘Application:
Mixed content types
Varied importance levels
Modern dashboard style
Magazine-style layouts
The 60-40 Heuristic
An optional composition starting point, not a scientific optimum or accessibility criterion:
60% Visual Elements: Icons, charts, illustrations, images, shapes
40% Text Content: Headlines, labels, descriptions, data
Why This Matters
Too much text: Feels like a document, not an infographic
Too many visuals: Lacks substance and clarity
Right balance: Engaging AND informative
Applying the Rule
Visual Elements (60%)
Charts and graphs
Icons and symbols
Illustrations
Photos
Decorative shapes
Color blocks
Lines and connectors
Text Elements (40%)
Headlines and titles
Subheadings
Data labels
Brief descriptions
Source citations
Calls to action
White Space (Negative Space)
White space is the empty area between and around elements. It's not wasted space—it's a design tool.
Functions of White Space
Improves Readability: Gives eyes rest between content
Creates Focus: Isolated elements attract attention
Groups Content: Related items appear connected
Adds Elegance: Premium feel to design
Reduces Clutter: Prevents overwhelming viewers
White Space Guidelines
Margins: Space around the entire infographic
Minimum 5-10% of width/height
More margin = more premium feel
Consistent on all sides
Padding: Space inside elements (boxes, cards)
Minimum equal to text line height
More padding for important elements
Consistent within similar elements
Gaps: Space between elements
Related items: Small gaps (8-16px)
Unrelated items: Large gaps (24-48px)
Sections: Largest gaps (48-72px)
Line Spacing: Space between lines of text
Body text: 1.4-1.6x font size
Headlines: 1.1-1.3x font size
Lists: 1.5-2x font size
Typography
Font Selection
Sans-Serif Fonts (Recommended for Infographics)
Clean, modern appearance
Better screen readability
Professional feel
Examples: Arial, Helvetica, Open Sans, Roboto, Montserrat
Serif Fonts (Use Sparingly)
Traditional, authoritative feel
Good for headlines in formal contexts
Examples: Georgia, Times New Roman, Playfair Display
Display Fonts (Headlines Only)
High impact for titles
NOT for body text
Examples: Impact, Bebas Neue, Oswald
Font Pairing Rules
Maximum 2-3 fonts per infographic
Contrast is key: Pair different styles (serif + sans-serif)
Establish roles: One for headlines, one for body, one for accents
Maintain consistency: Same font for same purpose throughout
Safe Pairings:
Montserrat (headlines) + Open Sans (body)
Playfair Display (headlines) + Roboto (body)
Bebas Neue (headlines) + Lato (body)
Oswald (headlines) + Source Sans Pro (body)
Font Sizes
| Element | Size Range | Weight |
|---|---|---|
| Main Title | 36-72pt | Bold |
| Section Headers | 24-36pt | Bold/Semi-bold |
| Subheadings | 18-24pt | Semi-bold |
| Body Text | 12-16pt | Regular |
| Captions/Labels | 10-14pt | Regular/Light |
| Fine Print | 8-10pt | Light |
Typography Best Practices
Left-align body text (easier to read than centered)
Center-align headlines (for impact)
Limit line length to 45-75 characters
Use bold sparingly for emphasis
Avoid all caps for body text (hard to read)
ALL CAPS acceptable for short headlines/labels
Maintain contrast between text and background (4.5:1 minimum)
Story Structure
Every effective infographic tells a story with three parts:
1. Introduction (Hook)
Purpose: Grab attention, establish topic
Elements:
Compelling headline
Eye-catching hero visual
Key statistic or question
Topic introduction
Best Practices:
Make it impossible to ignore
Promise value ("Learn how to...")
Create curiosity
10-15% of total space
2. Body (Content)
Purpose: Deliver the main information
Elements:
Data and statistics
Step-by-step content
Comparisons and analysis
Supporting visuals
Best Practices:
Logical flow (chronological, importance, or categorical)
Clear section breaks
Balance visuals and text
70-80% of total space
3. Conclusion (Takeaway)
Purpose: Summarize, call to action
Elements:
Key takeaway or summary
Call to action
Source citations
Branding/attribution
Best Practices:
Reinforce main message
Clear next step for viewer
Don't introduce new information
10-15% of total space
Alignment and Grids
Grid Systems
Use invisible grids to align elements consistently:
Column Grid (Most Common)
2, 3, 4, or 6 columns
Elements span one or more columns
Gutters (gaps) between columns
Creates orderly, professional look
Modular Grid
Columns + rows = modules
More flexibility for varied content
Good for complex layouts
Dashboard-style designs
Alignment Types
Left Alignment
Most common for text
Creates strong left edge
Easy to scan
Professional appearance
Center Alignment
Good for headlines
Creates symmetry
Use sparingly for text
Works for single elements
Right Alignment
Rarely used for primary content
Good for numbers in tables
Can feel unusual in Western design
Use intentionally
Alignment Best Practices
Pick one primary alignment and stick to it
Align related elements to the same edge or center
Use invisible grid lines for consistency
Avoid random placement—everything should align to something
Create visual connections through alignment
Color Usage
Color Functions in Infographics
Establish hierarchy: Bright colors for important items
Group related items: Same color = same category
Create contrast: Distinguish between elements
Evoke emotions: Colors carry psychological meaning
Reinforce brand: Consistent with brand identity
Color Distribution
60-30-10 Rule:
60% Dominant color (background, large areas)
30% Secondary color (supporting elements)
10% Accent color (highlights, CTAs)
