Landing Page Component Kit
Generate design-system-aware landing page sections that inherit your CSS variables and conversion copy patterns.
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Works with the AI tools you already use
See it in action
You say
Read ./styles/tokens.css and generate a Hero and a 3-tier Pricing Table for a SaaS product. Output as separate files.
Your agent does
Generating hero.html, hero.css, pricing.html, and pricing.css. Tokens found: --color-primary-500, --font-sans, --space-xl. Mode: SaaS (using "Start Free Trial" CTAs). Components use BEM naming and inherit your CSS variables for colors and radius.
What you get
About this skill
The problem
Building landing pages starts with high-effort layout work that usually ignores your existing design system. New components often require manual style overrides to match your brand colors, spacing, and typography tokens.
What it does
- Generates 9 production-ready section types including Heroes, Pricing Tables, and FAQ accordions.
- Injects your specific CSS custom entries for colors, fonts, and spacing into every component.
- Adjusts messaging hierarchy based on business type, such as SaaS, DevTool, or AI Product.
- Ensures accessibility with ARIA attributes, keyboard navigation, and reduced-motion support.
- Outputs clean BEM-style HTML and CSS with tiny vanilla JS for interactive elements.
Frameworks & tools
Framework-agnostic. Generates standard HTML5, CSS3, and vanilla JavaScript. Compatible with React, Vue, Astro, and static site generators.
Why this beats prompting it yourself
Generic prompts produce inconsistent layouts that you have to restyle by hand. This tool reads your theme file first to ensure every pixel uses your design tokens. It also handles edge cases like dark mode media queries and accessible FAQ patterns that standard LLM outputs often miss.
Use cases
- Scaffolding a complete marketing site from a design token file.
- Adding a high-conversion pricing table to an existing web app.
- Generating accessible, mobile-responsive section variants for A/B testing.
- Creating developer-focused landing pages with terminal-style UI placeholders.
Known limitations
Requires a CSS custom property file for automatic skinning. Interactive components like the carousel require the included vanilla JS file for full functionality.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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