Figma Swiftui logo

Figma Swiftui

CommunityPopular
Devin-AXIS
figma-swiftui

SwiftUI ↔ Figma translation. Use whenever the user mentions Swift, SwiftUI, iOS, iPhone, or iPad — in EITHER direction — translating a Figma design into SwiftUI (design → code), or pushing SwiftUI views / screens / tokens back into a Figma file (code → design). Triggers on phrases like 'implement this Figma design in SwiftUI', 'build this screen in Swift', 'push this SwiftUI view to Figma', 'mirror my Swift code in a Figma file', or whenever a Figma URL appears alongside `.swift` files / an `.xcodeproj`. Routes to a direction-specific reference doc; loads alongside `figma-use` for the code → design path.

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill namefigma-swiftui
Stars
6.3K
Forks
1.2K
Bundled files
2
Links
Skill sourceRepositoryHomepage
  • 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 Devin-AXIS on GitHub. Read the source before you install it.

Installation

Install the Figma Swiftui 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/Devin-AXIS/iPolloWork.git /tmp/iPolloWork
mkdir -p .claude/skills
cp -r /tmp/iPolloWork/examples/plugin-packages/figma/skills/figma-swiftui .claude/skills/figma-swiftui
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma Swiftui 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 Swiftui 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 Swiftui 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 ↔ SwiftUI

Translation between Figma designs and SwiftUI code, both directions. This file is a router — actual guidance lives in the references below.

Pick the direction

DirectionTriggerReference
Design → codeUser wants SwiftUI in their iOS project from a Figma file/framereferences/design-to-code.md
Code → designUser wants to push SwiftUI views / screens / tokens into a Figma filereferences/code-to-design.md

If the request is ambiguous — a Figma URL and .swift files both present, no verb makes it clear — ask the user which direction before loading a reference.

Shared context (applies to both directions)

These points hold regardless of direction; the direction-specific references assume them.

  1. get_design_context is the read tool for Figma. Pass clientLanguages: "swift" and clientFrameworks: "swiftui" so the response is framed as Swift. URL → tool args: figma.com/design/:fileKey/:fileName?node-id=:nodeId → use fileKey, replace - with : in nodeId. For figma.com/design/:fileKey/branch/:branchKey/:fileName, use branchKey as fileKey.
  2. The React+Tailwind in get_design_context output is a structural reference, not a literal source. It approximates the visual. Never transliterate position: absolute / pixel frames / mix-blend-mode stacks into SwiftUI or into Figma — the screenshot is the source of truth in both directions.
  3. iOS HIG semantic colors are tokens, not hex. var(--backgrounds/primary, …), var(--labels/secondary, …), var(--separators/non-opaque, …) etc. map to Color(.systemBackground), Color.secondary, Color(.separator) in SwiftUI, and to variables in a semantic collection in Figma. Keep the mapping; drop the literal RGBA.
  4. SF Symbols round-trip by name in both directions — never by codepoint. Design → code: get_design_context substitutes Figma's SF Symbol glyph runs back into <SFSymbol>{Image(systemName: "...")}</SFSymbol> wrappers in the response. Use those names verbatim. Code → design: call figma.util.getSfSymbolCharacter(name) inside use_figma to convert a symbol name to the matching character — never look up codepoints by hand.
  5. Recognize the underlying iOS pattern, not the literal node / view name. The same patterns recur in both directions: large title + back chevron + trailing action = NavigationStack chrome; bottom row of icon+label pairs = TabView; repeating same-height rows with leading/trailing chrome = List. Match those system patterns rather than rebuilding them from primitives.
  6. For code → design, use_figma is the API. Always load figma-use before any use_figma call. If the task involves building a full screen, also load figma-generate-design; if it involves building components or a design system, also load figma-generate-library.

References

DocWhen to load
references/design-to-code.mdTranslating a Figma design / frame into SwiftUI
references/code-to-design.mdPushing SwiftUI views / screens / tokens into Figma

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 Swiftui AI skill do?

SwiftUI ↔ Figma translation. Use whenever the user mentions Swift, SwiftUI, iOS, iPhone, or iPad — in EITHER direction — translating a Figma design into SwiftUI (design → code), or pushing SwiftUI views / screens / tokens back into a Figma file (code → design). Triggers on phrases like 'implement this Figma design in SwiftUI', 'build this screen in Swift', 'push this SwiftUI view to Figma', 'mirror my Swift code in a Figma file', or whenever a Figma URL appears alongside `.swift` files / an `.xcodeproj`. Routes to a direction-specific reference doc; loads alongside `figma-use` for the code...

Why use Figma Swiftui on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Devin-AXIS/iPolloWork/tree/main/examples/plugin-packages/figma/skills/figma-swiftui. 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 Swiftui?

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 Swiftui?

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

Is the Figma Swiftui AI skill free?

It is published on GitHub by Devin-AXIS. Check the repository for licensing terms. 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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