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Design Systems

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cnfeat
design-systems

Help users build and scale design systems. Use when someone is creating a component library, establishing design tokens, scaling brand consistency, or deciding when to invest in a design system.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namedesign-systems
Stars
55
Forks
6
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cnfeat on GitHub. Read the source before you install it.

Installation

Install the Design Systems AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/design-systems
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Design Systems in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Design Systems on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Design Systems is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Design Systems

Help the user build and scale design systems using frameworks from 4 product leaders who have built design systems at companies like Figma and Airbnb.

How to Help

When the user asks for help with design systems:

  1. Assess the need - Determine if they need consistency, speed, or both, and whether they're at the right stage for a design system
  2. Define the scope - Clarify whether they need a component library, design tokens, documentation, or all three
  3. Design for adoption - Help them make the system easy enough that non-designers can use it correctly
  4. Plan for evolution - Guide them on how to maintain and evolve the system over time

Core Principles

Separate concept from production

Bob Baxley: "Once we locked down on the block frames, we could send it to an agency and they could do the full high-res comps in a day, because they knew exactly what they were doing." Use low-fidelity 'block brain diagrams' to lock down conceptual logic, then apply the design system for rapid high-fidelity output.

Design systems drive enterprise expansion

Claire Butler: "Design systems are one of the main reasons you upgrade from pro to org or enterprise. That became just the key thing we leaned in on." Design systems practitioners are key internal champions for organizational scaling.

Assets should teach their own usage

Jessica Hische: "My goal always when designing a logo is to design a logo that's so easy to use that you don't have to be an extremely skilled designer to design well with it." Design assets that 'teach' the user how to apply them through their inherent structure, prioritizing ease of use over complexity.

Flat design is evolving

Brian Chesky: "I think flat design is over or ending. We're going to move back into a world with color, texture, dimensionality, more haptic feedback." Interface design is shifting from flat aesthetics to more dimensional, tactile, and AI-enhanced experiences.

Questions to Help Users

  • "What's the biggest inconsistency problem you're facing today?"
  • "Who will be using this design system - designers only, or engineers too?"
  • "How will you measure adoption and success of the design system?"
  • "Do you have the resources to maintain and evolve the system over time?"
  • "What's the smallest viable version you could ship first?"

Common Mistakes to Flag

  • Building too early - Creating a design system before you have enough patterns to systematize
  • Over-engineering - Building complex systems that require expert designers to use correctly
  • No ownership - Creating a design system without dedicated resources to maintain it
  • Ignoring adoption - Building a beautiful system that no one actually uses
  • Static systems - Treating the design system as 'done' rather than continuously evolving

Deep Dive

For all 4 insights from 4 guests, see references/guest-insights.md

Related Skills

  • Running Design Reviews

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Design Systems AI skill do?

Help users build and scale design systems. Use when someone is creating a component library, establishing design tokens, scaling brand consistency, or deciding when to invest in a design system.

Why use Design Systems on TypingMind?

Because you install it once and use it with any model. Design Systems is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Design Systems in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/design-systems. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Design Systems?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Design Systems?

As many as you like. As long as a model supports skills, you can use Design Systems with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Design Systems AI skill free?

Yes. It is published on GitHub by cnfeat under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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