The markdown‑viewer/skills library provides 13 AI‑driven skills that let you generate UML, cloud, network, security, and data visualizations directly from Markdown, eliminating the need for external tools like Visio or Figma, and can be installed with a single npx command.
This article introduces the Markdown Viewer Agent Skills collection—a set of 13 skills spanning five rendering engines that let AI coding assistants such as Claude Code, Codex, and Cursor create professional diagrams, infographics, and UML models directly inside Markdown, and provides a detailed feature comparison, installation guide, usage examples, and selection advice versus the competing fireworks‑tech‑graph tool.
The article explains how Obsidian users can overcome the hassle of external chart tools by installing the Vega Visualizations plugin, writing declarative JSON specifications, and rendering a variety of charts—simple and complex—right inside their markdown notes, complete with installation steps, examples, and troubleshooting tips.
This tutorial explains how to create rational, layered choropleth maps using Python libraries like Pandas together with Vega and GeoJSON, covering data preparation, FIPS mapping, and generating visualizations for population density, income, and unemployment rates.
