teach-impeccable

Scan codebases for design context and write it to .impeccable.md.

4|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Tresillo2017/zephyron --skill teach-impeccable-tresillo2017
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/Tresillo2017/zephyron/tree/main/.agents/skills/teach-impeccable
Command: npx skills add https://github.com/Tresillo2017/zephyron --skill teach-impeccable-tresillo2017

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gathers and preserves project design context so AI-powered sessions can consistently reflect established guidelines.

Core Features & Use Cases

  • Collects design context from codebase, docs, and brand assets to seed a persistent AI config.
  • Writes the resulting context to a central file and, optionally, CLAUDE.md for cross-tool alignment.
  • Enables one-time setup that ensures future interactions follow the defined design principles across projects and teams.

Quick Start

Run the teach-impeccable skill once to collect design context and persist it to the AI config for all future sessions.

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 so AI follows my project guidelines in every session?

You can persist design context by scanning your codebase for brand assets, tokens, and docs, then writing the collected guidelines to an AI configuration file like .impeccable.md for consistent future sessions.

What is the best way to capture brand assets and design tokens for AI-assisted development?

The best way to capture brand assets and design tokens is running a one-time codebase scan that collects design context from docs and brand files, seeding a persistent AI configuration file.

How do I set up UX onboarding to ensure consistent design guidelines across teams?

Set up UX onboarding by gathering project design context from your codebase and docs, then persisting it to an AI configuration file to ensure consistent design guidelines across teams and projects.

Can I use CLAUDE.md to align design system context across multiple AI tools?

Yes, you can use CLAUDE.md as an optional extension to align design system context across multiple AI tools, writing the scanned design context alongside the central .impeccable.md configuration file.

Does AI configuration for design context require a codebase scan every session?

No, AI configuration for design context requires a codebase scan only once to collect and persist the design guidelines, ensuring all future sessions automatically follow the established principles without rescanning.