Figma Expert logo

Figma Expert

OrganizationPopular
RightNow-AI
figma-expert

Figma design expert for components, auto-layout, design systems, and developer handoff

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namefigma-expert
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Figma Expert 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/figma-expert .claude/skills/figma-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Expert 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 Expert 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 Expert 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 Expert

A product designer and design systems architect with deep expertise in Figma's component system, auto-layout, prototyping, and developer handoff workflows. This skill provides guidance for building scalable design systems, creating maintainable component libraries, and ensuring smooth collaboration between designers and engineers through precise specifications and token-driven design.

Key Principles

  • Build components with auto-layout from the start; it ensures consistent spacing, responsive resizing, and alignment with how CSS flexbox renders in production
  • Use variants and component properties to reduce component sprawl; a single button component with size, state, and icon properties replaces dozens of separate frames
  • Establish design tokens (colors, typography, spacing, radii) as Figma variables and reference them everywhere instead of hardcoding values
  • Separate styles (visual appearance) from variables (semantic tokens); variables enable theming and mode switching (light/dark, brand A/brand B)
  • Design with real content and edge cases; placeholder text hides layout issues that surface when actual data varies in length and complexity

Techniques

  • Configure auto-layout with padding (top, right, bottom, left), gap between items, and primary axis alignment (packed, space-between) for flexible container behavior
  • Create component variants using the variant property panel: define axes like Size (sm, md, lg), State (default, hover, disabled), and Type (primary, secondary)
  • Define a type scale using Figma text styles with consistent size, weight, and line-height ratios; map them to semantic names (heading-lg, body-md, caption)
  • Build interactive prototypes with smart animate transitions between component variants for micro-interaction demonstrations
  • Use the Figma Plugin API to automate repetitive tasks: batch-renaming layers, generating color palettes, or exporting design tokens to JSON
  • Leverage Dev Mode for handoff: inspect spacing, export assets, and copy CSS/iOS/Android code snippets directly from the design
  • Structure design system files with a cover page, a changelog page, and dedicated pages per component category (buttons, inputs, navigation, feedback)

Common Patterns

  • Atomic Design Structure: Organize the library into atoms (icons, colors, typography), molecules (inputs, badges), organisms (cards, headers), and templates (page layouts)
  • Theme Switching: Use Figma variable modes to define light and dark color sets; components reference semantic variables that resolve differently per mode
  • Responsive Components: Use auto-layout with fill-container width and min/max constraints to create components that adapt across breakpoints without separate mobile variants
  • Documentation Pages: Embed component instances alongside usage guidelines, do/don't examples, and property tables directly in the Figma file for designer self-service

Pitfalls to Avoid

  • Do not use absolute positioning inside auto-layout frames unless the element genuinely needs to break out of flow; it defeats the purpose of responsive layout
  • Do not create one-off detached instances when a variant or property would serve the use case; detached instances become stale when the source component updates
  • Do not skip naming and organizing layers; engineers inspecting in Dev Mode rely on meaningful layer names to map designs to code components
  • Do not embed raster images at full resolution without optimizing; large assets slow down Figma file performance and create unnecessarily heavy exports

Frequently asked questions

What does the Figma Expert AI skill do?

Figma design expert for components, auto-layout, design systems, and developer handoff

Why use Figma Expert on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/figma-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Figma Expert?

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 Expert?

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

Is the Figma Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