Color Psychology
| Color | Association | Best For |
|---|---|---|
| Blue | Trust, professionalism, calm | Corporate, tech, healthcare |
| Green | Growth, nature, money | Environmental, finance, health |
| Red | Urgency, energy, passion | Alerts, sales, food |
| Orange | Friendly, confident, creative | CTAs, youth brands |
| Yellow | Optimism, caution, attention | Highlights, warnings |
| Purple | Luxury, creativity, wisdom | Premium brands, education |
| Black | Sophistication, power, elegance | Luxury, formal |
| White | Clean, simple, space | Backgrounds, breathing room |
Contrast Requirements
For accessibility (WCAG 2.2 AA):
Normal text: 4.5:1 contrast ratio minimum
Large text (18pt+ or 14pt+ bold): 3:1 contrast ratio minimum
Meaningful graphical objects and UI components: 3:1 against adjacent colors (see WCAG exceptions)
Tools to check contrast:
WebAIM Contrast Checker
Coolors Contrast Checker
Adobe Color Accessibility Tools
Icon Usage
Icon Styles
Line Icons (Outline)
Clean, modern look
Work well at small sizes
Best for minimal designs
Consistent line weight important
Filled Icons (Solid)
Bolder visual impact
Good for quick recognition
Work well as focal points
More accessible at small sizes
Illustrated Icons
More personality and uniqueness
Higher visual weight
Best for playful designs
May not scale well
Icon Best Practices
Use one style consistently throughout the infographic
Ensure recognizability—icons should be immediately understood
Maintain consistent size for icons at the same hierarchy level
Add labels when icon meaning isn't 100% clear
Match visual weight of icons to surrounding elements
Consider color carefully—single color often cleaner
Avoid icon overload—not everything needs an icon
Icon Size Guidelines
| Context | Recommended Size |
|---|---|
| Hero/Feature icon | 64-128px |
| Section icon | 32-48px |
| List item icon | 24-32px |
| Inline icon | 16-24px |
Data Visualization Best Practices
Choosing Chart Types
| Data Type | Best Chart |
|---|---|
| Comparison (few items) | Bar chart |
| Comparison (many items) | Horizontal bar |
| Parts of a whole | Pie/donut chart |
| Trend over time | Line chart |
| Distribution | Histogram |
| Relationship | Scatter plot |
| Geographic | Map/choropleth |
| Hierarchy | Treemap |
| Quantitative flows | Sankey diagram |
| Sequential process | Labeled steps and arrows |
Chart Best Practices
Label everything: Axes, data points, legends
Start Y-axis at zero for bar charts (avoid misleading)
Limit pie slices to 5-7 maximum
Use consistent colors for same categories across charts
Remove chart junk: No 3D effects, minimal gridlines
Highlight key data: Use color to emphasize important points
Number Presentation
Large numbers: Use abbreviations (1.2M, not 1,200,000)
Percentages: Include % symbol, one decimal max
Comparisons: Use consistent units and precision
Context: Always provide reference points ("2x industry average")
Accessibility Considerations
Visual Accessibility
Color alone shouldn't convey meaning
Add patterns, labels, or shapes
Works for colorblind users
Sufficient contrast
4.5:1 for normal text
3:1 for large text and graphics
Text size
Inspect at the intended print or display size
Font-size requests in image prompts do not guarantee rendered size or readability
Don't rely on color legends
Label data directly when possible
Colorblind-Safe Design
Use colorblind-safe palettes (see color_palettes.md)
Test with colorblindness simulators
Add patterns or textures for differentiation
Use labels and direct annotation
Reading Accessibility
Clear hierarchy and flow
Concise text
Simple language
Adequate spacing
Logical reading order
Quality Checklist
Before finalizing your infographic, verify:
Layout
[ ] Clear visual hierarchy
[ ] Consistent alignment (grid-based)
[ ] Adequate white space
[ ] Logical reading flow
[ ] Balanced composition
Typography
[ ] Maximum 2-3 fonts used
[ ] Readable font sizes
[ ] Sufficient text contrast
[ ] Consistent styling for same elements
[ ] Left-aligned body text
Color
[ ] Color distribution supports the message
[ ] Colorblind-safe palette
[ ] Sufficient contrast (4.5:1 text)
[ ] Consistent color meanings
[ ] Not overwhelming
Content
[ ] Clear story structure (intro, body, conclusion)
[ ] Visual/text balance supports comprehension
[ ] Key message is prominent
[ ] Data is accurate and sourced
[ ] Call to action included
Icons and Graphics
[ ] Consistent icon style
[ ] Appropriate sizes
[ ] Recognizable meanings
[ ] Not overused
Accessibility
[ ] Works in grayscale
[ ] Patterns/labels supplement color
[ ] Readable at intended size
[ ] Logical flow without visual cues
[ ] Short alt text plus a data table or long description with all essential values and relationships
Use these principles as a foundation, adapting as needed for your specific content and audience.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Needs network access, Needs an API key, Needs Python
The author says: Requires Python 3.10+ with requests installed, network access, and OPENROUTER_API_KEY for generation, review, or research.
Security
What our scanner noticed· Low risk
- Instructions that use the network
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- K-Dense Inc.
- Publisher
- K-Dense (Community)
- Source
- K-Dense-AI/scientific-agent-skills · skills/infographics · commit a25cf9e
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE.md)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by K-Dense Inc. or K-Dense.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download infographics.zip