domains / design / infographic-generation / infographics

infographics

Skill card

combined

The three copies describe the same infographic generation workflow (research, generation, review, iteration) but disagree on the underlying models and include material steps only one copy contains. K-Dense-AI uses Nano Banana 2 and Gemini 3.7 Flash, while the other two use Nano Banana Pro and Gemini 3 Pro. K-Dense-AI also adds explicit human verification, API failure handling, and a warning that a saved image can still be unreviewed or below threshold, which the other copies omit. Crowning one copy would hide a real alternative model stack and safety constraints.

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Combined skill

# Infographics

## Overview

Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses an AI image generator for infographic creation, an LLM for quality review, and Perplexity Sonar for optional research.

**How it works:**
- (Optional) **Research phase**: Gather candidate facts and source records using Perplexity Sonar Pro
- Describe your infographic in natural language
- The AI generator creates raster drafts from your content
- The review model evaluates quality against document-type thresholds
- **Smart iteration**: Regenerates when review requests improvements, within the iteration budget
- Inspect every final image at its intended display size and check claims against sources

**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 |

## Quick Start

Install the runtime dependency (`python -m pip install requests`) and set `OPENROUTER_API_KEY`. Scripts accept PNG output paths only.

Generate a draft by 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 Pro gathers candidate facts with source annotations
2. **Generation 1**: The AI generator creates the initial infographic following design best practices
3. **Review 1**: The review model evaluates quality against the document-type threshold
4. **Decision**: Stop when the scored review meets threshold and requests no further changes
5. **If improvements are requested**: Retain content and source context, refine the prompt, regenerate
6. **Repeat**: Until quality meets threshold or the iteration budget is reached; stop on API failure and keep the latest saved draft

**Output**: Versioned PNGs plus a review log with models, scores, `quality_met`, and `termination_reason`. A saved image (`success: true`) can still be unreviewed or below threshold. Human factual and visual checks remain required.

## 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 gather candidate facts and statistics using **Perplexity Sonar Pro**. The script preserves source annotations; it does not independently verify claims or source relevance. For scientific or medical publication, verify primary sources before including the resulting numbers.

### 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 recent 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
- Content you already have verified data for