teach-impeccable

Scan project assets and write design context to .impeccable.md.

Updated Mar 16, 2026

Search Tags:#documentation #design-system #ux-research #brand-guidelines #design-context #ai-config

Ready to run

npx skills add https://github.com/Muccarini/automata --skill teach-impeccable-muccarini

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/Muccarini/automata/tree/main/.agents/skills/teach-impeccable
Command: npx skills add https://github.com/Muccarini/automata --skill teach-impeccable-muccarini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gathers design context for this project and persists it to the AI config, ensuring consistent guidelines across sessions.

Core Features & Use Cases

Codebase discovery: scans README, docs, code, brand assets, and existing design tokens to collect design-related information.
Design context synthesis: aggregates findings into a unified Design Context block suitable for embedding in project docs and AI prompts.
Operational guidance: writes a Design Context section to .impeccable.md and can optionally update .github/copilot-instructions.md to guide Copilot usage.
One-time setup: runs once to seed persistent guidelines for the team.

Quick Start

Run this skill to collect design context and create a Design Context section in the project root.

Frequently Asked Questions about teach-impeccable

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

FAQPage Schema

How do I establish persistent AI design guidelines from my codebase?▼

To establish persistent AI design guidelines, this skill scans your project's README, docs, code, and brand assets to synthesize a Design Context block, writing the consolidated design guidelines directly to .impeccable.md for ongoing session consistency.

Can I update GitHub Copilot instructions with my project's design context?▼

Yes, you can update Copilot guidance by optionally writing the synthesized Design Context section to .github/copilot-instructions.md. This ensures GitHub Copilot adheres to your established brand and accessibility guidelines during code generation.

How to gather design tokens and brand guidelines for AI code generation?▼

Gather design tokens and brand guidelines by running a one-time codebase discovery scan. The process identifies existing design-related information from project assets and persists it as a Design Context section in the project root.

What's the best way to maintain design system consistency across AI sessions?▼

Maintain design system consistency by persisting a Design Context block to .impeccable.md. Writing design context to the AI config ensures that UX research, brand guidelines, and accessibility decisions remain accessible across ongoing project sessions.

Does this design context generation work for early design phases and existing projects?▼

Yes, design context generation is applicable to both early design phases and ongoing projects. It captures users, brand, accessibility, tokens, and decision rationales to seed persistent guidelines for the team whenever needed.