Design First Ui Prompting logo

Design First Ui Prompting

CommunityPopular
MengTo
design-first-ui-prompting

Use when you need design-first, spec-driven, skimmable prompts for UI generation. Covers prompt structure, constraints, variations, typography/spacing rules, and iteration workflow for consistent UI outputs.

Overview

PublisherMengTo
RepositorySkills
Skill namedesign-first-ui-prompting
Stars
6.1K
Forks
717
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Design First Ui Prompting 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/MengTo/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/agent-skills/ui/design-first-ui-prompting .claude/skills/design-first-ui-prompting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design First Ui Prompting 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 First Ui Prompting 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 First Ui Prompting 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-First UI Prompting Skill

This skill is for design-first prompting: turn fuzzy ideas into a tight spec that produces consistent UI.

Core principle

Prompt like a design system, not a wish.

Prompt Structure (copy/paste)

Use this skeleton, then fill the blanks.

text
GOAL
- What are we making? (e.g., landing page hero / onboarding / dashboard / carousel slide)
- Who is it for? (persona)
- What’s the success criteria? (clarity, conversion, vibe)

FORMAT
- Size/aspect: (e.g., 1080x1350)
- Safe margins: (e.g., 90px)

LAYOUT (wireframe in words)
- Grid: (e.g., Swiss 6-col)
- Placement: (e.g., type-left / image-right)
- Hierarchy: H1 → subhead → body → CTA

TYPE SYSTEM
- Font vibe: (e.g., Söhne / Neue Haas / SF Pro)
- Weights: (H1 700, body 400)
- Leading: (tight for H1, readable for body)
- Tracking: (micro labels wider)

COLOR + MATERIAL
- Background: (hex or description)
- Text: (white/ivory/charcoal)
- One accent only: (cyan/lime/purple)
- Texture: (subtle grain, no plastic HDR)

IMAGERY / UI STYLE
- UI style: (minimal / glass / editorial / playful 3D)
- If photo: lighting + crop + texture rules
- If 3D: materials + lighting + softness

COPY (render EXACTLY)
- Line 1:
- Line 2:
- ...

CONSTRAINTS (change 1–2 things only)
- FONT: ___
- STYLE: ___
- MODE: ___

NEGATIVE PROMPT
- No logos, no watermarks
- No extra text beyond provided lines
- No gibberish typography

Rules that improve consistency

1) Lock one “system”, then iterate with variants

  • First output: nail layout + hierarchy + copy.
  • Variants: change ONE variable at a time:
    • angle / crop
    • accent color
    • card arrangement
    • background tone

2) Treat typography as fragile

If the model keeps misspelling:

  • Use 2-pass workflow:
    1. Generate without text (reserve a clean text-safe area)
    2. Typeset in Figma

3) Use “constraints cards”

When you want the model to obey a style:

  • Add a small “Constraints” panel with explicit values.
  • It anchors the output like a mini style guide.

Example:

text
Constraints
FONT  CANELA
STYLE  MINIMAL
MODE  DARK

4) Keep a local reference pack

Don’t ask the model to “remember” taste.

  • Save references into a gitignored local reference folder, such as refs/...
  • Point prompts to the reference style

Fast iteration checklist (what to tweak)

  • Spacing: margins, leading, baseline rhythm
  • Contrast: background vs text
  • Hierarchy: one hero line, one support line
  • One accent only (don’t rainbow)
  • Texture: add grain, remove smoothing

Questions to ask (when user is vague)

  • What’s the single message of this screen?
  • What’s the hierarchy (H1 / sub / CTA)?
  • Which style lane: minimal editorial vs playful 3D vs glass UI?
  • Any must-keep constraints (font vibe, color, spacing, grid)?

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 First Ui Prompting AI skill do?

Use when you need design-first, spec-driven, skimmable prompts for UI generation. Covers prompt structure, constraints, variations, typography/spacing rules, and iteration workflow for consistent UI outputs.

Why use Design First Ui Prompting on TypingMind?

Because you install it once and use it with any model. Design First Ui Prompting 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 First Ui Prompting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MengTo/Skills/tree/main/agent-skills/ui/design-first-ui-prompting. 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 First Ui Prompting?

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 First Ui Prompting?

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

Is the Design First Ui Prompting AI skill free?

Yes. It is published on GitHub by MengTo 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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