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Design Systems

Community
nahid-sparktales
design-systems

Build UI inside an existing design system — find its tokens and components, reuse before adding, decide between extending a component and introducing a new one, and preserve conventions you did not set. Use when a project already has design tokens, a component library, a theme or a shared Figma library and you are about to add or change UI inside it. Not for establishing a visual direction where no system exists, and not for reviewing an interface's usability.

Overview

Publishernahid-sparktales
Repositoryagent-dispatcher
Skill namedesign-systems
Stars
58
Forks
5
Bundled files
1
LicenseMIT
Links
  • 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 nahid-sparktales 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/nahid-sparktales/agent-dispatcher/tree/main/skills/design/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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nahid-sparktales/agent-dispatcher.git /tmp/agent-dispatcher
mkdir -p .claude/skills
cp -r /tmp/agent-dispatcher/skills/design/design-systems .claude/skills/design-systems
Restart Claude Code after copying so it picks up the new skill.

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.

Working inside a design system

A system's value is that everything in it agrees. The expensive mistakes are not ugly components — they are the private token, the one-off override and the sixth button variant, each individually reasonable, which together turn a system back into a pile of CSS.

When this fires

The project already has tokens, a component library, a theme or a shared library, and you are adding or changing UI inside it. It does not fire when there is no system and the decisions are yours — that is frontend-design.

Procedure

  1. Find the system before writing anything. Locate the token source, the component directory, its documentation, and two or three real usage sites. Say where each lives. If the system is a third-party library, read its current documentation rather than recalling its API — versions move and a guessed prop is a silent fork.

  2. Read the conventions you did not set: token naming and whether tokens are primitive or semantic, how variants are expressed (props, classes, compound components), how theming and dark mode resolve, file and export layout, and what the existing components already handle that you were about to reimplement.

  3. Take the highest rung that holds, in this order:

    1. An existing component, as it is.
    2. An existing component with an existing variant or prop.
    3. Existing primitives composed together.
    4. An existing component extended with a new variant.
    5. A new component in the system.
    6. A local one-off, explicitly marked as not part of the system.

    Most work stops at rung 1 or 2. Reaching rung 5 for a single screen is almost always rung 3 misread.

  4. Extend when the need is the same concept under a new condition and the component's API stays coherent afterwards — a new size, a new tone of the same control. Add when it is genuinely a different concept and at least two or three real, existing uses want it. One speculative use is not a system component; build it locally and promote it when the second use arrives.

  5. Never hardcode a value a token covers. If no token covers what you need, that gap is the finding: report it and choose the nearest token, or ask. Inventing a private token beside the system is how the system stops being one.

  6. Treat a shared component as every screen that uses it. Before changing one, list its call sites. Changing a default, renaming or removing a prop, or altering a token's value is a change to all of them — stop and ask before doing it, and name the consumers in the question.

  7. Follow the convention even where you disagree. Say your disagreement once, in the report, and then match what is there. A locally better choice that breaks the pattern costs more than it gains.

  8. Render what you built inside the real system, not in isolation: every theme the system ships, both a small and a large viewport, and the component's own states. Token and variant changes are invisible in a diff and show up only on screen.

  9. Document the addition where the system documents things — the same place, the same shape, with a usage example and the case it is not for. An undocumented component is one somebody reimplements next quarter.

Checklist

  • Token source, component directory and real usage sites located and named
  • Existing components checked before anything new was written
  • The chosen rung is named, and why the one above it did not hold
  • No raw value used where a token exists; every gap reported rather than patched privately
  • Call sites listed before any shared component or token was touched
  • Shared-surface changes were asked about, not assumed
  • Rendered in every theme and at two viewports
  • New or extended components documented where the system documents things

Failure handling

  • No system is findable — say so before proceeding. Do not invent one mid-task; either the work is frontend-design, or the system exists somewhere you have not looked yet. Ask.
  • The system contradicts itself — two patterns for the same thing. Follow the one in newer or more numerous use, say which you followed and that the conflict exists. Do not resolve it by adding a third.
  • The design calls for something the system cannot express. Report the gap with the specific case. Do not override the system to fake it; an override is invisible to the next reader and survives longer than the reason for it.
  • A token change looks right on your screen. It is not verified until rendered in each theme — a value that reads well on light can fail contrast on dark.
  • The system is owned by another team. Proposing a change to it is outward-facing work: prepare it, stop, and let the user take it to them.

Evidence to report

Where the system lives — token file, component path, documentation. Which rung you took and what ruled out the one above. Every token and component reused, by name. Any gap found. For a shared change: the call sites, and the approval you were given. Screenshots per theme and viewport. State plainly what was reused versus created, and whether the result was rendered or only built — composed from system parts is not the same as seen working.

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?

Build UI inside an existing design system — find its tokens and components, reuse before adding, decide between extending a component and introducing a new one, and preserve conventions you did not set. Use when a project already has design tokens, a component library, a theme or a shared Figma library and you are about to add or change UI inside it. Not for establishing a visual direction where no system exists, and not for reviewing an interface's usability.

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/nahid-sparktales/agent-dispatcher/tree/main/skills/design/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 nahid-sparktales 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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