teach-impeccable

Gather and persist project design context into an AI configuration file.

Updated Feb 8, 2026
One-click install
npx skills add https://github.com/wellsgz/SonarScope --skill teach-impeccable-wellsgz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/wellsgz/SonarScope/tree/main/.codex/skills/teach-impeccable
Command: npx skills add https://github.com/wellsgz/SonarScope --skill teach-impeccable-wellsgz

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

  • Collects design context (goals, audience, constraints) and stores it in the AI configuration for consistent guidance across sessions.
  • Establishes persistent design guidelines to align teams on principles and decisions.

Quick Start

Run the one-time design-context collection to persist guidelines to your AI config file.

Frequently Asked Questions about teach-impeccable

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I save design context to an AI config file for consistent UX across sessions?

To save design context, run a one-shot guided workflow that gathers project goals, audience, and constraints, then exports these settings directly to your AI configuration file for persistent reuse across sessions.

What is the best way to establish persistent design guidelines for project onboarding?

Establishing persistent design guidelines involves capturing brand attributes and design constraints once during project onboarding, storing them in your AI configuration to align teams on future design decisions.

Can I use a one-shot workflow to capture branding and design constraints for future AI interactions?

Yes, you can use a one-shot workflow to capture branding and design constraints. It operates a guided collection process that exports the gathered context to your AI configuration for long-term reuse.

Does capturing design context require any external dependencies or components?

Capturing design context requires no external dependencies or components. It operates as a standalone guided workflow that directly writes your project's design guidelines into the AI configuration file.

Why does my AI assistant forget brand attributes and design goals in new sessions?

Your AI assistant forgets brand attributes because they lack persistent storage. By exporting design context to an AI configuration file, you ensure consistent guidance across all future interactions.

When should I run a design context collection workflow during project setup?

You should run design context collection during initial project setup or onboarding. This captures goals, audience, and constraints early, persisting settings in your AI configuration for consistent future guidance.