// One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.
| name | teach-impeccable |
| description | One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines. |
Gather design context for this project, then persist it for all future sessions.
Before asking questions, thoroughly scan the project to discover what you can:
Note what you've learned and what remains unclear.
ask the user directly to clarify what you cannot infer. Focus only on what you couldn't infer from the codebase:
Skip questions where the answer is already clear from the codebase exploration.
Synthesize your findings and the user's answers into a ## Design Context section:
## Design Context
### Users
[Who they are, their context, the job to be done]
### Brand Personality
[Voice, tone, 3-word personality, emotional goals]
### Aesthetic Direction
[Visual tone, references, anti-references, theme]
### Design Principles
[3-5 principles derived from the conversation that should guide all design decisions]
Write this section to .impeccable.md in the project root. If the file already exists, update the Design Context section in place.
Then ask the user directly to clarify what you cannot infer. whether they'd also like the Design Context appended to .github/copilot-instructions.md. If yes, append or update the section there as well.
Confirm completion and summarize the key design principles that will now guide all future work.
Adapt designs to work across different screen sizes, devices, contexts, or platforms. Ensures consistent experience across varied environments.
Analyze a feature and strategically add animations and micro-interactions that enhance understanding, provide feedback, and create delight.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Push interfaces past conventional limits with technically ambitious implementations. Whether that's a shader, a 60fps virtual table, spring physics on a dialog, or scroll-driven reveals — make users ask "how did they do that?"