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teach-impeccable

Capture project design context and export it to .impeccable.md.

Updated Apr 2, 2026
Search Tags:#design#documentation#context#onboarding#ai#guidelines#ux
One-click install
npx skills add https://github.com/ev3rlit/magam-canonical-archive --skill teach-impeccable-ev3rlit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/ev3rlit/magam-canonical-archive/tree/main/.claude/skills/teach-impeccable
Command: npx skills add https://github.com/ev3rlit/magam-canonical-archive --skill teach-impeccable-ev3rlit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

  • Collects project purpose, goals, brand assets, design tokens, and existing UI patterns from the codebase.
  • Asks UX-focused questions to clarify users, brand personality, aesthetics, and accessibility needs.
  • Writes a Design Context document and updates design guidance for ongoing use.

Quick Start

Run the one-time setup to capture and persist design guidelines for your project.

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 for AI-assisted development across sessions?▼

To persist design context across sessions, run a one-time setup that scans your codebase, asks UX-focused questions, and writes the guidelines to a Markdown file for ongoing AI use.

What design guidelines does an AI config file need for consistent UX?▼

AI config files need project purpose, goals, brand assets, design tokens, and existing UI patterns to maintain consistent UX, branding, and aesthetic decisions across future sessions.

Can I update Copilot instructions with my project's design tokens and branding?▼

Yes, you can optionally update the Copilot instructions file to include your captured design tokens, branding, and accessibility needs for consistent AI-assisted development.

How do I capture existing UI patterns from a codebase for AI onboarding?▼

Capture existing UI patterns by running a setup process that scans the codebase and asks UX-focused questions, exporting the collected design tokens and patterns into a context document.

When do I need to establish persistent design context for an AI project?▼

Establish persistent design context during initial onboarding to ensure AI-assisted development consistently applies your branding, accessibility needs, and design tokens across all future sessions.

What are the limitations of using a one-time setup for design context capture?▼

A one-time setup captures a snapshot of your design context, meaning significant branding changes or new design tokens require running the setup again to update the persisted guidelines.

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