infographics

What this skill does

# 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:**
| 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`)