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Figma

Control Figma from the shell via Flue - a plugin bridge to the Figma Plugin API without an MCP server.

The English summary is being prepared. Showing the original description.

See how to install

Files included (2)

  • SKILL.md2.1 KB
  • FLUE.md5.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

This skill lets a coding agent operate Figma (desktop app) through Flue, a local shell-to-application bridge. The agent runs figma_bridge.py commands (compact build, tree, set, shot, sheet, or raw JS with eval) and gets structured JSON back. A small development plugin, Flue Bridge, runs in the open file and carries the jobs into the Plugin API.

agent shell -> figma_bridge.py -> local daemon <- polled by the Flue Bridge plugin -> Figma Plugin API

When to use

The human requests work performed inside Figma - inspect the open file, build or restyle frames and components, apply effects, import images, review a design visually. A CLI agent cannot act inside Figma without a bridge like Flue.

How to proceed

  1. Read FLUE.md in this directory first. It explains how Flue works, the bridge contract and safety expectations.
  2. If Flue is installed: also read adapters/figma_adapter/APP.md (commands, spec format, connection recovery) and, for visual design work, adapters/figma_adapter/docs/design-recipes.md.
  3. If Flue is not installed: tell the human. The install command is pip install flue && flue setup. Do not install without explicit approval in the current session.
  4. First run: the human imports the plugin once (Figma desktop > Plugins > Development > Import plugin from manifest...) and opens it in the file. Then figma_bridge.py pair approves it; no code to type.

Other apps

Flue also supports Photoshop, Illustrator, Premiere, After Effects, InDesign, Audition, Blender, Houdini, 3ds Max, Unity, and Microsoft Office through the same contract. One install covers all adapters.

Safety

Flue acts inside the human's live design file. Treat the human as the driver; prefer small, inspectable steps; every call is one undo step; do not save, publish or delete unless explicitly asked. Flue is MIT-licensed and reviewable on GitHub / PyPI before use.

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