teach-impeccable

Capture project design context and persist it in AI configuration.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/davidbasilefilho/skills --skill teach-impeccable-davidbasilefilho
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/davidbasilefilho/skills/tree/main/skills/teach-impeccable
Command: npx skills add https://github.com/davidbasilefilho/skills --skill teach-impeccable-davidbasilefilho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather design context for this project, then persist it for all future sessions.

Core Features & Use Cases

  • Explore the codebase to capture project design context, brand guidelines, and design tokens.
  • Generate a Design Context document to guide AI interactions and project decisions.
  • Persist design guidelines to the AI config for persistent usage across sessions.

Quick Start

Run the one-time setup to scan the repository and persist design guidelines to your AI config.

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 guidelines in AI configuration across sessions?

To persist design guidelines in AI configuration, you can run a one-time setup to scan your codebase and generate a Design Context document. This context is stored in a .impeccable.md file and the AI config for consistent reference across all future sessions.

What's the best way to capture project design context during onboarding?

The best way to capture project design context during onboarding is to scan the repository to identify brand guidelines and design tokens. This process automatically generates a reference document to guide ongoing AI interactions and project decisions.

Does this design context capture tool require any specific dependencies?

No specific dependencies are required to capture design context. The tool operates independently to explore the codebase and enforce YAML frontmatter with name and description before storing guidelines in the .impeccable.md file.

How do design system guidelines get stored for ongoing AI reference?

Design system guidelines are stored for ongoing AI reference by generating a Design Context section within a .impeccable.md file. This ensures the captured brand guidelines and design tokens persist in the AI configuration throughout the project lifecycle.

Can I use this to lock in brand guidelines for consistent code generation?

Yes, you can lock in brand guidelines for consistent code generation by persisting them to the AI config. The tool captures project design context and stores it in .impeccable.md, ensuring all future sessions adhere to the established design system rules.