openai-figma
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. (Imported from openai upstream skills)
- License 许可
- MIT
- 最近更新
- 2026-11-07
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- docs
- { "source": "https://github.com/openai/skills/tree/main/skills/.curated/figma" }
- kind
- knowledge
- name
- openai-figma
- risk
- low
- tags
- [ "openai", "upstream", "imported" ]
- version
- 1.0.0
- 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. (Imported from openai upstream skills)
- availability
- advanced
02 资源文件 4
- 参考文档references/core/examples.md1.6 KB
- 参考文档references/core/knowledge.md1.6 KB
- 参考文档references/core/rules.md1.3 KB
- 参考文档workflows/audit-linkable-content-architecture.md1.8 KB
03 SKILL.md 正文
openai-figma
Imported upstream skill.
- Provider source: https://github.com/openai/skills/tree/main/skills/.curated/figma
- Original skill name: figma
Upstream Content
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)
- Run get_design_context first to fetch the structured representation for the exact node(s).
- 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.
- Run get_screenshot for a visual reference of the node variant being implemented.
- Only after you have both get_design_context and get_screenshot, download any assets needed and start implementation.
- 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.
- 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.
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