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Agent-ready HTML design skill collection for decks and Xiaohongshu cards

19
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89% credibility
Found May 26, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
HTML
AI Summary

Lieflat HTML Design is a collection of 34 beautifully crafted visual templates designed for AI assistants. It includes 12 presentation styles (like consulting reports, tech-inspired layouts, and magazine editorials), 11 Xiaohongshu longform card templates, and 11 Xiaohongshu cover templates. Users share this template library with their AI assistant, then simply ask it to create content in a specific visual style. The assistant handles the design work, producing polished HTML visuals or exported images ready for sharing on social media, in meetings, or across the web.

How It Works

1
๐Ÿ’ก You realize you need beautiful visuals

You have content to shareโ€”a product review, a brand presentation, a social media postโ€”but making it look good feels overwhelming.

2
๐ŸŽจ You discover a collection of ready-made designs

You find a library of carefully crafted visual templates: sleek presentations, magazine-style layouts, tech-inspired designs, and social media cards.

3
๐Ÿค– Your AI assistant learns these styles

You share the template collection with your AI assistant, and it instantly understands how to use each design style.

4
You pick your visual direction
๐Ÿ“Š
Data-heavy report

Consulting Report style with charts and metrics

๐Ÿ“ฑ
Social media post

Xiaohongshu card with vertical layout

๐Ÿ’ผ
Brand presentation

Editorial or premium campaign style

5
๐Ÿ–ผ๏ธ Your assistant creates the design

You describe your content and preferred style, and your assistant generates a polished HTML design ready to use.

๐ŸŽ‰ You get professional visuals instantly

Your content is transformed into a beautiful, shareable design that looks like it was made by a professional designer.

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AI-Generated Review

What is lieflat-html-design?

Lieflat-html-design is an HTML visual design skill collection built for AI agents. It packages 12 presentation style families and 22 Xiaohongshu card templates as reusable skills that agents like Codex, Claude Code, and Moxt can read to generate polished visual output. The collection covers horizontal HTML decks for presentations, longform vertical cards for Xiaohongshu articles, and cover cards for Xiaohongshu thumbnails. Each template ships in both Chinese and English variants, with scripts to capture screenshots and export PNG cards directly.

Why is it gaining traction?

The project solves a real pain point: AI-generated content often looks bland and generic. This collection gives agents a curated library of design systems to choose from, covering everything from consulting reports and technical analysis to Y2K brand manuals and image-led portfolios. The skill-based architecture means you can drop a prompt like "create a consulting report deck" and the agent picks the right template, swaps the content, and produces something presentable. The router skill makes it frictionless for users who just have content and want appropriate visual output without deciding which format they need.

Who should use this?

This is for content creators, marketers, and technical writers who work with AI agents and need visuals that don't look AI-generated. Startup founders building pitch decks, consultants producing market research reports, and creators managing Xiaohongshu presence will find the most value. If you're prompting agents to produce social cards or presentations regularly, these skills can tighten the output significantly.

Verdict

A thoughtful, well-organized design system for AI agent workflows. The bilingual coverage and Xiaohongshu-specific optimization fill a genuine gap for creators targeting Chinese platforms. With only 19 stars and a credibility score of 0.8999999761581421%, the project is early-stage and community traction is minimal. That said, the documentation is thorough, the preview gallery is extensive, and the MIT license makes experimentation risk-free. Worth installing if you regularly use AI agents for content production and want more polished results.

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