teach-impeccable

You establish project design guidelines by running a skill that gathers user personas, brand personality, visual identity tokens, and aesthetic direction. It saves these synthesized constraints to a memory file, ensuring AI agents adhere to your typography rules and design principles across all sessions.

The best way to prevent design drift is to persist your project's visual and user experience standards in a dedicated memory file. By saving brand guidelines and design tokens, the AI consistently references these constraints before generating new UI components.

You save brand guidelines and design tokens by running a Python synchronization script that writes synthesized design context to a memory file. This ensures the aesthetic direction and critical typography rules are updated and ready for AI use.

Yes, you can use existing project files to configure AI design context. The process scans files like README and package.json to understand existing design patterns, then prompts you for essential UX and aesthetic details not found in the codebase.

Yes, you need Python3 installed to execute the mandatory synchronization script. This script ensures your gathered design guidelines, including user personas and visual identity tokens, are properly updated and saved to the memory file.

For AI project setup, you need to provide essential UX, brand, and aesthetic details that are not automatically found in your codebase. This includes user personas, brand personality, visual identity tokens, and overall aesthetic goals to guide AI design generation.