teach-impeccable

Solid

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.

AI & Automation 389 stars 36 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 92/100

Stars 20%
86
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

Gather design context for this project, then persist it for all future sessions. ## Step 1: Explore the Codebase Before asking questions, thoroughly scan the project to discover what you can: - **README and docs**: Project purpose, target audience, any stated goals - **Package.json / config files**: Tech stack, dependencies, existing design libraries - **Existing components**: Current design patterns, spacing, typography in use - **Brand assets**: Logos, favicons, color values already defined - **Design tokens / CSS variables**: Existing color palettes, font stacks, spacing scales - **Any style guides or brand documentation** Note what you've learned and what remains unclear. ## Step 2: Ask UX-Focused Questions ask the user directly to clarify what you cannot infer. Focus only on what you couldn't infer from the codebase: ### Users & Purpose - Who uses this? What's their context when using it? - What job are they trying to get done? - What emotions should the interface evoke? (confidence, delight, calm, urgency, etc.) ### Brand & Personality - How would you describe the brand personality in 3 words? - Any reference sites or apps that capture the right feel? What specifically about them? - What should this explicitly NOT look like? Any anti-references? ### Aesthetic Preferences - Any strong preferences for visual direction? (minimal, bold, elegant, playful, technical, organic, etc.) - Light mode, dark mode, or both? - Any colors that must be used or avoided? ### Acce...

Details

Author
mxyhi
Repository
mxyhi/ok-skills
Created
3 months ago
Last Updated
today
Language
C#
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category