figma-implement-design

$npx mdskill add tech-leads-club/agent-skills/figma-implement-design

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.md

.github/skills/figma-implement-designView on GitHub ↗
---
name: figma-implement-design
description: Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Use when the user provides Figma URLs or node IDs and asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection. Do NOT use for general Figma data fetching, variable exploration, or MCP troubleshooting (use figma instead).
metadata:
  author: github.com/openai/skills
  version: '1.0.0'
---

# 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.

## 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 0: Set up Figma MCP (if not already configured)

If any MCP call fails because Figma MCP is not connected, pause and set it up:

1. Add the Figma MCP server to your agent's MCP configuration:
   - URL: `https://mcp.figma.com/mcp`
2. Enable remote MCP client if required by your agent.
3. Log in with OAuth following your agent's authentication flow.

After successful login, the user will have to restart their agent. You should finish your answer and tell them so when they try again they can continue with Step 1.

### 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)
- [ ] Colors match exactly
- [ ] Interactive states work as designed (hover, active, disabled)
- [ ] Responsive behavior follows Figma constraints
- [ ] Assets render correctly
- [ ] Accessibility standards met

## Implementation Rules

### Component Organization

- Place UI components in the project's designated design system directory
- Follow the project's component naming conventions
- Avoid inline styles unless truly necessary for dynamic values

### Design System Integration

- ALWAYS use components from the project's design system when possible
- Map Figma design tokens to project design tokens
- When a matching component exists, extend it rather than creating a new one
- Document any new components added to the design system

### Code Quality

- Avoid hardcoded values - extract to constants or design tokens
- Keep components composable and reusable
- Add TypeScript types for component props
- Include JSDoc comments for exported components

## Examples

### Example 1: Implementing a Button Component

User says: "Implement this Figma button component: https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/DesignSystem?node-id=42-15"

**Actions:**

1. Parse URL to extract fileKey=`kL9xQn2VwM8pYrTb4ZcHjF` and nodeId=`42-15`
2. Run `get_design_context(fileKey="kL9xQn2VwM8pYrTb4ZcHjF", nodeId="42-15")`
3. Run `get_screenshot(fileKey="kL9xQn2VwM8pYrTb4ZcHjF", nodeId="42-15")` for visual reference
4. Download any button icons from the assets endpoint
5. Check if project has existing button component
6. If yes, extend it with new variant; if no, create new component using project conventions
7. Map Figma colors to project design tokens (e.g., `primary-500`, `primary-hover`)
8. Validate against screenshot for padding, border radius, typography

**Result:** Button component matching Figma design, integrated with project design system.

### Example 2: Building a Dashboard Layout

User says: "Build this dashboard: https://figma.com/design/pR8mNv5KqXzGwY2JtCfL4D/Dashboard?node-id=10-5"

**Actions:**

1. Parse URL to extract fileKey=`pR8mNv5KqXzGwY2JtCfL4D` and nodeId=`10-5`
2. Run `get_metadata(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId="10-5")` to understand the page structure
3. Identify main sections from metadata (header, sidebar, content area, cards) and their child node IDs
4. Run `get_design_context(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId=":childNodeId")` for each major section
5. Run `get_screenshot(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId="10-5")` for the full page
6. Download all assets (logos, icons, charts)
7. Build layout using project's layout primitives
8. Implement each section using existing components where possible
9. Validate responsive behavior against Figma constraints

**Result:** Complete dashboard matching Figma design with responsive layout.

## Best Practices

### Always Start with Context

Never implement based on assumptions. Always fetch `get_design_context` and `get_screenshot` first.

### Incremental Validation

Validate frequently during implementation, not just at the end. This catches issues early.

### Document Deviations

If you must deviate from the Figma design (e.g., for accessibility or technical constraints), document why in code comments.

### Reuse Over Recreation

Always check for existing components before creating new ones. Consistency across the codebase is more important than exact Figma replication.

### Design System First

When in doubt, prefer the project's design system patterns over literal Figma translation.

## Common Issues and Solutions

### Issue: Figma output is truncated

**Cause:** The design is too complex or has too many nested layers to return in a single response.
**Solution:** Use `get_metadata` to get the node structure, then fetch specific nodes individually with `get_design_context`.

### Issue: Design doesn't match after implementation

**Cause:** Visual discrepancies between the implemented code and the original Figma design.
**Solution:** Compare side-by-side with the screenshot from Step 3. Check spacing, colors, and typography values in the design context data.

