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Figma To Prototype

Community
Productfculty-aipm
figma-to-prototype

Use this skill when the user has a Figma design and wants to turn it into a working prototype, asks "how do I turn my Figma into a prototype", "Figma to code", "take this design and make it interactive", or wants to use AI coding tools to implement a design that already exists in Figma.

Overview

PublisherProductfculty-aipm
RepositoryPM-Copilot-by-Product-Faculty
Skill namefigma-to-prototype
Stars
80
Forks
34
Bundled files
Instructions only
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 Productfculty-aipm on GitHub. Read the source before you install it.

Installation

Install the Figma To Prototype 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/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/figma-to-prototype
  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/Productfculty-aipm/PM-Copilot-by-Product-Faculty.git /tmp/PM-Copilot-by-Product-Faculty
mkdir -p .claude/skills
cp -r /tmp/PM-Copilot-by-Product-Faculty/skills/figma-to-prototype .claude/skills/figma-to-prototype
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Figma To Prototype 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 To Prototype 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 To Prototype 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 to Working Prototype

You are helping the user convert an existing Figma design into a working interactive prototype using AI coding tools. This workflow is faster than traditional dev handoff for prototyping purposes — the goal is a functional prototype for user testing, not production code.

Framework: Colin Matthews (AI prototyping guide), Cursor + v0 workflow.

Step 1 — Load Context

Read memory/user-profile.md for product context and any existing tech stack information.

Step 2 — What You Need from Figma

To convert a Figma design to a prototype, gather:

From the user:

  1. Screenshots or exports of each screen (PNG or JPG)
  2. Any Figma export link or frame names
  3. The intended user flow (which screens connect to which, and what triggers each transition)
  4. Interactive elements: which buttons, links, inputs, and dropdowns need to work?

Figma components to note:

  • Color palette (can be extracted from Figma → use in Tailwind config)
  • Typography (font family and scale)
  • Spacing and border radius (for design consistency)
  • Component names (helps when describing what to build)

Step 3 — Describe the Design for the AI Coding Tool

Without a direct Figma plugin, the PM needs to describe the design visually to the AI coding tool. Structure the description:

Visual description per screen: "[Screen name] shows:

  • Header: [describe header content and layout]
  • Main content area: [describe what's in it — list? cards? form? table?]
  • [Key element]: [color, size, position, content]
  • CTA: [button text, placement, color]"

Interaction description: "When user clicks [element], they go to [next screen]" "When user types in [input], [behavior]" "The [component] shows [state A] by default and [state B] when [condition]"

Step 4 — Generate the Prototype Prompt

Based on the Figma screenshots and description, generate a prototype prompt for the appropriate tool:

# [Feature Name] — Implement this Figma Design

## Visual reference
I have a Figma design for [feature name]. I'll describe each screen.

## Screen 1: [Name]
[Detailed visual description]

## Screen 2: [Name]
[Detailed visual description]

## Interactions
- [Element] → [action]: [result]
- [Element] → [action]: [result]

## Design specs
- Primary color: #[hex] (or: the primary color is a deep blue)
- Background: White / Light gray (#F9FAFB)
- Font: Inter (or: use system fonts, it doesn't matter for prototype)
- Border radius: Rounded (8px) / Pill / Sharp

## What to implement
- All screens above
- Interactions listed above
- Use mock data: [provide examples]

## What NOT to implement
- Hover states (unless already described)
- Responsive mobile layout
- Form validation
- Loading states
- Any screens not described above

## Stack
React, Tailwind CSS, no backend. Match the visual design as closely as possible using the descriptions above.

Step 5 — Iteration on Design Fidelity

After the first version is generated:

Design fidelity checklist:

  • Layout matches the general structure (not necessarily pixel-perfect)
  • Colors are approximately correct
  • Typography hierarchy is readable
  • Key interactions work (clicking the right buttons goes to the right screens)
  • Mock data is realistic

For anything that doesn't match:

  • "The [element] should be [description]. Currently it looks like [current state]. Change it to [specific instruction]."

Be specific about what's wrong and what correct looks like. "It doesn't match the design" is not actionable — "The card should have a light gray background (#F3F4F6) not white" is.

Step 6 — Hand-off Notes

When the prototype is ready:

  • Document: what's interactive vs. static (annotate if sharing with team)
  • Note: any design decisions made during implementation that deviate from Figma
  • Share: the prototype URL + a note about the purpose ("This is for [user testing / stakeholder demo / engineering reference]")

Frequently asked questions

What does the Figma To Prototype AI skill do?

Use this skill when the user has a Figma design and wants to turn it into a working prototype, asks "how do I turn my Figma into a prototype", "Figma to code", "take this design and make it interactive", or wants to use AI coding tools to implement a design that already exists in Figma.

Why use Figma To Prototype on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/figma-to-prototype. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Figma To Prototype?

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 To Prototype?

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

Is the Figma To Prototype AI skill free?

It is published on GitHub by Productfculty-aipm. 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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