teach-impeccable

Scan codebases to generate and persist design context in .impeccable.md.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/han-so1omon/ikam --skill teach-impeccable-han-so1omon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/han-so1omon/ikam/tree/main/skills/teach-impeccable
Command: npx skills add https://github.com/han-so1omon/ikam --skill teach-impeccable-han-so1omon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams capture design context and persist design guidelines across sessions by generating a centralized, reusable Design Context document.

Core Features & Use Cases

  • Context capture: Scans the codebase to identify project goals, brand attributes, design tokens, and accessibility considerations.
  • Guideline persistence: Creates or updates a Design Context file at the repository root to ensure consistent guidance across future work.
  • Optional integration: Can append context to .github/copilot-instructions.md to propagate guidelines into the AI environment.

Quick Start

Generate a Design Context by exploring the project, then create or update .impeccable.md with the design guidelines.

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 guidelines across AI coding sessions?

You can capture design context by scanning the codebase to identify users, brand voice, aesthetic direction, and accessibility considerations, then persisting these guidelines into an AI config file for consistent future guidance.

What is a design context file and how does it work with AI configs?

A design context file centralizes project goals, brand attributes, design tokens, and accessibility considerations by analyzing the codebase and saving guidelines to the AI config, ensuring consistent guidance across future sessions.

Can I append design guidelines to .github/copilot-instructions.md?

Yes, the skill can optionally append captured design context, including brand voice and accessibility considerations, directly to .github/copilot-instructions.md to propagate guidelines into the AI environment.

Does the design context generation require frontmatter validation?

Yes, generating the Design Context file includes frontmatter validation for name and description to ensure the captured project goals and design tokens are correctly formatted for AI config integration.

What is the best way to document design tokens and accessibility considerations for AI tools?

The best way is to scan the codebase to collect aesthetic direction and accessibility considerations, then generate a centralized Design Context file at the repository root to provide consistent guidance for future AI sessions.

What limitations exist when capturing design context from an existing repository?

Capturing design context requires scanning the codebase, so limitations arise if the repository lacks established design tokens, brand voice documentation, or clear accessibility considerations to extract into the Design Context file.