figma
This skill enables an agent to fetch design context, screenshots, variables, and assets from Figma using the Figma MCP server, then translate those designs…
Identity proven by GitHub's verified organisation badge (letta-ai)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- Apache-2.0 (permissive)
- Pin
- 6785511pinned Oct 9, 2026
- Context cost
- about 720 tokenswhen the skill loads
- GitHub stars
- 148on letta-ai/skills
- Scripts
- None found
What it does
“Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.”
Generated summary from the skill's own text
This skill enables an agent to fetch design context, screenshots, variables, and assets from Figma using the Figma MCP server, then translate those designs into production code by reusing the project's components, tokens, and patterns. It provides a structured workflow for design-to-code implementation with validation against Figma for visual accuracy.
When to use it
- Implementing UI components or pages directly from Figma designs
- Translating Figma frames into React code with project conventions
- Fetching design tokens, variables, or assets from a Figma file
- Debugging Figma MCP server setup and configuration issues
When not to
- When you need to modify Figma designs themselves, not implement them
- If the project does not use Figma or an MCP server is not available
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add letta-ai/skills --skill figmaInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install letta-ai/skills figma@6785511e7d3913d9ec598435a77ae637cd45fc89Installs the commit we checked (6785511).
Copy by hand
Download the folder at 6785511 and put it in .claude/skills/figma for Claude Code and in .agents/skills/figma for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "figma" by Letta. Source, pinned to commit 6785511e7d3913d9ec598435a77ae637cd45fc89: https://github.com/letta-ai/skills/tree/6785511e7d3913d9ec598435a77ae637cd45fc89/tools/figma 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/figma/ for Claude Code and .agents/skills/figma/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/letta/figma
SKILL.md at the pin
--- name: figma description: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. --- # Figma MCP Use the Figma MCP server for Figma-driven implementation. For setup and debugging details (env vars, config, verification), see `references/figma-mcp-config.md`. ## Figma MCP Integration Rules These rules define how to translate Figma inputs into code for this project and must be followed for every Figma-driven change. ### Required flow (do not skip) 1. Run get_design_context first to fetch the structured representation for the exact node(s). 2. If the response is too large or truncated, run get_metadata to get the high-level node map and then re-fetch only the required node(s) with get_design_context. 3. Run get_screenshot for a visual reference of the node variant being implemented. 4. Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation. 5. Translate the output (usually React + Tailwind) into this project's conventions, styles and framework. Reuse the project's color tokens, components, and typography wherever possible. 6. Validate against Figma for 1:1 look and behavior before marking complete. ### Implementation rules - Treat the Figma MCP output (React + Tailwind) as a representation of design and behavior, not as final code style. - Replace Tailwind utility classes with the project's preferred utilities/design-system tokens when applicable. - Reuse existing components (e.g., 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 already adopted in the repo. - Strive for 1:1 visual parity with the Figma design. When conflicts arise, prefer design-system tokens and adjust spacing or sizes minimally to match visuals. - Validate the final UI against the Figma screenshot for both look and behavior. ### Asset handling - The Figma MCP Server provides an assets endpoint which can serve image and SVG assets. - IMPORTANT: If the Figma MCP Server returns a localhost source for an image or an SVG, use that image or SVG source directly. - IMPORTANT: DO NOT import/add new icon packages, all the assets should be in the Figma payload. - IMPORTANT: do NOT use or create placeholders if a localhost source is provided. ### Link-based prompting - The server is link-based: copy the Figma frame/layer link and give that URL to the MCP client when asking for implementation help. - The client cannot browse the URL but extracts the node ID from the link; always ensure the link points to the exact node/variant you want. ## References - `references/figma-mcp-config.md` — setup, verification, troubleshooting, and link-based usage reminders. - `references/figma-tools-and-prompts.md` — tool catalog and prompt patterns for selecting frameworks/components and fetching metadata.
From letta-ai/skills at 6785511, shown as plain text under its license: Apache-2.0 (permissive). The license text is in tools/figma/LICENSE.txt.
View SKILL.md on GitHub at 6785511Files
- SKILL.md3.2 KB · 5b11f7c8d0ce
- LICENSE.txt11 KB · cfc7749b96f6
- agents/
- openai.yaml457 B · 4c8e2a0c51d8
- assets/
- figma-small.svg810 B · c933768c03df
- figma.png1.6 KB · 4d16e1b19ae7
- icon.svg964 B · 8936c5dcd619
- references/
- figma-mcp-config.md2.5 KB · 3b8bbd016e7c
- figma-tools-and-prompts.md2.8 KB · 428add063f23
8 files, 24 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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