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figma-implement-design

skill · openai/skillsLicence not declaredAudited 31 Oct 2026 · source 21ca169598cf

★ 28,423pushed 2 days ago
✓SAFEGrade B · 89/100 · 31 Oct 2026 · 21ca169
28,423repo stars · whole openai/skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 21ca169598cf and found no filesystem, network or shell access and no hard-coded secrets. What it does: Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component",…

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ModelsAtlas. “figma-implement-design (openai/skills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/openai/figma-implement-design

2 skills are called “figma-implement-design”. You are viewing openai/skills.

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 21ca169598cf · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisheropenai GitHub organizationOwner of the repository this skill is read from
  • Source folderopenai/skills/skills/.curated/figma-implement-designThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict21ca169598cfA new audit runs when the source changes
  • Repository statusNot archivedLast push 2 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component",…

---
name: figma-implement-design
description: Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.
---

# Implement Design

## Overview

This skill provides a structured workflow for translating Figma designs into production-ready code with pixel-perfect accuracy. It ensures consistent integration with the Figma MCP server, proper use of design tokens, and 1:1 visual parity with designs.

## Skill Boundaries

- Use this skill when the deliverable is code in the user's repository.
- If the user asks to create/edit/delete nodes inside Figma itself, switch to [figma-use](../figma-use/SKILL.md).
- If the user asks to build or update a full-page screen in Figma from code or a description, switch to [figma-generate-design](../figma-generate-design/SKILL.md).
- If the user asks only for Code Connect mappings, switch to [figma-code-connect-components](../figma-code-connect-components/SKILL.md).
- If the user asks to author reusable agent rules (`CLAUDE.md`/`AGENTS.md`), switch to [figma-create-design-system-rules](../figma-create-design-system-rules/SKILL.md).

## Prerequisites

- Figma MCP server must be connected and accessible
- User must provide a Figma URL in the format: `https://figma.com/design/:fileKey/:fileName?node-id=1-2`
  - `:fileKey` is the file key
  - `1-2` is the node ID (the specific component or frame to implement)
- **OR** when using `figma-desktop` MCP: User can select a node directly in the Figma desktop app (no URL required)
- Project should have an established design system or component library (preferred)

## Required Workflow

**Follow these steps in order. Do not skip steps.**

### Step 1: Get Node ID

#### Option A: Parse from Figma URL

When the user provides a Figma URL, extract the file key and node ID to pass as arguments to MCP tools.

**URL format:** `https://figma.com/design/:fileKey/:fileName?node-id=1-2`

**Extract:**

- **File key:** `:fileKey` (the segment after `/design/`)
- **Node ID:** `1-2` (the value of the `node-id` query parameter)

**Note:** When using the local desktop MCP (`figma-desktop`), `fileKey` is not passed as a parameter to tool calls. The server automatically uses the currently open file, so only `nodeId` is needed.

**Example:**

- URL: `https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/DesignSystem?node-id=42-15`
- File key: `kL9xQn2VwM8pYrTb4ZcHjF`
- Node ID: `42-15`

#### Option B: Use Current Selection from Figma Desktop App (figma-desktop MCP only)

When using the `figma-desktop` MCP and the user has NOT provided a URL, the tools automatically use the currently selected node from the open Figma file in the desktop app.

**Note:** Selection-based prompting only works with the `figma-desktop` MCP server. The remote server requires a link to a frame or layer to extract context. The user must have the Figma desktop app open with a node selected.

### Step 2: Fetch Design Context

Run `get_design_context` with the extracted file key and node ID.

```
get_design_context(fileKey=":fileKey", nodeId="1-2")
```

This provides the structured data including:

- Layout properties (Auto Layout, constraints, sizing)
- Typography specifications
- Color values and design tokens
- Component structure and variants
- Spacing and padding values

**If the response is too large or truncated:**

1. Run `get_metadata(fileKey=":fileKey", nodeId="1-2")` to get the high-level node map
2. Identify the specific child nodes needed from the metadata
3. Fetch individual child nodes with `get_design_context(fileKey=":fileKey", nodeId=":childNodeId")`

### Step 3: Capture Visual Reference

Run `get_screenshot` with the same file key and node ID for a visual reference.

```
get_screenshot(fileKey=":fileKey", nodeId="1-2")
```

This screenshot serves as the source of truth for visual validation. Keep it accessible throughout implementation.

### Step 4: Download Required Assets

Download any assets (images, icons, SVGs) returned by the Figma MCP server.

**IMPORTANT:** Follow these asset rules:

- If the Figma MCP server returns a `localhost` source for an image or SVG, use that source directly
- DO NOT import or add new icon packages - all assets should come from the Figma payload
- DO NOT use or create placeholders if a `localhost` source is provided
- Assets are served through the Figma MCP server's built-in assets endpoint

### Step 5: Translate to Project Conventions

Translate the Figma output into this project's framework, styles, and conventions.

**Key principles:**

- Treat the Figma MCP output (typically React + Tailwind) as a representation of design and behavior, not as final code style
- Replace Tailwind utility classes with the project's preferred utilities or design system tokens
- Reuse existing components (buttons, inputs, typography, icon wrappers) instead of duplicating functionality
- Use the project's color system, typography scale, and spacing tokens consistently
- Respect existing routing, state management, and data-fetch patterns

### Step 6: Achieve 1:1 Visual Parity

Strive for pixel-perfect visual parity with the Figma design.

**Guidelines:**

- Prioritize Figma fidelity to match designs exactly
- Avoid hardcoded values - use design tokens from Figma where available
- When conflicts arise between design system tokens and Figma specs, prefer design system tokens but adjust spacing or sizes minimally to match visuals
- Follow WCAG requirements for accessibility
- Add component documentation as needed

### Step 7: Validate Against Figma

Before marking complete, validate the final UI against the Figma screenshot.

**Validation checklist:**

- [ ] Layout matches (spacing, alignment, sizing)
- [ ] Typography matches (font, size, weight, line height)
- [ ] Colo

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 21ca169

Download folder ↗
git clone https://github.com/openai/skills
git -C skills checkout 21ca169598cf

The author documents no install command, so this uses the repository directly. Our verdict covers commit 21ca169598cf only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 21ca169598cf

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about figma-implement-design

What does the figma-implement-design skill do?
Skills Catalog for Codex
Is figma-implement-design safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can figma-implement-design access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (21ca169598cf), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

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