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cv usk
@cv_usk
AI / Software Research Notes AI Agent, LLMOps, MLOps, Software Architecture ๆŠ•็จฟใฏๅ€‹ไบบใฎๆ„่ฆ‹ใงใ™ใ€‚
๊ฐ€์ž… May 2026
280 ํŒ”๋กœ์ž‰ ์ค‘    415 ํŒฌ
๐Ÿ“ Tired of AI agents turning every diagram request into a wall of box-drawing characters? This fixes that. Title: nicobailon/visual-explainer URL: ๐Ÿงฉ Overview visual-explainer is an agent skill that renders terminal output as real, browser-viewable HTML instead of ASCII art, complete with theme and font switching for a genuinely usable look. โš™๏ธ Problem it solves Asking an AI agent for diagrams or comparison tables usually meant text alignment hacks that fell apart once things got even slightly complex. Swapping that for actual HTML fixes it. ๐Ÿ›  Methodology It automatically routes content to the right technology: Mermaid for diagrams, CSS Grid for architecture overviews, HTML tables for data, Chart.js for dashboards. It also supports an LLM-free Quick mode, slide deck generation, and PPTX export. ๐ŸŽฏ Use cases ใƒปNatural language requests like "draw our authentication flow" ใƒป/diff-review for visual code diff reviews ใƒป/plan-review to check an implementation plan against the codebase ๐Ÿ“Š Track record 9.8k stars and 648 forks on GitHub, with support across Claude Code, Cursor, Codex CLI, and VS Code Copilot. #AIAgents# #DevTools#
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