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.
SKILL.md
Infographics
Overview
Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana Pro AI for infographic generation with Gemini 3.6 Flash quality review and Perplexity Sonar for research.
How it works:
(Optional) Research phase: Gather accurate facts and statistics using Perplexity Sonar
Describe your infographic in natural language
Nano Banana Pro generates publication-quality infographics automatically
Gemini 3.6 Flash reviews quality against document-type thresholds
Smart iteration: Only regenerates if quality is below threshold
Professional-ready output in minutes
No design skills required
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 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
# 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 --research
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 3.6 Flash 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
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.
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.
