infographics

Generate publication-quality infographics with iterative AI review and detailed logs.

321|26|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/mkurman/tamux --skill infographics-mkurman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: infographics
Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/infographics
Command: npx skills add https://github.com/mkurman/tamux --skill infographics-mkurman

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the creation of high-quality infographics and applies automated quality review to ensure publication-grade outputs, reducing design time and iteration cycles.

Core Features & Use Cases

  • Automated infographic generation guided by type presets and style palettes.
  • AI-based quality review with Gemini 3 Pro and smart iteration to stop when thresholds are met.
  • Research integration and optional data lookup for up-to-date content and credible sources.
  • Output includes versioned images and detailed review logs for traceability.
  • Use Case: Marketing teams producing data-driven visuals for reports and social campaigns with consistent branding.

Quick Start

Describe your infographic concept and run the generator to produce a publication-ready image.

Frequently Asked Questions about infographics

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

FAQPage Schema
How do I generate AI infographics with automated quality review?

Generate infographics by describing your concept to the AI generator, which applies type presets, style palettes, and branding rules. Gemini 3 Pro runs iterative quality checks against document thresholds, stopping automatically when publication-grade output is achieved.

What is the best way to create data-backed visuals for marketing campaigns?

Create data-backed visuals by using AI generation with optional research data lookup for credible sources. The system outputs versioned images and detailed review logs, ensuring marketing campaigns maintain branding consistency and accessibility without manual iteration.

Can I use AI to ensure branding consistency and accessibility in data visualization?

Yes, AI generation ensures branding consistency and accessibility by applying predefined style palettes and document-type thresholds. Smart iterative refinement evaluates the visual content against these requirements, automatically refining until standards are met.

How does smart iterative refinement work for infographic generation?

Smart iterative refinement generates an infographic, evaluates it with Gemini 3 Pro for quality, and automatically adjusts visual elements until document-type thresholds are satisfied. This automated loop stops when publication-grade quality is reached, minimizing manual iteration.

What are the limitations of using AI generation for visual content?

Limitations of AI infographic generation include dependency on clear concept descriptions and the system's interpretation of data. While automated quality checks apply document-type thresholds, highly complex or custom visual formats may require manual review of the detailed review logs.

Do I need the requests dependency to run the infographic generator?

Yes, the requests dependency is required to enable research integration and optional data lookup. This allows the infographic generator to fetch up-to-date content and credible sources during the automated visual content creation process.