figma-automation

Featured

Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.

AI & Automation 40,440 stars 6528 forks Updated today MIT

Install

View on GitHub

Quality Score: 99/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Figma Automation via Rube MCP Automate Figma operations through Composio's Figma toolkit via Rube MCP. ## Prerequisites - Rube MCP must be connected (RUBE_SEARCH_TOOLS available) - Active Figma connection via `RUBE_MANAGE_CONNECTIONS` with toolkit `figma` - Always call `RUBE_SEARCH_TOOLS` first to get current tool schemas ## Setup **Get Rube MCP**: Add `https://rube.app/mcp` as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works. 1. Verify Rube MCP is available by confirming `RUBE_SEARCH_TOOLS` responds 2. Call `RUBE_MANAGE_CONNECTIONS` with toolkit `figma` 3. If connection is not ACTIVE, follow the returned auth link to complete Figma auth 4. Confirm connection status shows ACTIVE before running any workflows ## Core Workflows ### 1. Get File Data and Components **When to use**: User wants to inspect Figma design files or extract component information **Tool sequence**: 1. `FIGMA_DISCOVER_FIGMA_RESOURCES` - Extract IDs from Figma URLs [Prerequisite] 2. `FIGMA_GET_FILE_JSON` - Get file data (simplified by default) [Required] 3. `FIGMA_GET_FILE_NODES` - Get specific node data [Optional] 4. `FIGMA_GET_FILE_COMPONENTS` - List published components [Optional] 5. `FIGMA_GET_FILE_COMPONENT_SETS` - List component sets [Optional] **Key parameters**: - `file_key`: File key from URL (e.g., 'abc123XYZ' from figma.com/design/abc123XYZ/...) - `ids`: Comma-separated node IDs (NOT an array) - `depth`: Tree traversal depth (2 for p...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category