Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
allowed-tools
Read Write Edit Bash
tags
["scientific-skills","infographics","search"]
---------|-----------|-------------|
| 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 Pro creates it.
Quick Start
Generate any infographic by simply 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
python skills/infographics/scripts/generate_infographic.py \
\
-o figures/timeline.png -- timeline --style corporate
python skills/infographics/scripts/generate_infographic.py \
\
-o figures/health_stats.png -- statistical --palette wong
python skills/infographics/scripts/generate_infographic.py \
\
-o figures/ai_market.png -- statistical --research
# Generate with corporate style
"Company milestones 2010-2025"
type
# Generate with colorblind-safe palette
"Heart disease statistics worldwide"
type
# Generate WITH RESEARCH for accurate, up-to-date data
"Global AI market size and growth projections"
type
What happens behind the scenes:
(Optional) Research: Perplexity Sonar gathers accurate facts, statistics, and data
Generation 1: Nano Banana Pro creates initial infographic following design best practices
Review 1: Gemini 3 Pro evaluates quality against document-type threshold
Decision: If quality >= threshold → DONE (no more iterations needed!)
If below threshold: Improved prompt based on critique, regenerate
Repeat: Until quality meets threshold OR max iterations reached
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 images plus a detailed review log with quality scores, critiques, and early-stop information.
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 automatically gather facts and statistics using Perplexity Sonar Pro.
# 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 --research
What 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
Finds Data Points: Specific numbers, percentages, and dates
Cites Sources: Mentions major studies or sources
Prioritizes Recency: Focuses on 2023-2026 information
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 - Raw research data and sources
Research content is automatically incorporated into the infographic prompt
Infographic Types
1. Statistical/Data-Driven (--type statistical)
Best for: Presenting numbers, percentages, survey results, and quantitative data.
Key Elements: Charts (bar, pie, line, donut), large numerical callouts, data comparisons, trend indicators.
python skills/infographics/scripts/generate_infographic.py \
"Global internet usage 2025: 5.5 billion users (68% of population), \
Asia Pacific 53%, Europe 15%, Americas 20%, Africa 12%" \
-o figures/internet_stats.png --type statistical --style technology
2. Timeline (--type timeline)
Best for: Historical events, project milestones, company history, evolution of concepts.
Key Elements: Chronological flow, date markers, event nodes, connecting lines.
python skills/infographics/scripts/generate_infographic.py \
"How to start a podcast: 1. Choose your niche, 2. Plan content, \
3. Set up equipment, 4. Record episodes, 5. Publish and promote" \
-o figures/podcast_process.png --type process --style marketing
4. Comparison (--type comparison)
Best for: Product comparisons, pros/cons, before/after, option evaluation.
python skills/infographics/scripts/generate_infographic.py \
"Electric vs Gas Cars: Fuel cost (lower vs higher), \
Maintenance (less vs more), Range (improving vs established)" \
-o figures/ev_comparison.png --type comparison --style nature
5. List/Informational (--type list)
Best for: Tips, facts, key points, summaries, quick reference guides.
Key Elements: Numbered or bulleted points, icons, clear hierarchy.
python skills/infographics/scripts/generate_infographic.py \
"7 Habits of Highly Effective People: Be Proactive, \
Begin with End in Mind, Put First Things First, Think Win-Win, \
Seek First to Understand, Synergize, Sharpen the Saw" \
-o figures/habits.png --type list --style corporate
6. Geographic (--type geographic)
Best for: Regional data, demographics, location-based statistics, global trends.
Key Elements: Map visualization, color coding, data overlays, legend.
python skills/infographics/scripts/generate_infographic.py \
"Renewable energy adoption by region: Iceland 100%, Norway 98%, \
Germany 50%, USA 22%, India 20%" \
-o figures/renewable_map.png --type geographic --style nature
7. Hierarchical/Pyramid (--type hierarchical)
Best for: Organizational structures, priority levels, importance ranking.
Key Elements: Pyramid or tree structure, distinct levels, size progression.
# Wong's colorblind-safe palette
python skills/infographics/scripts/generate_infographic.py \
"Survey results by category" -o survey.png --type statistical --palette wong
Smart Iterative Refinement
How It Works
┌─────────────────────────────────────────────────────┐
│ 1. Generate infographic with Nano Banana Pro │
│ ↓ │
│ 2. Review quality with Gemini 3 Pro │
│ ↓ │
│ 3. Score >= threshold? │
│ YES → DONE! (early stop) │
│ NO → Improve prompt, go to step 1 │
│ ↓ │
│ 4. Repeat until quality met OR max iterations │
└─────────────────────────────────────────────────────┘
Quality Review Criteria
Gemini 3 Pro evaluates each infographic on:
Visual Hierarchy & Layout (0-2 points)
Clear visual hierarchy
Logical reading flow
Balanced composition
Typography & Readability (0-2 points)
Readable text
Bold headlines
No overlapping
Data Visualization (0-2 points)
Prominent numbers
Clear charts/icons
Proper labels
Color & Accessibility (0-2 points)
Professional colors
Sufficient contrast
Colorblind-friendly
Overall Impact (0-2 points)
Professional appearance
Free of visual bugs
Achieves communication goal
Review Log
Each generation produces a JSON review log:
{"user_prompt":"5 benefits of exercise...","infographic_type":"list","style":"healthcare","doc_type":"marketing","quality_threshold":8.5,"iterations":[{"iteration":1,"image_path":"figures/exercise_v1.png","score":8.7,"needs_improvement":false,"critique":"SCORE: 8.7\nSTRENGTHS:..."}],"final_score":8.7,"early_stop":true,"early_stop_reason":"Quality score 8.7 meets threshold 8.5"}
Command-Line Reference
python skills/infographics/scripts/generate_infographic.py [OPTIONS] PROMPT
Arguments:
PROMPT Description of the infographic content
Options:
-o, --output PATH Output file path (required)
-t, --type TYPE Infographic type preset
-s, --style STYLE Industry style preset
-p, --palette PALETTE Colorblind-safe palette
-b, --background COLOR Background color (default: white)
--doc-type TYPE Document typefor quality threshold
--iterations N Maximum refinement iterations (default: 3)
--api-key KEY OpenRouter API key
-v, --verbose Verbose output
--list-options List all available options
references/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 wong for colorblind-safe colors
Problem: Quality score too low
Solution: Increase iterations with --iterations 3; use more specific prompt
Problem: Wrong infographic type generated
Solution: Always specify --type flag 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
Regenerate with more specific prompt if needed
Use this skill to create professional, accessible, and visually compelling infographics using the power of Nano Banana Pro AI with intelligent quality review.
