teach-impeccable

To establish project design context, this Skill scans your codebase and asks targeted UX questions to synthesize brand guidelines and aesthetic details into a persistent configuration file. This ensures AI interactions consistently adhere to your project's specific design requirements.

Aligning AI suggestions with brand guidelines requires persisting structured design context. This Skill gathers brand personality, target audience insights, and accessibility requirements, saving them to prevent off-brand or misaligned UI recommendations during development.

Codebase exploration for design system extraction works by automatically scanning project files like READMEs, configs, and components. The Skill infers existing design information from these assets to build a foundational understanding before querying you for missing UX details.

No specific project setup or developer tooling is required. The Skill operates directly within your existing environment by reading available project files and querying you for missing aesthetic, brand, and UX details to generate its persistent configuration output.

You need to synthesize findings into a persistent design context file before starting development on a new feature. This ensures the AI agent has immediate access to your target audience parameters and brand voice, preventing inconsistent UI generation across interactions.

The limitation of automating design context gathering is that codebase exploration can only infer existing information from project files. It cannot generate original UX research or brand guidelines, requiring targeted user questioning to fill gaps in understanding.