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Design Taste Frontend

Community
JasonxzWen
design-taste-frontend

Load when a task needs anti-template frontend visual direction, design-read calibration, or pre-flight critique for landing pages, portfolios, marketing pages, or redesigns; do not load for dashboards, data tables, multi-step product UI, routine frontend logic, HTML reports, slide decks, or generic code explanation.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill namedesign-taste-frontend
Stars
71
Forks
0
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Design Taste Frontend 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.
  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/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/design-taste-frontend .claude/skills/design-taste-frontend
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Taste Frontend 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 Taste Frontend 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 Taste Frontend 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 Taste Frontend

Use this skill as a frontend taste layer, not as the whole frontend implementation lane. It helps set a deliberate visual direction for landing pages, portfolios, marketing pages, and redesigns so the result does not look templated.

Do not use it for dashboards, dense data tables, multi-step product UI, routine React/Next logic, HTML reports, decks, or code explanation. Existing product experience review routes to product-ui-review; authorized implementation routes to frontend-design. Other work routes to frontend-patterns, web-artifacts-builder, effective-interact, or frontend-slides.

Core Workflow

  1. Read the brief before choosing aesthetics. Identify page kind, audience, brand assets, references, constraints, and explicit vibe words.
  2. State one design read before code: Reading this as: <page kind> for <audience>, with a <vibe> language, leaning toward <system or aesthetic family>.
  3. If two plausible directions conflict, ask exactly one clarifying question. If the brief is clear enough, proceed.
  4. Set three working dials: DESIGN_VARIANCE, MOTION_INTENSITY, and VISUAL_DENSITY. Let the brief override the default.
  5. Choose a real foundation. If the brief maps to an official design system, use the official package and tokens. If it is an aesthetic rather than a system, say so and build honestly.
  6. Design against AI tells: no AI-purple default, dark mesh hero, three equal feature cards, generic glassmorphism, or Inter/slate sameness unless the source material demands it.
  7. Verify spacing, typography, responsiveness, media strategy, hover/focus states, reduced motion, and layout stability before handoff.

References

Handoff Boundary

When handing off a design or implementation, state:

  • the design read;
  • the chosen dials;
  • the foundation or system used;
  • what was intentionally preserved or avoided;
  • any unresolved visual, accessibility, or performance risks.

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 Taste Frontend AI skill do?

Load when a task needs anti-template frontend visual direction, design-read calibration, or pre-flight critique for landing pages, portfolios, marketing pages, or redesigns; do not load for dashboards, data tables, multi-step product UI, routine frontend logic, HTML reports, slide decks, or generic code explanation.

Why use Design Taste Frontend on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/design-taste-frontend. 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 Taste Frontend?

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 Taste Frontend?

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

Is the Design Taste Frontend AI skill free?

Yes. It is published on GitHub by JasonxzWen 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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