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infographics

Generate infographics with Nano Banana Pro using iterative Gemini 3 Pro quality review.

Updated Oct 7, 2022
Search Tags:#design#data visualization#image generation#openrouter#infographic#colorblind-safe#quality review
One-click install
npx skills add https://github.com/tamagusko/linux-cfg --skill infographics-tamagusko
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: infographics
Source: https://github.com/tamagusko/linux-cfg/tree/main/dotfiles/claude/skills/infographics
Command: npx skills add https://github.com/tamagusko/linux-cfg --skill infographics-tamagusko

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve? Creating professional infographics normally requires design skills and manual iteration; this Skill generates publication-quality infographics from natural language descriptions and automatically reviews and refines them until they meet a quality threshold. ## Core Features & Use Cases - AI Generation with Quality Review: Nano Banana Pro generates the infographic, then Gemini 3 Pro scores it against document-type thresholds (6.5-8.5/10) and regenerates only if below target. - 10 Types, 8 Styles, Colorblind-Safe Palettes: Supports statistical, timeline, process, comparison, list, geographic, hierarchical, anatomical, resume, and social types with industry style presets and Wong/IBM/Tol palettes. - Optional Research Phase: The --research flag uses Perplexity Sonar to gather accurate facts and statistics before generation. - Use Case: Run the script with a prompt like "Global AI market size and growth" with --type statistical --research to produce a data-accurate infographic plus a JSON review log with scores and critiques. ## Quick Start Ask the AI to generate a statistical infographic about your topic saved to figures/output.png using the infographics skill with the corporate style.

Frequently Asked Questions about infographics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an infographic with AI from a text prompt?▼

Run generate_infographic.py with a descriptive prompt, an output path via -o, and a --type flag such as statistical or timeline. The script calls Nano Banana Pro through OpenRouter and saves a versioned PNG plus a review log.

What infographic types and styles does the script support?▼

It supports 10 types including statistical, timeline, process, comparison, list, geographic, hierarchical, anatomical, resume, and social. Eight industry styles are available: corporate, healthcare, technology, nature, education, marketing, finance, and nonprofit.

How does the iterative quality review work?▼

After each generation, Gemini 3 Pro scores the image on layout, typography, data visualization, color, and impact. If the score meets the document-type threshold it stops early; otherwise it refines the prompt and regenerates up to the iteration limit.

Does infographic generation require an API key?▼

Yes, an OpenRouter API key is required, set via the OPENROUTER_API_KEY environment variable or the --api-key flag. Keys are available at openrouter.ai/keys.

How do I make infographics with accurate, up-to-date data?▼

Use the --research flag, which queries Perplexity Sonar Pro to gather 5-8 facts, statistics, and sources before generation. The researched content is injected into the generation prompt and saved to a research JSON file.

Why is text in my generated infographic unreadable?▼

Unreadable text usually means too much content in the prompt. Reduce the text, specify a --type for appropriate layout, and use --palette wong for colorblind-safe contrast; increase --iterations if quality scores stay low.

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