How do 'skills' in Figma for Agents help ensure brand-aligned designs?
Skills are markdown files that provide AI agents with specialized knowledge and context. They outline workflows, sequencing, and conventions, ensuring agents understand how to apply your team's design system, brand guidelines, and aesthetic preferences to produce designs that align with your product's established look and feel.
What is the role of the MCP server in Figma for Agents?
The MCP server (e.g., for Claude Code, Codex) brings Figma directly into the developer workflow. It allows large language models (LLMs) to achieve design-informed code generation by enabling agents to write directly to Figma files, extending and adhering to the design standards established within those files.
Can Figma for Agents help synchronize designs with existing codebases?
Yes, the product includes two complementary tools for this. The 'generate_figma_design' tool translates HTML from live apps and websites into editable Figma layers, bringing the latest UI into Figma for iteration. The 'use_figma' tool then empowers agents to edit these designs or create new assets using your existing components and variables, ensuring synchronization.
What is the foundational Figma skill, and how can teams customize it?
The foundational Figma skill, '/figma-use', gives agents a shared understanding of how Figma works, including its structure and core principles. Teams can then customize and iterate on this base capability to tailor how their agents operate within Figma, adapting it to their specific workflows and design needs.
Are there specific examples of tasks AI agents can perform with Figma for Agents?
Yes, example skills demonstrate various capabilities, such as '/figma-generate-library' to create new components from a codebase, '/figma-generate-design' to create new designs using existing components, '/create-voice' to generate screen reader specifications, and '/cc-figma-component' to generate Figma components from a structured JSON contract.