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figma

Inspect Figma screens to gather details for implementation, including component variants, spacing, shared design settings, and image assets. It helps an agent understand layouts and design libraries before turning a design into code.

OriginalShow the original description

Inspect Figma designs and generate implementation context for screens and interfaces. Use to read component variants, spacing and design tokens, inspect layouts and design-system libraries, and extract image assets for implementing a design through Figma's official MCP server.

Works withFigma

Run score Not tested

See how to install

Good for

  • Gathering implementation details from a Figma screen
  • Checking component variants and spacing
  • Extracting image assets for implementation
  • Inspecting shared design settings and libraries

Overview

What it does

Read Figma designs and organize the information needed to implement screens and interfaces. Inspect component variants, layouts, and design-system libraries. Check design tokens, the shared settings used to manage details such as spacing and colors, and extract image assets for implementation. Separate guides cover implementing designs in code, editing the canvas, creating FigJam diagrams, and setting up Code Connect mappings.

When it helps

Use it when you want to understand the settings behind components and their placement before implementing a screen. It helps you check the design details that support what you see on the canvas. You can also gather the information needed to build screens that follow an existing design system.

Example requests

  • “Check the spacing and component variants I need to implement this Figma screen.”
  • “Extract the image assets used on this screen.”

Notes

The skill uses an installed figma CLI and a connection to Figma's official MCP server. Changes to designs, files, and other resources require individual approval. Usage limits depend on the account and seat, and read operations also count toward those limits.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodIt requires granular approval for changes, prohibits requesting credentials, and forbids automatic retries of failed writes.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingAn installed figma CLI is assumed; connection steps are provided, but CLI installation instructions are absent.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.

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Files included (7)

  • SKILL.md3.7 KB
  • connector_auth_config.yaml247 B
  • manifest.yaml3.0 KB
  • references/canvas-editing.md2.1 KB
  • references/code-connect.md1.4 KB
  • references/design-to-code.md1.7 KB
  • references/diagrams.md1.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Figma

Use the installed figma CLI. Start with figma status. If it reports not_connected, run figma authorize-url and share only the returned connect_url with the user.

OAuth uses Dynamic Client Registration and PKCE through authd. Figma issues a per-registration confidential client; authd stores its generated secret outside the runtime cell, so credentials must never be requested in chat.

Run figma list-tools to inspect the live provider catalogue and schemas, then call an advertised tool with:

figma call-tool --name <tool> --arguments-json '<json-object>'

list-tools exposes only reviewed Figma tools and includes each tool's hatch_permission, hatch_action, and hatch_permission_label. Unknown or new provider tools remain unavailable until reviewed. Read permissions follow the user's connector settings; design, file, asset, Code Connect, plugin, and shader changes require granular approval. Do not retry a failed or timed-out write automatically because its side effect may have completed.

Load Figma's provider skills

Before calling a tool whose description requires a Figma skill, fetch that skill with get_figma_skill and follow its prerequisites. These skill:// URIs refer to resources on Figma's MCP server. For example, before create_new_file, read:

figma call-tool --name get_figma_skill --arguments-json '{"uri":"skill://figma/figma-create-new-file/SKILL.md"}'

Use the skill URI advertised by the tool. If the relevant URI is unknown, fetch skill://index.json with the same tool and select the matching skill. Fetch supporting references only as needed, resolving relative paths against the parent skill URI. Reuse guidance already loaded for the current task; there is no need to install or copy these provider skills into the local skill directory. Skill reads use the designs.read permission.

Call get_figma_skill only when advertised by list-tools. If the tool is unavailable or Figma confirms that a skill is missing, continue using the live tool description, schema, and local guides only when the skill is optional (for example, "if it exists"). If the skill is required unconditionally, stop the dependent operation and report the missing guidance. Authentication failures, permission denials, timeouts, and other read errors do not establish that a skill is missing. Avoid repeated failed lookups; continue work that does not depend on the unavailable guidance.

Choose the workflow

Read only the guide that matches the task before calling provider tools:

For a Figma URL, extract its fileKey and node-id; convert node IDs from URL form (123-456) to API form (123:456). Inspect the live schema before constructing arguments because Figma can add optional fields without changing this skill.

Avoid redundant catalogue, context, screenshot, and validation calls. Figma applies account- and seat-dependent usage limits, and repeated reads can consume a user's small monthly allowance. Reuse results gathered earlier in the task.

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