infographics

# Infographics > **[EXPERIMENTAL] External AI Dependency** > This skill depends on Nano Banana Pro AI for image generation — an external > third-party service that may be unavailable or require separate credentials. > If Nano Banana Pro is unavailable, consider using matplotlib, plotly, or > standard image generation APIs as a fallback. ## 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:** | 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: ```bash # 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**. ```bash # 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. ```bash 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. ```bash 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. ```bash 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. ```bash 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. ```bash 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. ```bash 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. ```bash python skills/infographics/scripts/generate_infographic.py \ "Maslow's Hierarchy: Physiological, Safety, Love/Belonging, \ Esteem, Self-Actualization" \ -o figures/maslow.png --type hierarchical --style education ``` --- ### 8. Anatomical/Visual Metaphor (`--type anatomical`) Best for: Explaining complex systems using familiar visual metaphors. **Key Elements:** Central metaphor image, labeled parts, connection lines. ```bash python skills/infographics/scripts/generate_infographic.py \ "Business as a human body: Brain=Leadership, Heart=Culture, \ Arms=Sales, Legs=Operations, Skeleton=Systems" \ -o figures/business_body.png --type anatomical --style corporate ``` --- ### 9. Resume/Professional (`--type resume`) Best for: Personal branding, CVs, portfolio highlights, professional achievements. **Key Elements:** Photo area, skills visualization, timeline, contact info. ```bash python skills/infographics/scripts/generate_infographic.py \ "UX Designer resume: Skills - User Research 95%, Wireframing 90%, \ Prototyping 85%. Experience - 2020-2022 Junior, 2022-2025 Senior" \ -o figures/resume.png --type resume --style technology ``` --- ### 10. Social Media (`--type social`) Best for: Instagram, LinkedIn, Twitter/X posts, shareable graphics. **Key Elements:** Bold headline, minimal text, maximum impact, vibrant colors. ```bash python skills/infographics/scripts/generate_infographic.py \ "Save Water, Save Life: 2.2 billion people lack safe drinking water. \ Tips: shorter showers, fix leaks, full loads only" \ -o figures/water_social.png --type social --style marketing ``` --- ## 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 | ```bash # 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 healthcare ``` --- ## Colorblind-Safe Palettes ### Available Palettes (`--palette`) | Palette | Colors | Description | |---------|--------|-------------| | `wong` | Orange, sky blue, green, blue, vermillion | Most widely recommended | | `ibm` | Ultramarine, indigo, magenta, orange, gold | IBM's accessible palette | | `tol` | 12-color extended palette | For many categories | ```bash # 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: 1. **Visual Hierarchy & Layout** (0-2 points) - Clear visual hierarchy - Logical reading flow - Balanced composition 2. **Typography & Readability** (0-2 points) - Readable text - Bold headlines - No overlapping 3. **Data Visualization** (0-2 points) - Prominent numbers - Clear charts/icons - Proper labels 4. **Color & Accessibility** (0-2 points) - Professional colors - Sufficient contrast - Colorblind-friendly 5. **Overall Impact** (0-2 points) - Professional appearance - Free of visual bugs - Achieves communication goal ### Review Log Each generation produces a JSON review log: ```json { "user_prompt": "5 benefits of exercise...", "infographic_type": "list", "style": "healthcare", "doc_type": "marketing", "quality_threshold": 8.5, "iterations": [ { "iteration": 1,