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visual-explainer: HTML diagrams from terminal output

visual-explainer generates styled HTML pages and slide decks from complex terminal outputs like diagrams, diffs, and data tables.
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visual-explainer transforms complex terminal outputs into readable HTML pages. This agent skill addresses the common issue of unreadable ASCII art and table formats when presenting system architectures, code diffs, or data comparisons. It leverages rendering technologies beyond basic text formatting to create visually appealing and interactive documents.

visual-explainer distinguishes itself by automatically generating styled HTML with features like typography, dark/light themes, and interactive Mermaid diagrams. It offers a clean, browser-based viewing experience without requiring additional build steps or dependencies beyond a browser. Its automatic rendering of complex tables and diagrams eliminates the need for manual formatting.

  • Diagram Generation: Creates interactive Mermaid diagrams with zoom and pan for system architecture and flowcharts.
  • Diff Review: Visualizes code diffs with architecture comparison and code review features.
  • Slide Deck Creation: Generates magazine-quality slide decks from various inputs with customizable templates.
  • Data Table Rendering: Converts complex data tables into easily readable HTML tables.
  • Project Recap: Summarizes project context into a mental model snapshot for efficient context switching.
  • Fact Checking: Verifies accuracy of a document against the codebase.
  • Deployment: Deploys generated HTML pages to Vercel for immediate sharing with a live URL.

visual-explainer is actively developed with recent commits and a responsive community. The project features a clear plugin structure, detailed documentation including reference patterns and templates, and documented limitations. While relatively new, the core functionality demonstrates a solid foundation for future expansion and refinement.

Developers and technical teams benefit from visual-explainer by improving the readability and understanding of complex information. It streamlines review processes, facilitates knowledge sharing, and provides a more effective alternative to manually formatting data or relying on unreadable terminal output. By converting complex data into visually structured reports, visual-explainer enhances comprehension and accelerates decision-making.

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623
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37
Created
5 months ago
Commit
28 days ago
License
MIT
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No
Updated 17 days ago

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