teach-impeccable

To persist design system rules in your AI configuration, this skill gathers project insights and writes a Design Context section directly into your CLAUDE.md file. This ensures your AI assistant retains brand identity, design tokens, and UX research context across future sessions.

A Design Context document is a synthesized record of your project's brand identity, design tokens, and UX research. You need it during one-time project setup to provide persistent AI-guidance, ensuring generated outputs align with your established design system and stakeholder requirements.

You can gather UX research and brand identity context by scanning your codebase, brand assets, and documentation. The workflow involves repository exploration and posing UX-focused stakeholder questions to capture project goals, tone, and specific design requirements for synthesis.

Yes, you can capture stakeholder questions and design requirements by posing UX-focused questions during the setup workflow. The synthesized answers are saved into your CLAUDE.md AI config, ensuring your AI sessions understand project goals, tone, and specific design constraints.

You do not strictly need existing design tokens or brand assets to generate a Design Context, as the process includes posing UX-focused questions to capture requirements. However, having codebase assets and documentation available improves the accuracy of the synthesized AI configuration output.

The best way to write design system guidelines into CLAUDE.md is through a one-time setup workflow that explores your repository and synthesizes findings. This generates a structured Design Context section, providing persistent AI-guidance without requiring manual formatting.