### Issue: Assets not loading

**Cause:** The Figma MCP server's assets endpoint is not accessible or the URLs are being modified.
**Solution:** Verify the Figma MCP server's assets endpoint is accessible. The server serves assets at `localhost` URLs. Use these directly without modification.

### Issue: Design token values differ from Figma

**Cause:** The project's design system tokens have different values than those specified in the Figma design.
**Solution:** When project tokens differ from Figma values, prefer project tokens for consistency but adjust spacing/sizing to maintain visual fidelity.

## Understanding Design Implementation

The Figma implementation workflow establishes a reliable process for translating designs to code:

**For designers:** Confidence that implementations will match their designs with pixel-perfect accuracy.
**For developers:** A structured approach that eliminates guesswork and reduces back-and-forth revisions.
**For teams:** Consistent, high-quality implementations that maintain design system integrity.

By following this workflow, you ensure that every Figma design is implemented with the same level of care and attention to detail.

## Additional Resources

- [Figma MCP Server Documentation](https://developers.figma.com/docs/figma-mcp-server/)
- [Figma MCP Server Tools and Prompts](https://developers.figma.com/docs/figma-mcp-server/tools-and-prompts/)
- [Figma Variables and Design Tokens](https://help.figma.com/hc/en-us/articles/15339657135383-Guide-to-variables-in-Figma)

More from tech-leads-club/agent-skills

SkillDescription
ai-cold-outreachWhen the user wants to build an AI-powered outreach system, write cold emails, improve deliverability, or scale personalized outreach. Also use when the user mentions 'cold email,' 'cold outreach,' 'outreach automation,' 'Instantly,' 'Smartlead,' 'Clay,' 'email sequences,' 'deliverability,' 'personalization at scale,' 'reply rate,' or 'outreach stack.' This skill covers the complete AI cold outreach system from signal detection through conversion. Do NOT use for technical implementation, code review, or software architecture.
ai-pricingWhen the user wants to price an AI product, choose a charge metric, design pricing tiers, or optimize margins. Also use when the user mentions 'AI pricing,' 'usage-based pricing,' 'consumption pricing,' 'outcome pricing,' 'BYOK,' 'bring your own key,' 'per-seat pricing,' 'pricing tiers,' 'AI margins,' 'cost per token,' or 'pricing model.' This skill covers pricing strategy, packaging, and margin management for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
ai-sdrWhen the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.
ai-seoWhen the user wants to build programmatic SEO with AI, create competitor alternative pages, optimize for AI Overviews, or scale content production. Also use when the user mentions 'SEO,' 'programmatic SEO,' 'AI content,' 'competitor alternative pages,' 'AI Overviews,' 'search optimization,' 'DataForSEO,' 'content at scale,' 'keyword strategy,' or 'organic traffic.' This skill covers AI-powered SEO strategy from keyword research through programmatic page generation. Do NOT use for technical implementation, code review, or software architecture.
ai-ugc-adsWhen the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling. Do NOT use for technical implementation, code review, or software architecture.
aws-advisorExpert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service. Do NOT use for non-AWS cloud providers or general infrastructure without AWS context.
best-practicesApply modern web development best practices for security, compatibility, and code quality. Use when asked to "apply best practices", "security audit", "modernize code", "code quality review", or "check for vulnerabilities". Do NOT use for accessibility (use web-accessibility), SEO (use seo), performance (use core-web-vitals), or comprehensive multi-area audits (use web-quality-audit).
chrome-devtoolsBrowser debugging, performance profiling, and automation via Chrome DevTools MCP. Use when user says "debug this page", "take a screenshot", "check network requests", "profile performance", "inspect console errors", or "analyze page load". Do NOT use for full E2E test suites (use playwright-skill) or non-browser debugging.
cloudflare-deployDeploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare. Do NOT use for deploying to Vercel, Netlify, or Render (use their respective skills).
codenaviYour pathfinder for navigating unknown codebases. Investigates with precision, implements surgically, and never assumes — if it doesn't know, it says so. Maintains a .notebook/ knowledge base that grows across sessions, turning every discovery into lasting intelligence. Summons available skills, MCPs, and docs when the mission demands. Use when fixing bugs, implementing features, refactoring, investigating flows, or any development task in unfamiliar territory. Triggers on "fix this", "implement this", "how does this work", "investigate this flow", "help me with this code". Do NOT use for greenfield scaffolding, CI/CD, or infrastructure provisioning.