infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Works with
---
name: infographics
description: Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
license: MIT
---
# 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:
```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 3.6 Flash** 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
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](references/infographic_type_catalog.md) and
[references/infographic_types.md](references/infographic_types.md).
## 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 and CLI
The generate-review-refine loop, every command-line option, and configuration are in
[references/iterative_refinement.md](references/iterative_refinement.md).
## Prompt Engineering Tips
### Be Specific About Content
✓ **Good prompts** (specific, detailed):
```
"5 benefits of meditation: reduces stress, improves focus,
better sleep, lower blood pressure, emotional balance"
```
✗ **Avoid vague prompts**:
```
"meditation infographic"
```
### Include Data Points
✓ **Good**:
```
"Market growth from $10B (2020) to $45B (2025), CAGR 35%"
```
✗ **Vague**:
```
"market is growing"
```
### Specify Visual Elements
✓ **Good**:
```
"Timeline showing 5 milestones with icons for each event"
```
---
## Reference Files
For detailed guidance, load these reference files:
- **`references/infographic_types.md`**: Extended templates for all 10+ types
- **`references/design_principles.md`**: Visual hierarchy, layout, typography
- **`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
---
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