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Get Started Free →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.
.claude/skills/mkurman-infographics/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -23% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -22% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -23% | 0% |
---------|-----------|-------------| | 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.
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:
Smart Iteration Benefits:
Output: Versioned images plus a detailed review log with quality scores, critiques, and early-stop information.
Use the infographics skill when:
Use scientific-schematics instead for:
--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
The research phase automatically:
Enable research (--research) for:
Skip research for:
When research is enabled, additional files are created:
{name}_research.json - Raw research data and sources--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.
bashpython 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
--type timeline)Best for: Historical events, project milestones, company history, evolution of concepts.
Key Elements: Chronological flow, date markers, event nodes, connecting lines.
bashpython 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
--type process)Best for: Step-by-step instructions, workflows, procedures, tutorials.
Key Elements: Numbered steps, directional arrows, action icons, clear flow.
bashpython 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
--type comparison)Best for: Product comparisons, pros/cons, before/after, option evaluation.
Key Elements: Side-by-side layout, matching categories, check/cross indicators.
bashpython 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
--type list)Best for: Tips, facts, key points, summaries, quick reference guides.
Key Elements: Numbered or bulleted points, icons, clear hierarchy.
bashpython 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
--type geographic)Best for: Regional data, demographics, location-based statistics, global trends.
Key Elements: Map visualization, color coding, data overlays, legend.
bashpython 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
--type hierarchical)Best for: Organizational structures, priority levels, importance ranking.
Key Elements: Pyramid or tree structure, distinct levels, size progression.
bashpython skills/infographics/scripts/generate_infographic.py \ "Maslow's Hierarchy: Physiological, Safety, Love/Belonging, \ Esteem, Self-Actualization" \ -o figures/maslow.png --type hierarchical --style education
--type anatomical)Best for: Explaining complex systems using familiar visual metaphors.
Key Elements: Central metaphor image, labeled parts, connection lines.
bashpython 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
--type resume)Best for: Personal branding, CVs, portfolio highlights, professional achievements.
Key Elements: Photo area, skills visualization, timeline, contact info.
bashpython 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
--type social)Best for: Instagram, LinkedIn, Twitter/X posts, shareable graphics.
Key Elements: Bold headline, minimal text, maximum impact, vibrant colors.
bashpython 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)| 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
--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
┌─────────────────────────────────────────────────────┐
│ 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 │
└─────────────────────────────────────────────────────┘Gemini 3 Pro evaluates each infographic on:
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, "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" }
bashpython 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 type for 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
bashpython skills/infographics/scripts/generate_infographic.py --list-options
Set your OpenRouter API key:
bashexport OPENROUTER_API_KEY='your_api_key_here'
Get an API key at: https://openrouter.ai/keys
✓ Good prompts (specific, detailed):
"5 benefits of meditation: reduces stress, improves focus,
better sleep, lower blood pressure, emotional balance"✗ Avoid vague prompts:
"meditation infographic"✓ Good:
"Market growth from $10B (2020) to $45B (2025), CAGR 35%"✗ Vague:
"market is growing"✓ Good:
"Timeline showing 5 milestones with icons for each event"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 specificationsProblem: Text in infographic is unreadable
Problem: Colors clash or are inaccessible
--palette wong for colorblind-safe colorsProblem: Quality score too low
--iterations 3; use more specific promptProblem: Wrong infographic type generated
--type flag for consistent resultsThis skill works synergistically with:
Before generating:
--type)--style)-o)After generating:
Use this skill to create professional, accessible, and visually compelling infographics using the power of Nano Banana Pro AI with intelligent quality review.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 43,218 | 2,996 | -93% | 1 | 1 | 0% | 5,880 | 4,552 | -23% | 0 | 0 | — |
case-02 | fail→pass | 31,262 | 10,448 | -67% | 1 | 1 | 0% | 6,205 | 4,838 | -22% | 0 | 0 | — |
case-03 | fail→pass | 19,827 | 4,408 | -78% | 1 | 1 | 0% | 3,844 | 4,775 | +24% | 0 | 0 | — |
case-04 | fail→pass | 30,046 | 12,626 | -58% | 1 | 1 | 0% | 6,176 | 6,422 | +4% | 0 | 0 | — |
case-05 | pass→pass | 51,739 | 19,363 | -63% | 1 | 1 | 0% | 6,177 | 8,202 | +33% | 0 | 0 | — |
case-06 | pass→fail | 27,888 | 12,128 | -57% | 1 | 1 | 0% | 6,169 | 6,243 | +1% | 0 | 0 | — |
case-07 | fail→pass | 29,737 | 3,562 | -88% | 1 | 1 | 0% | 6,187 | 4,783 | -23% | 0 | 0 | — |
case-08 | pass→pass | 25,691 | 3,324 | -87% | 1 | 1 | 0% | 4,875 | 4,737 | -3% | 0 | 0 | — |
case-09 | fail→pass | 30,871 | 3,570 | -88% | 1 | 1 | 0% | 6,176 | 4,834 | -22% | 0 | 0 | — |
case-10 | fail→pass | 31,696 | 2,954 | -91% | 1 | 1 | 0% | 6,176 | 4,714 | -24% | 0 | 0 | — |
case-11 | fail→pass | 30,532 | 4,261 | -86% | 1 | 1 | 0% | 6,177 | 4,873 | -21% | 0 | 0 | — |
case-12 | fail→pass | 29,906 | 3,211 | -89% | 1 | 1 | 0% | 6,174 | 4,806 | -22% | 0 | 0 | — |
case-13 | fail→pass | 31,594 | 1,987 | -94% | 1 | 1 | 0% | 6,181 | 4,545 | -26% | 0 | 0 | — |
case-14 | fail→pass | 33,189 | 2,247 | -93% | 1 | 1 | 0% | 6,190 | 4,610 | -26% | 0 | 0 | — |
case-15 | fail→pass | 30,662 | 2,647 | -91% | 1 | 1 | 0% | 6,180 | 4,660 | -25% | 0 | 0 | — |
case-16 | fail→pass | 28,561 | 2,548 | -91% | 1 | 1 | 0% | 6,178 | 4,605 | -25% | 0 | 0 | — |
case-17 | fail→pass | 29,423 | 4,743 | -84% | 1 | 1 | 0% | 6,173 | 4,616 | -25% | 0 | 0 | — |
case-18 | fail→pass | 25,066 | 2,806 | -89% | 1 | 1 | 0% | 5,531 | 4,631 | -16% | 0 | 0 | — |
case-19 | fail→pass | 30,733 | 2,459 | -92% | 1 | 1 | 0% | 6,179 | 4,657 | -25% | 0 | 0 | — |
case-20 | fail→pass | 4,870 | 1,299 | -73% | 1 | 1 | 0% | 774 | 4,375 | +465% | 0 | 0 | — |
case-21 | fail→pass | 23,276 | 3,704 | -84% | 1 | 1 | 0% | 4,854 | 4,666 | -4% | 0 | 0 | — |
case-22 | fail→pass | 29,707 | 2,826 | -90% | 1 | 1 | 0% | 6,175 | 4,707 | -24% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +77 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.