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Figma Design Extract

Community
jeltehomminga
figma-design-extract

Extract exact design values from a Figma node into a build-ready spec table, instead of eyeballing a screenshot. Use when the user shares a figma.com node URL, or says "implement this Figma design", "build this component from Figma", "extract the Figma values", or "match the Figma". This is design-to-code only - to push code into Figma, use figma-generate-design instead.

Overview

Publisherjeltehomminga
Repositoryfigma-design-skills
Skill namefigma-design-extract
Stars
5
Forks
1
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

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

Use it in TypingMind

Enable Figma Design Extract 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 Design Extract 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 Design Extract 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 Design Extract — get the real design out of Figma

Read a Figma node into a design-spec table of exact values mapped to your codebase, before writing any component code. The table is both your build contract and the input to the companion design-fidelity-verify skill, which proves the running app matches it.

This skill is the design→code direction (read Figma, produce a spec). It is not a code→Figma generator — that's Figma's own figma-generate-design skill.

Why this exists (the failure mode it fixes)

Screenshot-as-truth. A model reads a Figma screenshot as "button, top-right" but cannot see that the radius is 8 not 12, the weight is 500 not 600, or the gap is 12 not 8. A screenshot is a visual reference only. Exact values come from Figma's structured data — variables and metadata — not from pixels. The bar is fidelity to the design's decisions — the right token — not literal pixel coordinates. Skip this and the design drifts the moment you start typing.

When to use

Trigger phrases: "implement this Figma screen/component", "build this design", "extract the Figma values", "get the tokens/spacing/colors from Figma", "match the Figma", or a figma.com/design/...node-id=... URL shared to build from.

Scope: any frontend repo (web or mobile). Backend/API repos have no UI to build.

Prerequisite: the Figma MCP server (Dev Mode MCP) connected, so get_variable_defs, get_metadata, get_design_context, and get_screenshot are available.


The extraction workflow

0. Resolve the node (don't trust stale IDs)

Get the node from the URL the designer shared, or from your issue tracker / design handoff. The node id is the node-id=NNNN-MMMM part of a Figma URL (the - becomes : in API calls, e.g. 1234:5678).

  • Node ids go stale between handoff and build. Try the given id with get_design_context first; if it returns "node not found", search by a stable numeric prefix rather than the frame name (names get renamed and double-spaced).
  • Dark mode often lives on a mirror page with identical frame names — look on the sibling page, don't search globally.
  • Keep every call node-scoped. get_metadata on a 40-frame section blows the token budget. Always pass the specific node id.

1. Structure — get_design_context(nodeId)

Use it for structure only: auto-layout → flex direction / gap, hierarchy, where component boundaries are. Do not copy its absolute pixel positions or inlined values — treat those as hints and confirm them against variables/metadata.

  • Code Connect is on by default in get_design_context. Choose by your setup:
    • You have Code Connect mapped → keep it on. It returns exact import paths and is the single best component-reuse signal — don't disable it. get_code_connect_map lists the mappings for a file if you want them up front.
    • You don't use Code Connect (most setups) → the response may nag "components missing Code Connect — map them?". Pass disableCodeConnect: true to skip that noise and get the generated structure directly. A reasonable default when no mappings exist; don't stop to set Code Connect up mid-task.
  • Treat the returned code as a representation of design and behavior, not final code style — adapt it to your conventions (Figma's own guidance).

2. Exact styles — get_variable_defs(nodeId) ← the source of truth

This answers "are we even getting the real styles?". It returns the exact color / spacing / radius / typography tokens bound in the selection. For every value:

  • Map the Figma variable to a token in your own design system — never hardcode the raw value. Resolve var(--primary/500) to whatever your repo calls it. See references/stack-mapping.md when filling the repo-token column.
  • letterSpacing is a percent, not px. Figma reports -2 to mean -0.02em; the rendered value is px-per-font-size (24px → -0.48, 18px → -0.36, 16px → -0.32). Convert %→em→px before any comparison. Read literally, this is the single most likely silent false-PASS in the whole pipeline.
  • If a value has no bound variable, that's a design smell. Flag it for the designer. For an unbound size or position, read the number from get_metadata (step 3); for an unbound fill — a gradient, a one-off color — get_metadata will not give it to you, see step 5.
  • Log token drift. If a bound token's value in your repo differs from Figma's variable value, append a row to a drift log of your choice (e.g. docs/design-drift.md) and keep using the token name — never hardcode the Figma value to "fix" it. The token package is corrected separately.

get_variable_defs only returns variables bound in this node. It is not a design-system inventory. To discover what tokens exist across linked and published libraries — before concluding "there is no token for this" — call get_libraries(fileKey) to list them, then search_design_system({ query, fileKey, includeVariables: true, includeLibraryKeys }).

