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Infographics

k-dense-ai/scientific-agent-skills

Generates publication-ready infographics through Nano Banana Pro AI with built-in quality control via Gemini 3 Pro review. The smart iteration system sets different quality thresholds by use case (8.5/10 for marketing, 7.0/10 for internal docs) and stops generating once you hit the bar, which saves API calls when the first attempt is good enough. Supports 10 infographic types from timelines to statistical charts, includes optional Perplexity Sonar research for accurate data gathering, and offers colorblind-safe palettes. The workflow is straightforward: describe what you want in plain language, optionally pull in research, and get versioned outputs with detailed quality scores. Best for data visualization and marketing materials where you need professional polish without design skills.

skills.sh installs
2.1K
GitHub stars
56.6K
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill infographics --agent claude-code

Installs into .claude/skills of the current project.

Files

Infographics

Overview

Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana 2 AI for infographic generation with Gemini 3.7 Flash quality review and Perplexity Sonar for research.

How it works:

  • (Optional) Research phase: Gather candidate facts and source records using Perplexity Sonar Pro
  • Describe your infographic in natural language
  • Nano Banana 2 generates raster drafts from your content
  • Gemini 3.7 Flash reviews 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
SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/k-dense-ai/scientific-agent-skills
Categories
Git & Pull Requests, Code Review & Quality, AI & Agent Building, Data Science & ML
First seen
Jun 3, 2026

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