What problem does it solve? Design decisions made without documented context lead to inconsistent interfaces across sessions. This Skill captures your project's users, brand personality, and aesthetic direction once, then saves it as persistent design guidelines that inform all future design work. ## Core Features & Use Cases - Codebase Discovery: Scans README files, package configs, existing components, brand assets, and CSS variables to infer design context before asking questions. - Guided Questioning: Uses structured prompts covering users, brand personality, aesthetic preferences, and accessibility requirements to fill gaps the codebase cannot answer. - Persistent Design Context: Writes a synthesized Design Context section to .impeccable.md in the project root, with an optional copy appended to CLAUDE.md. - Use Case: Run once at the start of a new web project to establish design principles (e.g., minimal aesthetic, dark mode, WCAG AA compliance) that every subsequent UI task will follow. ## Quick Start Ask the AI to run the teach-impeccable setup to gather design context for this project and save it for future sessions.