3. Sizes + truncation fallback — get_metadata(nodeId) (scoped)

Two uses: exact sizes/positions not covered by a variable (fixed dimensions, one-off gaps, icon box sizes), and a fallback when get_design_context is truncated — the response is capped, so on a large node take the node map from get_metadata, then re-fetch only the child node(s) you need. Keep it node-scoped.

4. Visual reference — get_screenshot(nodeId)

Composition, states, iconography, what-goes-where. Never measure from it. It exists to catch "you built the wrong thing", not "you built it 4px off".

5. Unbound values (gradients, complex fills)

get_variable_defs only returns values bound to a variable. Anything unbound — many gradients, one-off fills — won't appear there, and get_metadata won't resolve it either. For those, read node.fills via the Figma Plugin API (use_figma) for the authoritative stops/values, and flag the missing binding as a design smell.

use_figma is a write-capable tool. Load Figma's /figma-use skill before calling it — the Figma MCP server declares that a mandatory prerequisite. Here you only ever read (node.fills); never mutate the designer's file from an extraction pass.

6. Component reuse — audit before you scaffold

Map each Figma component to an existing primitive in your repo before building anything new:

  • Grep your components directory for a primitive that already does this — a variant beats a fork.
  • Note where reuse wasn't possible and why.
  • If your org has Code Connect set up, get_design_context (or get_code_connect_map) returns exact import paths automatically; if not, map manually and treat Code Connect as a future automation, not a blocker.

Output: the design-spec table

One row per element×property. This is the deliverable — keep it in your working notes; it drives both implementation and verification.

element          | property      | Figma exact value      | repo token / class        | source component
-----------------+---------------+------------------------+---------------------------+------------------
Card container   | bg            | var(--surface/0)       | <your white-surface token>| <Card>
Card container   | radius        | 12                     | <your rounded-lg token>   | <Card>
Card container   | padding       | 16                     | <your space-4 token>      | <Card>
Title            | font/size/wt  | Heading/M 18 / 600     | <your title-m token>      | <Text>
Row gap          | gap           | 8                      | <your space-2 token>      | (auto-layout)
CTA              | bg            | var(--primary/500)     | <your primary-500 token>  | <Button primary>
CTA              | radius        | 8                      | <your rounded-md token>   | <Button>

Fill the repo token / class column with your system's names. Every cell on the right is a token reference, not a hardcoded literal. If your repo has no token system at all, that's the real finding — surface it; don't invent ad-hoc values.

Reference files, loaded on demand:

  • references/stack-mapping.md — read it when filling the repo-token column, for how a Figma variable lands in Tailwind/NativeWind, a Restyle theme, CSS custom properties, or a color-only prop.
  • references/assets-and-gate.md — read it when the node contains icons or illustrations to export, or when you're ready to enforce "no raw values" on the diff.
  • examples/worked-example.md — a full pass over one real card, call by call, ending in a filled spec table.

Guardrails

  • Never write a hardcoded color/spacing/radius/font value that has a bound Figma variable — map it to a token.
  • Never measure from a screenshot. Structured values only.
  • Keep every Figma call node-scoped to control token cost.
  • An unbound value is a design smell — flag it, don't silently bake in the raw number.
  • Convert letterSpacing from percent before comparing it to anything.
  • Log Figma↔token drift instead of hardcoding the Figma value; fixing the token package is a separate task.

Hand-off

The spec table is the input to design-fidelity-verify: build the component from the table, then run that skill to prove — by measuring rendered values, not by glancing — that the running app matches every row.

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 Design Extract AI skill do?

Extract exact design values from a Figma node into a build-ready spec table, instead of eyeballing a screenshot. Use when the user shares a figma.com node URL, or says "implement this Figma design", "build this component from Figma", "extract the Figma values", or "match the Figma". This is design-to-code only - to push code into Figma, use figma-generate-design instead.

Why use Figma Design Extract on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeltehomminga/figma-design-skills/tree/main/skills/figma-design-extract. 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 Design Extract?

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 Design Extract?

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

Is the Figma Design Extract AI skill free?

Yes. It is published on GitHub by jeltehomminga 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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