Automate Figma operations through Composio's Figma toolkit via Rube MCP.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfigma-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches figma-automation from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate figma-automation. Access via /figma-automation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Automate Figma operations through Composio's Figma toolkit via Rube MCP.
RUBE_MANAGE_CONNECTIONS with toolkit figmaRUBE_SEARCH_TOOLS first to get current tool schemasGet 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.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit figmaWhen to use: User wants to inspect Figma design files or extract component information
Tool sequence:
FIGMA_DISCOVER_FIGMA_RESOURCES - Extract IDs from Figma URLs [Prerequisite]FIGMA_GET_FILE_JSON - Get file data (simplified by default) [Required]FIGMA_GET_FILE_NODES - Get specific node data [Optional]FIGMA_GET_FILE_COMPONENTS - List published components [Optional]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 pages and top-level children)simplify: True for AI-friendly format (70%+ size reduction)Pitfalls:
ids must be a comma-separated string, not an arraydata_preview instead of dataWhen to use: User wants to export design assets as images
Tool sequence:
FIGMA_GET_FILE_JSON - Find node IDs to export [Prerequisite]FIGMA_RENDER_IMAGES_OF_FILE_NODES - Render nodes as images [Required]FIGMA_DOWNLOAD_FIGMA_IMAGES - Download rendered images [Optional]FIGMA_GET_IMAGE_FILLS - Get image fill URLs [Optional]Key parameters:
file_key: File keyids: Comma-separated node IDs to renderformat: 'png', 'svg', 'jpg', or 'pdf'scale: Scale factor (0.01-4.0) for PNG/JPGimages: Array of {node_id, file_name, format} for downloadsPitfalls:
When to use: User wants to extract design tokens for development
Tool sequence:
FIGMA_EXTRACT_DESIGN_TOKENS - Extract colors, typography, spacing [Required]FIGMA_DESIGN_TOKENS_TO_TAILWIND - Convert to Tailwind config [Optional]Key parameters:
file_key: File keyinclude_local_styles: Include local styles (default true)include_variables: Include Figma variablestokens: Full tokens object from extraction (for Tailwind conversion)Pitfalls:
When to use: User wants to view or add comments, or inspect version history
Tool sequence:
FIGMA_GET_COMMENTS_IN_A_FILE - List all file comments [Optional]FIGMA_ADD_A_COMMENT_TO_A_FILE - Add a comment [Optional]FIGMA_GET_REACTIONS_FOR_A_COMMENT - Get comment reactions [Optional]FIGMA_GET_VERSIONS_OF_A_FILE - Get version history [Optional]Key parameters:
file_key: File keyas_md: Return comments in Markdown formatmessage: Comment textcomment_id: Comment ID for reactionsPitfalls:
When to use: User wants to list team projects or files
Tool sequence:
FIGMA_GET_PROJECTS_IN_A_TEAM - List team projects [Optional]FIGMA_GET_FILES_IN_A_PROJECT - List project files [Optional]FIGMA_GET_TEAM_STYLES - List team published styles [Optional]Key parameters:
team_id: Team ID from URL (figma.com/files/team/TEAM_ID/...)project_id: Project IDPitfalls:
Extract IDs from Figma URLs:
1. Call FIGMA_DISCOVER_FIGMA_RESOURCES with figma_url
2. Extract file_key, node_id, team_id from response
3. Convert dash-format node IDs (1-541) to colon format (1:541)
1. Call FIGMA_GET_FILE_JSON with depth=2 for overview
2. Identify target nodes from the response
3. Call again with specific ids and higher depth for details
File Type Support:
Node ID Formats:
node-id=1-5411:541| Task | Tool Slug | Key Params |
|---|---|---|
| Parse URL | FIGMA_DISCOVER_FIGMA_RESOURCES | figma_url |
| Get file JSON | FIGMA_GET_FILE_JSON | file_key, ids, depth |
| Get nodes | FIGMA_GET_FILE_NODES | file_key, ids |
| Render images | FIGMA_RENDER_IMAGES_OF_FILE_NODES | file_key, ids, format |
| Download images | FIGMA_DOWNLOAD_FIGMA_IMAGES | file_key, images |
| Get component | FIGMA_GET_COMPONENT | file_key, node_id |
| File components | FIGMA_GET_FILE_COMPONENTS | file_key |
| Component sets | FIGMA_GET_FILE_COMPONENT_SETS | file_key |
| Design tokens | FIGMA_EXTRACT_DESIGN_TOKENS | file_key |
| Tokens to Tailwind | FIGMA_DESIGN_TOKENS_TO_TAILWIND | tokens |
| File comments | FIGMA_GET_COMMENTS_IN_A_FILE | file_key |
| Add comment | FIGMA_ADD_A_COMMENT_TO_A_FILE | file_key, message |
| File versions | FIGMA_GET_VERSIONS_OF_A_FILE | file_key |
| Team projects | FIGMA_GET_PROJECTS_IN_A_TEAM | team_id |
| Project files | FIGMA_GET_FILES_IN_A_PROJECT | project_id |
| Team styles | FIGMA_GET_TEAM_STYLES | team_id |
| File styles | FIGMA_GET_FILE_STYLES | file_key |
| Image fills | FIGMA_GET_IMAGE_FILLS | file_key |
This skill is applicable to execute the workflow or actions described in the overview.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Solid pick for teams standardizing on skills: figma-automation is focused, and the summary matches what you get after install.
We added figma-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for figma-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in figma-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
figma-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
figma-automation has been reliable in day-to-day use. Documentation quality is above average for community skills.
figma-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added figma-automation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: figma-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
figma-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
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