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 Pro 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 Pro 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:

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:

1. (Optional) Research: Perplexity Sonar gathers accurate facts, statistics, and data
2. Generation 1: Nano Banana Pro creates initial infographic following design best practices
3. Review 1: Gemini 3 Pro evaluates quality against document-type threshold
4. Decision: If quality >= threshold → DONE (no more iterations needed!)
5. If below threshold: Improved prompt based on critique, regenerate
6. 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:

1. Gathers Key Facts: 5-8 relevant facts and statistics about the topic
2. Provides Context: Background information for accurate representation
3. Finds Data Points: Specific numbers, percentages, and dates
4. Cites Sources: Mentions major studies or sources
5. 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 \
  "History of AI: 1950 Turing Test, 1956 Dartmouth Conference, \
   1997 Deep Blue, 2016 AlphaGo, 2022 ChatGPT" \
  -o figures/ai_history.png --type timeline --style technology

3. Process/How-To (--type process)

Best for: Step-by-step instructions, workflows, procedures, tutorials.

Key Elements: Numbered steps, directional arrows, action icons, clear flow.

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.

Key Elements: Side-by-side layout, matching categories, check/cross indicators.

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)

B