Frontend Designer logo

Frontend Designer

Community
kozz36
frontend-designer

Trigger: frontend design, CSS architecture, tokens, responsive UI, accessibility, motion. Produce production UI design systems.

Overview

Publisherkozz36
Repositoryfrontend-designer-skill
Skill namefrontend-designer
Stars
8
Forks
1
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

    Published by kozz36 on GitHub. Read the source before you install it.

Installation

Install the Frontend Designer 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/kozz36/frontend-designer-skill/tree/main/skills/frontend-designer
  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/kozz36/frontend-designer-skill.git /tmp/frontend-designer-skill
mkdir -p .claude/skills
cp -r /tmp/frontend-designer-skill/skills/frontend-designer .claude/skills/frontend-designer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Designer 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 Frontend Designer 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 Frontend Designer 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.

Activation Contract

Use this skill for frontend design-system decisions when an agent must choose, review, or document production-ready technical direction.

  • Designing or reviewing UI systems, component anatomy, tokens, layout, or visual interaction.
  • Choosing CSS architecture, responsive behavior, accessibility constraints, or motion rules.
  • Converting a repository's visual direction into implementation-ready frontend guidance.

Do not use this skill for generic explanation, copy editing, or one-off code changes that do not affect architecture or reusable implementation patterns.

Hard Rules

  • Preserve the repository's token and component-state contracts; do not hardcode isolated visual decisions.
  • Use semantic HTML and native controls before ARIA substitutes. Define keyboard behavior, visible focus, measurable contrast, and reduced-motion behavior for interactive UI.
  • Keep responsive components reusable, reserve layout space for media and fonts, and avoid performance regressions without evidence that the tradeoff is acceptable.
  • Keep the main answer decision-first; move deep rationale to local references instead of long inline prose.
  • Verify new version, browser, API, legal, or adoption claims before adding them to changelogs or decision guidance.

Decision Gates

Evidence to inspectDecision
Repository-native CSS architecture, naming, linting, build pipeline, and team conventionsPreserve the established paradigm. Introduce layers, CSS Modules, CSS-in-JS, utilities, or a naming convention only when the repository supports it and migration cost is accepted.
Existing Design.md, design.md, design-token source, or approved design toolTreat it as the source of visual truth when present. Do not require a particular filename, generate a handoff file, or assume an external design tool.
Supported browser matrix and fallback policyGate container queries, nesting, :has(), light-dark(), scroll-driven animation, and other platform features on that matrix; define a fallback when required.
Approved token contract plus browser/build supportWhen the contract selects OKLCH, keep newly specified tokens OKLCH-only. Do not force a legacy color-format migration without an approved cost and compatibility plan.
Product theme requirements and design sourceUse dark-mode-first only when the product and source require it; otherwise preserve the existing theme strategy and semantic token behavior.
Component reuse, page topology, content, and viewport requirementsPrefer container queries for reusable components when supported; use viewport media queries, mobile-first, desktop-first, or composition when they fit the repository and product.
Accessibility scope and measurable acceptance criteriaPreserve semantic HTML, keyboard access, focus visibility, contrast measurement, touch-target requirements, and reduced-motion behavior. Apply jurisdiction-specific requirements only when the product scope establishes them.
Performance evidence, budgets, and delivery pathUse containment, content-visibility, image formats, font loading, and animation techniques only when compatible with the browser matrix and supported by measured or stated performance goals.
Installed repository tooling and approved execution environmentRun a repository-native validation command when available. Do not prescribe npx, a browser audit, encoding, or design-tool command when the dependency, target, permission, or evidence is unavailable.

Execution Steps

  1. Identify the repository architecture, design source, browser matrix, accessibility scope, performance evidence, team conventions, tooling availability, and migration cost.
  2. Define or preserve token, state, semantic HTML, focus, contrast, and reduced-motion contracts before choosing visual novelty.
  3. Select the smallest compatible CSS, layout, component, theme, and motion approach; record needed fallbacks and rejected alternatives.
  4. Read references/technical-reference.md only when detailed decision matrices, examples, safeguards, or command prerequisites are needed.
  5. State the chosen pattern, evidence, runtime risks, fallback or migration plan, and validation path. Add changelog claims only when verified.

Output Contract

Return:

  • Recommended decision, repository evidence, and why it fits.
  • Alternatives rejected with concrete tradeoffs, including migration cost where relevant.
  • Accessibility, browser, performance, and runtime risks with mitigations or fallbacks.
  • Validation steps that are available in the repository, or the evidence still needed before adoption.

References

  • references/technical-reference.md — curated technical basis and conditional decision guidance for v3.0.1.
  • references/source-index.md — source pointers and verification rules for version-sensitive claims.

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 Frontend Designer AI skill do?

Trigger: frontend design, CSS architecture, tokens, responsive UI, accessibility, motion. Produce production UI design systems.

Why use Frontend Designer on TypingMind?

Because you install it once and use it with any model. Frontend Designer 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 Frontend Designer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kozz36/frontend-designer-skill/tree/main/skills/frontend-designer. 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 Frontend Designer?

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 Frontend Designer?

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

Is the Frontend Designer AI skill free?

Yes. It is published on GitHub by kozz36 under the Apache-2.0 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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