teach-impeccable

Collect design context from codebases and persist it to AI configuration.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/Lin-0096/welove --skill teach-impeccable-lin-0096
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: teach-impeccable
Source: https://github.com/Lin-0096/welove/tree/main/.claude/skills/teach-impeccable
Command: npx skills add https://github.com/Lin-0096/welove --skill teach-impeccable-lin-0096

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Gather design context for this project and persist it to the AI configuration to ensure consistent guidelines across sessions.

Core Features & Use Cases

  • Context discovery: Explore codebase for README/docs, branding, and design tokens to inform guidelines.
  • Persistence: Save gathered design context into a persistent AI configuration for future sessions.
  • Use Case: Onboarding a new contributor or team to align design decisions across projects.

Quick Start

Identify project design signals and save them to the AI configuration in one step.

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 for consistent AI guidance across sessions?

To persist design context for consistent AI guidance, the Skill scans your codebase for README files, branding assets, and design tokens, then writes these gathered guidelines directly into a persistent AI configuration file for future use.

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

Establishing design guidelines during project onboarding is done by analyzing your project artifacts and branding assets, then automatically seeding this design context into your AI configuration to maintain alignment across new contributors.

Can I use this to align design decisions across multiple repositories?

You can align design decisions across multiple repositories by applying this context discovery and persistence process during onboarding for each repository, ensuring each AI config maintains the specific project's design guidelines.

How does the AI config file get updated with project design tokens?

The AI config file gets updated with project design tokens by exploring the codebase to identify branding assets and documentation, then writing those extracted design signals into the persistent configuration in one step.

Does this design context discovery require any specific dependencies?

Design context discovery requires no external dependencies, but it needs access to your project artifacts like README files, docs, and branding assets to analyze and write to the persistent AI config file successfully.