teach-impeccable

Scans codebase, docs and brand assets to create and persist a design-context file.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill teach-impeccable-gp-softwaredivision
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/GP-SoftwareDivision/genova_ai/tree/main/.agents/skills/teach-impeccable
Command: npx skills add https://github.com/GP-SoftwareDivision/genova_ai --skill teach-impeccable-gp-softwaredivision

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, establishing persistent guidelines for all future sessions.

Core Features & Use Cases

  • Context discovery: scans codebase, docs, and brand assets to capture design context and UX goals.
  • Persistent guidance: writes design context to the AI workspace so prompts are guided by the same guidelines across sessions.
  • Design handoff: creates or updates a design-context file in the project root (e.g., .impeccable.md) and can extend to governance docs like .github/copilot-instructions.md when requested.

Quick Start

Run the one-time setup to generate 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 guidelines across AI coding sessions?▼

To persist design guidelines across sessions, a one-time setup scans your codebase, docs, and brand assets to capture UX goals, writing them to an AI config file so future prompts automatically adhere to these rules.

What is the best way to establish persistent brand voice and UX context for AI code generation?▼

Establishing persistent brand voice and UX context involves scanning project documentation and brand assets to extract design rules, then saving this design context directly into the AI workspace configuration for ongoing guidance.

Can I save design system rules to my AI workspace configuration?▼

Yes, you can save design system rules to your AI workspace by running a context discovery process that writes a design-context file in the project root and updates the AI configuration to apply these guidelines.

Does the design context setup write to governance docs like copilot-instructions?▼

Yes, the design context setup can extend to governance docs by creating or updating files like .github/copilot-instructions.md when requested, ensuring design accessibility considerations are enforced.

How do I apply accessibility considerations to AI-generated code automatically?▼

To apply accessibility considerations automatically, the setup scans your project to capture these requirements and persists them to the AI config, ensuring all future sessions generate code adhering to the specified accessibility goals.

What limitations exist when scanning a codebase for design context?▼

Limitations when scanning a codebase for design context include its nature as a one-time setup process, meaning any subsequent changes to brand guidelines or UX goals require running the discovery setup again to update the persistent configuration.