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teach-impeccable

Extracts codebase design tokens and persists them into AI config file for future sessions.

45|3|Updated Jan 20, 2026
Search Tags:#onboarding#ux-design#design-tokens#brand-guidelines#design-context#ai-config
One-click install
npx skills add https://github.com/YuDefine/nuxt-supabase-starter --skill teach-impeccable-yudefine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/YuDefine/nuxt-supabase-starter/tree/main/.claude/skills/teach-impeccable
Command: npx skills add https://github.com/YuDefine/nuxt-supabase-starter --skill teach-impeccable-yudefine

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically collect and persist comprehensive design context (goals, brand guidelines, design tokens) into the AI's persistent configuration so design decisions stay aligned across sessions.

Core Features & Use Cases

  • One-time exploration of the codebase to surface README/docs, branding, tokens, and existing patterns.
  • Interactive questions to clarify design requirements, then persist the answers into the design context for future sessions.
  • Design-context persistence that ensures consistent UX decisions, branding, and guidelines across projects and teams.

Quick Start

Run the one-time setup to explore the project, collect design context, and save it to the AI config file.

Frequently Asked Questions about teach-impeccable

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I persist design context and brand guidelines for AI-assisted UX design across sessions?▼

You can persist design context by running a one-time setup that extracts brand assets, guidelines, and design tokens from your codebase, saving them into a persistent AI config file to guide future UX design sessions.

What is design context persistence and why do I need it for onboarding?▼

Design context persistence is the process of storing project-wide goals, brand guidelines, and design tokens in an AI config file. It ensures consistent UX decisions and interaction patterns across sessions when onboarding teams to new design projects.

How do I extract design tokens and brand assets from my codebase into AI configuration?▼

You can extract design tokens and brand assets by initiating a one-time codebase exploration that surfaces README docs and existing patterns, then interactively clarifying requirements to store these details in the AI configuration.

Can I use this design context setup for new design projects without existing documentation?▼

Yes, for new design projects without existing documentation, the setup interactively asks questions to clarify your design requirements, then persists those answers directly into the design context for future AI engagements.

Does applying persistent design context require manual updates to the AI config file?▼

No, applying persistent design context does not require manual config updates because the setup automatically extracts codebase details and brand guidelines, storing them directly in the AI configuration file for all future sessions.

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