packages/skills-catalog/skills/(design)/figma-implement-design/SKILL.md
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).
npx skillsauth add tech-leads-club/agent-skills figma-implement-designInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
https://figma.com/design/:fileKey/:fileName?node-id=1-2
:fileKey is the file key1-2 is the node ID (the specific component or frame to implement)figma-desktop MCP: User can select a node directly in the Figma desktop app (no URL required)Follow these steps in order. Do not skip steps.
If any MCP call fails because Figma MCP is not connected, pause and set it up:
https://mcp.figma.com/mcpAfter 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.
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:
:fileKey (the segment after /design/)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:
https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/DesignSystem?node-id=42-15kL9xQn2VwM8pYrTb4ZcHjF42-15When 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.
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:
If the response is too large or truncated:
get_metadata(fileKey=":fileKey", nodeId="1-2") to get the high-level node mapget_design_context(fileKey=":fileKey", nodeId=":childNodeId")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.
Download any assets (images, icons, SVGs) returned by the Figma MCP server.
IMPORTANT: Follow these asset rules:
localhost source for an image or SVG, use that source directlylocalhost source is providedTranslate the Figma output into this project's framework, styles, and conventions.
Key principles:
Strive for pixel-perfect visual parity with the Figma design.
Guidelines:
Before marking complete, validate the final UI against the Figma screenshot.
Validation checklist:
User says: "Implement this Figma button component: https://figma.com/design/kL9xQn2VwM8pYrTb4ZcHjF/DesignSystem?node-id=42-15"
Actions:
kL9xQn2VwM8pYrTb4ZcHjF and nodeId=42-15get_design_context(fileKey="kL9xQn2VwM8pYrTb4ZcHjF", nodeId="42-15")get_screenshot(fileKey="kL9xQn2VwM8pYrTb4ZcHjF", nodeId="42-15") for visual referenceprimary-500, primary-hover)Result: Button component matching Figma design, integrated with project design system.
User says: "Build this dashboard: https://figma.com/design/pR8mNv5KqXzGwY2JtCfL4D/Dashboard?node-id=10-5"
Actions:
pR8mNv5KqXzGwY2JtCfL4D and nodeId=10-5get_metadata(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId="10-5") to understand the page structureget_design_context(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId=":childNodeId") for each major sectionget_screenshot(fileKey="pR8mNv5KqXzGwY2JtCfL4D", nodeId="10-5") for the full pageResult: Complete dashboard matching Figma design with responsive layout.
Never implement based on assumptions. Always fetch get_design_context and get_screenshot first.
Validate frequently during implementation, not just at the end. This catches issues early.
If you must deviate from the Figma design (e.g., for accessibility or technical constraints), document why in code comments.
Always check for existing components before creating new ones. Consistency across the codebase is more important than exact Figma replication.
When in doubt, prefer the project's design system patterns over literal Figma translation.
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.
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.
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.
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.
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.
tools
Reviews a GitHub pull request and posts inline comments plus one consolidated summary, adapting to any codebase by discovering the project's own test runner, requirement specs, and architecture conventions before running six specialized review agents in parallel. Stack-agnostic across language and framework; targets GitHub PRs via the gh CLI. Use when the user says "review PR 128", "review this PR", "code review this PR", or "check this pull request". Do NOT use for creating PRs or responding to review comments (use gh-address-comments), or debugging failing CI checks (use gh-fix-ci).
development
Opinionated Rails conventions: rich models, concerns, CRUD-everything, state-as-records, minimal dependencies, Minitest with fixtures. Load this skill BEFORE any code-level thinking, not only before editing a file. It is required the moment a task touches Rails code in ANY way: designing or even just discussing a data model, schema, migration, entity, association, field, validation, class, or method name; writing, planning, reviewing, analyzing, testing, debugging, or refactoring; or proposing any model, table, column, route, or code snippet inline in chat. If you are about to name a model or sketch a column you are already in scope, even in an exploratory back-and-forth where no file is written yet. Do not let a "we're just discussing" framing defer it. Do NOT use for non-Rails backends, NestJS, or general architecture (use nestjs-modular-monolith or coding-guidelines).
testing
Feature planning and implementation with 4 adaptive phases — Specify, Design, Tasks, Execute. Auto-sizes depth by complexity. Creates atomic tasks with verification criteria, atomic git commits, and requirement traceability. Features an independent Verifier (author != verifier, evidence-or-zero), persistent decision log (STATE.md), and test-coverage-matrix-driven tests, plus a self-improving lessons layer that turns verification failures into reusable project-local guidance. Stack-agnostic. Use when (1) Planning features (requirements, design, task breakdown), (2) Implementing with verification and atomic commits, (3) Validating or verifying an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for architecture decomposition analysis (use architecture skills) or technical design docs (use create-technical-design-doc).
development
Generative Engine Optimization (GEO) specialist — the technical, on-page publishing work that makes a given page or site discoverable, understandable, trustworthy, quotable, and fresh for AI answer engines (Google AI Overviews, ChatGPT Search, Bing Copilot, Perplexity). Use when asked to 'optimize this page/site for GEO', 'optimize for AI search / answer engines', 'get my page cited by ChatGPT/Perplexity', 'improve AI visibility/citability', 'write an llms.txt', 'add citation-ready structure or schema for AI answers', 'otimizar para busca com IA', or to audit/create/improve a codebase for generative search. Do NOT use for AI-driven SEO content strategy or programmatic pages at scale (use ai-seo), classic keyword/SERP ranking (use seo), accessibility (use web-accessibility), or multi-area site audits (use web-quality-audit).