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Visual Explainer (Grade A) logo

Visual Explainer (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Generate self-contained HTML pages that visually explain systems, data stories, investigations, editorial workflows, and code changes. Use when th

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Visual Explainer is a security-tested data-ai skill for Claude AI that generates self-contained HTML pages to visually explain systems, data stories, investigations, editorial workflows, and code changes. It is designed to be used when a user requests a diagram, architecture overview, diff review, plan review, project recap, source map, comparison table, timeline, or any visual explanation of technical or editorial concepts. The skill can also proactively render complex ASCII tables as styled HTML pages. It was adapted from nicobailon/visual-explainer with journalism, newsroom, and academic design sensibilities.

Key features

  • Generate self-contained HTML pages for technical diagrams and editorial visualizations
  • Proactive table rendering for complex data
  • Detailed prompt templates for various use cases
  • Available commands for diff review, plan review, project recap, and more
  • Adapted with specific design sensibilities for journalism, newsroom, and academia

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Technical Diagramming

Generate HTML diagrams for technical concepts, such as system architecture or data workflows, to facilitate understanding among developers and non-technical stakeholders.

Editorial Visualization

Create visually appealing HTML pages to explain editorial workflows, investigations, or data stories, making it easier for reporters and editors to communicate complex information.

Pros & Cons

Pros

  • Generates visually appealing and easy-to-understand HTML pages for complex technical and editorial concepts
  • Proactively renders complex ASCII tables as HTML pages for better presentation
  • Adapted with journalism, newsroom, and academic design sensibilities for specific use cases
  • Available commands and detailed prompt templates for streamlined usage

Cons

  • Requires a browser to view generated HTML files
  • Optional surf-cli for AI image generation may add extra dependency

Reviews

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Q&A

Are there any limitations I should be aware of when using Visual Explainer?

The generated visualizations are HTML files, so you need a web browser to view them. If you enable the optional surf‑cli feature for AI‑generated images, you’ll also need that extra dependency installed.

Asked by Marcus Bell · Dec 6, 2025

What types of visual content can Visual Explainer generate?

It can create HTML‑based diagrams, architecture overviews, code diff reviews, project recaps, source maps, comparison tables, timelines, and even style complex ASCII tables, all tailored for technical, editorial, newsroom, or academic contexts.

Asked by Jamal Carter · Nov 6, 2025

How does Visual Explainer integrate with Claude AI?

Visual Explainer is a data‑AI skill built for Claude AI; you invoke it directly within a Claude conversation using its dedicated commands (e.g., diff review, plan review) and Claude returns a self‑contained HTML page as the response.

Asked by Linda Petersen · Oct 1, 2025

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