teach-impeccable

Gather project design context and persist it to the AI config.

Updated May 16, 2025
One-click install
npx skills add https://github.com/range-et/slate --skill teach-impeccable-range-et
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/range-et/slate/tree/main/.cursor/skills/teach-impeccable
Command: npx skills add https://github.com/range-et/slate --skill teach-impeccable-range-et

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams capture and persist design rationale, goals, constraints, and branding guidelines, ensuring consistent AI-assisted design decisions across sessions.

Core Features & Use Cases

  • One-time setup: Collects essential design context and saves it to a central AI config.
  • Context-driven guidance: Enables future prompts and AI responses to reflect established guidelines.
  • Design-context evolution: Supports updates as the project evolves and new insights emerge.

Quick Start

Run the one-time setup to gather context and persist design guidelines to the 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 and brand context across AI sessions?

To persist design guidelines across AI sessions, run a one-time setup that gathers project goals, constraints, and brand tokens, then saves them to a central AI config artifact for consistent future design decisions.

What is the best way to capture design context for ongoing AI-assisted design reviews?

Capturing design context during ongoing design reviews involves updating a central Design Context artifact with new insights and constraints, ensuring the AI config reflects the latest project rationale for future prompts.

Can I update design tokens and constraints as my project evolves?

Yes, you can update design tokens and constraints as your project evolves by feeding new insights into the Design Context artifact, which updates the central AI config to guide subsequent AI-assisted work.

Does this approach work for one-time setup or do I need to configure it every session?

This approach works for one-time setup by collecting essential design context and saving it to the AI config, eliminating the need to reconfigure brand guidelines and project constraints in every new session.

Why does my AI lose my brand guidelines and design rationale between sessions?

Your AI loses brand guidelines and design rationale between sessions because the context is not persisted, a problem solved by saving project goals and constraints to a central AI config during a one-time setup.

What design constraints and context does an AI config need for consistent UX research?

An AI config needs project goals, brand tokens, and established design guidelines to ensure consistent UX research and context-driven guidance across all future AI-assisted design sessions.