Colors v0.1.0

AI-Optimized Documentation

Machine-readable documentation for AI assistants, coding copilots, and LLM-powered tools.

What is llms.txt?

The llms.txt convention provides AI assistants with structured, plain-text documentation optimized for context windows. This helps tools like Claude, ChatGPT, GitHub Copilot, and Cursor understand how to use @sveltopia/colors correctly.

Available Files

How to Use

With Claude, ChatGPT, or similar

Paste the contents of llms-full.txt into your conversation, or ask the AI to fetch it:

"Read https://colors.sveltopia.dev/llms-full.txt and help me generate a brand palette"

With Cursor or VS Code + Copilot

Add to your project's AI context or reference the URL in your prompt:

@https://colors.sveltopia.dev/llms-full.txt

Download for offline use

Save locally and include in your project's documentation context:

What's Included

The full documentation covers:

  • Installation & CLI — Generate and dev commands, interactive mode, config files
  • 12-Step Scale System — Radix step semantics, Tailwind mapping, safe color pairings
  • Export Formats — CSS, JSON, Tailwind v4, Tailwind v3, shadcn, Radix, Panda CSS
  • Programmatic API — generatePalette, analyzeBrandColors, all export functions
  • Accessibility — APCA validation, contrast thresholds, auto-remediation
  • Key Types — Palette, Scale, TuningProfile, ContrastReport
  • Common Patterns — Generate + export workflows, CI validation, brand analysis

About the Convention

The llms.txt convention was popularized by the AI development community as a way to provide documentation that's optimized for LLM context windows. Unlike HTML documentation, these plain-text files:

  • Use minimal tokens (no HTML/CSS overhead)
  • Include complete code examples
  • Follow a consistent, parseable structure
  • Can be easily fetched and included in AI prompts