What problem does it solve?
This Skill captures scattered design, brand, and UX information from a codebase and turns it into a persistent, machine-readable Design Context so future AI sessions and contributors have consistent guidance and avoid ad-hoc decisions.
Core Features & Use Cases
- Repository discovery: Scan README, configs, package files, components, assets, and any existing design tokens or brand files to collect explicit and implicit design signals.
- Targeted UX interrogation: Ask concise, user-facing questions about users, brand personality, accessibility needs, and aesthetic preferences to fill gaps the codebase cannot reveal.
- Synthesis and persistence: Create or update a standardized
## Design Context section in .impeccable.md and optionally append the same guidance to .github/copilot-instructions.md for persistent, project-wide AI behavior.
- Use case: Run once when onboarding an AI assistant to a new repository to establish consistent visual and interaction guidelines that will be reused across future tasks.
Quick Start
Gather design context from this repository, save it to .impeccable.md, and then ask me any unanswered UX or brand questions.