teach-impeccable

To persist design context for AI across sessions, run a one-time setup skill that scans your codebase to extract brand attributes and design tokens, then writes them directly into your AI configuration file for all future sessions.

Design context in AI configuration is a persistent document containing your project goals, brand attributes, and design tokens. You need it to ensure your AI generates outputs that consistently align with your established style guidelines.

You can extract design tokens and style guidelines from an existing codebase by running an automated workflow that explores your repository to collect READMEs, configs, components, and brand assets, then saves them as a design context document.

Yes, you can set up UX-focused design guidelines automatically by triggering a skill that scans your project and poses UX questions about users, accessibility, and aesthetics, then persists the answers in your AI config.

No, gathering design context does not require manually editing the AI config file. The setup process automatically writes the extracted project goals and design tokens directly into the configuration file at your project root.

You should run a design context setup scan as a one-time initialization when starting a new project or when you want to establish persistent brand guidelines and design tokens for your AI assistant to reference in all future sessions.