Figma Generate Design logo

Figma Generate Design

Organization
memi-design
figma-generate-design

Create new Figma screens and pages using existing components, variables, and design system

Overview

Publishermemi-design
Repositorydesign-skills
Skill namefigma-generate-design
Stars
7
Forks
0
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 memi-design on GitHub. Read the source before you install it.

Installation

Install the Figma Generate Design 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/memi-design/design-skills/tree/main/skills/figma-generate-design
  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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/figma-generate-design .claude/skills/figma-generate-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Generate Design 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 Figma Generate Design 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 Figma Generate Design 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.

/figma-generate-design — Create Designs Using Existing Components

Generate new screens and pages in Figma using your existing components, variables, and design system. Produces structured, spec-compliant layouts with full self-healing validation. Requires /figma-use.

Freedom Level: High

Full creative freedom within the design system. Must use existing components and variables, never raw values.

Prerequisites

  • /figma-use foundational skill loaded
  • Design system pulled (memi pull) or variables exist in file
  • figma_search_components called this session (nodeIds are session-scoped)

Workflow

Step 1: Check Code Connect & Inventory

get_code_connect_map          → what's already mapped code ↔ Figma?
figma_search_components       → what components exist?
figma_get_variables           → what tokens are available?

If Code Connect mappings exist: use those components. Don't recreate.

Step 2: Plan the Layout (Atomic Design)

Map the design to atomic levels:

Page: AuthLogin
├── Template: AuthTemplate (centered, max-w-md)
│   ├── Organism: LoginForm
│   │   ├── Molecule: FormField (email)
│   │   │   ├── Atom: Label
│   │   │   ├── Atom: Input
│   │   │   └── Atom: HelpText
│   │   ├── Molecule: FormField (password)
│   │   ├── Molecule: SocialLogin
│   │   │   ├── Atom: Button (Google)
│   │   │   ├── Atom: Separator
│   │   │   └── Atom: Button (GitHub)
│   │   └── Atom: Button (Submit)
│   └── Organism: Footer

Step 3: Build Bottom-Up

  1. Atoms — instantiate existing or create with use_figma
  2. Molecules — compose atoms with Auto Layout
  3. Organisms — compose molecules with state considerations
  4. Template — page frame with responsive constraints
  5. Page — fill template with real content

Prefer use_figma for design-aware writes. It understands your design system and returns structured output.

Step 4: Apply Design Tokens

All visual properties MUST bind to variables:
  background → colors/surface/primary
  text       → colors/text/primary
  border     → colors/border/default
  spacing    → spacing/4, spacing/8, spacing/16
  radius     → radius/default, radius/lg

Never hardcode. If a token doesn't exist, create it with figma_batch_create_variables first.

Step 5: Self-Healing Validation (MANDATORY)

Run the self-healing loop from /figma-use: CREATE → SCREENSHOT → ANALYZE → FIX → VERIFY (max 3 rounds).

Step 6: Generate Spec & Code

After the design is validated:

memi spec component LoginForm → specs/components/LoginForm.json
memi spec page AuthLogin → specs/pages/AuthLogin.json
memi generate LoginForm → generated/components/LoginForm/
add_code_connect_map → establish Figma ↔ code mapping

Layout Patterns

Dashboard

Frame (VERTICAL, fill)
├── Header (HORIZONTAL, hug height, fill width)
│   ├── Logo + Title
│   └── Actions (avatar, notifications)
├── Content (HORIZONTAL, fill)
│   ├── Sidebar (VERTICAL, fixed 240px, fill height)
│   │   └── NavItems
│   └── Main (VERTICAL, fill)
│       ├── MetricsRow (HORIZONTAL, fill, gap=16)
│       │   └── MetricCard × 4 (fill, equal)
│       ├── ChartsRow (HORIZONTAL, fill, gap=16)
│       │   └── Chart × 2 (fill, equal)
│       └── TableSection (VERTICAL, fill)

Auth Flow

Frame (VERTICAL, centered, max-480px)
├── Logo (centered)
├── Card (VERTICAL, fill width, padding=32)
│   ├── Heading + Subtext
│   ├── Form (VERTICAL, gap=16)
│   │   └── FormField × N
│   ├── Button (fill width)
│   └── Links (HORIZONTAL, centered)

Marketing / Landing

Frame (VERTICAL, fill, gap=0)
├── Nav (HORIZONTAL, fixed, z-index)
├── Hero (VERTICAL, centered, min-h=600)
├── Features (grid 3-col, padding=80)
├── Social Proof (HORIZONTAL, scroll)
├── CTA (VERTICAL, centered, bg=primary)
└── Footer (VERTICAL, padding=40)

Responsive Strategy

BreakpointWidthColumnsBehavior
Mobile375px1Stack vertical, full-width inputs
Tablet768px2Side-by-side where sensible
Desktop1280px3-4Full grid, sidebar visible

Use MIN_WIDTH + MAX_WIDTH on content containers. FILL on flexible elements. FIXED only on sidebar, icons, avatars.

Anti-Patterns

  • Elements using "hug contents" when they should "fill container"
  • Inconsistent padding between similar elements
  • Text/inputs not filling available width
  • Components floating on blank canvas (always use Section/Frame)
  • Raw hex colors instead of variable bindings
  • Fixed widths on elements that should be responsive
  • Skipping the self-healing screenshot loop
  • Using raw Figma execution when use_figma would work better
  • Creating components that already exist in Code Connect

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 Figma Generate Design AI skill do?

Create new Figma screens and pages using existing components, variables, and design system

Why use Figma Generate Design on TypingMind?

Because you install it once and use it with any model. Figma Generate Design 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 Figma Generate Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/figma-generate-design. 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 Figma Generate Design?

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 Figma Generate Design?

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

Is the Figma Generate Design AI skill free?

Yes. It is published on GitHub by memi-design 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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