teach-impeccable

Persist design guidelines by collecting brand voice and UX context from repository artifacts, then writing them to an AI config file like .impeccable.md at the project root, ensuring consistent guidance across future AI sessions.

Design context is the cohesive set of brand, UX, and design-token guidelines inferred from repository artifacts like README and docs. Your AI needs it to provide consistent, project-aligned design recommendations during ongoing conversations.

Yes, you can update Copilot instructions with your design system. The setup process reads existing design information from your codebase and optionally writes consolidated UX guidelines directly to .github/copilot-instructions.md for future sessions.

Set up design tokens and brand voice for AI by running a one-time configuration process that reads existing docs and config files to infer context, then writes the consolidated design standards to an AI configuration file at the project root.

Yes, this design context setup works for multi-project environments. It supports onboarding by establishing repeatable, durable design standards through a central AI config, ensuring each project maintains consistent brand and UX guidelines.