teach-impeccable

To establish design guidelines for AI agent execution, you can use a skill that gathers project design context by scanning your codebase and querying you for UX and brand preferences. It synthesizes these inputs into principles saved within the AGENTS.md file.

Onboarding a new designer with project context involves generating a concise summary of your established design language and user goals. This skill automates that by analyzing codebase elements and asking targeted UX questions to document your aesthetic preferences.

Documenting UX and brand preferences requires gathering user-centric answers and analyzing existing codebase patterns. This skill persists that synthesized design context into an AGENTS.md file, ensuring your brand guidelines and design principles are permanently recorded for future reference.

Yes, it works without predefined design elements in your codebase by utilizing user-centric questioning. If the automated codebase scan finds gaps in your design context, it asks targeted UX and brand questions to establish the necessary aesthetic guidelines.

You can automate initial design context gathering by running this skill to scan your codebase for existing patterns. It automatically queries you for missing UX and brand preferences, then saves the complete design guidelines to your project's AGENTS.md file.